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EDITED BY

Michele Guida,
Istituto Nazionale dei Tumori "Giovanni
Paolo II"(IRCCS),
Italy

REVIEWED BY

Sanjay Premi,
Moffitt Cancer Center and Research
Institute, United States
Sebastian Yu,
Kaohsiung Medical University, Taiwan

*CORRESPONDENCE

Lise Boussemart

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

lise.boussemart@chu-nantes.fr

RECEIVED 29 June 2023

ACCEPTED 28 September 2023

PUBLISHED 23 October 2023

CITATION

Russo D, Dalle S, Dereure O, Mortier L, Dalac-Rat S, Dutriaux C, Leccia M-T, Legoupil D, Montaudié H, Maubec E, De Quatrebarbes J, Arnault J-P, Brocard FG, Saïag P, Dreno B, Allayous C, Oriano B, Lefevre W, Lebbé C and Boussemart L (2023) Differential gradients of immunotherapy vs targeted therapy efficacy according to the sun-exposure pattern of the site of occurrence of primary melanoma: a multicenter prospective cohort study (MelBase). *Front. Oncol.* 13:1250026.
doi: 10.3389/fonc.2023.1250026

COPYRIGHT

© 2023 Russo, Dalle, Dereure, Mortier, Dalac-Rat, Dutriaux, Leccia, Legoupil, Montaudié, Maubec, De Quatrebarbes, Arnault, Brocard, Saïag, Dreno, Allayous, Oriano, Lefevre, Lebbé and Boussemart. 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.

Differential gradients of
immunotherapy vs targeted
therapy efficacy according
to the sun-exposure pattern
of the site of occurrence of
primary melanoma: a
multicenter prospective
cohort study (MelBase)

David Russo<fnref n="1" />, Stéphane Dalle², Olivier Dereure³,
Laurent Mortier⁴, Sophie Dalac-Rat⁵, Caroline Dutriaux⁶,
Marie-Thérèse Leccia⁷,⁸, Delphine Legoupil⁹,
Henri Montaudié¹⁰, Eve Maubec¹¹, Julie De Quatrebarbes¹²,
Jean-Philippe Arnault¹³, Florence Granel Brocard¹⁴,
Philippe Saïag¹⁵, Brigitte Dreno¹⁶, Clara Allayous¹⁷,¹⁸,
Bastien Oriano¹⁷, Wendy Lefevre¹⁷, Céleste Lebbé¹⁷,¹⁸
and Lise Boussemart¹⁶,¹⁹*

**Background:** The tumor mutational burden (TMB) is high in melanomas owing to UV-induced oncogenesis. While a high TMB is a predictive biomarker of response to PD-1 inhibitors, it may be associated with the rise of resistant clones to targeted therapy over time. We hypothesized that survivals may depend on both the sun-exposure profile of the site of primary melanoma and the type of systemic treatment.

**Patients and methods:** Patients were screened from MelBase, a multicenter biobank dedicated to the prospective follow-up of stage III/IV melanoma. All

<footnote n="1">¹Department of Dermatology, Pontchaillou Hospital, CHU de Rennes, Rennes, France, ²Cancer Research Center of Lyon, Hospices Civils de Lyon, Pierre-Bénite, France, ³Department of Dermatology, Hôpital Saint-Eloi, CHU de Montpellier, Montpellier, France, ⁴Université Lille, Centre Hospitalier Régional Universitaire de Lille, Lille, France, ⁵Dermatology Department, CHU Dijon Bourgogne, CHU Le Bocage, Dijon, France, ⁶Centre Hospitalier Universitaire de Bordeaux, Hôpital Saint-André, Bordeaux, France, ⁷Dermatology Department, CHU Albert Michalon, Grenoble, France, ⁸Inserm, U1209, Université de Grenoble, Grenoble, France, ⁹Dermatology Department, CHRU Brest, Brest, France, ¹⁰Dermatology Department, Nice Hospital, Nice, France, ¹¹Dermatology Department, Avicenne Hospital, AP-HP, Bobigny, France, ¹²Dermatology Department, CH d'Annecy, Pringy, France, ¹³Dermatology Department, CHU Amiens Picardie, Amiens, France, ¹⁴Dermatology Department, CHU de Nancy, Nancy, France, ¹⁵Dermatology Department, Université de Versailles-Saint Quentin en Yvelines, AP-HP, Boulogne, France, ¹⁶Nantes Université, Univ Angers, INSERM, Immunology and New Concepts in ImmunoTherapy, INCIT, UMR 1302, Nantes, France, ¹⁷AP-HP, Dermatology Department, Hôpital Saint-Louis, Paris, France, ¹⁸Université de Paris, AP-HP Saint-Louis Hospital, Dermatology Department, INSERM U976, Paris, France, ¹⁹Dermatology Department, CHU de Nantes, Nantes, France</footnote>
patients with a known cutaneous primary melanoma who received a 1st-line systemic treatment by immunotherapy or targeted therapy were included (2013-2019). Outcomes were progression-free survival (PFS) and overall survival (OS).

**Results:** 973 patients received either anti PD-1(n=466), anti CTLA-4(n=143), a combination of both (n=118), or targeted therapies (n=246). Patients' characteristics at treatment initiation were: male (62%), median age of 62, AJCC stage IV (84%). Median follow-up was 15.5 months. The primary melanoma was located on chronically sun-exposed skin in 202 patients (G1: head neck), on intermittently sun-exposed skin in 699 patients (G2: trunk, arms, legs), and on sun-protected areas in 72 patients (G3: palms, soles). Median PFS was significantly higher in G1 under anti PD-1 treatment (8.7 months vs 3.3 and 3.4 months for G2 and G3, respectively) (p=0.011). PFS did not significantly differ in other groups. Similarly, median OS was significantly higher in G1 receiving 1st line anti PD-1 treatment (45.6 months vs 31.6 and 21.4 months for G2 and G3) (p=0.04), as opposed to 1st line targeted therapy (19.5 months vs 16.3 and 21.1 months for G1, G2 and G3 respectively).

**Conclusion:** Our study confirms that immunotherapy with anti PD-1 is particularly recommended for melanomas originating from chronically sun-exposed areas, but this finding needs to be confirmed by further research.

KEYWORDS

melanoma, immunotherapy, sun-exposure, acral melanoma, UV signature

## Background

In Western countries, melanoma holds the unfortunate record for the largest increase in cancer incidence in the past 50 years, doubling every ten years. In Europe, this cancer kills more than 25,000 people annually (1). Almost three quarters of melanomas today affect people over 50 years old.

As with most cancers, the risk factors identified to date can be classified into 2 groups: intrinsic factors, related to the genetic background of the individual, and extrinsic factors, related to the environment. More precisely, most melanomas result from the inability of a skin prototype (intrinsic factor), endowed with a given immune system, to repair the intracellular damage induced by exposure to carcinogenic agents, in particular UV radiation (UVR) (extrinsic factor).

On the therapeutic level, the treatment of advanced or metastatic melanoma has been revolutionized in the last decade, with the advent of immunotherapy with inhibitors of immune checkpoints known as “checkpoint inhibitors”, including anti PD-1 and anti CTLA-4 (2, 3). This new class of treatment has been shown to be effective in several types of skin cancers, commonly secondary to mutagenic UVR, with high tumor mutational burdens (TMB: number of non-synonymous mutations per Megabase of DNA).

In fact, numerous studies have shown the link between TMB and response to anti PD-1 monotherapy, regardless of the

histological type of cancer. The high rates of responses to anti PD-1 observed in the context of high mutational loads are attributed to the strong immunogenicity generated by the neoepitopes induced by the numerous mutations (4–6). But not all melanomas are due to UVR, such as plantar or genital melanomas. The chances of response to immunotherapy increase from 40 to 60% when combining anti PD-1 to anti CTLA-4, but at the cost of high and potentially durable toxicities (3).

In contrast, a high TMB has been shown to be negatively associated with clinical outcomes in metastatic lung cancer patients treated with targeted therapy such as EGFR-TKI (7). In the context of targeted therapy, which is the main other potentially effective therapeutic class available in advanced melanoma (8), a high TMB may also favor an increased pace with which a resistant subclone would, under the selective pressure of targeted therapy, lead to clinical resistance. However, this has never been demonstrated in melanoma.

Thus, we recently showed that TMB can help guiding the best treatment choice for each patient (9). Unfortunately, TMB measurement is not accessible to every patient, due to its cost and the technologies it requires. But in our recent study, we have shown that high sun exposure skin areas usually give rise to highly mutated melanomas and strong UV signature, as opposed to sun protected areas.

In case of advanced melanoma, molecular biology platforms perform targeted sequencing of certain exons of the *BRAF*, *KIT* and *NRAS* genes in the tumor DNA. Techniques, sensitivity and
depth of coverage vary from platform to platform. Wide coverages
make it possible to determine the TMB by extrapolation, but
unfortunately, the cost of assessing the TMB is significant and this
data is not accessible to everyone (10). Moreover, in the absence of a
standardized technique, a threshold response value to
immunotherapy in relationship to TMB, is lacking.

Here, because high skin cancer TMB often results from
cumulative UV-exposure over lifetime, we hypothesized that the
sun-exposure pattern of the site of the formerly excised primary
melanoma could influence survivals following first-line treatment
by either immunotherapy or targeted therapy.

## Patients and methods

### Design, population and endpoints

We studied the French multicentric MelBase prospective cohort
of unresectable stage III or IV cutaneous melanoma. We included
all patients, who received a first-line systemic treatment by
immunotherapy (nivolumab, pembrolizumab, ipilimumab alone,
or the combination of both nivolumab and ipilimumab) or
combined anti BRAF and anti MEK targeted therapy (dabrafenib
and trametinib or vemurafenib and cobimetinib) between January
2013 and November 2019. Patients with uveal, mucosal or
unknown primary melanoma were excluded.

According to the location of the known cutaneous primary
melanoma, we allocated each patient to a group of Bastian BC's sun-
exposure patterns (11, 12): Group #1 (G1) included patients whose
melanoma originated from a chronically sun-exposed area such as
head and neck, Group #2 (G2) included patients whose melanoma
originated from an intermittently sun-exposed area such as trunk,
arms and legs, and Group #3 (G3) included patients whose
melanoma originated in sun-protected areas such as palms and
soles. Primary outcome was progression-free survival (PFS),
secondary outcome was overall survival (OS).

### Statistical analysis

The follow-up duration median and range were calculated. The
median PFS and OS values were evaluated using the Kaplan-Meier
method and Cox proportional hazards regression models. The PFS
and OS values across the subgroups were compared using the log-
rank test in case of non-proportionality in Cox's model or using
Fleming-Harrington estimator if not.

Using univariate and multivariable cox proportional hazard
models, we analyzed the associations between groups and PFS. In
the multivariate analysis, we adjusted for age, Breslow (<1mm, 1-
2mm, 2-3mm, 3-4mm, >4mm), ECOG performance status, BRAF
status (wild type vs mutated), LDH level (normal vs elevated),
metastatic location (brain metastasis, cutaneous, liver, lung, lymph

node). To correct the non-proportional hazards assumptions, a
piecewise modeling has been made.

All analyses were carried out using R statistical software version
3.5.2 (The R Foundation for Statistical Computing, Vienna, Austria).

## Results

### Population

973 patients were included in our study. Patients' characteristics
at treatment initiation are shown in Table 1: male gender (62%),
median age of 62, ECOG 0-1 (84%) and normal LDH (52%).
Median follow-up was 15.5 months.

They received either immunotherapy (n=727), or targeted
therapy (n=246). Immunotherapy consisted in anti PD-1
monotherapy (n=466), including either nivolumab (n=171) or
pembrolizumab (n=295) alone, or anti CTLA-4 alone (n=143), or
a combination of nivolumab and ipilimumab (n=118). Targeted
therapy consisted in the combination of dabrafenib and trametinib
(n=187) or vemurafenib and cobimetinib (n=59).

The primary melanoma arose on chronically sun-exposed skin
in 175 patients (G1: head neck), on intermittently sun-exposed
skin in 615 patients (G2: trunk, arms, legs), and on sun-protected
areas in 65 patients (G3: palms, soles). The treatment received by
each group of patients are detailed in Table 2.

The most frequent histologic types were SSM (52%) and
nodular melanoma (NM) (25%). As expected, LMM (n=30) were
only found on G1, and ALM (n=39) were predominant in G3.
Median Breslow was 3mm, with no significant difference between
sun exposure groups. The majority of patients were treated for stage
IV melanoma (84%).

Fifty-eight percent of patients were BRAF wild type. BRAFV600
mutations were detected among 37% of patients (30% of G1
patients, 41% of G2 patients, and 15% of G3 patients).

### Survival analysis

The Kaplan-Meier PFS curves for each sun-exposure group, in
the total population, and for each treatment, is shown in
Figures 1A-E. Regardless of the first-line treatment, median PFS
significantly varied between groups, ranging from 7 months for G1,
to 5.6 months for G2 and 3.7 months in G3 (Figure 1A, p=0.01).

This better PFS in G1 was even greater under immunotherapy
(Figure 1B), particularly under anti PD-1 monotherapy (Figure 1E:
8.7 months for G1 vs 3.3 and 3.4 months for G2 and G3,
respectively) (p=0.011). This G1 advantage was not significant
under ipilimumab (Figure 1D). On the other hand, the median
PFS was long in G3 under targeted therapy (19.2 months vs 8.1 and
6 months for G2 and G1) (p=0.31), but this was not significantly
<table><caption>TABLE 1 Demographic and clinical characteristics at baseline.</caption><thead><tr><th></th><th>Characteristics</th><th>N (%)</th><th>G1</th><th>G2</th><th>G3</th></tr></thead><tbody><tr><td rowspan="2">SEX</td><td>f</td><td>372 (38)</td><td>57 (28)</td><td>274 (39)</td><td>41 (57)</td></tr><tr><td>m</td><td>601 (62)</td><td>145 (72)</td><td>425 (61)</td><td>31 (43)</td></tr><tr><td rowspan="4">AGE</td><td>18-40</td><td>113 (12)</td><td>25 (12)</td><td>87 (12)</td><td>1 (1)</td></tr><tr><td>40-65</td><td>427 (44)</td><td>72 (36)</td><td>320 (46)</td><td>35 (49)</td></tr><tr><td>65&lt;</td><td>433 (45)</td><td>105 (52)</td><td>292 (42)</td><td>36 (50)</td></tr><tr><td>median Q1-Q3</td><td>62.0 (49.0 to 71.0)</td><td>65.5 (52.0 to 74.8)</td><td>61.0 (48.0 to 71.0)</td><td>64.5 (53.8 to 71.2)</td></tr><tr><td rowspan="8">LOCATION</td><td>Trunk</td><td>378 (39)</td><td>0 (0)</td><td>378 (54)</td><td>0 (0)</td></tr><tr><td>Head & neck</td><td>202 (21)</td><td>202 (100)</td><td>0 (0)</td><td>0 (0)</td></tr><tr><td>Leg</td><td>113 (12)</td><td>0 (0)</td><td>113 (16)</td><td>0 (0)</td></tr><tr><td>Arm</td><td>105 (11)</td><td>0 (0)</td><td>105 (15)</td><td>0 (0)</td></tr><tr><td>Thighs</td><td>78 (8)</td><td>0 (0)</td><td>78 (11)</td><td>0 (0)</td></tr><tr><td>Sole/foot</td><td>66 (7)</td><td>0 (0)</td><td>0 (0)</td><td>66 (92)</td></tr><tr><td>Forearm</td><td>25 (3)</td><td>0 (0)</td><td>25 (4)</td><td>0 (0)</td></tr><tr><td>Palm/hand</td><td>6 (1)</td><td>0 (0)</td><td>0 (0)</td><td>6 (8)</td></tr><tr><td rowspan="7">BRESLOW (mm)</td><td>&lt;1</td><td>112 (12)</td><td>22 (11)</td><td>87 (12)</td><td>3 (4)</td></tr><tr><td>1-2</td><td>247 (25)</td><td>44 (22)</td><td>192 (27)</td><td>11 (15)</td></tr><tr><td>2-3</td><td>144 (15)</td><td>29 (14)</td><td>102 (15)</td><td>13 (18)</td></tr><tr><td>3-4</td><td>142 (15)</td><td>20 (10)</td><td>111 (16)</td><td>11 (15)</td></tr><tr><td>4&lt;</td><td>286 (29)</td><td>70 (35)</td><td>184 (26)</td><td>32 (44)</td></tr><tr><td>Unknown</td><td>42 (4)</td><td>17 (8)</td><td>23 (3)</td><td>2 (3)</td></tr><tr><td>Median Q1-Q3</td><td>3.0 (1.5 to 5.4)</td><td>3.5 (1.7 to 6.0)</td><td>3.0 (1.5 to 5.0)</td><td>4.0 (2.3 to 6.4)</td></tr><tr><td rowspan="3">ULCERATION</td><td>No</td><td>471 (48)</td><td>113 (56)</td><td>339 (48)</td><td>19 (26)</td></tr><tr><td>Yes</td><td>430 (44)</td><td>72 (36)</td><td>310 (44)</td><td>48 (67)</td></tr><tr><td>Unknown</td><td>72 (7)</td><td>17 (8)</td><td>50 (7)</td><td>5 (7)</td></tr><tr><td rowspan="10">HISTOLOGY</td><td>SSM</td><td>503 (52)</td><td>81 (40)</td><td>404 (58)</td><td>18 (25)</td></tr><tr><td>NM</td><td>242 (25)</td><td>42 (21)</td><td>190 (27)</td><td>10 (14)</td></tr><tr><td>Unclassable</td><td>69 (7)</td><td>22 (11)</td><td>41 (6)</td><td>6 (8)</td></tr><tr><td>Unknown</td><td>56 (6)</td><td>12 (6)</td><td>42 (6)</td><td>2 (3)</td></tr><tr><td>ALM</td><td>39 (4)</td><td>1 (0)</td><td>3 (0)</td><td>35 (49)</td></tr><tr><td>LMM</td><td>30 (3)</td><td>29 (14)</td><td>1 (0)</td><td>0 (0)</td></tr><tr><td>Desmoplastic</td><td>9 (1)</td><td>5 (2)</td><td>4 (1)</td><td>0 (0)</td></tr><tr><td>MLM</td><td>7 (1)</td><td>6 (3)</td><td>1 (0)</td><td>0 (0)</td></tr><tr><td>Spitzoid</td><td>7 (1)</td><td>2 (1)</td><td>4 (1)</td><td>1 (1)</td></tr><tr><td>Naevoid</td><td>6 (1)</td><td>1 (0)</td><td>5 (1)</td><td>0 (0)</td></tr><tr><td>Ambiguous</td><td>5 (1)</td><td>1 (0)</td><td>4 (1)</td><td>0 (0)</td></tr><tr><td rowspan="4">ECOG</td><td>0</td><td>621 (64)</td><td>128 (63)</td><td>447 (64)</td><td>46 (64)</td></tr><tr><td>1</td><td>196 (20)</td><td>41 (20)</td><td>136 (19)</td><td>19 (26)</td></tr><tr><td>2</td><td>47 (5)</td><td>12 (6)</td><td>32 (5)</td><td>3 (4)</td></tr><tr><td>3</td><td>15 (2)</td><td>3 (1)</td><td>12 (2)</td><td>0 (0)</td></tr></tbody></table>

(Continued)
<table><caption>TABLE 1 Continued</caption><thead><tr><th></th><th>Characteristics</th><th>N (%)</th><th>G1</th><th>G2</th><th>G3</th></tr></thead><tbody><tr><td rowspan="3">LDH</td><td>4</td><td>2 (0)</td><td>0 (0)</td><td>2 (0)</td><td>0 (0)</td></tr><tr><td>Unknown</td><td>92 (9)</td><td>18 (9)</td><td>70 (10)</td><td>4 (6)</td></tr><tr><td>Median Q1-Q3</td><td>1.0 (1.0 to 2.0)</td><td>1.0 (1.0 to 2.0)</td><td>1.0 (1.0 to 2.0)</td><td>1.0 (1.0 to 2.0)</td></tr><tr><td rowspan="3">AJCC</td><td>High</td><td>251 (26)</td><td>49 (24)</td><td>192 (27)</td><td>10 (14)</td></tr><tr><td>Normal</td><td>509 (52)</td><td>103 (51)</td><td>362 (52)</td><td>44 (61)</td></tr><tr><td>Unknown</td><td>213 (22)</td><td>50 (25)</td><td>145 (21)</td><td>18 (25)</td></tr><tr><td rowspan="10"></td><td>0</td><td>5 (1)</td><td>3 (1)</td><td>2 (0)</td><td>0 (0)</td></tr><tr><td>IA</td><td>1 (0)</td><td>1 (0)</td><td>0 (0)</td><td>0 (0)</td></tr><tr><td>IIB</td><td>1 (0)</td><td>1 (0)</td><td>0 (0)</td><td>0 (0)</td></tr><tr><td>IIC</td><td>1 (0)</td><td>1 (0)</td><td>0 (0)</td><td>0 (0)</td></tr><tr><td>IIIA</td><td>1 (0)</td><td>0 (0)</td><td>1 (0)</td><td>0 (0)</td></tr><tr><td>IIIB</td><td>24 (2)</td><td>3 (1)</td><td>20 (3)</td><td>1 (1)</td></tr><tr><td>IIIC</td><td>123 (13)</td><td>28 (14)</td><td>75 (11)</td><td>20 (28)</td></tr><tr><td>IV M1a</td><td>88 (9)</td><td>14 (7)</td><td>62 (9)</td><td>12 (17)</td></tr><tr><td>IV M1b</td><td>172 (18)</td><td>44 (22)</td><td>116 (17)</td><td>12 (17)</td></tr><tr><td>IV M1c</td><td>557 (57)</td><td>107 (53)</td><td>423 (61)</td><td>27 (38)</td></tr></tbody></table>

different due to the relatively low number of patients treated with targeted therapy in G3 (n=8).

To facilitate multimodal comparisons, differential PFS curves depending on first-line treatment are also shown in Figure 2, separately for each group (A: G1, B: G2, C: G3).

Multivariate analysis also confirmed a significant association between PFS and LDH rate (HR 1.47, CI95% (1.23-1.75), p<0.001), ECOG status (HR 0.52, CI95% (0.4-0.68) p<0.001), and the presence of brain metastasis (HR 1.47, CI95% (1.16-1.68) p<0.001).

The Kaplan-Meier OS curves for each sun-exposure group, in the total population, and for each treatment, is shown in Figures 3A-E. Similarly to PFS, regardless of the first-line treatment, median OS varied significantly between groups, ranging from 40.4 months for G1, to 25.8 months for G2 and 21.1 months in G3 (Figure 2A, p=0.0067). Here again, this better OS in G1 was even more significant under immunotherapy (Figure 3B), particularly under first-line anti PD-1 monotherapy (Figure 3E: 45.6 months for G1 vs 31.6 and 21.4 months for G2 and G3) (p=0.04).

Differential OS curves depending on first-line treatment are also shown in Figure 4, separately for each group (A: G1, B: G2, C: G3).

Finally, due to the very low number of patients, the combination of ipilimumab and nivolumab PFS and OS curves are shown separately in

Supplementary Figure 1, only for G1 and G2. The median PFS for G1 is not reached yet, but the G2 PFS reaches 9 months, which is better than the best median PFS observed for this group in Figure 2B (targeted therapy: 8.1 months). Although these preliminary curves are promising, due to the very low number of events, we cannot conclude on this recent combined immunotherapy yet.

## Discussion

Immunotherapy and combined targeted therapies have proven successful, as they produce a significant clinical benefit in a subset of unresectable melanoma patients. However, identification of the best treatment sequence, especially in case of the presence of a BRAF V600 mutation, remains a challenge. Indeed, the BRAFV600E driver mutation being devoid of any “UV-signature”, it can occur in colon or thyroid cancers and its presence is not particularly linked to a high TMB or response to immunotherapy.

Here, we showed that the more sun-exposed the skin area where the primary melanoma arose, the more likely the patient is to benefit from a first-line treatment with immunotherapy, particularly PD-1 inhibitor alone, both in terms of PFS and OS.

<table><caption>TABLE 2 First-line systemic treatments delivered according to sunexposure groups.</caption><thead><tr><th></th><th>G1</th><th>G2</th><th>G3</th><th>Total</th></tr></thead><tbody><tr><td>aPD1</td><td>111 (55)</td><td>318 (45)</td><td>37 (51)</td><td>466 (48)</td></tr><tr><td>Ipilimumab</td><td>22 (11)</td><td>101 (14)</td><td>20 (28)</td><td>143 (15)</td></tr><tr><td>TT (targeted therapy)</td><td>42 (21)</td><td>196 (28)</td><td>8 (11)</td><td>246 (25)</td></tr></tbody></table>
<figure><img src="image_3.png" /></figure>

<figure><img src="image_4.png" /><figcaption>FIGURE 1</figcaption></figure>

Kaplan-Meier estimates of progression free survival (PFS) according to the sun-exposure groups G1 (chronically sun-exposed, red curve), G2 (intermittently sun-exposed, green curve) and G3 (sun-protected, blue curve). (A) global PFS curves regardless of the first-line systemic treatment; (B) under immunotherapy (anti PD-1 or anti CTLA-4), (C) under targeted therapy (dabrafenib and trametinib or vemurafenib and cobimetinib); (D) under ipilimumab alone; (E) under anti PD-1 alone (nivolumab or pembrolizumab).

This has been confirmed in another recent study by Liu et al (11), restricted to immune checkpoint inhibitors. Beyond the strict location of the primary melanoma, visible photoaging could efficiently help identifying patients who will benefit from PD-1 inhibitors as monotherapy. On the other hand, our hypothesis that lower TMB in melanomas arising on sun protected areas (G3) would trigger better outcomes under targeted therapy, has not been confirmed probably because of the low number of patients in this

group. In addition, when interpreting G3 OS, one should keep in mind that palms and soles melanomas often evolve without causing deadly metastases for longer than other types of melanomas.

To our knowledge, this is the largest cohort focusing on the response profile to systemic treatments according to the location of the primary melanoma.

Numerous studies have associated high TMBs with clinical benefit from immunotherapy. However, the value of TMB is

<figure><img src="image_5.png" /><figcaption>FIGURE 2</figcaption></figure>

Kaplan-Meier estimates of progression free survival (PFS), each group taken individually, under each first-line treatment (PD-1 inhibitors, green curve; ipilimumab, light brown curve; targeted therapy, purple curve). (A) G1 PFS curves; (B) G2 PFS curves, (C) G3 PFS curves.
<figure><img src="image_6.png" /><figcaption>**FIGURE 3**
Kaplan-Meier estimates of overall survival (OS) according to the sun-exposure groups G1 (chronically sun-exposed, red curve), G2 (intermittently sun-exposed, green curve) and G3 (sun-protected, blue curve). (A) global OS curves regardless of the first-line systemic treatment; (B) under immunotherapy (anti PD-1 or anti CTLA-4), (C) under targeted therapy (dabrafenib and trametinib or vemurafenib and cobimetinib); (D) under ipilimumab alone; (E) under anti PD-1 alone (nivolumab or pembrolizumab).</figcaption></figure>

heterogeneous among all melanomas, and measurement techniques are not standardized. Chronically sun-damaged (CSD) melanomas are considered to have the highest TMB (25mut/Mb) as compared to average 15mut/Mb reported in non-CSD melanomas. Shain et al. hypothesized that these differences depend on UV exposure pattern with a chronic sun exposure and solar elastosis associated with higher TMBs (12).

Moreover, together with DNA damage/mutations, sun-exposure induces inflammation that probably favors immunotherapy approaches.

The advent of targeted therapies and immunotherapy in the adjuvant and neo-adjuvant settings brings new issues such as which treatment should be favored in the context of BRAF mutated melanomas (3, 13, 14). According to ASCO 2023 guidelines (15), nivolumab plus ipilimumab followed by nivolumab is now preferred over BRAF/MEK inhibitor therapy for patients with unresectable or metastatic cutaneous melanoma—regardless of BRAF mutation status or TMB.

We believe that the sun-exposure pattern of the primary melanoma, probably correlated with TMB, which is not broadly

<figure><img src="image_7.png" /><figcaption>**FIGURE 4**
Kaplan-Meier estimates of overall survival (OS), each group taken individually, under each first-line treatment (PD-1 inhibitors, green curve; ipilimumab, light brown curve; targeted therapy, purple curve). (A) G1 OS curves; (B) G2 OS curves, (C) G3 OS curves.</figcaption></figure>
available yet, should be integrated as a useful clinical parameter in
future guidelines.

In conclusion, our study suggests, that the sun-exposure pattern
of the site of occurrence of the primary melanoma can significantly
and differentially influence the PFS and OS under PD-1 inhibitors
and targeted therapy. In the future, it may also help treatment
decisions for any UV-induced skin cancer possibly treated with PD-
1/PD-L1 inhibitors vs targeted therapy.

Data availability statement

The raw data supporting the conclusions of this article will be
made available by the authors, without undue reservation.

Ethics statement

The MelBase protocol was approved by French ethics committee (Comité de Protection des Personnes, Île-de-France XI, No. 12027, 2012). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

DR and LB designed and analyzed the study. LB wrote the
manuscript. SD, OD, LM, SD-R, CD, M-TL, DL, HM, EM, JQ, J-PA,
FG, PS, and BD are the clinicians who included patients in this
cohort and collected the data. CA, BO, and WL performed statistical
analysis. CL and LB supervised the study. All authors contributed to
the article and approved the submitted version.

Acknowledgments

The authors wish to thank all patients, family members and staff
from all the units that participated in the study.

Conflict of interest

SD reported receiving financial support from and is a consultant
for BMS, Roche, and is employed by Sanofi with stock ownership.

LM reported receiving financial support from and is a consultant for BMS, Amgen, Merck, Incyte, MSD, Roche, and Novartis. OD reported receiving financial support from and is a consultant for BMS, MSD, Pierre Fabre, Recordati, Genevrier, Kiowa Kirin, Leo Pharma, and Novartis. CA reported receiving financial support from Amgen, BMS, and Roche. J-PA reported receiving financial support from BMS and MSD. SD-R reported receiving financial support from BMS, Novartis and MSD. HM reported receiving financial support from BMS, Novartis, Pierre Fabre, Leo Pharma and MSD. CD reported receiving financial support from BMS, MSD, Pierre Fabre, and Novartis. JQ reported receiving financial support from BMS, Jansen Cilag. DL reported receiving financial support from BMS, MSD, Novartis, Leo Pharma, and Merck. EM reported receiving financial support from BMS, MSD, and Novartis. PS reported receiving financial support from BMS, MSD, Novartis, Roche, and Pierre Fabre. CL reported serving as a consultant for BMS and receiving financial support from BMS, MSD, Roche, Novartis, Amgen, Merck, Pierre Fabre, Pfizer, and Incyte. LB reported receiving financial support from Novartis, Pierre Fabre, Roche, BMS, MSD.

The remaining 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.

Publisher's note

All claims expressed in this article are solely those of the authors
and do not necessarily represent those of their affiliated
organizations, or those of the publisher, the editors and the
reviewers. Any product that may be evaluated in this article, or
claim that may be made by its manufacturer, is not guaranteed or
endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online
at: https://www.frontiersin.org/articles/10.3389/fonc.2023.1250026/
full#supplementary-material

SUPPLEMENTARY FIGURE 1

Kaplan–Meier estimates of progression free survival (PFS: (A, B) and overall survival (OS: (C, D), under first-line combined ipilimumab and nivolumab, for G1 and G2.

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