# High-Density of FcγRIIIA+ (CD16+) Tumor-Associated Neutrophils in Metastases Improves the Therapeutic Response of Cetuximab in Metastatic Colorectal Cancer Patients, Independently of the HLA-E/CD94-NKG2A Axis

Marie Denis Musquer, Nicolas Jouand, Morgane Pere, Juliette Eugène Lamer, Stéphane Bézieau, Tamara Matysiak, Roger Faroux, François-Xavier Caroli Bosc, Marie-Christine Rousselet, François Leclair, et al.

► To cite this version:

Marie Denis Musquer, Nicolas Jouand, Morgane Pere, Juliette Eugène Lamer, Stéphane Bézieau, et al. High-Density of FcγRIIIA+ (CD16+) Tumor-Associated Neutrophils in Metastases Improves the Therapeutic Response of Cetuximab in Metastatic Colorectal Cancer Patients, Independently of the HLA-E/CD94-NKG2A Axis. Frontiers in Oncology, 2021, 11, 10.3389/fonc.2021.684478. hal-03292120

HAL Id: hal-03292120

https://univ-angers.hal.science/hal-03292120

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# High-Density of FcγRIIIA⁺ (CD16⁺) Tumor-Associated Neutrophils in Metastases Improves the Therapeutic Response of Cetuximab in Metastatic Colorectal Cancer Patients, Independently of the HLA-E/CD94-NKG2A Axis

OPEN ACCESS

**Edited by:**

Nadia M. Hamdy
Ain Shams University, Egypt

**Reviewed by:**

Dina H. Kassem,
Ain Shams University, Egypt
Hekmat M. El Magdoub,
Misr International University, Egypt
Ahmed Abulsoud,
Al-Azhar University, Egypt

*Correspondence:

Céline Bossard
celine.bossardwanadoo.fr@orange.fr

**Specialty section:**

This article was submitted to
Gastrointestinal Cancers,
a section of the journal
Frontiers in Oncology

**Received:** 23 March 2021

**Accepted:** 17 May 2021

**Published:** 15 June 2021

**Citation:**

Denis Musquer M, Jouand N, Pere M,
Lamer JE, Bézieau S, Matysiak T,
Faroux R, Caroli Bosc F-X,
Rousselet M-C, Leclair F, Mosnier J-F,
Toquet C, Gervois N and Bossard C
(2021) *High-Density of FcγRIIIA⁺
(CD16⁺)* Tumor-Associated
Neutrophils in Metastases Improves
the Therapeutic Response of
Cetuximab in Metastatic Colorectal
Cancer Patients, Independently of the
HLA-E/CD94-NKG2A Axis.
Front. Oncol. 11:684478.
doi: 10.3389/fonc.2021.684478

Marie Denis Musquer¹, Nicolas Jouand²,³, Morgane Pere⁴, Juliette Eugène Lamer¹,
Stéphane Bézieau⁵, Tamara Matysiak⁶, Roger Faroux⁷, François-Xavier Caroli Bosc⁸,
Marie-Christine Rousselet⁹, François Leclair¹⁰, Jean-François Mosnier¹, Claire Toquet¹,
Nadine Gervois²,³ and Céline Bossard¹,²,³*

¹ Department of Pathology, University Hospital of Nantes, Nantes, France, ² Université de Nantes, Inserm, CRCINA, Nantes, France, ³ LabEx IGO "Immunotherapy, Graft, Oncology", Nantes, France, ⁴ Biostatistics Plateform, University Hospital of Nantes, Nantes, France, ⁵ Department of Genetic, University Hospital of Nantes, Nantes, France, ⁶ Department of Gastroenterology, University Hospital of Nantes, Nantes, France, ⁷ Department of Gastroenterology, Hospital of La Roche sur Yon, La Roche sur Yon, France, ⁸ Department of Gastroenterology University Hospital of Angers, Angers, France, ⁹ Department of Pathology, University Hospital of Angers, Angers, France, ¹⁰ Department of Pathology, Hospital of La Roche sur Yon, La Roche sur Yon, France

Antibody-dependent cellular cytotoxicity (ADCC) in the anti-tumor effect of cetuximab in metastatic colorectal cancer (mCRC) is only based on the impact of FcγRIIIA (CD16) polymorphisms as predictive of therapeutic response. However, nature, density and therapeutic impact of FcγRIIIA⁺ (CD16) effector cells in tumor remain poorly documented. Moreover, the inhibition of cetuximab-mediated ADCC induced by NK cells by the engagement of the new inhibitory CD94-NKG2A immune checkpoint has only been demonstrated *in vitro*. This multicentric study aimed to determine, on paired primary and metastatic tissue samples from a cohort of mCRC patients treated with cetuximab: 1) the nature and density of FcγRIIIA⁺ (CD16) immune cells, 2) the expression profile of HLA-E/β2m by tumor cells as well as the density of CD94⁺ immune cells and 3) their impact on both objective response to cetuximab and survival. We demonstrated that FcγRIIIA⁺ (CD16) intraepithelial immune cells mainly correspond to tumor-associated neutrophils (TAN), and their high density in metastases was significantly associated with a better response to cetuximab, independently of the expression of the CD94/NKG2A inhibitory immune checkpoint. However, HLA-E/β2m, preferentially overexpressed in metastases compared with primary tumors and associated with CD94⁺ tumor infiltrating lymphocytes (TILs), was associated with a poor overall survival. Altogether, these results strongly support the use of bispecific antibodies directed against both EGFR and FcγRIIIA (CD16)
<figure><img src="image_2.png" /></figure>

Check for
updates

# High-Density of FcγRIIIA⁺ (CD16⁺) Tumor-Associated Neutrophils in Metastases Improves the Therapeutic Response of Cetuximab in Metastatic Colorectal Cancer Patients, Independently of the HLA-E/CD94-NKG2A Axis

OPEN ACCESS

**Edited by:**

Nadia M. Hamdy
Ain Shams University, Egypt

**Reviewed by:**

Dina H. Kassem,
Ain Shams University, Egypt
Hekmat M. El Magdoub,
Misr International University, Egypt
Ahmed Abulsoud,
Al-Azhar University, Egypt

*Correspondence:

Céline Bossard
celine.bossardwanadoo.fr@orange.fr

**Specialty section:**

This article was submitted to
Gastrointestinal Cancers,
a section of the journal
Frontiers in Oncology

**Received:** 23 March 2021

**Accepted:** 17 May 2021

**Published:** 15 June 2021

**Citation:**

Denis Musquer M, Jouand N, Pere M,
Lamer JE, Bézieau S, Matysiak T,
Faroux R, Caroli Bosc F-X,
Rousselet M-C, Leclair F, Mosnier J-F,
Toquet C, Gervois N and Bossard C
(2021) *High-Density of FcγRIIIA⁺
(CD16⁺)* Tumor-Associated
Neutrophils in Metastases Improves
the Therapeutic Response of
Cetuximab in Metastatic Colorectal
Cancer Patients, Independently of the
HLA-E/CD94-NKG2A Axis.
Front. Oncol. 11:684478.
doi: 10.3389/fonc.2021.684478

Marie Denis Musquer¹, Nicolas Jouand²,³, Morgane Pere⁴, Juliette Eugène Lamer¹,
Stéphane Bézieau⁵, Tamara Matysiak⁶, Roger Faroux⁷, François-Xavier Caroli Bosc⁸,
Marie-Christine Rousselet⁹, François Leclair¹⁰, Jean-François Mosnier¹, Claire Toquet¹,
Nadine Gervois²,³ and Céline Bossard¹,²,³*

¹ Department of Pathology, University Hospital of Nantes, Nantes, France, ² Université de Nantes, Inserm, CRCINA, Nantes, France, ³ LabEx IGO "Immunotherapy, Graft, Oncology", Nantes, France, ⁴ Biostatistics Plateform, University Hospital of Nantes, Nantes, France, ⁵ Department of Genetic, University Hospital of Nantes, Nantes, France, ⁶ Department of Gastroenterology, University Hospital of Nantes, Nantes, France, ⁷ Department of Gastroenterology, Hospital of La Roche sur Yon, La Roche sur Yon, France, ⁸ Department of Gastroenterology University Hospital of Angers, Angers, France, ⁹ Department of Pathology, University Hospital of Angers, Angers, France, ¹⁰ Department of Pathology, Hospital of La Roche sur Yon, La Roche sur Yon, France

Antibody-dependent cellular cytotoxicity (ADCC) in the anti-tumor effect of cetuximab in metastatic colorectal cancer (mCRC) is only based on the impact of FcγRIIIA (CD16) polymorphisms as predictive of therapeutic response. However, nature, density and therapeutic impact of FcγRIIIA⁺ (CD16) effector cells in tumor remain poorly documented. Moreover, the inhibition of cetuximab-mediated ADCC induced by NK cells by the engagement of the new inhibitory CD94-NKG2A immune checkpoint has only been demonstrated *in vitro*. This multicentric study aimed to determine, on paired primary and metastatic tissue samples from a cohort of mCRC patients treated with cetuximab: 1) the nature and density of FcγRIIIA⁺ (CD16) immune cells, 2) the expression profile of HLA-E/β2m by tumor cells as well as the density of CD94⁺ immune cells and 3) their impact on both objective response to cetuximab and survival. We demonstrated that FcγRIIIA⁺ (CD16) intraepithelial immune cells mainly correspond to tumor-associated neutrophils (TAN), and their high density in metastases was significantly associated with a better response to cetuximab, independently of the expression of the CD94/NKG2A inhibitory immune checkpoint. However, HLA-E/β2m, preferentially overexpressed in metastases compared with primary tumors and associated with CD94⁺ tumor infiltrating lymphocytes (TILs), was associated with a poor overall survival. Altogether, these results strongly support the use of bispecific antibodies directed against both EGFR and FcγRIIIA (CD16)
in mCRC patients, to boost cetuximab-mediated ADCC in *RAS* wild-type mCRC patients. The preferential overexpression of HLA-E/β2m in metastases, associated with CD94⁺ TILs and responsible for a poor prognosis, provides convincing arguments to inhibit this new immune checkpoint with monalizumab, a humanized anti-NKG2A antibody, in combination with anti-FcγRIIIA/EGFR bispecific antibodies as a promising therapeutic perspective in *RAS* wild-type mCRC patients.

**Keywords:** cetuximab, metastatic colorectal carcinoma, CD16, tumor-associated neutrophils, antibody-dependent cellular cytotoxicity, HLA-E/NKG2A axis

## INTRODUCTION

The introduction of targeted therapies, especially monoclonal antibodies targeting epidermal growth factor receptor (EGFR), such as cetuximab, a human-mouse chimeric IgG1 antibody, in the treatment of patients with metastatic colorectal cancer (mCRC), has led to a consistent improvement in survival. *RAS* mutations are the only well-established predictive biomarkers of resistance to cetuximab (1). Antibody-dependent cellular cytotoxicity (ADCC) mechanism by which Fc region of the antibody binds to the Fc gamma receptors expressed by immune cells plays a key role in the antitumor effect of IgG1 antibodies (2), and *in vitro* studies demonstrated that cetuximab can mediate ADCC against several tumor cell lines (3). Fcγ receptor type IIIA (FcγRIIIA), commonly expressed on NK cells as well as on several other immune cells including γδ T cells, neutrophils and monocytes/macrophages, is well known for its role in ADCC (4, 5). More specifically, the impact of FcγRIIIA polymorphisms as a predictive factor for CRC patients treated with cetuximab suggests an important role of ADCC in cetuximab efficacy (6, 7).

In parallel, some *in vitro* data based on CRC cell line demonstrated that the non-classical major histocompatibility complex (MHC) Class I, human leucocyte antigen E (HLA-E) expressed by tumor cells and stabilized by β2 microglobulin (β2m) co-expression, inhibits the cetuximab-mediated cellular cytotoxicity induced by natural killer (NK) cells. Indeed, Levy et al. specified that this inhibitory effect on ADCC was dependent of the direct interaction between HLA-E/β2m, overexpressed by tumor cells, and its specific inhibitory receptor, CD94/NKG2A (NK group 2 member A) expressed by NK cells (8). HLA-E is a poorly polymorphic human MHC class Ib molecule, ubiquitously expressed at low levels on the cell surface of most tissues, whose functional expression requires its stabilization by the light chain β2-microglobulin (β2m) to form a membrane heterodimeric ligand. This ligand, aberrantly overexpressed by tumor cells in several solid tumors, interacts either with the inhibitory CD94/NKG2A receptor, or the activating CD94/NKG2C (NK group 2 member C) receptor selectively expressed by immune cells with cytolytic functions such as NK cells, NKT (natural killer T) cells and a subset of T cells (9). Indeed, we have previously shown that overexpression of HLA-E/β2m by tumor cells (primary tumors) characterizes a subgroup of 23% of CRC. In the tumor microenvironment of those primary HLA-E/β2m⁺ tumors, NK cells and mostly CD8⁺ αβ

T lymphocytes preferentially expressed the inhibitory CD94/NKG2A receptor. These two immune markers (HLA-E/β2m and CD94/NKG2A) were associated with poor prognosis (10, 11). Besides, the CD94/NKG2A receptor, recently considered as a new inhibitory immune checkpoint that blocks the terminal cytolytic tumor-attack in the tumor microenvironment, can be blocked by the anti-NKG2A antibody, monalizumab, a therapy associated with promising clinical responses in gynecologic and head and neck refractory cancers (12).

Altogether, these results prompted us to address for the first time in a cohort of *RAS* wild-type mCRC patients treated with cetuximab, on paired primary and metastatic tissue samples: 1) the nature and density of FcγRIIIA⁺ (CD16) immune cells, 2) the expression profile of HLA-E/β2m by tumor cells as well as the density of intra-tumor CD94⁺ immune cells and 3) their impact on both objective response to cetuximab and overall survival.

## PATIENTS AND METHODS

### Patients and Tissue Samples

Forty-three patients treated with cetuximab for a mCRC at the "Centre Hospitalier Universitaire" (CHU) of Nantes (n=13), Angers (n=3) and La Roche sur Yon (n=7), and at the "Hôpital du Confluent" of Nantes (n= 20) between 2000 and 2015, were retrospectively included in this study. For these patients, tissues samples of both primary and matched metastatic tumors were available. Rectal carcinomas previously treated with chemo-radiotherapy were excluded from the study, as well as patients with unavailable tissue samples for immunohistochemistry and/or complementary molecular analyses. As the patients were treated before the cetuximab new indications in July 2013, only the *KRAS* codon 12/13 (exon 2) wild-type status was known at the time of the study. For the purpose of this study, all primary and metastatic collected tissues were re-analyzed for other *RAS* mutations in four additional *KRAS* codons (exons 3 and 4) and six *NRAS* codons (exons 2, 3, and 4) using HRM PCR and sequencing. Additional mutations were found in 4 patients (two 436G>A mutations in *KRAS* exon 4 in both primary tumor and paired metastasis, one 351A>C mutation in *KRAS* exon 4 in a primary tumor and one 181C>A mutation in *NRAS* exon 3 in a metastasis), thus resulting in 39 patients with a wild-type *RAS* status eligible for the current study. All patients received Cetuximab plus chemotherapy (or other cytotoxic agent) for
in mCRC patients, to boost cetuximab-mediated ADCC in *RAS* wild-type mCRC patients. The preferential overexpression of HLA-E/β2m in metastases, associated with CD94⁺ TILs and responsible for a poor prognosis, provides convincing arguments to inhibit this new immune checkpoint with monalizumab, a humanized anti-NKG2A antibody, in combination with anti-FcγRIIIA/EGFR bispecific antibodies as a promising therapeutic perspective in *RAS* wild-type mCRC patients.

**Keywords:** cetuximab, metastatic colorectal carcinoma, CD16, tumor-associated neutrophils, antibody-dependent cellular cytotoxicity, HLA-E/NKG2A axis

## INTRODUCTION

The introduction of targeted therapies, especially monoclonal antibodies targeting epidermal growth factor receptor (EGFR), such as cetuximab, a human-mouse chimeric IgG1 antibody, in the treatment of patients with metastatic colorectal cancer (mCRC), has led to a consistent improvement in survival. *RAS* mutations are the only well-established predictive biomarkers of resistance to cetuximab (1). Antibody-dependent cellular cytotoxicity (ADCC) mechanism by which Fc region of the antibody binds to the Fc gamma receptors expressed by immune cells plays a key role in the antitumor effect of IgG1 antibodies (2), and *in vitro* studies demonstrated that cetuximab can mediate ADCC against several tumor cell lines (3). Fcγ receptor type IIIA (FcγRIIIA), commonly expressed on NK cells as well as on several other immune cells including γδ T cells, neutrophils and monocytes/macrophages, is well known for its role in ADCC (4, 5). More specifically, the impact of FcγRIIIA polymorphisms as a predictive factor for CRC patients treated with cetuximab suggests an important role of ADCC in cetuximab efficacy (6, 7).

In parallel, some *in vitro* data based on CRC cell line demonstrated that the non-classical major histocompatibility complex (MHC) Class I, human leucocyte antigen E (HLA-E) expressed by tumor cells and stabilized by β2 microglobulin (β2m) co-expression, inhibits the cetuximab-mediated cellular cytotoxicity induced by natural killer (NK) cells. Indeed, Levy et al. specified that this inhibitory effect on ADCC was dependent of the direct interaction between HLA-E/β2m, overexpressed by tumor cells, and its specific inhibitory receptor, CD94/NKG2A (NK group 2 member A) expressed by NK cells (8). HLA-E is a poorly polymorphic human MHC class Ib molecule, ubiquitously expressed at low levels on the cell surface of most tissues, whose functional expression requires its stabilization by the light chain β2-microglobulin (β2m) to form a membrane heterodimeric ligand. This ligand, aberrantly overexpressed by tumor cells in several solid tumors, interacts either with the inhibitory CD94/NKG2A receptor, or the activating CD94/NKG2C (NK group 2 member C) receptor selectively expressed by immune cells with cytolytic functions such as NK cells, NKT (natural killer T) cells and a subset of T cells (9). Indeed, we have previously shown that overexpression of HLA-E/β2m by tumor cells (primary tumors) characterizes a subgroup of 23% of CRC. In the tumor microenvironment of those primary HLA-E/β2m⁺ tumors, NK cells and mostly CD8⁺ αβ

T lymphocytes preferentially expressed the inhibitory CD94/NKG2A receptor. These two immune markers (HLA-E/β2m and CD94/NKG2A) were associated with poor prognosis (10, 11). Besides, the CD94/NKG2A receptor, recently considered as a new inhibitory immune checkpoint that blocks the terminal cytolytic tumor-attack in the tumor microenvironment, can be blocked by the anti-NKG2A antibody, monalizumab, a therapy associated with promising clinical responses in gynecologic and head and neck refractory cancers (12).

Altogether, these results prompted us to address for the first time in a cohort of *RAS* wild-type mCRC patients treated with cetuximab, on paired primary and metastatic tissue samples: 1) the nature and density of FcγRIIIA⁺ (CD16) immune cells, 2) the expression profile of HLA-E/β2m by tumor cells as well as the density of intra-tumor CD94⁺ immune cells and 3) their impact on both objective response to cetuximab and overall survival.

## PATIENTS AND METHODS

### Patients and Tissue Samples

Forty-three patients treated with cetuximab for a mCRC at the "Centre Hospitalier Universitaire" (CHU) of Nantes (n=13), Angers (n=3) and La Roche sur Yon (n=7), and at the "Hôpital du Confluent" of Nantes (n= 20) between 2000 and 2015, were retrospectively included in this study. For these patients, tissues samples of both primary and matched metastatic tumors were available. Rectal carcinomas previously treated with chemo-radiotherapy were excluded from the study, as well as patients with unavailable tissue samples for immunohistochemistry and/or complementary molecular analyses. As the patients were treated before the cetuximab new indications in July 2013, only the *KRAS* codon 12/13 (exon 2) wild-type status was known at the time of the study. For the purpose of this study, all primary and metastatic collected tissues were re-analyzed for other *RAS* mutations in four additional *KRAS* codons (exons 3 and 4) and six *NRAS* codons (exons 2, 3, and 4) using HRM PCR and sequencing. Additional mutations were found in 4 patients (two 436G>A mutations in *KRAS* exon 4 in both primary tumor and paired metastasis, one 351A>C mutation in *KRAS* exon 4 in a primary tumor and one 181C>A mutation in *NRAS* exon 3 in a metastasis), thus resulting in 39 patients with a wild-type *RAS* status eligible for the current study. All patients received Cetuximab plus chemotherapy (or other cytotoxic agent) for
their metastatic disease (Irinotecan n=18; FOLFIRI regimen (irinotecan + folinic acid + 5 fluorouracil combination) n=10; FOLFOX regimen (oxaliplatin + folinic acid + 5 fluorouracil combination), n=6; Camptomycine n=2, Afatinib n=1), except two patients who received Cetuximab alone. Distant metastases were defined as synchronous or metachronous according to their identification, at the time of the primary tumor diagnosis or more than 12 months after, respectively (13).

For each patient, formalin-fixed and paraffin-embedded tissues representative of the primary tumor (37 surgical resections and 2 biopsies) and matched metastasis (26 surgical resections and 13 biopsies) were selected. Tissue samples were collected from the archives of the Department of Pathology or of each participating center, and were processed according to the guidelines of our institution and of the French Ethics Committee for Research on human tissues. The institutional board of the University Hospital of Nantes approved this study. Our tissue biocollection has been registered with the French Ministry for Higher Education and Research (DC-2014-2206) with approval from the ethic committee (CPP Ouest IV-Nantes). Our study was conducted in accordance with the Helsinki Declaration.

For the flow cytometry analysis, as no viable fresh tissues samples were available for our retrospective cohort of 39 patients, we included prospectively four successive patients who benefited from a colectomy for a CRC at the University Hospital of Nantes, and who did not receive any neoadjuvant chemotherapy or radiotherapy. A fresh tissue sample of the primary tumor was immediately dissected for flow cytometry analyses. Each patient included signed an informed consent form.

## Clinical Evaluation and Response Criteria

Tumor response was assessed 12 weeks after starting chemotherapy by computed tomography (CT-Scan) according to the Response Evaluation Criteria in Solid Tumors (RECIST) criteria and classified as partial response (PR), stable disease (SD) or progression disease (PD). Patients with SD or PD were defined as non-responders (14). Overall survival (OS) was measured from the date of first diagnosis (tumor resection or biopsy) to the date of death related to CRC or to the latest follow-up, and censured at five years.

## Tumor Sample Dissociation

In order to precisely define the nature of FcγRIIIA⁺ (CD16) immune cells in the tumor microenvironment of CRC, we assessed by flow cytometry the phenotype of FcγRIIIA⁺ (CD16) cells from cell suspensions derived from four fresh primary tumors of CRC patients included prospectively. Fresh dissected tumor samples were treated as described previously (15). Briefly, the tissue fragments were cut into small pieces (1–2 mm²) at room temperature in RPMI 1640 medium (Life Technologies), and then transferred into a GentleMACS C tube (MiltenyiBiotec) for two rounds of non-enzymatic mechanical dissociation with a GentleMacsOctoDissociator (Program A.01, MiltenyiBiotec). The resulting cell suspension was filtered through a 40-µm cell strainer (Dutscher), and then

centrifuged for 15 min at 600g at room temperature, and finally resuspended in RPMI 1640 before the *ex-vivo* flow cytometry analyses.

## Flow Cytometry Analyses

Immediately after fresh tumor samples dissociation, 2 × 10⁵ cells were incubated in 100 µl of brilliant stain buffer (BD Biosciences) with one of the three following combinations of antibodies at saturating concentrations at 4°C for 30 min. To identify FcγRIIIA⁺ (CD16) expressing cells in the lymphoid and myeloid tumor-infiltrating cells, the CD16-Phycoerythrin (PE) mAb (clone 3G8, BD Pharmingen) was used in association with three different combinations of antibodies: 1) CD3-Brillant Violet (BV) 421 (clone UCHT1, BD Pharmingen), TCR αβ-BV510 (clone T10B9.1A-31, BD Pharmingen), TCR γδ-Allophycocyanin (APC) (clone B1, BD Pharmingen), CD8α-BV650 (clone RPA-T8, BD Pharmingen), CD4-BV786 (clone L200, BD Biosciences); 2) CD3-BV421 (clone UCHT1, BD Pharmingen), CD56-APC (clone B159, BD Pharmingen), TCRα24-BV711 (clone 6B11, BD Biosciences); and 3) CD15-APC (clone HI98/HIM1, BD Pharmingen), CD11β-BV510 (clone ICRF44/44, BD Pharmingen), CD14-PE-Cyanin 7 (clone M5E2, BD Biosciences). Dead cells were identified with the viability marker Zombie NIR (BioLegend). Following incubation, cells were washed twice in PBS with 0.1% BSA medium and finally suspended in 200 µl of PBS. Stained cells were analyzed by flow cytometry using a LSRII flow cytometer and BD Diva software (BD Biosciences). The compensation adjustments were made using the anti-mouse Ig, k/negative control compensation particle set (BD Biosciences). Flow cytometry gating strategy is depicted in **Figure 1A**. FcγRIIIA⁺ (CD16) immune cells were gated in lymphoid (G1) and myeloid (G2) living cells among the lymphoid cells, NK cells and T cells were identified by their CD3⁻CD56⁺ or CD3⁺TCR αβ/TCR γδ expression profile, respectively. Among the myeloid cells, granulocytes and monocytes/macrophages were identified by their CD15⁺CD11b⁺CD14⁻ or CD15⁻CD11b⁺CD14⁺/⁻ phenotype.

## Immunohistochemical Analyses

We analyzed by immunohistochemistry, both in primary tumors and paired metastasis for each patient, the density of intraepithelial FcγRIIIA⁺ (CD16) immune cells, as immune cells in close contact with tumor cells can be considered as the most efficient effector cells to kill tumor cells *via* ADCC. Immunohistochemistry was performed on full tissue sections of all tumors (except for CD94/NKG2 and NKp46 performed on 19 cases due to exhaustion of some paraffin blocks). Slides were stained with the following primary antibodies: CD16 (clone 2H7, 1:100, Leica), NKp46 (clone 195314, 1:100, R&D Systems), CD8 (clone C8/144B, 1:50, Dako), CD163 (clone 10D6, 1:100, Leica) HLA-E (clone MEM-E/02, dilution 1:200, Serotec), β2m (clone SC11.1, 1:200, gift of J Gachet U1232, Nantes), and CD94/NKG2 (clone B-D49, 1:20, Diaclone). The immunological reactions were visualized with the Envision detection system (DakoCytomation) and 3,3-diaminobenzidine tetrahydrochloride as the chromogen. The slides were counterstained with Mayer's hematoxylin. The percentage of intraepithelial immune cells expressing CD8,
their metastatic disease (Irinotecan n=18; FOLFIRI regimen (irinotecan + folinic acid + 5 fluorouracil combination) n=10; FOLFOX regimen (oxaliplatin + folinic acid + 5 fluorouracil combination), n=6; Camptomycine n=2, Afatinib n=1), except two patients who received Cetuximab alone. Distant metastases were defined as synchronous or metachronous according to their identification, at the time of the primary tumor diagnosis or more than 12 months after, respectively (13).

For each patient, formalin-fixed and paraffin-embedded tissues representative of the primary tumor (37 surgical resections and 2 biopsies) and matched metastasis (26 surgical resections and 13 biopsies) were selected. Tissue samples were collected from the archives of the Department of Pathology or of each participating center, and were processed according to the guidelines of our institution and of the French Ethics Committee for Research on human tissues. The institutional board of the University Hospital of Nantes approved this study. Our tissue biocollection has been registered with the French Ministry for Higher Education and Research (DC-2014-2206) with approval from the ethic committee (CPP Ouest IV-Nantes). Our study was conducted in accordance with the Helsinki Declaration.

For the flow cytometry analysis, as no viable fresh tissues samples were available for our retrospective cohort of 39 patients, we included prospectively four successive patients who benefited from a colectomy for a CRC at the University Hospital of Nantes, and who did not receive any neoadjuvant chemotherapy or radiotherapy. A fresh tissue sample of the primary tumor was immediately dissected for flow cytometry analyses. Each patient included signed an informed consent form.

## Clinical Evaluation and Response Criteria

Tumor response was assessed 12 weeks after starting chemotherapy by computed tomography (CT-Scan) according to the Response Evaluation Criteria in Solid Tumors (RECIST) criteria and classified as partial response (PR), stable disease (SD) or progression disease (PD). Patients with SD or PD were defined as non-responders (14). Overall survival (OS) was measured from the date of first diagnosis (tumor resection or biopsy) to the date of death related to CRC or to the latest follow-up, and censured at five years.

## Tumor Sample Dissociation

In order to precisely define the nature of FcγRIIIA⁺ (CD16) immune cells in the tumor microenvironment of CRC, we assessed by flow cytometry the phenotype of FcγRIIIA⁺ (CD16) cells from cell suspensions derived from four fresh primary tumors of CRC patients included prospectively. Fresh dissected tumor samples were treated as described previously (15). Briefly, the tissue fragments were cut into small pieces (1–2 mm²) at room temperature in RPMI 1640 medium (Life Technologies), and then transferred into a GentleMACS C tube (MiltenyiBiotec) for two rounds of non-enzymatic mechanical dissociation with a GentleMacsOctoDissociator (Program A.01, MiltenyiBiotec). The resulting cell suspension was filtered through a 40-µm cell strainer (Dutscher), and then

centrifuged for 15 min at 600g at room temperature, and finally resuspended in RPMI 1640 before the *ex-vivo* flow cytometry analyses.

## Flow Cytometry Analyses

Immediately after fresh tumor samples dissociation, 2 × 10⁵ cells were incubated in 100 µl of brilliant stain buffer (BD Biosciences) with one of the three following combinations of antibodies at saturating concentrations at 4°C for 30 min. To identify FcγRIIIA⁺ (CD16) expressing cells in the lymphoid and myeloid tumor-infiltrating cells, the CD16-Phycoerythrin (PE) mAb (clone 3G8, BD Pharmingen) was used in association with three different combinations of antibodies: 1) CD3-Brillant Violet (BV) 421 (clone UCHT1, BD Pharmingen), TCR αβ-BV510 (clone T10B9.1A-31, BD Pharmingen), TCR γδ-Allophycocyanin (APC) (clone B1, BD Pharmingen), CD8α-BV650 (clone RPA-T8, BD Pharmingen), CD4-BV786 (clone L200, BD Biosciences); 2) CD3-BV421 (clone UCHT1, BD Pharmingen), CD56-APC (clone B159, BD Pharmingen), TCRα24-BV711 (clone 6B11, BD Biosciences); and 3) CD15-APC (clone HI98/HIM1, BD Pharmingen), CD11β-BV510 (clone ICRF44/44, BD Pharmingen), CD14-PE-Cyanin 7 (clone M5E2, BD Biosciences). Dead cells were identified with the viability marker Zombie NIR (BioLegend). Following incubation, cells were washed twice in PBS with 0.1% BSA medium and finally suspended in 200 µl of PBS. Stained cells were analyzed by flow cytometry using a LSRII flow cytometer and BD Diva software (BD Biosciences). The compensation adjustments were made using the anti-mouse Ig, k/negative control compensation particle set (BD Biosciences). Flow cytometry gating strategy is depicted in **Figure 1A**. FcγRIIIA⁺ (CD16) immune cells were gated in lymphoid (G1) and myeloid (G2) living cells among the lymphoid cells, NK cells and T cells were identified by their CD3⁻CD56⁺ or CD3⁺TCR αβ/TCR γδ expression profile, respectively. Among the myeloid cells, granulocytes and monocytes/macrophages were identified by their CD15⁺CD11b⁺CD14⁻ or CD15⁻CD11b⁺CD14⁺/⁻ phenotype.

## Immunohistochemical Analyses

We analyzed by immunohistochemistry, both in primary tumors and paired metastasis for each patient, the density of intraepithelial FcγRIIIA⁺ (CD16) immune cells, as immune cells in close contact with tumor cells can be considered as the most efficient effector cells to kill tumor cells via ADCC. Immunohistochemistry was performed on full tissue sections of all tumors (except for CD94/NKG2 and NKp46 performed on 19 cases due to exhaustion of some paraffin blocks). Slides were stained with the following primary antibodies: CD16 (clone 2H7, 1:100, Leica), NKp46 (clone 195314, 1:100, R&D Systems), CD8 (clone C8/144B, 1:50, Dako), CD163 (clone 10D6, 1:100, Leica) HLA-E (clone MEM-E/02, dilution 1:200, Serotec), β2m (clone SC11.1, 1:200, gift of J Gachet U1232, Nantes), and CD94/NKG2 (clone B-D49, 1:20, Diaclone). The immunological reactions were visualized with the Envision detection system (DakoCytomation) and 3,3-diaminobenzidine tetrahydrochloride as the chromogen. The slides were counterstained with Mayer's hematoxylin. The percentage of intraepithelial immune cells expressing CD8,
A

<figure><img src="image_2.png" /></figure>

B

<figure><img src="image_3.png" /></figure>

**FIGURE 1** | FcγRIIIA (CD16) expression on tumor-infiltrating immune cells. Flow cytometry gating strategy of FcγRIIIA (CD16) expression on a representative primary tumor sample from a CRC patient (A). FcγRIIIA (CD16) positive cells are gated among the living lymphoid (G1) and myeloid (G2) cells and different immune sub-populations are highlighted according to their phenotype: T cells (CD3⁺TCRαβ⁺ or γδ⁺), NK cells (CD3⁻CD56⁺), monocytes/macrophages (CD15⁻CD11b⁺CD14⁻/low) and granulocytes (CD15⁺CD11b⁺CD14⁻). Frequency of FcγRIIIA (CD16) positive infiltrating immune sub-populations among total FcγRIIIA⁺ (CD16) positive living cells from the 4 non metastatic CRC patients included prospectively. The bar charts represent mean +/- standard deviation (B).

FcγRIIIA (CD16), CD94/NKG2 or NKp46, was assessed by counting the number of labeled cells per 100 tumor cells on three fields at a magnification of 400.

The level of HLA-E expression, assessed by staining intensity, was compared with the paired normal colonic mucosa, as previously described (10). Furthermore, since a heterogeneous expression of HLA-E by tumor cells in whole tissue sections was observed, the percentage of strongly positive HLA-E tumor cells was also taken into account. Accordingly, HLA-E overexpression by tumor cells was defined as more than 5% of tumor cells showing a strong staining compared with that of the normal colonic mucosa.

## Statistics

Clinical and pathological data, as well as the percentages of CD8⁺, FcγRIIIA⁺ (CD16), NKp46⁺ or CD94⁺, and HLA-E/β2m overexpression by tumor cells, were entered into a database. Mann-Whitney test was used to test the relationship between the density of the different intraepithelial immune cells (CD8, NKp46, FcγRIIIA (CD16), CD94) and the tissue localization (normal colonic mucosa, primary tumor and metastases). Associations between the different immunological markers (CD8, FcγRIIIA (CD16), CD94 and HLA-E/β2m) and the objective response to cetuximab at 3 months were tested by Fisher's test. Overall survivals were estimated using Kaplan-Meier method. The log-rank test and Cox regression analyses

were used to assess survival differences between groups. For all analyses, a p value<0.05 was considered significant.

## RESULTS

### Clinicopathological Features of Patients

The main clinicopathological features of the patients included in this study are summarized in Table 1.

### FcγRIIIA⁺ (CD16) Tumor-Infiltrating Immune Cells Mainly Correspond to Myeloid and Lymphoid Cells

In order to precise the exact nature of tumor-infiltrating immune cells that express FcγRIIIA (CD16), a flow cytometry analysis was performed on fresh tumor tissues from surgically resected primary tumors of CRC. For this purpose, 4 non metastatic patients (1 man, 3 women; aged from 67.5 to 79 years; 2 right colon, 2 left colon; 4 adenocarcinoma NOS (3 stages II and 1 stage III) who do not receive any neoadjuvant chemotherapy or radiotherapy were included prospectively.

The nature and the absolute frequency of different FcγRIIIA⁺ (CD16) tumor-infiltrating cell types are summarized in Table 2 and are illustrated in Figure 1A. The density of FcγRIIIA⁺ (CD16) cells in tumors, except 1 case, is quite homogeneous representing an average of 4% among all viable cells (immune and
<figure><img src="image_3.png" /></figure>

**FIGURE 1** | FcγRIIIA (CD16) expression on tumor-infiltrating immune cells. Flow cytometry gating strategy of FcγRIIIA (CD16) expression on a representative primary tumor sample from a CRC patient (A). FcγRIIIA (CD16) positive cells are gated among the living lymphoid (G1) and myeloid (G2) cells and different immune sub-populations are highlighted according to their phenotype: T cells (CD3⁺TCRαβ⁺ or γδ⁺), NK cells (CD3⁻CD56⁺), monocytes/macrophages (CD15⁻CD11b⁺CD14⁻/low) and granulocytes (CD15⁺CD11b⁺CD14⁻). Frequency of FcγRIIIA (CD16) positive infiltrating immune sub-populations among total FcγRIIIA⁺ (CD16) positive living cells from the 4 non metastatic CRC patients included prospectively. The bar charts represent mean +/- standard deviation (B).

FcγRIIIA (CD16), CD94/NKG2 or NKp46, was assessed by counting the number of labeled cells per 100 tumor cells on three fields at a magnification of 400.

The level of HLA-E expression, assessed by staining intensity, was compared with the paired normal colonic mucosa, as previously described (10). Furthermore, since a heterogeneous expression of HLA-E by tumor cells in whole tissue sections was observed, the percentage of strongly positive HLA-E tumor cells was also taken into account. Accordingly, HLA-E overexpression by tumor cells was defined as more than 5% of tumor cells showing a strong staining compared with that of the normal colonic mucosa.

## Statistics

Clinical and pathological data, as well as the percentages of CD8⁺, FcγRIIIA⁺ (CD16), NKp46⁺ or CD94⁺, and HLA-E/β2m overexpression by tumor cells, were entered into a database. Mann-Whitney test was used to test the relationship between the density of the different intraepithelial immune cells (CD8, NKp46, FcγRIIIA (CD16), CD94) and the tissue localization (normal colonic mucosa, primary tumor and metastases). Associations between the different immunological markers (CD8, FcγRIIIA (CD16), CD94 and HLA-E/β2m) and the objective response to cetuximab at 3 months were tested by Fisher's test. Overall survivals were estimated using Kaplan-Meier method. The log-rank test and Cox regression analyses

were used to assess survival differences between groups. For all analyses, a p value<0.05 was considered significant.

## RESULTS

### Clinicopathological Features of Patients

The main clinicopathological features of the patients included in this study are summarized in Table 1.

### FcγRIIIA⁺ (CD16) Tumor-Infiltrating Immune Cells Mainly Correspond to Myeloid and Lymphoid Cells

In order to precise the exact nature of tumor-infiltrating immune cells that express FcγRIIIA (CD16), a flow cytometry analysis was performed on fresh tumor tissues from surgically resected primary tumors of CRC. For this purpose, 4 non metastatic patients (1 man, 3 women; aged from 67.5 to 79 years; 2 right colon, 2 left colon; 4 adenocarcinoma NOS (3 stages II and 1 stage III) who do not receive any neoadjuvant chemotherapy or radiotherapy were included prospectively.

The nature and the absolute frequency of different FcγRIIIA⁺ (CD16) tumor-infiltrating cell types are summarized in Table 2 and are illustrated in Figure 1A. The density of FcγRIIIA⁺ (CD16) cells in tumors, except 1 case, is quite homogeneous representing an average of 4% among all viable cells (immune and
<table><caption>**TABLE 1** | Clinicopathological features of mCRC patients treated with cetuximab in combination with chemotherapy.</caption><thead><tr><th>Characteristics</th><th>Patients (n=39)</th></tr></thead><tbody><tr><td><strong>Sex</strong></td><td></td></tr><tr><td>Men</td><td>26 (67%)</td></tr><tr><td>Women</td><td>13 (33%)</td></tr><tr><td><strong>Age</strong></td><td></td></tr><tr><td>Mean (range)</td><td>61,5 (44,6 - 78,1)</td></tr><tr><td><strong>Site of primary tumor</strong></td><td></td></tr><tr><td>Right colon</td><td>8 (20%)</td></tr><tr><td>Left colon</td><td>23 (59%)</td></tr><tr><td>Transverse colon</td><td>4 (10%)</td></tr><tr><td>Rectum</td><td>3 (8%)</td></tr><tr><td>Colonic neobladder</td><td>1 (3%)</td></tr><tr><td><strong>Histological type</strong></td><td></td></tr><tr><td>Adenocarcinoma, not otherwise specified</td><td>33 (85%)</td></tr><tr><td>Mucinous adenocarcinoma</td><td>6 (15%)</td></tr><tr><td><strong>pTNM stage</strong></td><td></td></tr><tr><td>pT1</td><td>1 (3%)</td></tr><tr><td>pT2</td><td>0 (0%)</td></tr><tr><td>pT3</td><td>19 (49%)</td></tr><tr><td>pT4</td><td>19 (49%)</td></tr><tr><td>pNx</td><td>4 (10%)</td></tr><tr><td>pN0</td><td>4 (10%)</td></tr><tr><td>pN1</td><td>17 (44%)</td></tr><tr><td>pN2</td><td>14 (36%)</td></tr><tr><td><strong>Metastatic lesions</strong></td><td></td></tr><tr><td>Synchronous</td><td>29 (74%)</td></tr><tr><td>Metachronous</td><td>10 (26%)</td></tr><tr><td><strong>Metastatic site</strong></td><td></td></tr><tr><td>Liver</td><td>27 (69%)</td></tr><tr><td>Peritoneum</td><td>9 (23%)</td></tr><tr><td>Lung</td><td>3 (8%)</td></tr><tr><td><strong>Therapy in combination with cetuximab</strong></td><td></td></tr><tr><td>FOLFOX regimen</td><td>6 (15%)</td></tr><tr><td>FOLFIRI regimen</td><td>10 (26%)</td></tr><tr><td>Irinotecan</td><td>18 (46%)</td></tr><tr><td>Camptomycine</td><td>2 (5%)</td></tr><tr><td>Afatinib</td><td>1 (3%)</td></tr><tr><td><strong>Best tumor response at 3 months</strong></td><td></td></tr><tr><td>Partial response</td><td>15 (38%)</td></tr><tr><td>Stable disease</td><td>13 (34%)</td></tr><tr><td>Progression disease</td><td>11 (28%)</td></tr></tbody></table>

<table><caption>**TABLE 2** | Nature and percentages of FcγRIIIA⁺ (CD16) tumor-infiltrating cells among all viable cells (immune and tumor cells).</caption><thead><tr><th rowspan="2">FcγRIIIA⁺ (CD16)<br>sub-populations</th><th rowspan="2">Phenotype</th><th colspan="4">CRC patients</th></tr><tr><th>86C</th><th>88C</th><th>90C</th><th>92C</th></tr></thead><tbody><tr><td>Total</td><td>-</td><td>3.93</td><td>4.94</td><td>3.99</td><td>51.19</td></tr><tr><td>NK cells</td><td>CD3<sup>-</sup>CD56<sup>+</sup></td><td>0.58</td><td>0.27</td><td>0.26</td><td>1.63</td></tr><tr><td rowspan="2">T lymphocytes</td><td>αβ</td><td>0.47</td><td>0.40</td><td>0.05</td><td>0.80</td></tr><tr><td>γδ</td><td>0.18</td><td>0.05</td><td>0.01</td><td>0.03</td></tr><tr><td>Monocytes/Macrophages</td><td>CD15<sup>-</sup>CD11b<sup>+</sup>CD14<sup>+/-</sup></td><td>1.47</td><td>0.23</td><td>0.78</td><td>19.16</td></tr><tr><td>Granulocytes</td><td>CD15<sup>-</sup>CD11b<sup>+</sup>CD14<sup>-</sup></td><td>0.46</td><td>3.57</td><td>2.58</td><td>21.90</td></tr><tr><td>Others</td><td>-</td><td>0.77</td><td>0.42</td><td>0.31</td><td>7.66</td></tr></tbody></table>

tumor cells). The case harboring a particularly rich population of FcγRIIIA⁺ (CD16) cells (92C—51%) corresponded to a very inflamed tumor with neutrophilic microabcess. In any case, those cells mainly corresponded to myeloid cells, i.e., granulocytes and macrophages (Figure 1B). Indeed, about 48%

and 25% of FcγRIIIA⁺ (CD16) immune cells featured a granulocyte-like (CD15⁺CD11b⁺CD14⁻) or a monocyte/macrophage-like phenotype (CD15⁻CD11b⁺CD14⁺/⁻), respectively. Furthermore, we also identified FcγRIIIA⁺ (CD16) lymphoid cells representing NK cells (3.2%–14.8%, mean 7.5%) and T lymphocytes (1.5%–16.5%, mean 7.2%), mainly corresponding to CD8⁺αβ T cells. We did not observe any invariant NKT cells (CD3⁺TCRαβ⁺TCRα24⁺) (data not shown).

## The Density of FcγRIIIA⁺ (CD16) Intraepithelial ADCC Effector Cells (Tumor-Associated Neutrophils and Cytotoxic T Lymphocytes) Is Higher in Tumors Than in the Normal Colonic Mucosa

The flow cytometry results were confirmed by immunohistochemistry, as we also identified the different FcγRIIIA⁺ (CD16) immune cell subtypes in the stroma (CD163⁺ tumor-associated macrophages (TAM), and tumor-associated neutrophils (TAN) as well as TILs identified morphologically) or in the epithelial compartment (TAN and some TIL but no CD163⁺ TAM). As immune cells in close contact with tumor cells can be considered as the most efficient effector cells to kill tumor cells via ADCC, we focused on the density of intraepithelial FcγRIIIA⁺ (CD16) immune cells, identified by flow cytometry, i.e., cytotoxic CD8⁺ T cells, NK cells and granulocytes (corresponding morphologically to TAN). As we identified morphologically 2 subpopulations of FcγRIIIA⁺ (CD16) intraepithelial immune cells, i.e., small mononuclear cells corresponding to T lymphocytes or NK cells, and granulocytes, we performed in parallel CD8 and NKp46 immunostainings. NKp46⁺ cells were very rare in tumors (around 0.03%) and mostly observed in the stroma. Thus, the majority of FcγRIIIA⁺ (CD16) mononuclear intraepithelial cells corresponded to a fraction of CD8⁺ lymphocytes rather than NK cells.

The mean percentages of intraepithelial CD8⁺ and FcγRIIIA⁺ (CD16) cells are summarized in Table 3 and illustrated in Figure 2. The density of FcγRIIIA⁺ (CD16) intraepithelial effector cells was significantly higher in tumors (primary tumors or metastasis) compared with paired normal colonic mucosa (p = 0.0001). It should be noted that the percentage of each cell type, CD8⁺ or FcγRIIIA⁺ (CD16), was quite similar in the primary and paired metastatic tumors, and intraepithelial FcγRIIIA⁺ (CD16) cells were mostly neutrophils, and to a much lower degree, lymphocytes.

## The Density of FcγRIIIA⁺ (CD16) Intraepithelial TAN in Metastases Predicts a Better Objective Response to Cetuximab, Whereas Their High Density in Primary Tumors Is Associated With a Better Overall Survival

At 3 months, 15 of the 39 patients (38%) showed a partial response to cetuximab, and 24/39 (62%) were non responders, i.e., with a stable or progressive disease (13/24, 34% and 11/24, 28%, respectively) according to the RECIST criteria. Among the
<table><caption>**TABLE 1** | Clinicopathological features of mCRC patients treated with cetuximab in combination with chemotherapy.</caption><thead><tr><th>Characteristics</th><th>Patients (n=39)</th></tr></thead><tbody><tr><td><strong>Sex</strong></td><td></td></tr><tr><td>Men</td><td>26 (67%)</td></tr><tr><td>Women</td><td>13 (33%)</td></tr><tr><td><strong>Age</strong></td><td></td></tr><tr><td>Mean (range)</td><td>61,5 (44,6 - 78,1)</td></tr><tr><td><strong>Site of primary tumor</strong></td><td></td></tr><tr><td>Right colon</td><td>8 (20%)</td></tr><tr><td>Left colon</td><td>23 (59%)</td></tr><tr><td>Transverse colon</td><td>4 (10%)</td></tr><tr><td>Rectum</td><td>3 (8%)</td></tr><tr><td>Colonic neobladder</td><td>1 (3%)</td></tr><tr><td><strong>Histological type</strong></td><td></td></tr><tr><td>Adenocarcinoma, not otherwise specified</td><td>33 (85%)</td></tr><tr><td>Mucinous adenocarcinoma</td><td>6 (15%)</td></tr><tr><td><strong>pTNM stage</strong></td><td></td></tr><tr><td>pT1</td><td>1 (3%)</td></tr><tr><td>pT2</td><td>0 (0%)</td></tr><tr><td>pT3</td><td>19 (49%)</td></tr><tr><td>pT4</td><td>19 (49%)</td></tr><tr><td>pNx</td><td>4 (10%)</td></tr><tr><td>pN0</td><td>4 (10%)</td></tr><tr><td>pN1</td><td>17 (44%)</td></tr><tr><td>pN2</td><td>14 (36%)</td></tr><tr><td><strong>Metastatic lesions</strong></td><td></td></tr><tr><td>Synchronous</td><td>29 (74%)</td></tr><tr><td>Metachronous</td><td>10 (26%)</td></tr><tr><td><strong>Metastatic site</strong></td><td></td></tr><tr><td>Liver</td><td>27 (69%)</td></tr><tr><td>Peritoneum</td><td>9 (23%)</td></tr><tr><td>Lung</td><td>3 (8%)</td></tr><tr><td><strong>Therapy in combination with cetuximab</strong></td><td></td></tr><tr><td>FOLFOX regimen</td><td>6 (15%)</td></tr><tr><td>FOLFIRI regimen</td><td>10 (26%)</td></tr><tr><td>Irinotecan</td><td>18 (46%)</td></tr><tr><td>Camptomycine</td><td>2 (5%)</td></tr><tr><td>Afatinib</td><td>1 (3%)</td></tr><tr><td><strong>Best tumor response at 3 months</strong></td><td></td></tr><tr><td>Partial response</td><td>15 (38%)</td></tr><tr><td>Stable disease</td><td>13 (34%)</td></tr><tr><td>Progression disease</td><td>11 (28%)</td></tr></tbody></table>

<table><caption>**TABLE 2** | Nature and percentages of FcγRIIIA⁺ (CD16) tumor-infiltrating cells among all viable cells (immune and tumor cells).</caption><thead><tr><th rowspan="2">FcγRIIIA⁺ (CD16)<br>sub-populations</th><th rowspan="2">Phenotype</th><th colspan="4">CRC patients</th></tr><tr><th>86C</th><th>88C</th><th>90C</th><th>92C</th></tr></thead><tbody><tr><td>Total</td><td>-</td><td>3.93</td><td>4.94</td><td>3.99</td><td>51.19</td></tr><tr><td>NK cells</td><td>CD3<sup>-</sup>CD56<sup>+</sup></td><td>0.58</td><td>0.27</td><td>0.26</td><td>1.63</td></tr><tr><td rowspan="2">T lymphocytes</td><td>αβ</td><td>0.47</td><td>0.40</td><td>0.05</td><td>0.80</td></tr><tr><td>γδ</td><td>0.18</td><td>0.05</td><td>0.01</td><td>0.03</td></tr><tr><td>Monocytes/Macrophages</td><td>CD15<sup>-</sup>CD11b<sup>+</sup>CD14<sup>+/-</sup></td><td>1.47</td><td>0.23</td><td>0.78</td><td>19.16</td></tr><tr><td>Granulocytes</td><td>CD15<sup>-</sup>CD11b<sup>+</sup>CD14<sup>-</sup></td><td>0.46</td><td>3.57</td><td>2.58</td><td>21.90</td></tr><tr><td>Others</td><td>-</td><td>0.77</td><td>0.42</td><td>0.31</td><td>7.66</td></tr></tbody></table>

tumor cells). The case harboring a particularly rich population of FcγRIIIA⁺ (CD16) cells (92C—51%) corresponded to a very inflamed tumor with neutrophilic microabcess. In any case, those cells mainly corresponded to myeloid cells, i.e., granulocytes and macrophages (Figure 1B). Indeed, about 48%

and 25% of FcγRIIIA⁺ (CD16) immune cells featured a granulocyte-like (CD15⁺CD11b⁺CD14⁻) or a monocyte/macrophage-like phenotype (CD15⁻CD11b⁺CD14⁺/⁻), respectively. Furthermore, we also identified FcγRIIIA⁺ (CD16) lymphoid cells representing NK cells (3.2%–14.8%, mean 7.5%) and T lymphocytes (1.5%–16.5%, mean 7.2%), mainly corresponding to CD8⁺αβ T cells. We did not observe any invariant NKT cells (CD3⁺TCRαβ⁺TCRα24⁺) (data not shown).

## The Density of FcγRIIIA⁺ (CD16) Intraepithelial ADCC Effector Cells (Tumor-Associated Neutrophils and Cytotoxic T Lymphocytes) Is Higher in Tumors Than in the Normal Colonic Mucosa

The flow cytometry results were confirmed by immunohistochemistry, as we also identified the different FcγRIIIA⁺ (CD16) immune cell subtypes in the stroma (CD163⁺ tumor-associated macrophages (TAM), and tumor-associated neutrophils (TAN) as well as TILs identified morphologically) or in the epithelial compartment (TAN and some TIL but no CD163⁺ TAM). As immune cells in close contact with tumor cells can be considered as the most efficient effector cells to kill tumor cells via ADCC, we focused on the density of intraepithelial FcγRIIIA⁺ (CD16) immune cells, identified by flow cytometry, i.e., cytotoxic CD8⁺ T cells, NK cells and granulocytes (corresponding morphologically to TAN). As we identified morphologically 2 subpopulations of FcγRIIIA⁺ (CD16) intraepithelial immune cells, i.e., small mononuclear cells corresponding to T lymphocytes or NK cells, and granulocytes, we performed in parallel CD8 and NKp46 immunostainings. NKp46⁺ cells were very rare in tumors (around 0.03%) and mostly observed in the stroma. Thus, the majority of FcγRIIIA⁺ (CD16) mononuclear intraepithelial cells corresponded to a fraction of CD8⁺ lymphocytes rather than NK cells.

The mean percentages of intraepithelial CD8⁺ and FcγRIIIA⁺ (CD16) cells are summarized in Table 3 and illustrated in Figure 2. The density of FcγRIIIA⁺ (CD16) intraepithelial effector cells was significantly higher in tumors (primary tumors or metastasis) compared with paired normal colonic mucosa (p = 0.0001). It should be noted that the percentage of each cell type, CD8⁺ or FcγRIIIA⁺ (CD16), was quite similar in the primary and paired metastatic tumors, and intraepithelial FcγRIIIA⁺ (CD16) cells were mostly neutrophils, and to a much lower degree, lymphocytes.

## The Density of FcγRIIIA⁺ (CD16) Intraepithelial TAN in Metastases Predicts a Better Objective Response to Cetuximab, Whereas Their High Density in Primary Tumors Is Associated With a Better Overall Survival

At 3 months, 15 of the 39 patients (38%) showed a partial response to cetuximab, and 24/39 (62%) were non responders, i.e., with a stable or progressive disease (13/24, 34% and 11/24, 28%, respectively) according to the RECIST criteria. Among the
<table><caption>**TABLE 3** | Mean percentages of CD8⁺ and FcγRIIIA⁺ (CD16) intra-epithelial (IE) cells in normal colonic mucosa, primary tumors and metastases (Mann Whitney test).</caption><thead><tr><th></th><th>Normal colonic mucosa (n=11)</th><th>Primary tumor (n=39)</th><th>Metastases (n=39)</th><th>p value*</th><th>P value**</th></tr></thead><tbody><tr><td><strong>CD8⁺ IE lymphocytes</strong></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Mean ± SD</td><td>1.66 ± 0.64</td><td>2.12 ± 2.51</td><td>1.96 ± 2.99</td><td>0.36</td><td>0.39</td></tr><tr><td>Min - max</td><td>0.82 - 2.85</td><td>0.16 - 12.91</td><td>0 - 14.9</td><td></td><td></td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE lymphocytes/NK cells</strong></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Mean ± SD</td><td>0.01 ± 0.03</td><td>0.44 ± 0.46</td><td>0.62 ± 0.59</td><td>0.0001</td><td>0.15</td></tr><tr><td>Min - max</td><td>0 - 0.1</td><td>0 - 2.01</td><td>0 - 2.45</td><td></td><td></td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE neutrophils</strong></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Mean ± SD</td><td>0.01 ± 0.03</td><td>0.75 ± 0.7</td><td>0.99 ± 1.63</td><td>0.0001</td><td>0.99</td></tr><tr><td>Min - max</td><td>0 - 0.1</td><td>0 - 2.95</td><td>0 - 9.85</td><td></td><td></td></tr></tbody></table>

<figure><img src="image_4.png" /><figcaption>**FIGURE 2** | Potential intraepithelial ADCC effector immune cells in colorectal tumors assess by immunohistochemistry. Intraepithelial FcγRIIIA⁺ (CD16) lymphocytes (A) or neutrophils (B). CD8⁺ lymphocytes in close contact with tumor cells (C). Scarce Nkp46⁺Nk cells, only observed in the stroma (D). CD163⁺ macrophages only found in the stroma (E).</figcaption></figure>

<footnote>*p value between normal and tumor tissues (primary or metastase).</footnote>

<footnote>**p value between primary and metastatic tumors.</footnote>
<table><caption>**TABLE 3** | Mean percentages of CD8⁺ and FcγRIIIA⁺ (CD16) intra-epithelial (IE) cells in normal colonic mucosa, primary tumors and metastases (Mann Whitney test).</caption><thead><tr><th></th><th>Normal colonic mucosa (n=11)</th><th>Primary tumor (n=39)</th><th>Metastases (n=39)</th><th>p value*</th><th>P value**</th></tr></thead><tbody><tr><td><strong>CD8⁺ IE lymphocytes</strong></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Mean ± SD</td><td>1.66 ± 0.64</td><td>2.12 ± 2.51</td><td>1.96 ± 2.99</td><td>0.36</td><td>0.39</td></tr><tr><td>Min - max</td><td>0.82 - 2.85</td><td>0.16 - 12.91</td><td>0 - 14.9</td><td></td><td></td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE lymphocytes/NK cells</strong></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Mean ± SD</td><td>0.01 ± 0.03</td><td>0.44 ± 0.46</td><td>0.62 ± 0.59</td><td>0.0001</td><td>0.15</td></tr><tr><td>Min - max</td><td>0 - 0.1</td><td>0 - 2.01</td><td>0 - 2.45</td><td></td><td></td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE neutrophils</strong></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>Mean ± SD</td><td>0.01 ± 0.03</td><td>0.75 ± 0.7</td><td>0.99 ± 1.63</td><td>0.0001</td><td>0.99</td></tr><tr><td>Min - max</td><td>0 - 0.1</td><td>0 - 2.95</td><td>0 - 9.85</td><td></td><td></td></tr></tbody></table>

<figure><img src="image_4.png" /><figcaption>**FIGURE 2** | Potential intraepithelial ADCC effector immune cells in colorectal tumors assess by immunohistochemistry. Intraepithelial FcγRIIIA⁺ (CD16) lymphocytes (A) or neutrophils (B). CD8⁺ lymphocytes in close contact with tumor cells (C). Scarce Nkp46⁺Nk cells, only observed in the stroma (D). CD163⁺ macrophages only found in the stroma (E).</figcaption></figure>

<footnote>*p value between normal and tumor tissues (primary or metastase).</footnote>

<footnote>**p value between primary and metastatic tumors.</footnote>
<table><caption>**TABLE 4** | Relation between the density of FcγRIIIA⁺ (CD16) immune cells involved in ADCC within tumor sites and objective response to cetuximab (p Fisher's exact test).</caption><thead><tr><th></th><th>PR n = 15<br>(38%)</th><th>SD or PD n = 24<br>(62%)</th><th>Total n = 39</th><th>p<br>value</th></tr></thead><tbody><tr><td colspan="5"><strong>METASTASTIC TUMORS</strong></td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE<br>neutrophils*</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;0.54%</td><td>4 (26.7%)</td><td>15 (62.5%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥0.54</td><td>11 (73.3%)</td><td>9 (37.5%)</td><td>20 (51.3%)</td><td>0.0294</td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE<br>lymphocytes*</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;0.50%</td><td>7 (46.7%)</td><td>12 (50%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥0.50%</td><td>8 (53.3%)</td><td>12 (50%)</td><td>20 (51.3%)</td><td>0.839</td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE<br>cells* (total)</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;1.36%</td><td>5 (33.3%)</td><td>14 (58.3%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥1.36%</td><td>10 (66.7%)</td><td>10 (41.7%)</td><td>20 (51.3%)</td><td>0.128</td></tr><tr><td colspan="5"><strong>PRIMARY TUMORS</strong></td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE<br>neutrophils*</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;0.60%</td><td>8 (53.3%)</td><td>11 (45.8%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥0.60%</td><td>7 (46.7%)</td><td>13 (54.2%)</td><td>20 (51.3%)</td><td>0.6484</td></tr><tr><td><strong>FcγRIIIA⁺ (CD16)<br>lymphocytes*</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;0.38%</td><td>9 (60%)</td><td>10 (41.7%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥0.38%</td><td>6 (40%)</td><td>14 (58.3%)</td><td>20 (51.3%)</td><td>0.265</td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE<br>cells*(total)</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;1.07%</td><td>8 (53.3%)</td><td>11 (45.8%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥1.07%</td><td>7 (46.7%)</td><td>13 (54.2%)</td><td>20 (51.3%)</td><td>0.648</td></tr></tbody></table>

<figure><img src="image_5.png" /><figcaption>**FIGURE 3** | The density of FcγRIIIA⁺ (CD16) intraepithelial TAN in metastasis is associated with a better overall survival in mCRC patients treated with cetuximab. Kaplan-Meier curves depict overall survival of patients with a mCRC featuring a low (solid curve) or a high (broken curve) density of FcγRIIIA⁺ (CD16) intraepithelial TAN (second quartile).</figcaption></figure>

15 patients who exhibited a partial response, five benefited from surgical resection of their metastases. The impact of the different intraepithelial FcγRIIIA⁺ (CD16) immune cells on the therapeutic response to cetuximab is summarized in **Table 4**. The density of intraepithelial FcγRIIIA⁺ (CD16) lymphocytes in primary tumors did not influence the clinical response to cetuximab in primary or in metastatic tumors. However, the density of intraepithelial FcγRIIIA⁺ (CD16) TAN (≥ 0.54%, 2nd quartile) in metastases was significantly associated with a better response to cetuximab.

Furthermore, a high density of FcγRIIIA⁺ (CD16) intraepithelial TAN in primary tumors (>0.6%, 2nd quartile) was associated with a better OS (median not reached vs 44.03 months; log rank test = 0.0168) (Figure 3).

## The Objective Response to Cetuximab Is Not Influenced by HLA-E/β2m Overexpression by Tumor Cells or Density of CD94⁺ Intraepithelial Lymphocytes

We have previously demonstrated that about 20% of CRC aberrantly overexpressed HLA-E/β2m by tumor cells (10). This ligand is well known to interact with the CD94/NKG2A inhibitory receptor, mainly expressed by NK cells and some CD8+ T lymphocytes. Indeed, in CRC, we have shown that this receptor is preferentially expressed by CD8⁺ TILs (10, 11). Furthermore, *in vitro* data based on CRC cell lines showed that aberrant cell surface expression of HLA-E/β2m by tumor cells inhibits the cetuximab-mediated cellular cytotoxicity by NK cells. This cetuximab-induced lysis was restored by blocking the CD94/NKG2A inhibitory receptor (8), a finding suggesting that this inhibitory immune checkpoint interferes with ADCC mediated, at least, by NK cells. Thus, we correlated herein the expression profile of these potential ADCC regulatory molecules in both primary tumors and paired metastases with the objective response to cetuximab. HLA-E/β2m was preferentially overexpressed in metastatic tumors (12/39, 30.8%) compared with primary tumors (8/39 cases, 20.5%). Noticeably, HLA-E/β2m overexpression profile by tumor cells was concordant between primary and paired metastatic tumors in the majority of cases (31/39, 79.5%) but discordant in 8 (20.5%) cases. Among these discordant cases, the majority (6/8 cases) featured an overexpression of HLA-E/β2m by tumor cells in metastasis only, while only 2 cases were characterized by HLA-E/β2m overexpression in primary tumor (Figures 4A–D). According to the expression profile of HLA-E/β2m, the therapeutic response at 3 months was not statistically different between the 2 groups of tumors HLA-E⁺ vs HLA-E⁻, regardless of the tumor site considered, primary or paired metastatic (Table 5).

Regarding the intraepithelial CD94⁺ immune cell density, analyzed in 19 cases, their mean percentage in primary tumors was 0.7% ± 0.5 (ranged from 0 to 1.8%) and 0.5% ± 0.5 (ranged from 0 to 1.84%) in metastases (Figures 4E, F). As for HLA-E expression profile, no significant relationship was observed between the density of CD94⁺ intraepithelial lymphocytes and the objective response to cetuximab at 3 months, regardless of the tumor site (primary or metastatic).

<footnote>*Second quartile (median); PR, partial response; SD, stable disease; PD, progression disease.</footnote>
<table><caption>**TABLE 4** | Relation between the density of FcγRIIIA⁺ (CD16) immune cells involved in ADCC within tumor sites and objective response to cetuximab (p Fisher's exact test).</caption><thead><tr><th></th><th>PR n = 15<br>(38%)</th><th>SD or PD n = 24<br>(62%)</th><th>Total n = 39</th><th>p<br>value</th></tr></thead><tbody><tr><td colspan="5"><strong>METASTASTIC TUMORS</strong></td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE<br>neutrophils*</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;0.54%</td><td>4 (26.7%)</td><td>15 (62.5%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥0.54</td><td>11 (73.3%)</td><td>9 (37.5%)</td><td>20 (51.3%)</td><td>0.0294</td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE<br>lymphocytes*</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;0.50%</td><td>7 (46.7%)</td><td>12 (50%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥0.50%</td><td>8 (53.3%)</td><td>12 (50%)</td><td>20 (51.3%)</td><td>0.839</td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE<br>cells* (total)</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;1.36%</td><td>5 (33.3%)</td><td>14 (58.3%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥1.36%</td><td>10 (66.7%)</td><td>10 (41.7%)</td><td>20 (51.3%)</td><td>0.128</td></tr><tr><td colspan="5"><strong>PRIMARY TUMORS</strong></td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE<br>neutrophils*</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;0.60%</td><td>8 (53.3%)</td><td>11 (45.8%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥0.60%</td><td>7 (46.7%)</td><td>13 (54.2%)</td><td>20 (51.3%)</td><td>0.6484</td></tr><tr><td><strong>FcγRIIIA⁺ (CD16)<br>lymphocytes*</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;0.38%</td><td>9 (60%)</td><td>10 (41.7%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥0.38%</td><td>6 (40%)</td><td>14 (58.3%)</td><td>20 (51.3%)</td><td>0.265</td></tr><tr><td><strong>FcγRIIIA⁺ (CD16) IE<br>cells*(total)</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>&lt;1.07%</td><td>8 (53.3%)</td><td>11 (45.8%)</td><td>19 (48.7%)</td><td></td></tr><tr><td>≥1.07%</td><td>7 (46.7%)</td><td>13 (54.2%)</td><td>20 (51.3%)</td><td>0.648</td></tr></tbody></table>

<figure><img src="image_5.png" /><figcaption>**FIGURE 3** | The density of FcγRIIIA⁺ (CD16) intraepithelial TAN in metastasis is associated with a better overall survival in mCRC patients treated with cetuximab. Kaplan-Meier curves depict overall survival of patients with a mCRC featuring a low (solid curve) or a high (broken curve) density of FcγRIIIA⁺ (CD16) intraepithelial TAN (second quartile).</figcaption></figure>

15 patients who exhibited a partial response, five benefited from surgical resection of their metastases. The impact of the different intraepithelial FcγRIIIA⁺ (CD16) immune cells on the therapeutic response to cetuximab is summarized in **Table 4**. The density of intraepithelial FcγRIIIA⁺ (CD16) lymphocytes in primary tumors did not influence the clinical response to cetuximab in primary or in metastatic tumors. However, the density of intraepithelial FcγRIIIA⁺ (CD16) TAN (≥ 0.54%, 2nd quartile) in metastases was significantly associated with a better response to cetuximab.

Furthermore, a high density of FcγRIIIA⁺ (CD16) intraepithelial TAN in primary tumors (>0.6%, 2nd quartile) was associated with a better OS (median not reached vs 44.03 months; log rank test = 0.0168) (Figure 3).

## The Objective Response to Cetuximab Is Not Influenced by HLA-E/β2m Overexpression by Tumor Cells or Density of CD94⁺ Intraepithelial Lymphocytes

We have previously demonstrated that about 20% of CRC aberrantly overexpressed HLA-E/β2m by tumor cells (10). This ligand is well known to interact with the CD94/NKG2A inhibitory receptor, mainly expressed by NK cells and some CD8+ T lymphocytes. Indeed, in CRC, we have shown that this receptor is preferentially expressed by CD8⁺ TILs (10, 11). Furthermore, *in vitro* data based on CRC cell lines showed that aberrant cell surface expression of HLA-E/β2m by tumor cells inhibits the cetuximab-mediated cellular cytotoxicity by NK cells. This cetuximab-induced lysis was restored by blocking the CD94/NKG2A inhibitory receptor (8), a finding suggesting that this inhibitory immune checkpoint interferes with ADCC mediated, at least, by NK cells. Thus, we correlated herein the expression profile of these potential ADCC regulatory molecules in both primary tumors and paired metastases with the objective response to cetuximab. HLA-E/β2m was preferentially overexpressed in metastatic tumors (12/39, 30.8%) compared with primary tumors (8/39 cases, 20.5%). Noticeably, HLA-E/β2m overexpression profile by tumor cells was concordant between primary and paired metastatic tumors in the majority of cases (31/39, 79.5%) but discordant in 8 (20.5%) cases. Among these discordant cases, the majority (6/8 cases) featured an overexpression of HLA-E/β2m by tumor cells in metastasis only, while only 2 cases were characterized by HLA-E/β2m overexpression in primary tumor (Figures 4A–D). According to the expression profile of HLA-E/β2m, the therapeutic response at 3 months was not statistically different between the 2 groups of tumors HLA-E⁺ vs HLA-E⁻, regardless of the tumor site considered, primary or paired metastatic (Table 5).

Regarding the intraepithelial CD94⁺ immune cell density, analyzed in 19 cases, their mean percentage in primary tumors was 0.7% ± 0.5 (ranged from 0 to 1.8%) and 0.5% ± 0.5 (ranged from 0 to 1.84%) in metastases (Figures 4E, F). As for HLA-E expression profile, no significant relationship was observed between the density of CD94⁺ intraepithelial lymphocytes and the objective response to cetuximab at 3 months, regardless of the tumor site (primary or metastatic).

<footnote>*Second quartile (median); PR, partial response; SD, stable disease; PD, progression disease.</footnote>
<figure><img src="image_6.png" /><figcaption>**FIGURE 4** | Expression profile of HLA-E in primary and metastatic tumors, and its association with intraepithelial CD94⁺ lymphocytes. Two representative cases of mCRC with distinct HLA-E overexpression profile. (A, B) A discordant profile of HLA-E/β2m overexpression between primary tumor (negative) and its matched metastasis (positive) and (C, D) a concordant case featuring HLA-E overexpression both in primary tumor and its paired metastasis. (E) CD94⁺ intraepithelial lymphocytes. (F) The density of CD94⁺ intraepithelial lymphocytes is quite similar between primary tumors and metastases (p = 0.1 Mann Whitney test).</figcaption></figure>

<table><caption>**TABLE 5** | Relation between HLA-E/β2m overexpression and objective response to cetuximab (p Fisher's exact test).</caption><thead><tr><th></th><th>PR n = 15<br>(38%)</th><th>SD or PD n = 24<br>(62%)</th><th>Total n = 39<br>(p value)</th></tr></thead><tbody><tr><td><strong>METASTATIC TUMORS</strong></td><td></td><td></td><td></td></tr><tr><td><strong>HLA-E/β2m</strong></td><td></td><td></td><td></td></tr><tr><td><strong>status</strong></td><td></td><td></td><td></td></tr><tr><td>HLA-E<sup>-</sup></td><td>10 (66.7%)</td><td>17 (70.8%)</td><td>27 (69.2%)</td></tr><tr><td>HLA-E<sup>+</sup></td><td>5 (33.3%)</td><td>7 (29.2%)</td><td>12 (30.8%)</td></tr><tr><td><strong>PRIMARY TUMORS</strong></td><td></td><td></td><td></td></tr><tr><td><strong>HLA-E/β2m</strong></td><td></td><td></td><td></td></tr><tr><td><strong>status</strong></td><td></td><td></td><td></td></tr><tr><td>HLA-E<sup>-</sup></td><td>12 (80%)</td><td>19 (79.2%)</td><td>31 (79.5%)</td></tr><tr><td>HLA-E<sup>+</sup></td><td>3 (20%)</td><td>5 (20.8%)</td><td>8 (20.5%)</td></tr></tbody></table>

However, as we previously demonstrated in a first cohort of 80 patients (10), we confirmed in this new independent cohort of metastatic CRC patients, that overexpression of HLA-E/β2m by tumor cells in primary tumors was significantly associated with a worse OS (median OS 35.97 months for HLA-E⁺ primary tumors vs 57.87 months for HLA-E⁻ primary tumors; log rank test = 0.0012) (Figure 5A). In the same way, a high density of CD94⁺ intraepithelial lymphocytes (>0.64%, 2nd quartile) was associated with a worse overall survival compared with primary tumors containing a low density of CD94⁺ intraepithelial TIL (median 39.7 months vs median not reached), although the difference was not statistically significant (log rank test, p 0.079) (Figure 5B). In multivariate analysis taking into account the density of FcγRIIIA⁺
<figure><img src="image_6.png" /><figcaption>**FIGURE 4** | Expression profile of HLA-E in primary and metastatic tumors, and its association with intraepithelial CD94⁺ lymphocytes. Two representative cases of mCRC with distinct HLA-E overexpression profile. (A, B) A discordant profile of HLA-E/β2m overexpression between primary tumor (negative) and its matched metastasis (positive) and (C, D) a concordant case featuring HLA-E overexpression both in primary tumor and its paired metastasis. (E) CD94⁺ intraepithelial lymphocytes. (F) The density of CD94⁺ intraepithelial lymphocytes is quite similar between primary tumors and metastases (p = 0.1 Mann Whitney test).</figcaption></figure>

<table><caption>**TABLE 5** | Relation between HLA-E/β2m overexpression and objective response to cetuximab (p Fisher's exact test).</caption><thead><tr><th></th><th>PR n = 15<br>(38%)</th><th>SD or PD n = 24<br>(62%)</th><th>Total n = 39</th><th>p<br>value</th></tr></thead><tbody><tr><td><strong>METASTATIC TUMORS</strong></td><td></td><td></td><td></td><td></td></tr><tr><td><strong>HLA-E/β2m</strong></td><td></td><td></td><td></td><td></td></tr><tr><td><strong>status</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>HLA-E<sup>-</sup></td><td>10 (66.7%)</td><td>17 (70.8%)</td><td>27 (69.2%)</td><td></td></tr><tr><td>HLA-E<sup>+</sup></td><td>5 (33.3%)</td><td>7 (29.2%)</td><td>12 (30.8%)</td><td>1.0</td></tr><tr><td><strong>PRIMARY TUMORS</strong></td><td></td><td></td><td></td><td></td></tr><tr><td><strong>HLA-E/β2m</strong></td><td></td><td></td><td></td><td></td></tr><tr><td><strong>status</strong></td><td></td><td></td><td></td><td></td></tr><tr><td>HLA-E<sup>-</sup></td><td>12 (80%)</td><td>19 (79.2%)</td><td>31 (79.5%)</td><td></td></tr><tr><td>HLA-E<sup>+</sup></td><td>3 (20%)</td><td>5 (20.8%)</td><td>8 (20.5%)</td><td>1.0</td></tr></tbody></table>

However, as we previously demonstrated in a first cohort of 80 patients (10), we confirmed in this new independent cohort of metastatic CRC patients, that overexpression of HLA-E/β2m by tumor cells in primary tumors was significantly associated with a worse OS (median OS 35.97 months for HLA-E⁺ primary tumors vs 57.87 months for HLA-E⁻ primary tumors; log rank test = 0.0012) (Figure 5A). In the same way, a high density of CD94⁺ intraepithelial lymphocytes (>0.64%, 2nd quartile) was associated with a worse overall survival compared with primary tumors containing a low density of CD94⁺ intraepithelial TIL (median 39.7 months vs median not reached), although the difference was not statistically significant (log rank test, p 0.079) (Figure 5B). In multivariate analysis taking into account the density of FcγRIIIA⁺
<figure><img src="image_7.png" /><figcaption>**FIGURE 5** | HLA-E/β2m overexpression by tumor cells and a high density of CD94⁺ intraepithelial lymphocytes in primary tumors are associated with a poor overall survival in mCRC patients. (A) Kaplan-Meier curves depict overall survival of patients with a mCRC without HLA-E/β2m overexpression by tumor cells (solid curve) or with HLA-E/β2m overexpression by tumor cells (broken curve). (B) Kaplan-Meier curves depict overall survival of patients with a mCRC containing a high (broken curve) or a low (solid line) density of CD94⁺ intraepithelial lymphocytes (second quartile).</figcaption></figure>

(CD16) intraepithelial TIL, CD8⁺ TIL (2nd quartile), FcγRIIIA⁺ (CD16) intraepithelial TAN, and HLA-E overexpression, the negative impact of HLA-E overexpression in primary tumors on prognosis was confirmed (HLA-E/β2m: HR 3.9, CI [1.08;14.3], p = 0.038). This negative prognostic impact of both HLA-E/β2m overexpression and density of CD94⁺ intraepithelial lymphocytes was not observed for metastases.

DISCUSSION

*In situ* analysis of the tumor microenvironment emerges as an important means to understand tumor progression but also to predict therapeutic response through the close interactions between tumor cells and immune cells, especially in the promising field of immunotherapies – but not exclusively -, in order to improve their therapeutic efficacy (16). In the current study, we demonstrated for the first time, in wild-type RAS mCRC patients, a significant relationship between the density of FcγRIIIA⁺ (FcγRIIIA⁺ (CD16) intraepithelial TAN in close contact with tumor cells in metastases and the objective response to cetuximab. Until now, the strongest evidence supporting ADCC as a key mechanism of some monoclonal antibodies was based on studies evaluating the impact of FcγRIIIA polymorphisms on clinical response to IgG1 mAbs such as rituximab in lymphoma patients (17, 18), trastuzumab in breast carcinomas (19) or cetuximab in colorectal carcinomas (6). The fact that we demonstrated the therapeutic impact of the density of FcγRIIIA⁺ (CD16) ADCC effector cells in metastases, the main target of cetuximab in mCRC, gives a decisive evidence of the importance of this mechanism of action. Furthermore, as most of our responder patients (12/15) have received chemotherapy in combination with cetuximab, the synergistic effect of chemotherapy with cetuximab treatment to increase the efficiency of ADCC effectors can be raised.

Indeed, several studies have demonstrated the major role of some chemotherapeutic drugs such as anthracyclines, cyclophosphamine, oxaliplatine, among others, to boost the anti-tumor immune response, through the induction of an immunogenic tumor cell death (20). Moreover, in the setting of ADCC, in breast adenocarcinomas, paclitaxel seems to enhance ADCC mediated by trastuzumab by rapidly recruiting ADCC effectors from blood (21). Interestingly, regarding the exact nature of infiltrating intraepithelial effector FcγRIIIA⁺ (CD16) immune cells in direct contact with tumor cells, we showed that the majority of those cells corresponded to TAN and to some T cells, but very few NK cells. Indeed, we identified only scarce NKp46⁺ NK cells, both in primary and metastatic tumors, and their density in the whole tumor (intraepithelial compartment and stroma) assessed by flow cytometry was very low. Our results are in accordance with previous studies showing the scarcity of infiltrating NK cells in CRC (11, 22, 23). Thus, these results suggest that intraepithelial NK cells, considered as the main effector cells in monoclonal antibodies-mediated tumor therapy, are not the major effector cell population in the setting of cetuximab-mediated ADCC in mCRC. Conversely, TAN constitute the main intraepithelial FcγRIIIA⁺ (CD16) ADCC effector cells, that we identified in both primary and metastatic tumors. Neutrophils are known to be potent mediators of ADCC against antibody-opsonized tumor cells, by a mechanism recently identified as trogoptosis (24). Their role in ADCC was first demonstrated *in vivo* in tumor-xenografted murine models treated with different monoclonal antibodies (24). In human, their cell killing mechanisms have not yet been completely unraveled, and more generally, the FcR-expressing cell populations responsible for the mAb-induced therapeutic effects on tumors, have not been formally identified. However, neutrophils could represent a major player of ADCC as they constitutively express FcγRIII, and this receptor is the most
<figure><img src="image_7.png" /><figcaption>**FIGURE 5** | HLA-E/β2m overexpression by tumor cells and a high density of CD94⁺ intraepithelial lymphocytes in primary tumors are associated with a poor overall survival in mCRC patients. (A) Kaplan-Meier curves depict overall survival of patients with a mCRC without HLA-E/β2m overexpression by tumor cells (solid curve) or with HLA-E/β2m overexpression by tumor cells (broken curve). (B) Kaplan-Meier curves depict overall survival of patients with a mCRC containing a high (broken curve) or a low (solid line) density of CD94⁺ intraepithelial lymphocytes (second quartile).</figcaption></figure>

(CD16) intraepithelial TIL, CD8⁺ TIL (2nd quartile), FcγRIIIA⁺ (CD16) intraepithelial TAN, and HLA-E overexpression, the negative impact of HLA-E overexpression in primary tumors on prognosis was confirmed (HLA-E/β2m: HR 3.9, CI [1.08;14.3], p = 0.038). This negative prognostic impact of both HLA-E/β2m overexpression and density of CD94⁺ intraepithelial lymphocytes was not observed for metastases.

DISCUSSION

*In situ* analysis of the tumor microenvironment emerges as an important means to understand tumor progression but also to predict therapeutic response through the close interactions between tumor cells and immune cells, especially in the promising field of immunotherapies – but not exclusively -, in order to improve their therapeutic efficacy (16). In the current study, we demonstrated for the first time, in wild-type RAS mCRC patients, a significant relationship between the density of FcγRIIIA⁺ (FcγRIIIA⁺ (CD16) intraepithelial TAN in close contact with tumor cells in metastases and the objective response to cetuximab. Until now, the strongest evidence supporting ADCC as a key mechanism of some monoclonal antibodies was based on studies evaluating the impact of FcγRIIIA polymorphisms on clinical response to IgG1 mAbs such as rituximab in lymphoma patients (17, 18), trastuzumab in breast carcinomas (19) or cetuximab in colorectal carcinomas (6). The fact that we demonstrated the therapeutic impact of the density of FcγRIIIA⁺ (CD16) ADCC effector cells in metastases, the main target of cetuximab in mCRC, gives a decisive evidence of the importance of this mechanism of action. Furthermore, as most of our responder patients (12/15) have received chemotherapy in combination with cetuximab, the synergistic effect of chemotherapy with cetuximab treatment to increase the efficiency of ADCC effectors can be raised.

Indeed, several studies have demonstrated the major role of some chemotherapeutic drugs such as anthracyclines, cyclophosphamine, oxaliplatine, among others, to boost the anti-tumor immune response, through the induction of an immunogenic tumor cell death (20). Moreover, in the setting of ADCC, in breast adenocarcinomas, paclitaxel seems to enhance ADCC mediated by trastuzumab by rapidly recruiting ADCC effectors from blood (21). Interestingly, regarding the exact nature of infiltrating intraepithelial effector FcγRIIIA⁺ (CD16) immune cells in direct contact with tumor cells, we showed that the majority of those cells corresponded to TAN and to some T cells, but very few NK cells. Indeed, we identified only scarce NKp46⁺ NK cells, both in primary and metastatic tumors, and their density in the whole tumor (intraepithelial compartment and stroma) assessed by flow cytometry was very low. Our results are in accordance with previous studies showing the scarcity of infiltrating NK cells in CRC (11, 22, 23). Thus, these results suggest that intraepithelial NK cells, considered as the main effector cells in monoclonal antibodies-mediated tumor therapy, are not the major effector cell population in the setting of cetuximab-mediated ADCC in mCRC. Conversely, TAN constitute the main intraepithelial FcγRIIIA⁺ (CD16) ADCC effector cells, that we identified in both primary and metastatic tumors. Neutrophils are known to be potent mediators of ADCC against antibody-opsonized tumor cells, by a mechanism recently identified as trogoptosis (24). Their role in ADCC was first demonstrated *in vivo* in tumor-xenografted murine models treated with different monoclonal antibodies (24). In human, their cell killing mechanisms have not yet been completely unraveled, and more generally, the FcR-expressing cell populations responsible for the mAb-induced therapeutic effects on tumors, have not been formally identified. However, neutrophils could represent a major player of ADCC as they constitutively express FcγRIII, and this receptor is the most
abundant Fcγ receptor expressed by neutrophils (25, 26). Our results underscore this assumption as we showed that these myeloid cells represent the main intraepithelial cell subtype expressing FcγRIIIA⁺ (CD16) and most importantly, their high density in metastases was associated with a better response to cetuximab. Sconnochia et al. also identified FcγRIIIA⁺ (CD16) myeloid cells in the stroma of CRC primary tumors with a phenotype (CD33⁺CD11b⁺CD11c⁺) suitable for neutrophils (23). Besides neutrophils, we also identified FcγRIIIA⁺ (CD16) and GrB⁺ (in an equal proportion) intraepithelial lymphocytes. Sconnochia et al. also identified in primary CRC tumor some FcγRIIIA⁺ (CD16) T lymphocytes without more information concerning their precise localization in the stroma or in the epithelial compartment (23). The FcγRIIIA⁺ (CD16) intraepithelial lymphocytes we identified could correspond mainly to cytotoxic CD8⁺ T cells, as suggested by our flow cytometry data. According to this hypothesis, Bjorkstrom et al. found CD8⁺ αβ T cells expressing FcγRIIIA (CD16) in the peripheral blood and in the liver of HCV-infected patients, and reported that these T cells displayed a late-stage effector phenotype and expressed high levels of perforin (27). Furthermore, it has been demonstrated that FcγRIIIA⁺ (CD16) subset of CD8⁺ T cells was able to mediate ADCC ex vivo and that their number increased during a virus-specific T-cell response (28). Altogether, our findings suggest that FcγRIIIA⁺ (CD16) intraepithelial TAN, as well as FcγRIIIA⁺ (CD16) intraepithelial cytotoxic T lymphocytes although found in a lower proportion than TAN, represent important ADCC effector cells in metastases in a context of cetuximab-based therapy in mCRC patients. From a clinical point of view, our results provide strong support for the use of bispecific antibody anti-EGFR/anti-FcγRIIIA as a novel strategy of antitumor immunotherapy to improve the ADCC-mediated efficiency of cetuximab in recruiting FcγRIIIA⁺ (CD16) ADCC effector cells at tumor site and offering an effective linkage between drugs and tumor target. Indeed, a phase I study has already tested a bispecific antibody (AFM13) directed against both the FcγRIIIa (CD16) and CD30, a membrane antigen strongly expressed by tumor cells, in patients with refractory or relapsed Hodgkin's lymphoma and demonstrated its tolerability and its significant effectiveness with an overall response rate of 23% (29). One bispecific antibody targeting both FcγRIIIA (CD16) and EGF-R has yet been constructed and humanized (30) and could be tested in mCRC patients to enhance the ADCC-mediated response to cetuximab.

Interestingly, in contrast to some *in vitro* experiments based on co-cultures showing that HLA-E overexpression by CRC cell lines inhibits the cetuximab-mediated cellular cytotoxicity by NK cells *via* engagement of its inhibitory CD94/NKG2A receptor (8), we failed to demonstrate a negative impact of HLA-E/β2m overexpression by tumor cells or presence of CD94⁺immune cells on the clinical response to cetuximab. These apparent discordant results could be explained by the limitation of the *in vitro* conditions (CRC cell lines co-cultured with healthy PBMC containing the major effectors of ADCC, i.e., NK cells), which do not mimic the CRC tumor

microenvironment. Indeed, the immune cell populations recruited in CRC significantly differ from those tested in these *in vitro* experiments, as we detected only scarce NK cells in line with other previous studies, but numerous FcγRIIIA⁺ (CD16) TAN which are known not to express (or scarcely) the inhibitory CD94/NKG2A receptor (31). Thus, one can hypothesize that intra-epithelial TILs, mostly corresponding to CD8⁺ TILs, could replace NK cells to inhibit the cetuximab-mediated cellular cytotoxicity as they represent the second cytotoxic cell type known to display this inhibitory receptor. However, we found an altered balance between FcγRIIIA⁺ (CD16) TAN and CD94⁺ intra-epithelial TILs in metastases (0.99% vs 0.5%, respectively) that could explain this lack of significant inhibitory effect on ADCC. So we can speculate that NKG2A could represent a critical player in this imbalance between TAN and CD94⁺ intraepithelial cytotoxic TILs, limiting the expansion of cytotoxic TILs without affecting TAN expansion, and thus, impairing the anti-tumor immune response mediated by those TILs.

In line with this defective anti-tumor immune response caused by exhausted cytotoxic TILs by the engagement of the CD94/NKG2A-HLA-E/β2m axis, we confirmed in this study, based on an independent cohort of metastatic CRC patients, our previous results demonstrating that overexpression of HLA-E/β2m by tumor cells (10), as well as the high density of CD94⁺ TILs (11), in primary tumors at diagnosis predict an unfavorable prognosis. Furthermore, our study, the first to explore and compare the expression profile of this new immune checkpoint in paired primary and metastatic tumors of mCRC patients, demonstrates that HLA-E/β2m is preferentially expressed by tumor cells in metastases compared with primary tumors. This differential expression of HLA-E between primary tumor and metastases was also reported by Sasaki et al. in gastric carcinoma (32). Taking into account the confirmed unfavorable prognostic impact of this new inhibitory immune checkpoint NKG2A and its ligand HLA-E/β2m in terms of OS, our results provide additional arguments to consider that HLA-E/β2m overexpression by tumor cells promotes tumor progression in CRC and facilitates the metastatic dissemination through an immune escape mechanism. They also provide convincing arguments to inhibit this new immune checkpoint with monalizumab, a humanized IgG4 anti-NKG2A antibody, as a promising new therapeutic alternative in the field of immunotherapy for mCRC patients, beyond anti-PD1 therapies.

Furthermore, we found that the density of intraepithelial FcγRIIIA⁺ (CD16) TAN in primary tumors was associated with a better prognosis in accordance with the results of Sconnochia et al. who reported the favorable prognostic impact associated with a high density of FcγRIIIA⁺ (CD16) tumor-infiltrating myeloid cells in a large series of primary CRC tumors. However, they did not report the presence of FcγRIIIA⁺ (CD16) TAN but of mainly large cells mostly corresponding to TAM (23). Our finding rather supports the tumor-suppressive function of FcγRIIIA⁺ (CD16) TAN in primary tumor at least, although in many tumors a high intratumor density of neutrophils is known to be associated
abundant Fcγ receptor expressed by neutrophils (25, 26). Our results underscore this assumption as we showed that these myeloid cells represent the main intraepithelial cell subtype expressing FcγRIIIA⁺ (CD16) and most importantly, their high density in metastases was associated with a better response to cetuximab. Sconnochia et al. also identified FcγRIIIA⁺ (CD16) myeloid cells in the stroma of CRC primary tumors with a phenotype (CD33⁺CD11b⁺CD11c⁺) suitable for neutrophils (23). Besides neutrophils, we also identified FcγRIIIA⁺ (CD16) and GrB⁺ (in an equal proportion) intraepithelial lymphocytes. Sconnochia et al. also identified in primary CRC tumor some FcγRIIIA⁺ (CD16) T lymphocytes without more information concerning their precise localization in the stroma or in the epithelial compartment (23). The FcγRIIIA⁺ (CD16) intraepithelial lymphocytes we identified could correspond mainly to cytotoxic CD8⁺ T cells, as suggested by our flow cytometry data. According to this hypothesis, Bjorkstrom et al. found CD8⁺ αβ T cells expressing FcγRIIIA (CD16) in the peripheral blood and in the liver of HCV-infected patients, and reported that these T cells displayed a late-stage effector phenotype and expressed high levels of perforin (27). Furthermore, it has been demonstrated that FcγRIIIA⁺ (CD16) subset of CD8⁺ T cells was able to mediate ADCC ex vivo and that their number increased during a virus-specific T-cell response (28). Altogether, our findings suggest that FcγRIIIA⁺ (CD16) intraepithelial TAN, as well as FcγRIIIA⁺ (CD16) intraepithelial cytotoxic T lymphocytes although found in a lower proportion than TAN, represent important ADCC effector cells in metastases in a context of cetuximab-based therapy in mCRC patients. From a clinical point of view, our results provide strong support for the use of bispecific antibody anti-EGFR/anti-FcγRIIIA as a novel strategy of antitumor immunotherapy to improve the ADCC-mediated efficiency of cetuximab in recruiting FcγRIIIA⁺ (CD16) ADCC effector cells at tumor site and offering an effective linkage between drugs and tumor target. Indeed, a phase I study has already tested a bispecific antibody (AFM13) directed against both the FcγRIIIa (CD16) and CD30, a membrane antigen strongly expressed by tumor cells, in patients with refractory or relapsed Hodgkin's lymphoma and demonstrated its tolerability and its significant effectiveness with an overall response rate of 23% (29). One bispecific antibody targeting both FcγRIIIA (CD16) and EGF-R has yet been constructed and humanized (30) and could be tested in mCRC patients to enhance the ADCC-mediated response to cetuximab.

Interestingly, in contrast to some *in vitro* experiments based on co-cultures showing that HLA-E overexpression by CRC cell lines inhibits the cetuximab-mediated cellular cytotoxicity by NK cells *via* engagement of its inhibitory CD94/NKG2A receptor (8), we failed to demonstrate a negative impact of HLA-E/β2m overexpression by tumor cells or presence of CD94⁺immune cells on the clinical response to cetuximab. These apparent discordant results could be explained by the limitation of the *in vitro* conditions (CRC cell lines co-cultured with healthy PBMC containing the major effectors of ADCC, i.e., NK cells), which do not mimic the CRC tumor

microenvironment. Indeed, the immune cell populations recruited in CRC significantly differ from those tested in these *in vitro* experiments, as we detected only scarce NK cells in line with other previous studies, but numerous FcγRIIIA⁺ (CD16) TAN which are known not to express (or scarcely) the inhibitory CD94/NKG2A receptor (31). Thus, one can hypothesize that intra-epithelial TILs, mostly corresponding to CD8⁺ TILs, could replace NK cells to inhibit the cetuximab-mediated cellular cytotoxicity as they represent the second cytotoxic cell type known to display this inhibitory receptor. However, we found an altered balance between FcγRIIIA⁺ (CD16) TAN and CD94⁺ intra-epithelial TILs in metastases (0.99% vs 0.5%, respectively) that could explain this lack of significant inhibitory effect on ADCC. So we can speculate that NKG2A could represent a critical player in this imbalance between TAN and CD94⁺ intraepithelial cytotoxic TILs, limiting the expansion of cytotoxic TILs without affecting TAN expansion, and thus, impairing the anti-tumor immune response mediated by those TILs.

In line with this defective anti-tumor immune response caused by exhausted cytotoxic TILs by the engagement of the CD94/NKG2A-HLA-E/β2m axis, we confirmed in this study, based on an independent cohort of metastatic CRC patients, our previous results demonstrating that overexpression of HLA-E/β2m by tumor cells (10), as well as the high density of CD94⁺ TILs (11), in primary tumors at diagnosis predict an unfavorable prognosis. Furthermore, our study, the first to explore and compare the expression profile of this new immune checkpoint in paired primary and metastatic tumors of mCRC patients, demonstrates that HLA-E/β2m is preferentially expressed by tumor cells in metastases compared with primary tumors. This differential expression of HLA-E between primary tumor and metastases was also reported by Sasaki et al. in gastric carcinoma (32). Taking into account the confirmed unfavorable prognostic impact of this new inhibitory immune checkpoint NKG2A and its ligand HLA-E/β2m in terms of OS, our results provide additional arguments to consider that HLA-E/β2m overexpression by tumor cells promotes tumor progression in CRC and facilitates the metastatic dissemination through an immune escape mechanism. They also provide convincing arguments to inhibit this new immune checkpoint with monalizumab, a humanized IgG4 anti-NKG2A antibody, as a promising new therapeutic alternative in the field of immunotherapy for mCRC patients, beyond anti-PD1 therapies.

Furthermore, we found that the density of intraepithelial FcγRIIIA⁺ (CD16) TAN in primary tumors was associated with a better prognosis in accordance with the results of Sconnochia et al. who reported the favorable prognostic impact associated with a high density of FcγRIIIA⁺ (CD16) tumor-infiltrating myeloid cells in a large series of primary CRC tumors. However, they did not report the presence of FcγRIIIA⁺ (CD16) TAN but of mainly large cells mostly corresponding to TAM (23). Our finding rather supports the tumor-suppressive function of FcγRIIIA⁺ (CD16) TAN in primary tumor at least, although in many tumors a high intratumor density of neutrophils is known to be associated
with a poor prognosis, probably in line with the tumor-
supportive function of some subpopulations of TAN (N2
phenotype) (33, 34). Thus, the subpopulation of FcγRIIIA⁺
(CD16) TAN we considered and counted for the first time to
our knowledge, could rather represent neutrophils with N1
phenotype which exert their antitumor activity by the
activation of different innate and adaptive immune cells
including B and T lymphocytes, and dendritic cells (35).
Indeed, it is known that NK cells and CD8⁺ T lymphocytes
can be engaged in bidirectional cross-talk with neutrophils,
resulting in the regulation of the adaptive immune response
(36). Further studies are urgently needed to deeply explore in situ
the complex interactions between innate and adaptive immune
cells in the tumor microenvironment of CRC, owing to the
identification of more accurate immune cells signatures as
predictive/prognostic biomarkers.

In conclusion, we demonstrated for the first time in this
study that a high density of FcγRIIIa⁺ (CD16) intraepithelial
TAN in close contact with tumor cells in CRC metastases, is
associated with an improved response to cetuximab. From a
therapeutic point of view, our results strongly support the use
of bispecific antibodies as a dual targeting strategy, both
neutralizing EGFR on tumor cells and recruiting FcγRIIIa⁺
TAN in contact with tumor cells to boost the ADCC-mediated
tumor cell lysis. Furthermore, the preferential overexpression
of HLA-E/β2m in metastases associated with CD94⁺ TILs,
provides supplementary convincing arguments to inhibit this
new immune checkpoint NKG2A with monalizumab, in
combination with anti- FcγRIIIA/EGFR bispecific antibodies
as a promising therapeutic perspective in RAS wild-type
mCRC patients to improve both ADCC and anti-tumor T
cell responses.

DATA AVAILABILITY STATEMENT

The original contributions presented in the study are included in
the article/supplementary material. Further inquiries can be
directed to the corresponding author.

REFERENCES

1. Douillard JY, Rong A, Sidhu R. RAS Mutations in Colorectal Cancer. *N Engl J Med* (2013) 369:2159–60. doi: 10.1056/NEJMc1312697

2. Weiner GJ. Monoclonal Antibody Mechanisms of Action in Cancer. *Immunol Res* (2007) 39:271–8. doi: 10.1007/s12026-007-0073-4

3. Kurai J, Chikumi H, Hashimoto K, Yamaguchi K, Yamasaki A, Sako T, et al. Antibody-Dependent Cellular Cytotoxicity Mediated by Cetuximab Against Lung Cancer Cell Lines. *Clin Cancer Res* (2007) 13:1552–61. doi: 10.1158/1078-0432.CCR-06-1726

4. Ravetch JV, Bolland S. IgG Fc Receptors. *Annu Rev Immunol* (2001) 19:275–90. doi: 10.1146/annurev.immunol.19.1.275

5. Lanier LL, Le AM, Phillips JH, Babcock GF. Subpopulations of Human Natural Killer Cells Defined by Expression of the Leu-7 (HNK-1) and Leu-11 (NK-15) Antigens. *J Immunol* (1983) 131:1789–96.

6. Bibeau F, Lopez-Crapez E, Di Fiore F, Thezenas S, Ychou M, Blanchard F, et al. Impact of Fc<sup>γ</sup>γ<sup>δ</sup>γ<sup>ε</sup>γ<sup>δ</sup>Polymorphisms and KRAS Mutations on the Clinical Outcome of Patients With Metastatic Colorectal

ETHICS STATEMENT

Our tissue biocollection has been registered with the French Ministry for Higher Education and Research (DC-2014-2206) with approval from the ethic committee (CPP Ouest IV-Nantes). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements. Except for the 4 patients included prospectively for the flow cytometry analysis who signed an informed consent.

AUTHOR CONTRIBUTIONS

CB and NG contributed to the study design, methodology,
supervision, and manuscript draft. MM contributed to the
experiments and morphological data analysis. MP contributed
to the statistical analysis. CT, J-FM, FL, M-CR, and JL
contributed to the tumor tissue availability and pathological
annotations. SB contributed to genetic data. NJ contributed to
flow cytometry analysis. TM, RF, and F-XB contributed to the
clinical data availability of included patients. All authors
contributed to the article and approved the submitted version.

FUNDING

This work was supported by La Ligue contre le cancer, comité du Finistère (France), the 09/03 DHOS/INSERM project and the DHU Oncogreffe. This work was performed in the context of the LabEX IGO program supported by the National Research Agency *via* the investment of the future program ANR-11-LABX-0016-01.

ACKNOWLEDGMENTS

We thank C. Deleine and S. Blandin from the tissue and cell
imaging platform “MicroPICell” (from the Federative Structure
Research François Bonamy (Nantes) for technical assistance.

Cancer Treated With Cetuximab Plus Irinotecan. *J Clin Oncol* (2009) 27:1122–9. doi: 10.1200/JCO.2008.18.0463

7. Calemma R, Ottaiano A, Trotta AM, Nasti G, Romano C, Napolitano M, et al. Fc Gamma Receptor IIIa Polymorphisms in Advanced Colorectal Cancer Patients Correlated With Response to Anti-EGFR Antibodies and Clinical Outcome. *J Transl Med* (2012) 10:232. doi: 10.1186/1479-5876-10-232

8. Levy EM, Sycz G, Arriaga JM, Barrio MM, Von Euw EM, Morales SB, et al. Cetuximab-Mediated Cellular Cytotoxicity is Inhibited by HLA-E Membrane Expression in Colon Cancer Cells. *Innate Immun* (2009) 15:91–100. doi: 10.1177/1753425908101404

9. Braud VM, Allan DS, O'Callaghan CA, Söderström K, D'Andrea A, Ogg GS, et al. HLA-E Binds to Natural Killer Cell Receptors CD94/NKG2A, B and C. *Nature* (1998) 391:795–9. doi: 10.1038/35869

10. Bossard C, Bézieau S, Matysiak-Budnik T, Volteau C, Laboisse CL, Jotereau F, et al. HLA-E/β2 Microglobulin Overexpression in Colorectal Cancer Is Associated With Recruitment of Inhibitory Immune Cells and Tumor Progression. *Int J Cancer* (2012) 13:855–63. doi: 10.1002/ijc.26453
with a poor prognosis, probably in line with the tumor-
supportive function of some subpopulations of TAN (N2
phenotype) (33, 34). Thus, the subpopulation of FcγRIIIA⁺
(CD16) TAN we considered and counted for the first time to
our knowledge, could rather represent neutrophils with N1
phenotype which exert their antitumor activity by the
activation of different innate and adaptive immune cells
including B and T lymphocytes, and dendritic cells (35).
Indeed, it is known that NK cells and CD8⁺ T lymphocytes
can be engaged in bidirectional cross-talk with neutrophils,
resulting in the regulation of the adaptive immune response
(36). Further studies are urgently needed to deeply explore in situ
the complex interactions between innate and adaptive immune
cells in the tumor microenvironment of CRC, owing to the
identification of more accurate immune cells signatures as
predictive/prognostic biomarkers.

In conclusion, we demonstrated for the first time in this
study that a high density of FcγRIIIa⁺ (CD16) intraepithelial
TAN in close contact with tumor cells in CRC metastases, is
associated with an improved response to cetuximab. From a
therapeutic point of view, our results strongly support the use
of bispecific antibodies as a dual targeting strategy, both
neutralizing EGFR on tumor cells and recruiting FcγRIIIa⁺
TAN in contact with tumor cells to boost the ADCC-mediated
tumor cell lysis. Furthermore, the preferential overexpression
of HLA-E/β2m in metastases associated with CD94⁺ TILs,
provides supplementary convincing arguments to inhibit this
new immune checkpoint NKG2A with monalizumab, in
combination with anti- FcγRIIIA/EGFR bispecific antibodies
as a promising therapeutic perspective in RAS wild-type
mCRC patients to improve both ADCC and anti-tumor T
cell responses.

DATA AVAILABILITY STATEMENT

The original contributions presented in the study are included in
the article/supplementary material. Further inquiries can be
directed to the corresponding author.

REFERENCES

1. Douillard JY, Rong A, Sidhu R. RAS Mutations in Colorectal Cancer. *N Engl J Med* (2013) 369:2159–60. doi: 10.1056/NEJMc1312697

2. Weiner GJ. Monoclonal Antibody Mechanisms of Action in Cancer. *Immunol Res* (2007) 39:271–8. doi: 10.1007/s12026-007-0073-4

3. Kurai J, Chikumi H, Hashimoto K, Yamaguchi K, Yamasaki A, Sako T, et al. Antibody-Dependent Cellular Cytotoxicity Mediated by Cetuximab Against Lung Cancer Cell Lines. *Clin Cancer Res* (2007) 13:1552–61. doi: 10.1158/1078-0432.CCR-06-1726

4. Ravetch JV, Bolland S. IgG Fc Receptors. *Annu Rev Immunol* (2001) 19:275–90. doi: 10.1146/annurev.immunol.19.1.275

5. Lanier LL, Le AM, Phillips JH, Babcock GF. Subpopulations of Human Natural Killer Cells Defined by Expression of the Leu-7 (HNK-1) and Leu-11 (NK-15) Antigens. *J Immunol* (1983) 131:1789–96.

6. Bibeau F, Lopez-Crapez E, Di Fiore F, Thezenas S, Ychou M, Blanchard F, et al. Impact of Fc<sup>γ</sup>γ<sup>δ</sup>γ<sup>ε</sup>γ<sup>δ</sup>Polymorphisms and KRAS Mutations on the Clinical Outcome of Patients With Metastatic Colorectal

ETHICS STATEMENT

Our tissue biocollection has been registered with the French Ministry for Higher Education and Research (DC-2014-2206) with approval from the ethic committee (CPP Ouest IV-Nantes). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements. Except for the 4 patients included prospectively for the flow cytometry analysis who signed an informed consent.

AUTHOR CONTRIBUTIONS

CB and NG contributed to the study design, methodology,
supervision, and manuscript draft. MM contributed to the
experiments and morphological data analysis. MP contributed
to the statistical analysis. CT, J-FM, FL, M-CR, and JL
contributed to the tumor tissue availability and pathological
annotations. SB contributed to genetic data. NJ contributed to
flow cytometry analysis. TM, RF, and F-XB contributed to the
clinical data availability of included patients. All authors
contributed to the article and approved the submitted version.

FUNDING

This work was supported by La Ligue contre le cancer, comité du Finistère (France), the 09/03 DHOS/INSERM project and the DHU Oncogreffe. This work was performed in the context of the LabEX IGO program supported by the National Research Agency *via* the investment of the future program ANR-11-LABX-0016-01.

ACKNOWLEDGMENTS

We thank C. Deleine and S. Blandin from the tissue and cell
imaging platform “MicroPICell” (from the Federative Structure
Research François Bonamy (Nantes) for technical assistance.

Cancer Treated With Cetuximab Plus Irinotecan. *J Clin Oncol* (2009) 27:1122–9. doi: 10.1200/JCO.2008.18.0463

7. Calemma R, Ottaiano A, Trotta AM, Nasti G, Romano C, Napolitano M, et al. Fc Gamma Receptor IIIa Polymorphisms in Advanced Colorectal Cancer Patients Correlated With Response to Anti-EGFR Antibodies and Clinical Outcome. *J Transl Med* (2012) 10:232. doi: 10.1186/1479-5876-10-232

8. Levy EM, Sycz G, Arriaga JM, Barrio MM, Von Euw EM, Morales SB, et al. Cetuximab-Mediated Cellular Cytotoxicity is Inhibited by HLA-E Membrane Expression in Colon Cancer Cells. *Innate Immun* (2009) 15:91–100. doi: 10.1177/1753425908101404

9. Braud VM, Allan DS, O'Callaghan CA, Söderström K, D'Andrea A, Ogg GS, et al. HLA-E Binds to Natural Killer Cell Receptors CD94/NKG2A, B and C. *Nature* (1998) 391:795–9. doi: 10.1038/35869

10. Bossard C, Bézieau S, Matysiak-Budnik T, Volteau C, Laboisse CL, Jotereau F, et al. HLA-E/β2 Microglobulin Overexpression in Colorectal Cancer Is Associated With Recruitment of Inhibitory Immune Cells and Tumor Progression. *Int J Cancer* (2012) 13:855–63. doi: 10.1002/ijc.26453
11. Eugène J, Jouand N, Ducoin K, Dansette D, Oger R, Deleine C, et al. The Inhibitory Receptor CD94/NKG2A on CD8⁺ Tumor-Infiltrating Lymphocytes in Colorectal Cancer: A Promising New Druggable Immune Checkpoint in the Context of HLAE/β2m Overexpression. *Mod Pathol* (2020) 33(3):468-82. doi: 10.1038/s41379-019-0322-9

12. Borst L, van der Burg S, Van Hall T. The NKG2A-HLA-E Axis as a Novel Checkpoint in the Tumor Microenvironment. *Clin Cancer Res* (2020) 26:5549-5. doi: 10.1158/1078-0432.CCR-19-2095

13. Tsai MS, Su YH, Ho MC, Liang JT, Chen TP, Lai HS, et al. Clinicopathological Features and Prognosis in Resectable Synchronous and Metachronous Colorectal Liver Metastasis. *Ann Surg Oncol* (2007) 14:786-94. doi: 10.1245/s10434-006-9215-5

14. Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New Response Evaluation Criteria in Solid Tumours: Revised RECIST Guideline (Version 1.1). *Eur J Cancer* (2009) 45:228-47. doi: 10.1016/j.ejca.2008.10.026

15. Garaud S, Gu-Trantien C, Lodewyckx JN, Boisson A, De Silva P, Buisseret L, et al. A Simple and Rapid Protocol to non-Enzymatically Dissociate Fresh Human Tissues for the Analysis of Infiltrating Lymphocytes. *J Vis Exp* (2014) 94. doi: 10.3791/52392

16. Fridman WH, Pagès F, Sautès-Fridman C, Galon J. The Immune Contexture in Human Tumours: Impact on Clinical Outcome. *Nat Rev Cancer* (2012) 12:298-306. doi: 10.1038/nrc3245

17. Cartron G, Dacheux L, Salles G, Solal-Celigny P, Bardos P, Colombat P, et al. Therapeutic Activity of Humanized Anti-CD20 Monoclonal Antibody and Polymorphism in IgG Fc Receptor FcgammaRIIIa Gene. *Blood* (2002) 99:754-8. doi: 10.1182/blood.v99.3.754

18. Weng WK, Levy R. Two Immunoglobulin G Fragment C Receptor Polymorphisms Independently Predict Response to Rituximab in Patients With Follicular Lymphoma. *J Clin Oncol* (2003) 21:3940-7. doi: 10.1080/10428190903128660

19. Musolino A, Naldi N, Bortesi B, Pezzuolo D, Capelletti M, Missale G, et al. Immunoglobulin G Fragment C Receptor Polymorphisms and Clinical Efficacy of Trastuzumab-Based Therapy in Patients With HER-2/neu-positive Metastatic Breast Cancer. *J Clin Oncol* (2008) 26:1789-96. doi: 10.1200/JCO.2007.14.8957

20. Riveira Vargas T, Apetoh L. Can Immungenic Immunotherapies Relieve Resistance to Immune Checkpoint Inhibitors? *Front Immunol* (2019) 10:1181. doi: 10.3389/fimmu.2019.01181

21. Miura D, Yoneyama K, Furuhata Y, Shimizu K. Paclitaxel Enhances Antibody-Dependent Cell-Mediated Cytotoxicity of Trastuzumab by Rapid Recruitment of Natural Killer Cells in HER2-positive Breast Cancer. *J Nippon Med Sch* (2014) 81:211-20. doi: 10.1272/jnms.81.211

22. Halama N, Braun M, Kahlert C, Spille A, Quack C, Rahbari N, et al. Natural Killer Cells are Scarce in Colorectal Carcinoma Tissue Despite High Levels of Chemokines and Cytokines. *Clin Cancer Res* (2011) 17:678-89. doi: 10.1158/1078-0432.CCR-10-2173

23. Sconocchia G, Zlobec I, Lugli A, Calabrese D, Iezzi G, Karamitopoulou E, et al. Tumor Infiltration by FcγRIII (CD16)+ Myeloid Cells Is Associated With Improved Survival in Patients With Colorectal Carcinoma. *Int J Cancer* (2011) 128:2663-72. doi: 10.1002/ijc.25609

24. Matlung HL, Babes L, Zhao XW, van Houdt M, Treffers LW, van Rees DJ, et al. Neutrophils Kill Antibody-Opsonized Cancer Cells by Trogoptosis. *Cell Rep* (2018) 23(13):3946. doi: 10.1016/j.celrep.2018.05.082

25. Albanesi M, Mancardi DA, Jönsson F, Iannascoli B, Fiette L, Di Santo JP, et al. Neutrophils Mediate Antibody-Induced Antitumor Effects in Mice. *Blood* (2013) 122:3160-4. doi: 10.1182/blood-2013-04-497446

26. Van Egmond M, Bakema JE. Neutrophils as Effector Cells for Antibody-Based Immunotherapy of Cancer. *Semin Cancer Biol* (2013) 23:190-9. doi: 10.1016/j.semcancer.2012.12.002

27. Björkström NK, Gonzalez VD, Malmberg KJ, Falconer K, Alaeus A, Nowak G, et al. Elevated Numbers of Fc Gamma RIIIA+ (CD16+) Effector CD8 T Cells With NK Cell-Like Function in Chronic Hepatitis C Virus Infection. *J Immunol* (2008) 181:4219-28. doi: 10.4049/jimmunol.181.6.4219

28. Clémenceau B, Vivien R, Berthomé M, Robillard N, Garand R, Gallot G, et al. Effector Memory Alpha Beta T Lymphocytes can Express FcgammaRIIIa and Mediate Antibody-Dependent Cellular Cytotoxicity. *J Immunol* (2008) 180:5327-34. doi: 10.4049/jimmunol.180.8.5327

29. Rothe A, Sasse S, Topp MS, Eichenauer DA, Hummel H, Reiners KS, et al. A Phase I Study of the Bispecific anti-CD30/CD16A Antibody Construct AFM13 in Patients With Relapsed or Refractory Hodgkin Lymphoma. *Blood* (2015) 125:4024-31. doi: 10.1182/blood-2014-12-614636

30. Asano R, Nakayama M, Kawaguchi H, Kubota T, Nakanishi T, Umetsu M, et al. Construction and Humanization of a Functional Bispecific EGFR × CD16 Diabody Using a Refolding System. *FEBS J* (2012) 279:223-33. doi: 10.1111/j.1742-4658.2011.08417.x

31. Antonioli L, Fornai M, Pellegrini C, Blandizzi C. NKG2A and COVID-19: Another Brick in the Wall. *Cell Mol Immunol* (2020) 17:672-4. doi: 10.1038/s41423-020-0450-7

32. Sasaki T, Ravindranath MH, Terasaki PI, Freitas MC, Kawakita S, Jucaud V. Gastric Cancer Progression May Involve a Shift in HLA-E Profile From an Intact Heterodimer to β2-Microglobulin-Free Monomer. *Int J Cancer* (2014) 134:1558-70. doi: 10.1002/ijc.28484

33. Mizuno R, Kawada K, Itatani Y, Ogawa R, Kiyasu Y, Sakai Y. The Role of Tumor-Associated Neutrophils in Colorectal Cancer. *Int J Mol Sci* (2019) 20 (3):529. doi: 10.3390/ijms20030529

34. Masucci MT, Minopoli M, Carriero MV. Tumor Associated Neutrophils. Their Role in Tumorigenesis, Metastasis, Prognosis and Therapy. *Front Oncol* (2019) 9:1146. doi: 10.3389/fonc.2019.01146

35. Mantovani A, Cassatella MA, Costantini C, Jaillon S. Neutrophils in the Activation and Regulation of Innate and Adaptive Immunity. *Nat Rev Immunol* (2011) 11(8):519-31. doi: 10.1038/nri3024

36. Ley K, Hoffman HM, Kubes P, Cassatella MA, Zychlinsky A, Hedrick CC, et al. Neutrophils: New Insights and Open Questions. *Sci Immunol* (2018) 3 (30):eaat4579. doi: 10.1126/sciimmunol.aat4579

**Conflict of Interest:** The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright © 2021 Denis Musquer, Jouand, Pere, Lamer, Bézieau, Matysiak, Faroux, Caroli Bosc, Rousselet, Leclair, Mosnier, Toquet, Gervois and Bossard. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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18. Weng WK, Levy R. Two Immunoglobulin G Fragment C Receptor Polymorphisms Independently Predict Response to Rituximab in Patients With Follicular Lymphoma. *J Clin Oncol* (2003) 21:3940-7. doi: 10.1080/10428190903128660

19. Musolino A, Naldi N, Bortesi B, Pezzuolo D, Capelletti M, Missale G, et al. Immunoglobulin G Fragment C Receptor Polymorphisms and Clinical Efficacy of Trastuzumab-Based Therapy in Patients With HER-2/neu-positive Metastatic Breast Cancer. *J Clin Oncol* (2008) 26:1789-96. doi: 10.1200/JCO.2007.14.8957

20. Riveira Vargas T, Apetoh L. Can Immungenic Immunotherapies Relieve Resistance to Immune Checkpoint Inhibitors? *Front Immunol* (2019) 10:1181. doi: 10.3389/fimmu.2019.01181

21. Miura D, Yoneyama K, Furuhata Y, Shimizu K. Paclitaxel Enhances Antibody-Dependent Cell-Mediated Cytotoxicity of Trastuzumab by Rapid Recruitment of Natural Killer Cells in HER2-positive Breast Cancer. *J Nippon Med Sch* (2014) 81:211-20. doi: 10.1272/jnms.81.211

22. Halama N, Braun M, Kahlert C, Spille A, Quack C, Rahbari N, et al. Natural Killer Cells are Scarce in Colorectal Carcinoma Tissue Despite High Levels of Chemokines and Cytokines. *Clin Cancer Res* (2011) 17:678-89. doi: 10.1158/1078-0432.CCR-10-2173

23. Sconocchia G, Zlobec I, Lugli A, Calabrese D, Iezzi G, Karamitopoulou E, et al. Tumor Infiltration by FcγRIII (CD16)+ Myeloid Cells Is Associated With Improved Survival in Patients With Colorectal Carcinoma. *Int J Cancer* (2011) 128:2663-72. doi: 10.1002/ijc.25609

24. Matlung HL, Babes L, Zhao XW, van Houdt M, Treffers LW, van Rees DJ, et al. Neutrophils Kill Antibody-Opsonized Cancer Cells by Trogoptosis. *Cell Rep* (2018) 23(13):3946. doi: 10.1016/j.celrep.2018.05.082

25. Albanesi M, Mancardi DA, Jönsson F, Iannascoli B, Fiette L, Di Santo JP, et al. Neutrophils Mediate Antibody-Induced Antitumor Effects in Mice. *Blood* (2013) 122:3160-4. doi: 10.1182/blood-2013-04-497446

26. Van Egmond M, Bakema JE. Neutrophils as Effector Cells for Antibody-Based Immunotherapy of Cancer. *Semin Cancer Biol* (2013) 23:190-9. doi: 10.1016/j.semcancer.2012.12.002

27. Björkström NK, Gonzalez VD, Malmberg KJ, Falconer K, Alaeus A, Nowak G, et al. Elevated Numbers of Fc Gamma RIIIA+ (CD16+) Effector CD8 T Cells With NK Cell-Like Function in Chronic Hepatitis C Virus Infection. *J Immunol* (2008) 181:4219-28. doi: 10.4049/jimmunol.181.6.4219

28. Clémenceau B, Vivien R, Berthomé M, Robillard N, Garand R, Gallot G, et al. Effector Memory Alpha Beta T Lymphocytes can Express FcgammaRIIIa and Mediate Antibody-Dependent Cellular Cytotoxicity. *J Immunol* (2008) 180:5327-34. doi: 10.4049/jimmunol.180.8.5327

29. Rothe A, Sasse S, Topp MS, Eichenauer DA, Hummel H, Reiners KS, et al. A Phase I Study of the Bispecific anti-CD30/CD16A Antibody Construct AFM13 in Patients With Relapsed or Refractory Hodgkin Lymphoma. *Blood* (2015) 125:4024-31. doi: 10.1182/blood-2014-12-614636

30. Asano R, Nakayama M, Kawaguchi H, Kubota T, Nakanishi T, Umetsu M, et al. Construction and Humanization of a Functional Bispecific EGFR × CD16 Diabody Using a Refolding System. *FEBS J* (2012) 279:223-33. doi: 10.1111/j.1742-4658.2011.08417.x

31. Antonioli L, Fornai M, Pellegrini C, Blandizzi C. NKG2A and COVID-19: Another Brick in the Wall. *Cell Mol Immunol* (2020) 17:672-4. doi: 10.1038/s41423-020-0450-7

32. Sasaki T, Ravindranath MH, Terasaki PI, Freitas MC, Kawakita S, Jucaud V. Gastric Cancer Progression May Involve a Shift in HLA-E Profile From an Intact Heterodimer to β2-Microglobulin-Free Monomer. *Int J Cancer* (2014) 134:1558-70. doi: 10.1002/ijc.28484

33. Mizuno R, Kawada K, Itatani Y, Ogawa R, Kiyasu Y, Sakai Y. The Role of Tumor-Associated Neutrophils in Colorectal Cancer. *Int J Mol Sci* (2019) 20 (3):529. doi: 10.3390/ijms20030529

34. Masucci MT, Minopoli M, Carriero MV. Tumor Associated Neutrophils. Their Role in Tumorigenesis, Metastasis, Prognosis and Therapy. *Front Oncol* (2019) 9:1146. doi: 10.3389/fonc.2019.01146

35. Mantovani A, Cassatella MA, Costantini C, Jaillon S. Neutrophils in the Activation and Regulation of Innate and Adaptive Immunity. *Nat Rev Immunol* (2011) 11(8):519-31. doi: 10.1038/nri3024

36. Ley K, Hoffman HM, Kubes P, Cassatella MA, Zychlinsky A, Hedrick CC, et al. Neutrophils: New Insights and Open Questions. *Sci Immunol* (2018) 3 (30):eaat4579. doi: 10.1126/sciimmunol.aat4579

**Conflict of Interest:** The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright © 2021 Denis Musquer, Jouand, Pere, Lamer, Bézieau, Matysiak, Faroux, Caroli Bosc, Rousselet, Leclair, Mosnier, Toquet, Gervois and Bossard. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.