# KIR3DL1 and HLA-Bw4 Interaction Showed a Favorable Role in Patients with Myelodysplastic Syndromes in Chinese Southern Han

Authors: Jian Xin Zhen; Si Qi Cai; Yuan Tao Chen; Zhi Chao Yang; Jia Cai Zhuo; Zhi Hui Deng
Journal: BioMed Research International
 (2020)

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## Abstract

Background. The association studies of killer cell immunoglobulin-like receptors (KIRs) with the occurrence of myelodysplastic syndromes (MDS) are limited worldwide; this study investigated the genetic risk/protective factors of MDS in KIR and human leucocyte antigen (HLA) systems to gain a better understanding of the role played by KIR and their cognate HLA ligands in MDS pathogenesis. Methods. We genotyped a total number of 77 patients with MDS from Chinese Southern Han and 745 healthy controls for the KIR loci and HLA class I. The carrier frequencies of KIR genes, KIR genotypes, class I HLA ligands, and KIR-HLA combinations were calculated by direct counting. The effect of individual KIR genes and HLA ligands on MDS risk was evaluated by logistic regression analyses using SAS 9.2 software. Results. We found that neither the KIR genes nor the KIR genotypes were associated with the occurrence of MDS. However, we observed that the frequencies for the strong inhibitory ligand HLA-Bw4 as well as KIR3DL1-HLA-Bw4 combination were significantly higher in healthy controls than those in the MDS patient group, respectively (73.42% vs. 62.34%, P=0.038; 70.87% vs. 59.74%, P=0.043). Conclusion. Our results showed that HLA-Bw4 ligand and KIR3DL1-HLA-Bw4 combination could confer a protective effect against MDS in Chinese Southern Han.


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## Body

## 1. Introduction

Natural killer (NK) cells are a key component of the innate immune system and play an important role in antitumor surveillance [1]. The response and function of NK cells are regulated by killer cell immunoglobulin-like receptors (KIRs) that are expressed on both NK cells and some T cell subsets. The KIR gene cluster on human chromosome 19 consists of 14 functional KIR genes (KIR2DL1~5, 2DS1~5, 3DL1~3, and 3DS1) and two pseudogenes (KIR2DP1 and 3DP1) and inherited as haplotype A or B. The difference between them is that KIR A have a fix gene group of more inhibitory genes and only activating gene KIR2DS4, whereas haplotype B represents a diverse group of haplotypes with variable numbers of activating KIR genes [2].The function of KIR on NK cells is dependent on the normal expression of class I HLA ligands on the target cell. The partnership between some of the inhibitory KIRs and their HLA ligands is well established. The two domain inhibitory KIRs KIR2DL1, 2DL2/3 bind HLA-C2 (C allotypes with lysine at residue 80) and HLA-C1 (C allotypes with asparagine at residue 80), respectively. KIR3DL1 recognizes HLA-A and HLA-B allotypes with the Bw4 motif (defined by residues 77-83), and Bw4 can be further divided into allotypes with isoleucine at position 80 (Bw4-80I) and those with threonine at this position (Bw4-80T). KIR3DL2 recognizes HLA-A3 and A11. Less is known about the activating KIR ligands, though KIR2DS1 and KIR2DS5 are known to bind C2+HLA-C, albeit with lower affinity than KIR2DL1 [3, 4].In recent years, the clinical significance of the increasingly recognizedKIR polymorphism in tumor, infectious disease, and transplantation has drawn extensive interest. Myelodysplastic syndromes (MDS), which were first described as “preleukemia” by Block et al. in 1953 [5], are a heterogeneous group of clonal hematopoietic stem cell malignancies characterized by ineffective hematopoiesis and peripheral blood cytopenias, and patients typically have a hypercellular bone marrow [6, 7]. Approximately 40% of MDS patients frequently evolve into acute myeloid leukemia (AML) [6, 7]. In our previous study, the decreased frequencies of KIR AA genotype were found in three subtypes of leukemia when compared to healthy controls: acute lymphoblastic leukemia (ALL, OR=0.68, 95%CI=0.52‐0.89, P=0.004), AML (OR=0.76, 95%CI=0.59‐0.98, P=0.034), and chronic myeloid leukemia (CML, OR=0.72, 95%CI=0.51‐1.01, ns). We also observed the similar trend for non-Hodgkin’s lymphoma (NHL, OR=0.47, 95%CI=0.26‐0.88, P=0.017), which implied that the KIR AA genotype could confer differential protection against ALL, AML, CML, and NHL in Chinese Southern Han [8]. Whether KIR AA genotype that carried more KIR inhibitory genes might play a similar role in immune surveillance of MDS? The present study investigated the frequencies of KIR genes, KIR genotypes, class I HLA ligands, and KIR-HLA combinations with an aim to provide clues for better understanding pathogenesis of MDS in Chinese Southern Han.


## 2. Materials and Methods

### 2.1. Study Subjects

This study consisted of 77 patients with MDS (mean age: 35.7, range 18-84 years) and 745 healthy unrelated individuals. Samples for patients with MDS were consecutively enrolled and randomly selected from cases for the hematopoietic stem cell transplantation (HSCT) program in the immunogenetics laboratory of Shenzhen Blood Center during the period of August 2008 to June 2018. Diagnosis of MDS followed the World Health Organization Classification [9, 10].The healthy control group (n=745) was recruited from blood volunteer donors with a mean age of 32.7 (range18-55 years) in Shenzhen Blood Center, China. The age range is equivalent to the case group. Written informed consent was obtained from each donor. 5 mL EDTA anticoagulated peripheral blood was collected and stored at -20°C.


### 2.2. Genomic DNA Isolation

Genomic DNA was prepared from peripheral blood using a MagCore Nudeic Acid Extractor (MagCore, Taiwan, China). DNA was extracted from 0.4 mL of whole blood anticoagulated with 5% EDTA. The concentration of each DNA sample was adjusted to 50-100 ng/μL.


### 2.3. KIR Genotyping

The presence or absence ofKIR genes was determined by using polymerase chain reaction with sequence-specific primer (PCR-SSP), using the KIR-Ready Gene kit (inno-train Diagnostik GmbH, Germany). The PCR products were electrophoresed on a 2% agarose gel and visualized under ultraviolet light. KIR haplotype A and B were defined based on the presence or absence of specific KIR genes, as previously described [2].


### 2.4. HLA High-Resolution Genotyping

HLA-A, HLA-B, and HLA-C high-resolution typing was performed by using the AlleleSEQR HLA SBT kit (Atria Genetics, San Francisco) following the instruction. Exons 2, 3, and 4 of HLA-A, HLA-B, and HLA-C were sequenced on an ABI 3730XL DNA sequencer (Applied Biosystems, Foster City, CA, USA). Exons 5 and 6 of HLA-C locus were also sequenced when necessary. Four-digit HLA genotypes were assigned using the ASSIGN 4.7 software (Conexio Genomics, Applecross, Australia). HLA-B and HLA-C allotypes were then grouped according to their KIR-binding motifs (HLA-Bw4 from HLA-Bw6 and HLA-C1 from HLA-C2).


### 2.5. Statistical Analysis

Carrier frequency forHLA ligands and KIR genes was calculated by direct counting. The effect of individual KIR and HLA ligands on disease outcome was evaluated by logistic regression analyses using SAS 9.2 (SAS Institute). PROC LOGISTIC was used to obtain odds ratios and the 95% confidence intervals. The statistical significance refers to two-sided P values of <0.05.


## 2.1. Study Subjects

This study consisted of 77 patients with MDS (mean age: 35.7, range 18-84 years) and 745 healthy unrelated individuals. Samples for patients with MDS were consecutively enrolled and randomly selected from cases for the hematopoietic stem cell transplantation (HSCT) program in the immunogenetics laboratory of Shenzhen Blood Center during the period of August 2008 to June 2018. Diagnosis of MDS followed the World Health Organization Classification [9, 10].The healthy control group (n=745) was recruited from blood volunteer donors with a mean age of 32.7 (range18-55 years) in Shenzhen Blood Center, China. The age range is equivalent to the case group. Written informed consent was obtained from each donor. 5 mL EDTA anticoagulated peripheral blood was collected and stored at -20°C.


## 2.2. Genomic DNA Isolation

Genomic DNA was prepared from peripheral blood using a MagCore Nudeic Acid Extractor (MagCore, Taiwan, China). DNA was extracted from 0.4 mL of whole blood anticoagulated with 5% EDTA. The concentration of each DNA sample was adjusted to 50-100 ng/μL.


## 2.3. KIR Genotyping

The presence or absence ofKIR genes was determined by using polymerase chain reaction with sequence-specific primer (PCR-SSP), using the KIR-Ready Gene kit (inno-train Diagnostik GmbH, Germany). The PCR products were electrophoresed on a 2% agarose gel and visualized under ultraviolet light. KIR haplotype A and B were defined based on the presence or absence of specific KIR genes, as previously described [2].


## 2.4. HLA High-Resolution Genotyping

HLA-A, HLA-B, and HLA-C high-resolution typing was performed by using the AlleleSEQR HLA SBT kit (Atria Genetics, San Francisco) following the instruction. Exons 2, 3, and 4 of HLA-A, HLA-B, and HLA-C were sequenced on an ABI 3730XL DNA sequencer (Applied Biosystems, Foster City, CA, USA). Exons 5 and 6 of HLA-C locus were also sequenced when necessary. Four-digit HLA genotypes were assigned using the ASSIGN 4.7 software (Conexio Genomics, Applecross, Australia). HLA-B and HLA-C allotypes were then grouped according to their KIR-binding motifs (HLA-Bw4 from HLA-Bw6 and HLA-C1 from HLA-C2).


## 2.5. Statistical Analysis

Carrier frequency forHLA ligands and KIR genes was calculated by direct counting. The effect of individual KIR and HLA ligands on disease outcome was evaluated by logistic regression analyses using SAS 9.2 (SAS Institute). PROC LOGISTIC was used to obtain odds ratios and the 95% confidence intervals. The statistical significance refers to two-sided P values of <0.05.


## 3. Results

### 3.1. Comparison Analysis for KIR Genes and Genotypes

The presence of individualKIR genes did not associate significantly with risk of MDS. We further tested the distribution of the KIR AA vs. Bx genotypes (x represents haplotype A or B) in patients and controls; the frequency of KIR AA showed no significant difference between the healthy controls and the MDS patients (55.30% vs. 51.95%, P=0.573; Table 1 and Figure 1).Table 1
Comparison analysis forKIR genes and KIR AA genotype between MDS patients and controls in Chinese Southern Han∗.
Patientsn (%)
Controlsn (%)
OR (95% CI)
P
2DL1
77 (100)
739 (99.19)
/
/
2DL2
19 (24.68)
157 (21.07)
1.227 (0.710-2.121)
0.463
2DL3
76 (98.70)
733 (98.39)
1.244 (0.160-9.700)
1.000
2DL5
31 (40.26)
279 (37.45)
1.126 (0.697-1.817)
0.628
2DS1
27 (35.06)
238 (31.95)
1.150 (0.703-1.883)
0.577
2DS2
20 (25.97)
157 (21.07)
1.314 (0.767-2.253)
0.319
2DS3
19 (24.68)
130 (17.45)
1.550 (0.893-2.690)
0.117
2DS4
73 (94.81)
720 (96.64)
0.634 (0.215-1.871)
0.510
2DS5
17 (22.08)
173 (23.22)
0.937 (0.533-1.648)
0.821
3DL1
73 (94.81)
720 (96.64)
0.634 (0.215-1.871)
0.510
3DS1
26 (33.77)
247 (33.15)
1.028 (0.626-1.688)
0.914
2DP1
77 (100.00)
740 (99.33)
/
/
KIR AA
40 (51.95)
412 (55.30)
0.874 (0.546-1.398)
0.573
∗Note: the observed frequencies for the four framework KIR genes (2DL4, 3DL2, 3DL3, and 3DP1) were all 100% in the patients and healthy controls. Thus, these framework KIR genes were not included in this table.Figure 1
Comparison analysis forKIR AA genotype between MDS patients and controls, there was no significant difference (P>0.05).


### 3.2. Comparison Analysis for HLA Ligands and KIR/HLA Combinations

Understanding the role of KIR in MDS was also refined further by considering the class I HLA ligands for KIR in the analysis. There was no significant difference in the frequency distribution ofHLA-C1/C2 genotype. However, the frequencies of strong inhibitory ligand HLA-Bw4 and KIR3DL1-HLA-Bw4 combination were significantly higher in healthy controls than those in MDS patients, respectively (HLA-Bw4: 73.42% vs. 62.34%, P=0.038; KIR3DL1-HLA-Bw4: 70.87% vs. 59.74%, P=0.043). Dividing Bw4 allotypes into Bw4-80I and Bw4-80T, the significant differences remained in HLA-Bw4-80I and KIR3DL1-HLA-Bw4-80I (HLA-Bw4-80I: 54.23% vs. 40.26%, P=0.019; KIR3DL1-HLA-Bw4-80I: 52.62% vs. 37.66%, P=0.012), but not in HLA-Bw4-80T and KIR3DL1-HLA-Bw4-80T. No significant difference was observed for other class I HLA ligands or KIR-HLA combinations between MDS patients and healthy controls (Table 2).Table 2
Comparison analysis forclass I HLA ligands and KIR-HLA combinations between MDS patients and controls.
Patientsn (%)
Controlsn (%)
OR (95% CI)
P
HLA ligands
C1/C1 vs.
52 (72.22)
520 (72.22)
1.000 (0.582-1.718)
1.000
C1/C2
20 (27.78)
200 (27.78)
C1/C1 vs.
52 (92.86)
520 (97.38)
0.350 (0.111-1.102)
0.810
C2/C2
4 (7.14)
14 (2.62)
C1/C2 vs.
20 (83.33)
200 (93.46)
0.350 (0.105-1.165)
0.092
C2/C2
4 (16.67)
14 (6.54)
C1+∗vs.
72 (94.74)
720 (98.09)
0.350 (0.112-1.091)
0.079
C2/C2
4 (5.26)
14 (1.91)
C2+∗∗vs.
24 (31.58)
214 (29.16)
1.121 (0.674-1.866)
0.659
C1/C1
52 (68.42)
520 (70.84)
Bw4 vs.
48 (62.34)
547 (73.42)
0.599 (0.367-0.977)
0.038
Others
29 (37.66)
198 (26.58)
Bw4-80I vs.
31 (40.26)
404 (54.23)
0.569 (0.353-0.917)
0.019
Others
46 (59.74)
341 (45.77)
Bw4-80T vs.
27 (35.06)
246 (33.02)
1.095 (0.669-1.792)
0.717
Others
50 (64.94)
499 (66.98)
A3/A11
49 (63.64)
450 (60.57)
1.139 (0.700-1.854)
0.599
Others
28 (36.36)
293 (39.43)
KIR-HLA combinations
3DL1-Bw4 vs.
46 (59.74)
528 (70.87)
0.610 (0.377-0.988)
0.043
Others
31 (40.26)
217 (29.13)
3DL1-Bw4-80I vs.
29 (37.66)
392 (52.62)
0.544 (0.336-0.882)
0.012
Others
48 (62.34)
353 (47.38)
3DL1-Bw4-80T vs.
22 (28.57)
238 (31.95)
0.852 (0.508-1.430)
0.544
Others
55 (71.43)
507 (68.05)
3DS1-Bw4 vs.
16 (20.78)
166 (22.28)
0.915 (0.514-1.629)
0.762
Others
61 (79.22)
579 (77.72)
2DL1-C2 vs.
24 (31.58)
213 (29.02)
1.129 (0.678-1.879)
0.641
Others
52 (68.42)
521 (70.98)
2DS1-C2 vs.
8 (10.53)
70 (9.54)
1.116 (0.515-2.417)
0.781
Others
68 (89.47)
664 (90.46)
2DL2-C1 vs.
18 (23.68)
154 (20.98)
1.169 (0.669-2.042)
0.583
Others
58 (76.32)
580 (79.02)
2DL3-C1 vs.
71 (93.42)
709 (96.59)
0.501 (0.186-1.348)
0.190
Others
5 (6.58)
25 (3.41)
2DS2-C1 vs.
18 (23.68)
154 (20.98)
1.169 (0.669-2.042)
0.583
Others
58 (76.32)
580 (79.02)
Note:∗C1+ includes C1/C1 and C1/C2 genotypes, ∗∗C2+ includes C1/C2 and C2/C2 genotypes.


## 3.1. Comparison Analysis for KIR Genes and Genotypes

The presence of individualKIR genes did not associate significantly with risk of MDS. We further tested the distribution of the KIR AA vs. Bx genotypes (x represents haplotype A or B) in patients and controls; the frequency of KIR AA showed no significant difference between the healthy controls and the MDS patients (55.30% vs. 51.95%, P=0.573; Table 1 and Figure 1).Table 1
Comparison analysis forKIR genes and KIR AA genotype between MDS patients and controls in Chinese Southern Han∗.
Patientsn (%)
Controlsn (%)
OR (95% CI)
P
2DL1
77 (100)
739 (99.19)
/
/
2DL2
19 (24.68)
157 (21.07)
1.227 (0.710-2.121)
0.463
2DL3
76 (98.70)
733 (98.39)
1.244 (0.160-9.700)
1.000
2DL5
31 (40.26)
279 (37.45)
1.126 (0.697-1.817)
0.628
2DS1
27 (35.06)
238 (31.95)
1.150 (0.703-1.883)
0.577
2DS2
20 (25.97)
157 (21.07)
1.314 (0.767-2.253)
0.319
2DS3
19 (24.68)
130 (17.45)
1.550 (0.893-2.690)
0.117
2DS4
73 (94.81)
720 (96.64)
0.634 (0.215-1.871)
0.510
2DS5
17 (22.08)
173 (23.22)
0.937 (0.533-1.648)
0.821
3DL1
73 (94.81)
720 (96.64)
0.634 (0.215-1.871)
0.510
3DS1
26 (33.77)
247 (33.15)
1.028 (0.626-1.688)
0.914
2DP1
77 (100.00)
740 (99.33)
/
/
KIR AA
40 (51.95)
412 (55.30)
0.874 (0.546-1.398)
0.573
∗Note: the observed frequencies for the four framework KIR genes (2DL4, 3DL2, 3DL3, and 3DP1) were all 100% in the patients and healthy controls. Thus, these framework KIR genes were not included in this table.Figure 1
Comparison analysis forKIR AA genotype between MDS patients and controls, there was no significant difference (P>0.05).


## 3.2. Comparison Analysis for HLA Ligands and KIR/HLA Combinations

Understanding the role of KIR in MDS was also refined further by considering the class I HLA ligands for KIR in the analysis. There was no significant difference in the frequency distribution ofHLA-C1/C2 genotype. However, the frequencies of strong inhibitory ligand HLA-Bw4 and KIR3DL1-HLA-Bw4 combination were significantly higher in healthy controls than those in MDS patients, respectively (HLA-Bw4: 73.42% vs. 62.34%, P=0.038; KIR3DL1-HLA-Bw4: 70.87% vs. 59.74%, P=0.043). Dividing Bw4 allotypes into Bw4-80I and Bw4-80T, the significant differences remained in HLA-Bw4-80I and KIR3DL1-HLA-Bw4-80I (HLA-Bw4-80I: 54.23% vs. 40.26%, P=0.019; KIR3DL1-HLA-Bw4-80I: 52.62% vs. 37.66%, P=0.012), but not in HLA-Bw4-80T and KIR3DL1-HLA-Bw4-80T. No significant difference was observed for other class I HLA ligands or KIR-HLA combinations between MDS patients and healthy controls (Table 2).Table 2
Comparison analysis forclass I HLA ligands and KIR-HLA combinations between MDS patients and controls.
Patientsn (%)
Controlsn (%)
OR (95% CI)
P
HLA ligands
C1/C1 vs.
52 (72.22)
520 (72.22)
1.000 (0.582-1.718)
1.000
C1/C2
20 (27.78)
200 (27.78)
C1/C1 vs.
52 (92.86)
520 (97.38)
0.350 (0.111-1.102)
0.810
C2/C2
4 (7.14)
14 (2.62)
C1/C2 vs.
20 (83.33)
200 (93.46)
0.350 (0.105-1.165)
0.092
C2/C2
4 (16.67)
14 (6.54)
C1+∗vs.
72 (94.74)
720 (98.09)
0.350 (0.112-1.091)
0.079
C2/C2
4 (5.26)
14 (1.91)
C2+∗∗vs.
24 (31.58)
214 (29.16)
1.121 (0.674-1.866)
0.659
C1/C1
52 (68.42)
520 (70.84)
Bw4 vs.
48 (62.34)
547 (73.42)
0.599 (0.367-0.977)
0.038
Others
29 (37.66)
198 (26.58)
Bw4-80I vs.
31 (40.26)
404 (54.23)
0.569 (0.353-0.917)
0.019
Others
46 (59.74)
341 (45.77)
Bw4-80T vs.
27 (35.06)
246 (33.02)
1.095 (0.669-1.792)
0.717
Others
50 (64.94)
499 (66.98)
A3/A11
49 (63.64)
450 (60.57)
1.139 (0.700-1.854)
0.599
Others
28 (36.36)
293 (39.43)
KIR-HLA combinations
3DL1-Bw4 vs.
46 (59.74)
528 (70.87)
0.610 (0.377-0.988)
0.043
Others
31 (40.26)
217 (29.13)
3DL1-Bw4-80I vs.
29 (37.66)
392 (52.62)
0.544 (0.336-0.882)
0.012
Others
48 (62.34)
353 (47.38)
3DL1-Bw4-80T vs.
22 (28.57)
238 (31.95)
0.852 (0.508-1.430)
0.544
Others
55 (71.43)
507 (68.05)
3DS1-Bw4 vs.
16 (20.78)
166 (22.28)
0.915 (0.514-1.629)
0.762
Others
61 (79.22)
579 (77.72)
2DL1-C2 vs.
24 (31.58)
213 (29.02)
1.129 (0.678-1.879)
0.641
Others
52 (68.42)
521 (70.98)
2DS1-C2 vs.
8 (10.53)
70 (9.54)
1.116 (0.515-2.417)
0.781
Others
68 (89.47)
664 (90.46)
2DL2-C1 vs.
18 (23.68)
154 (20.98)
1.169 (0.669-2.042)
0.583
Others
58 (76.32)
580 (79.02)
2DL3-C1 vs.
71 (93.42)
709 (96.59)
0.501 (0.186-1.348)
0.190
Others
5 (6.58)
25 (3.41)
2DS2-C1 vs.
18 (23.68)
154 (20.98)
1.169 (0.669-2.042)
0.583
Others
58 (76.32)
580 (79.02)
Note:∗C1+ includes C1/C1 and C1/C2 genotypes, ∗∗C2+ includes C1/C2 and C2/C2 genotypes.


## 4. Discussion

Besides an activated state of the adaptive immune system by increased percentages of activated T cells and decreased frequencies of regulatory T cells, innate immune responses play an important role in immune surveillance of MDS [11, 12]. Increased malignant clones and cellular immunodeficiency contribute to the pathogenesis of MDS. Cytotoxic T lymphocytes play a central role in antitumor immunity, but unfortunately often exhibit exhaustion induced by myeloid-derived suppressor cells in MDS patients through the TIM3/Gal-9 pathway [13]. NK cells mediate cytotoxicity of bone marrow precursor cells in low-risk MDS. Increased NK-cell frequencies were observed in low-risk MDS as compared to high-risk MDS [12]. Moreover, NK cells of MDS patients expressed increased levels of cytotoxic granules with granzyme B, the most important cytokines in NK cells against infectious and malignant cells [11]. Up to 90% autologous cytotoxicity against aberrant hematopoietic precursor cells was not HLA class I restricted but NK cell dependent [11]. NK cell-deficient patients were predominantly found in high-risk MDS, and deficiency of NK cells was strongly associated with poor prognosis [14].Polymorphic inhibitory receptors educate NK cells, enabling them to kill tumors or infected cells having altered or reduced HLA class I expression [8]. In the present study, we found that the strong inhibitory HLA-Bw4 ligand and KIR3DL1-HLA-Bw4 combination could confer a protective effect against MDS in Chinese Southern Han; KIR AA genotype was not associated with the occurrence of MDS. In our previous Chinese leukemia research, KIR AA genotype appeared to protect against three major leukemia types, but HLA-Bw4 ligand and KIR3DL1-HLA-Bw4 combination were not associated with Chinese leukemia [8]. Interestingly, a recent study from Stringaris et al. demonstrated that KIR haplotype A was an independent risk factor for the progression of MDS to AML [15]; patients with haplotype A had worse adjusted progression-free survival (RR=2.96, P=0.001) and overall survival (RR=2.25, P=0.02) compared with KIR haplotype B, which seemed deceptively paradoxical to our present results. Unlike the study of Stringaris et al., the present study had not investigated the risk/protective factors for progression of MDS to AML but focused on the association of KIR receptors and their cognate ligands with the occurrence of MDS. The differential effect played by KIR AA genotype in the above three studies might be partly resulted from the distinct maturation stages and the nonoverlapping subsets of lineage markers and fusion proteins, such as HLA class I molecules, expressed by various myeloid neoplasms [16–18]. HLA class I expression was normally expressed in CD34+ blasts and during myeloid differentiation in MDS patients; however, the copy-neutral loss of heterozygosity in the HLA region appeared to favor MDS progression to AML and selective downregulation of HLA class I enhanced KIR AA protection against different leukemia types [18–21].Although no MDS patient showed total loss of HLA class I expression on CD34+ cells in peripheral blood, the HLA class I expression on dysplastic CD34+ cells was significantly lower in MDS patients than that in healthy controls (P=0.002) [18]. A loss of heterozygosity in the HLA region may be as another possible immunoevasion mechanism in advanced cases of MDS [19]. These specific alterations can result in the inefficient presentation of immunodominant antigens to cytotoxic T lymphocytes but offer a necessary condition for NK cell-mediated immune response. The present study showed that the frequencies of both HLA-Bw4 and KIR3DL1-HLA-Bw4 significantly decreased in MDS patients. Because individual HLA allotypes belonging to the HLA-Bw4 group recognize distinct peptide motifs, it is unlikely that common peptide recognition explains the protection conferred by HLA-Bw4, which suggest that as the ligand for KIR3DL1, HLA-Bw4 protection against MDS probably has to do with NK cell-mediated immune response [22]. Base on NK cell education and “missing-self” recognition, we speculate that mature NK cell subsets that express inhibitory KIR3DL1 for self-HLA-Bw4 ligand may have greater activation potential when the inhibitory signal is interrupted through interactions with HLA-deficient cells such as dysplastic CD34+ cells, which may explain the candidate mechanism of a protective effect on MDS conferred by KIR3DL1-HLA-Bw4 in Chinese Southern Han. It has been well established that HLA-Bw4-80I serves as a much more efficient ligand for KIR3DL1 than HLA-Bw4-80T. Our results also revealed that HLA-Bw4-80I and KIR3DL1-HLA-Bw4-80I could confer a protective effect against MDS in Chinese Southern Han.Owing to the low incidence of MDS in the general population reported as five new MDS diagnoses per 100,000 people [23], one limitation of this paper is that only 77 MDS patients have been included in the case group during the past ten years. In the follow-up research, it is necessary to expand the sample size of the MDS patient group and verify the function of NK cells in vitro.


## 5. Conclusions

The present study demonstrated that HLA-Bw4 (ligand for KIR3DL1) and the strong inhibitory KIR3DL1-HLA-Bw4 combination could confer a protective effect against MDS in Chinese Southern Han. The findings can provide valuable clues for better understanding pathogenesis of MDS in Chinese Southern Han.



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*Source: 6215435-2020-04-30.xml*