# Combination of Human Leukocyte Antigen and Killer Cell Immunoglobulin-Like Receptor Genetic Background Influences the Onset Age of Hepatocellular Carcinoma in Male Patients with Hepatitis B Virus Infection

Authors: Ning Pan; Jie Qiu; Hang Sun; Fengqin Miao; Qian Shi; Jinhuan Xu; Wei Jiang; Hui Jin; Wei Xie; Youji He; Jianqiong Zhang
Journal: Clinical and Developmental Immunology
 (2013)

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## Abstract

To investigate whether killer cell immunoglobulin-like receptor(KIR) and human leukocyte antigen (HLA) genetic background could influence the onset age of hepatocellular carcinoma (HCC) in patients with hepatitis B virus (HBV) infection, one hundred and seventy-one males with HBV-related HCC were enrolled. The presence of 12 loci of KIR was detected individually. HLA-A, -B, and -C loci were genotyped with high resolution by a routine sequence-based typing method. The effect of each KIR locus, HLA ligand, and HLA-KIR combination was examined individually by Kaplan-Meier (KM) analysis. Multivariate Cox hazard regression model was also applied. We identified C1C1-KIR2DS2/2DL2 as an independent risk factor for earlier onset age of HCC (median onset age was 44 for C1C1-KIR2DS2/2DL2 positive patients compared to 50 for negative patients, P=0.04 for KM analysis; HR = 1.70, P=0.004 for multivariate Cox model). We conclude that KIR and HLA genetic background can influence the onset age of HCC in male patients with HBV infection. This study may be useful to improve the current HCC surveillance program in HBV-infected patients. Our findings also suggest an important role of natural killer cells (or other KIR-expressing cells) in the progress of HBV-related HCC development.


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## Body

## 1. Introduction

Primary liver cancer, particularly hepatocellular carcinoma (HCC), is the fifth most common cancer worldwide and the third most common cause of cancer mortality. The curative therapy for HCC is surgical resection, for which only the patients with early stage tumor are eligible. However, most cases of HCC patients are detected in their late stages and become ineligible for surgical resection. Globally, more than 50% of HCC are due to persistent hepatitis B virus (HBV) infection. In the hyperendemic areas of HCC, such as China and Africa, chronic HBV infection contributes to at least 80% of HCC cases [1]. Periodic screening for HCC in HBV-infected patients has been practiced widely and been found to be useful in detecting HCC at early stage [2, 3]. However, the current HCC screening is reported as borderline cost effective in the Asia-Pacific region, and the optimal screening program remains to be established [4, 5]. One of the controversial issues is that when to begin this periodic screening in HBV infectors due to a wide variety of onset age of HCC. Knowledge on the factors that influence the onset age of HCC will improve current HCC surveillance program in HBV-infected patients.Accumulating evidence from the last decade suggests that natural killer (NK) cells play an important role not only in controlling viral hepatitis but also in contributing to the pathogenesis of liver injury and inflammation [6]. For example, NK cell activation has been reported to play a critical role in liver inflammation during chronic HBV infection both in HBV transgenic mice and in HBV-infected patients [7–9]. Since persistent inflammation has been recognized as a driving force in HCC genesis [10, 11], NK cell activation may also be involved in HBV-related HCC development.Killer cell immunoglobulin-like receptors(KIR) are involved in the regulation of NK cell activation through recognition of their human leukocyte antigen (HLA) class I ligands. This family of receptors consists of both activating and inhibitory allotypes. KIRs function can be predicted from the length of the cytoplasmic domain, where long receptors (KIR2DL/KIR3DL) are generally inhibitory and all short receptors (KIR2DS/KIR3DS) are activating. For inhibitory KIRs, the major ligands are HLA-C molecules. In terms of KIR recognition, all the allelic variants of HLA-C can be divided into two groups on the basis of alternative amino acids at position 80 of the extracellular domain. HLA-C group 1 alleles (HLA-C1) have an asparagine at position 80, whereas HLA-C group 2 alleles (HLA-C2) have a lysine at this position. KIR2DL1 recognizes HLA-C2 molecules, whereas KIR2DL2 and KIR2DL3 prefer HLA-C1 molecules [12]. Some HLA-B and HLA-A alleles containing a homologous motif termed Bw4 are known to bind to KIR3DL1[13, 14]. Besides, some HLA class I molecules are reported as putative ligands (HLA-C1-KIR2DS2, HLA-C2-KIR2DS1, HLA-Bw4-KIR3DS1, and HLA-A3/A11-KIR3DL2) [15–18].It has been clearly demonstrated that the strength ofHLA-KIR interactions has functional significance and can influence disease susceptibility [19]. We found that the polymorphisms of KIR and HLA class I loci were associated with HCC occurrence in HBV-infected patients in a case-control study [20, 21]. We wondered whether the KIR and HLA genetic background could also influence the onset age of HBV-related HCC. HCC is a disease with a strong male dominance, and male patients usually have earlier onset age compared to female patients [1]. In this study, we focused on males and investigated the influence of KIR and HLA genetic background on the onset age of HBV-related HCC.


## 2. Methods

### 2.1. Patients

One hundred and seventy-one unrelated patients were enrolled from the Second Affiliated Hospital of Southeast University. Among them, 114 patients were enrolled from 2005 to 2007, and 57 patients were enrolled from 2011 to 2012. The patients were selected according to the following criteria: (a) being diagnosed as having primary HCC; (b) being males; (c) hepatitis B surface antigen (HBsAg) being positive for more than six months; (d) having hepatic ultrasonography within the past 12 months before they were diagnosed as having HCC; and (e) being members of Han population and living in the same geographical area. The exclusion criteria include: (a) being positive for other hepatitis viruses serum markers (hepatitis A virus IgM, hepatitis C virus antibody, hepatitis D virus antigen, hepatitis D virus antibody, and hepatitis E virus IgM) and human immunodeficiency virus antibody; (b) having an indication of autoimmune disease. All diagnoses of HCC were defined by clinical and biological criteria and confirmed by imaging technologies (defined as 1 or more tumoral nodules by computed tomography and ultrasonography). Eighty-six patients were also included in our previous case-control study [19]. The protocol was approved by the ethics committee of the Second Affiliated Hospital of Southeast University, and all the patients provided written, informed consent before enrollment.


### 2.2. Extraction of Genomic DNA

Genomic DNA was extracted from peripheral blood mononuclear cells by a standard salting-out method.


### 2.3.KIR Genotyping

PCR amplification with the primers specific for each locus of the following inhibitoryKIR genes: 2DL1, 2DL2, 2DL3, 2DL5, and 3DL1 and activating KIR genes: 2DS1, 2DS2, 2DS3, 2DS4(f)(the full-length form of 2DS4), 2DS4(d)(the 22 bp-deletion mutant form of 2DS4), 2DS5, and3DS1 was performed as described in previous reports [20, 22]. The internal positive control primers for the fragment of the framework gene KIR2DL4 were included in each PCR reaction. All primer sequences and amplification conditions are available upon request.


### 2.4.HLA Genotyping

HLA-A, -B, and -C were genotyped with high resolution by a routine sequence-based typing method [23]. Exons 2 and 3 of HLA-A, HLA-B, and HLA-C loci were amplified from genomic DNA by PCR using the locus-specific primers as described [23]. Sequencing reactions were performed using the BigDye Terminator v3.1 Cycle Sequencing Ready Reaction Kit (Applied Biosystems). Exons 2 and 3 of each locus were sequenced in both forward and reverse directions using a 3730XL DNA Analyzer (Applied Biosystems, Foster City, CA). The sequences were then analyzed using online dbMHC SBT typing tool [24]. One novel HLA class I allele was identified in this population. Nucleotide sequence of new allele has been submitted to the GenBank nucleotide sequence database and is available under the accession number EF468681 [25].


### 2.5. Statistical Methods

The effects of eachKIR locus, HLA ligand, andHLA-KIR combination were examined individually by Kaplan-Meier (KM) analysis. P values were determined using Log Rank test for KM analysis. Univariate Cox proportional hazard regression model was applied to each demographic and clinical variable individually (see Table S3 in Supplementary Material available online at http://dx.doi.org/10.1155/2013/874514). After that, multivariate Cox regression analysis was employed to the genetic factors with P value less than 0.05 and the clinical variables with P value less than 0.5 (Table 4). P values generated through Cox modeling were supported with hazard ratios (HR) and 95% confidence intervals (CI). HLA-C genotype frequencies were checked for Hardy-Weinberg equilibrium using Pearson’s χ2 test. All the median ages were estimated by KM analysis. The final Cox regression model (Table 4) included 161 cases because the genotyping of some loci could not be accomplished for some cases due to lack of DNA. All statistical analyses were performed using SPSS software (Version 11.0 Chicago IL, SPSS Inc.).


## 2.1. Patients

One hundred and seventy-one unrelated patients were enrolled from the Second Affiliated Hospital of Southeast University. Among them, 114 patients were enrolled from 2005 to 2007, and 57 patients were enrolled from 2011 to 2012. The patients were selected according to the following criteria: (a) being diagnosed as having primary HCC; (b) being males; (c) hepatitis B surface antigen (HBsAg) being positive for more than six months; (d) having hepatic ultrasonography within the past 12 months before they were diagnosed as having HCC; and (e) being members of Han population and living in the same geographical area. The exclusion criteria include: (a) being positive for other hepatitis viruses serum markers (hepatitis A virus IgM, hepatitis C virus antibody, hepatitis D virus antigen, hepatitis D virus antibody, and hepatitis E virus IgM) and human immunodeficiency virus antibody; (b) having an indication of autoimmune disease. All diagnoses of HCC were defined by clinical and biological criteria and confirmed by imaging technologies (defined as 1 or more tumoral nodules by computed tomography and ultrasonography). Eighty-six patients were also included in our previous case-control study [19]. The protocol was approved by the ethics committee of the Second Affiliated Hospital of Southeast University, and all the patients provided written, informed consent before enrollment.


## 2.2. Extraction of Genomic DNA

Genomic DNA was extracted from peripheral blood mononuclear cells by a standard salting-out method.


## 2.3.KIR Genotyping

PCR amplification with the primers specific for each locus of the following inhibitoryKIR genes: 2DL1, 2DL2, 2DL3, 2DL5, and 3DL1 and activating KIR genes: 2DS1, 2DS2, 2DS3, 2DS4(f)(the full-length form of 2DS4), 2DS4(d)(the 22 bp-deletion mutant form of 2DS4), 2DS5, and3DS1 was performed as described in previous reports [20, 22]. The internal positive control primers for the fragment of the framework gene KIR2DL4 were included in each PCR reaction. All primer sequences and amplification conditions are available upon request.


## 2.4.HLA Genotyping

HLA-A, -B, and -C were genotyped with high resolution by a routine sequence-based typing method [23]. Exons 2 and 3 of HLA-A, HLA-B, and HLA-C loci were amplified from genomic DNA by PCR using the locus-specific primers as described [23]. Sequencing reactions were performed using the BigDye Terminator v3.1 Cycle Sequencing Ready Reaction Kit (Applied Biosystems). Exons 2 and 3 of each locus were sequenced in both forward and reverse directions using a 3730XL DNA Analyzer (Applied Biosystems, Foster City, CA). The sequences were then analyzed using online dbMHC SBT typing tool [24]. One novel HLA class I allele was identified in this population. Nucleotide sequence of new allele has been submitted to the GenBank nucleotide sequence database and is available under the accession number EF468681 [25].


## 2.5. Statistical Methods

The effects of eachKIR locus, HLA ligand, andHLA-KIR combination were examined individually by Kaplan-Meier (KM) analysis. P values were determined using Log Rank test for KM analysis. Univariate Cox proportional hazard regression model was applied to each demographic and clinical variable individually (see Table S3 in Supplementary Material available online at http://dx.doi.org/10.1155/2013/874514). After that, multivariate Cox regression analysis was employed to the genetic factors with P value less than 0.05 and the clinical variables with P value less than 0.5 (Table 4). P values generated through Cox modeling were supported with hazard ratios (HR) and 95% confidence intervals (CI). HLA-C genotype frequencies were checked for Hardy-Weinberg equilibrium using Pearson’s χ2 test. All the median ages were estimated by KM analysis. The final Cox regression model (Table 4) included 161 cases because the genotyping of some loci could not be accomplished for some cases due to lack of DNA. All statistical analyses were performed using SPSS software (Version 11.0 Chicago IL, SPSS Inc.).


## 3. Results

### 3.1. Patients’ Demographic and Clinical Characteristics (Table1)

Table 1
Demographic and clinical characteristics of 171 male HCC patients.
Number of cases
Percentage
Age of onset†
Median (IQR)‡
50 (42~57)
—
Range
24~74
—
Cirrhosis
142
83.0.%
TNM stage III or IV
63
36.8%
HBsAg positive
171
100%
HBeAg positive
60
35.1%
HBV DNA copy number†§
Mean
2.3
E
+
06
—
Range
0~4.8E+07
—
Family history of HCC
9
5.3%
Family history of HBV-related diseases¶
43
25.1%
Alcohol consumption (≥1 drink per week)
20
11.7%
†Age of first diagnosis for HCC.
‡Age is presented as median, interquartile range (IQR), which are determined by KM estimates.
§70 patients were quantified for HBV DNA when they were diagnosed as HCC.
¶HBV-related diseases include HBV-related hepatitis, cirrhosis, liver failure, and HCC.All HCC patients selected were males with history of chronic hepatitis B, free of other hepatic virus coinfection, and with no indication of autoimmune disease. One hundred and forty-two patients (83.0%) were diagnosed as having cirrhosis, which was consistent with previous reports [26]. Sixty-three patients (36.8%) were at TNM stage III or IV when they were diagnosed as HCC. The HBeAg status and HBV DNA level presented in Table 1 were tested when the patients were diagnosed as having HCC. However, only 70 patients were quantified for HBV DNA in sera when they were diagnosed as having HCC. The onset age value was determined from KM survival-time data, with the 25th, 50th, and 75th percentiles of cancer free survival time being reported. The median onset age, defined as the age at which 50% of the population is cancer free, was 50 years. The distribution of onset ages of HCC is comparable with the recent report in Shanghai population [27].


### 3.2. Association of the Onset Age withKIR Polymorphisms (Table 2)

Table 2
Effects ofKIR genes and genotypes on the onset age of HCC by KM analysis.
KIR gene and genotype
n (%)
Median age
P value
2DL1
Negative
4 (2.3)
45
0.82
Positive
167 (97.7)
50
2DL2
Negative
137 (80.1)
50
0.09
Positive
34 (19.9))
49
2DL3
Negative
4 (2.3)
45
0.81
Positive
167 (97.7))
50
2DL5
Negative
103 (60.2)
50
0.67
Positive
68 (39.8)
50
3DL1
Negative
3 (1.8)
41
0.68
Positive
168 (98.2)
50
2DS1
Negative
109 (63.7)
50
0.49
Positive
62 (36.3)
49
2DS2
Negative
139 (81.3)
50
0.09
Positive
32 (18.7)
50
2DS3
Negative
145 (84.8)
50
0.07
Positive
26 (15.2)
49
2DS4(f)
Negative
28 (16.4)
49
0.83
Positive
143 (83.6)
50
2DS4(d)
Negative
116 (67.8)
50
0.97
Positive
55 (32.2)
49
2DS5
Negative
124 (72.5)
50
0.50
Positive
47 (27.5)
51
3DS1
Negative
108 (63.2)
49
0.98
Positive
63 (36.8)
50
KIR genotype
AA
84 (49.1)
50
0.42
BX
87 (50.9)
50TwelveKIR genes were detected in this population. The result showed that KIR2DL1 (97.7%), KIR2DL3 (97.7%), and KIR3DL1 (98.2%) were present in nearly all individuals. The frequencies of other KIR loci varied from 15.2% to 83.6%. KM analyses were performed on each of the KIR genes individually. No statistical significant result was found on any given KIR locus (Table 2).


### 3.3. Association of the Onset Age withHLA Ligandsand HLA-KIR Combinations

One hundred and forty-nineHLAclass I alleles (37 HLA-A alleles, 60 HLA-B alleles, and 52 HLA-C alleles) were identified in these patients. To explore whether HLA ligands for KIR could influence the onset age of HBV-related HCC, we grouped HLA alleles according to KIR ligand as Bw4, Bw4T, Bw4I, HLA-C1, and HLA-C2. KM analyses were performed on Bw4, Bw4T, Bw4I, HLA-C1C1, HLA-C1C2, andHLA-C2C2 individually. The frequencies of HLA-Cgenotypes were consistent with Hardy-Weinberg equilibrium (P=0.44). Putative ligands of HLA-A3and-A11 were also analyzed. However, no significant result was found (Table S1). Then, we tested the effects of Bw4-KIR ligand-receptor (or putative ligand-receptor) combinations, including Bw4-KIR3DL1, Bw4T-KIR3DL1, Bw4I-KIR3DL1, Bw4-KIR3DS1, Bw4T-KIR3DS1, and Bw4I-KIR3DS1, on the onset age of HCC by KM analysis individually. No significant result was found (Table S2).The effect of eachHLA-C-KIR ligand-receptor (or putative ligand-receptor) combination on the onset age of HCC was then analyzed. There was high linkage disequilibrium in KIR2DS2 and KIR2DL2in our patients as in all populations tested to date (http://www.allelefrequencies.net/). Because our data did not allow to distinguish the effects between C1C1-KIR2DS2 and C1C1-KIR2DL2,we combined C1C1-KIR2DS2 and C1C1-KIR2DL2 as HLA-C1C1+ KIR2DS2 or/and KIR2DL2 (C1C1-KIR2DS2/2DL2). C1C1-KIR2DS2/2DL2 was found to be associated with earlier onset age of HCC (the median age for the C1C1-KIR2DS2/2DL2positive patients was 44 years, compared to 50 years for the C1C1-KIR2DS2/2DL2negative patients, P=0.004). No statistical significance was found on the other HLA-C-KIR ligand-receptor combinations (Table 3).Table 3
Effects ofHLA-C-KIR ligand-receptor combinations on the onset age of HCC by KM analysis.
HLA-KIR combination
n
Median age
P value
C1C1-KIR2DL3
Negative
40
50
0.81
Positive
98
47
C1C2-KIR2DL3
Negative
109
48
0.78
Positive
29
50
C1C2-KIR2DL1
Negative
110
49
0.65
Positive
28
50
C2C2-KIR2DL1
Negative
131
49
0.81
Positive
7
50
C1C1-KIR2DS2/2DL2
Negative
141
50
0.004**
Positive
20
44
C1C2-KIR2DS2/2DL2
Negative
155
49
0.53
Positive
8
53
C1C2-KIR2DS1
Negative
134
50
0.68
Positive
7
50
C2C2-KIR2DS1
Negative
138
50
0.12
Positive
3
43
*
*
P
<
0.01.Table 4
Multivariate Cox model survival analysis ofC1C1+2DS2/2DL2 and other factors on the onset age of HCC.
Factor
P value
HR
95% CI
C1C1+2DS2/2DL2
0.04*
1.70
1.01–2.85
Cirrhosis
0.03
0.59
0.36–0.96
HBeAg positive
0.39
1.19
0.80–1.77
Family history of HBV-related diseases
0.23
1.30
0.85–2.01
*
P
<
0.05.The effects of each demographic and clinical variable (including cirrhosis status, HBeAg status, TNM stage, family history of HBV-related diseases, and alcohol consumption) on the onset age of HCC were tested by univariate Cox model analysis (Table S3). To maintain statistical power, the demographic and clinical variables withP value less than 0.5 were included as the covariables in the multivariate Cox hazard regression model to analyze the effect of C1C1-KIR2DS2/2DL2. The result showed that C1C1-KIR2DS2/2DL2was an independent risk factor for earlier onset age of HCC (HR = 1.70, 95% CI = 1.01–2.85, P=0.04, Table 4).


## 3.1. Patients’ Demographic and Clinical Characteristics (Table1)

Table 1
Demographic and clinical characteristics of 171 male HCC patients.
Number of cases
Percentage
Age of onset†
Median (IQR)‡
50 (42~57)
—
Range
24~74
—
Cirrhosis
142
83.0.%
TNM stage III or IV
63
36.8%
HBsAg positive
171
100%
HBeAg positive
60
35.1%
HBV DNA copy number†§
Mean
2.3
E
+
06
—
Range
0~4.8E+07
—
Family history of HCC
9
5.3%
Family history of HBV-related diseases¶
43
25.1%
Alcohol consumption (≥1 drink per week)
20
11.7%
†Age of first diagnosis for HCC.
‡Age is presented as median, interquartile range (IQR), which are determined by KM estimates.
§70 patients were quantified for HBV DNA when they were diagnosed as HCC.
¶HBV-related diseases include HBV-related hepatitis, cirrhosis, liver failure, and HCC.All HCC patients selected were males with history of chronic hepatitis B, free of other hepatic virus coinfection, and with no indication of autoimmune disease. One hundred and forty-two patients (83.0%) were diagnosed as having cirrhosis, which was consistent with previous reports [26]. Sixty-three patients (36.8%) were at TNM stage III or IV when they were diagnosed as HCC. The HBeAg status and HBV DNA level presented in Table 1 were tested when the patients were diagnosed as having HCC. However, only 70 patients were quantified for HBV DNA in sera when they were diagnosed as having HCC. The onset age value was determined from KM survival-time data, with the 25th, 50th, and 75th percentiles of cancer free survival time being reported. The median onset age, defined as the age at which 50% of the population is cancer free, was 50 years. The distribution of onset ages of HCC is comparable with the recent report in Shanghai population [27].


## 3.2. Association of the Onset Age withKIR Polymorphisms (Table 2)

Table 2
Effects ofKIR genes and genotypes on the onset age of HCC by KM analysis.
KIR gene and genotype
n (%)
Median age
P value
2DL1
Negative
4 (2.3)
45
0.82
Positive
167 (97.7)
50
2DL2
Negative
137 (80.1)
50
0.09
Positive
34 (19.9))
49
2DL3
Negative
4 (2.3)
45
0.81
Positive
167 (97.7))
50
2DL5
Negative
103 (60.2)
50
0.67
Positive
68 (39.8)
50
3DL1
Negative
3 (1.8)
41
0.68
Positive
168 (98.2)
50
2DS1
Negative
109 (63.7)
50
0.49
Positive
62 (36.3)
49
2DS2
Negative
139 (81.3)
50
0.09
Positive
32 (18.7)
50
2DS3
Negative
145 (84.8)
50
0.07
Positive
26 (15.2)
49
2DS4(f)
Negative
28 (16.4)
49
0.83
Positive
143 (83.6)
50
2DS4(d)
Negative
116 (67.8)
50
0.97
Positive
55 (32.2)
49
2DS5
Negative
124 (72.5)
50
0.50
Positive
47 (27.5)
51
3DS1
Negative
108 (63.2)
49
0.98
Positive
63 (36.8)
50
KIR genotype
AA
84 (49.1)
50
0.42
BX
87 (50.9)
50TwelveKIR genes were detected in this population. The result showed that KIR2DL1 (97.7%), KIR2DL3 (97.7%), and KIR3DL1 (98.2%) were present in nearly all individuals. The frequencies of other KIR loci varied from 15.2% to 83.6%. KM analyses were performed on each of the KIR genes individually. No statistical significant result was found on any given KIR locus (Table 2).


## 3.3. Association of the Onset Age withHLA Ligandsand HLA-KIR Combinations

One hundred and forty-nineHLAclass I alleles (37 HLA-A alleles, 60 HLA-B alleles, and 52 HLA-C alleles) were identified in these patients. To explore whether HLA ligands for KIR could influence the onset age of HBV-related HCC, we grouped HLA alleles according to KIR ligand as Bw4, Bw4T, Bw4I, HLA-C1, and HLA-C2. KM analyses were performed on Bw4, Bw4T, Bw4I, HLA-C1C1, HLA-C1C2, andHLA-C2C2 individually. The frequencies of HLA-Cgenotypes were consistent with Hardy-Weinberg equilibrium (P=0.44). Putative ligands of HLA-A3and-A11 were also analyzed. However, no significant result was found (Table S1). Then, we tested the effects of Bw4-KIR ligand-receptor (or putative ligand-receptor) combinations, including Bw4-KIR3DL1, Bw4T-KIR3DL1, Bw4I-KIR3DL1, Bw4-KIR3DS1, Bw4T-KIR3DS1, and Bw4I-KIR3DS1, on the onset age of HCC by KM analysis individually. No significant result was found (Table S2).The effect of eachHLA-C-KIR ligand-receptor (or putative ligand-receptor) combination on the onset age of HCC was then analyzed. There was high linkage disequilibrium in KIR2DS2 and KIR2DL2in our patients as in all populations tested to date (http://www.allelefrequencies.net/). Because our data did not allow to distinguish the effects between C1C1-KIR2DS2 and C1C1-KIR2DL2,we combined C1C1-KIR2DS2 and C1C1-KIR2DL2 as HLA-C1C1+ KIR2DS2 or/and KIR2DL2 (C1C1-KIR2DS2/2DL2). C1C1-KIR2DS2/2DL2 was found to be associated with earlier onset age of HCC (the median age for the C1C1-KIR2DS2/2DL2positive patients was 44 years, compared to 50 years for the C1C1-KIR2DS2/2DL2negative patients, P=0.004). No statistical significance was found on the other HLA-C-KIR ligand-receptor combinations (Table 3).Table 3
Effects ofHLA-C-KIR ligand-receptor combinations on the onset age of HCC by KM analysis.
HLA-KIR combination
n
Median age
P value
C1C1-KIR2DL3
Negative
40
50
0.81
Positive
98
47
C1C2-KIR2DL3
Negative
109
48
0.78
Positive
29
50
C1C2-KIR2DL1
Negative
110
49
0.65
Positive
28
50
C2C2-KIR2DL1
Negative
131
49
0.81
Positive
7
50
C1C1-KIR2DS2/2DL2
Negative
141
50
0.004**
Positive
20
44
C1C2-KIR2DS2/2DL2
Negative
155
49
0.53
Positive
8
53
C1C2-KIR2DS1
Negative
134
50
0.68
Positive
7
50
C2C2-KIR2DS1
Negative
138
50
0.12
Positive
3
43
*
*
P
<
0.01.Table 4
Multivariate Cox model survival analysis ofC1C1+2DS2/2DL2 and other factors on the onset age of HCC.
Factor
P value
HR
95% CI
C1C1+2DS2/2DL2
0.04*
1.70
1.01–2.85
Cirrhosis
0.03
0.59
0.36–0.96
HBeAg positive
0.39
1.19
0.80–1.77
Family history of HBV-related diseases
0.23
1.30
0.85–2.01
*
P
<
0.05.The effects of each demographic and clinical variable (including cirrhosis status, HBeAg status, TNM stage, family history of HBV-related diseases, and alcohol consumption) on the onset age of HCC were tested by univariate Cox model analysis (Table S3). To maintain statistical power, the demographic and clinical variables withP value less than 0.5 were included as the covariables in the multivariate Cox hazard regression model to analyze the effect of C1C1-KIR2DS2/2DL2. The result showed that C1C1-KIR2DS2/2DL2was an independent risk factor for earlier onset age of HCC (HR = 1.70, 95% CI = 1.01–2.85, P=0.04, Table 4).


## 4. Discussion

HCC surveillance in patients with chronic HBV infection has been recommended by various regional liver societies. Hepatic ultrasonography and alpha fetoprotein test every 6 months are the preferred program in China [28]. Although this periodic screening has been practiced widely, its benefits remain uncertain. Therefore, an optimal HCC surveillance program with acceptable cost effectiveness is needed, particularly for at-risk populations [4, 29]. One of the controversial issues is that when to begin this periodic screening in HBV-infected patients. The American Association for Study of Liver Disease recommends that, for noncirrhotic patients with hepatitis B, males above the age of 40 years and females above the age of 50 years are appropriate candidates for HCC surveillance [30]. The Asia-Pacific Association for Study of Liver Disease recommends the HCC surveillance program for high-risk patients with chronic hepatitis B (especially those who aged >30 years with serum HBV DNA levels >20 000 IU/mL) in the absence of a known diagnosis of cirrhosis [5]. The Ministry of Health of the People’s Republic of China recommends lately that, for HBV-infected patients, males above the age of 40 years and females above the age of 50 years are appropriate candidates for HCC surveillance [28]. Knowledge on the factors that influence the age of HCC onset will provide basis for the improvement of the current HCC surveillance programs. HCC occurs mainly in men. Male : female ratios between 3 : 1 and 4 : 1 are reported in East China [1, 20, 27]. In this study, we examined the KIR and HLA genetic background in 171 male patients. We found that the median onset age of HCC was 6 years earlier in patients with a particular HLA-KIR combination of C1C1-KIR2DS2/2DL2 than that of the patients without this combination (Table 4). The patients with C1C1-KIR2DS2/2DL2 accounted for about 12% of this study cohort. Because both KIRgenes and HLA-C1 can be identified by real-time polymerase chain reaction [31], which is economical and time saving, the detection of KIR2DS2/2DL2 and HLA-C1 is easy to be applied in clinical practice. Therefore, this study could help focus early-detection programs to a two-tiered model for greatest cost-benefit ratio.In our previous case-control study, severalKIR and HLA variants, including HLA-C1C1, HLA-Bw4-80I,and KIR2DS4(f)/(d), were identified as the risk factors for HCC development in the patients with HBV infection. Because all of these risk factors we found had been reported to result in high NK cell functional potential, the data strongly suggested that overactivation of NK cell contributed to HBV-related HCC development [20]. The results of current study support the importance of NK cells (or other KIR expressing cells) in the progress of HBV-related HCC development. We could not distinguish the effect between C1C1-2DS2 and C1C1-2DL2because KIR2DS2 and KIR2DL2 were in high linkage disequilibrium.Since KIR2DS2 delivers activating signal while KIR2DL2delivers inhibiting signal, the correlation itself does not indicate the underlying mechanism. However, since there is little biologic difference between KIR2DL2 and KIR2DL3 (KIR2DL2 and KIR2DL3 are alleles of the same locus with the same HLA ligand) and C1C1-2DL3has no effect on onset age of HCC (P=0.81, Table 3), it seems more plausible that the activatingKIR2DS2 is the biologically relevant predictor.According to the full combinations ofHLA-C genotype and KIR2DS2/2DL2, the population can be divided into four groups:(a) C1C1-2DS2/2DL2, (b) C1C1-2DS2/2DL2-, (c) C2-2DS2/2DL2, and (d) C2-2DS2/2DL2-. Besides C1C1-2DS2/2DL2, the effects of other three groups on the onset age were also analyzed. The median onset ages for groups C1C1-2DS2/2DL2-, C2-2DS2/2DL2,and C2-2DS2/2DL2- were 49 years, 53 years, and 49 years, respectively. None of the combinations influenced the onset age of HCC significantly (P=0.75, 0.28, and 0.31 by KM analyses, resp.). The median onset age of C2-2DS2/2DL2 group was 9 years older than that of C1C1-2DS2/2DL2 group (53 years versus 44 years, P=0.03 by KM analysis). This result supports further that KIR and HLA combinations can influence the onset age of HCC.To further refine programs for those at highest risk of unresectable HCC, we explored the association betweenKIR locus, HLA ligand, and HLA-KIR combination with the TNM stages of HCC at diagnosis. However, no statistical significance was found (data not shown).The determination of HCC onset is rather difficult because most HCC patients are asymptomatic at the early stage of HCC. In general, many HBV-infected patients take regular abdomen ultrasonography in a biannual HCC surveillance program or in an annual routine medical examination. To determine the precise onset of HCC, we selected patients who had taken abdomen ultrasonography within the past 12 months before they were diagnosed as HCC, which means that these patients had not developed HCC (or ultrasonography-detectable HCC) one year before their diagnosis. Therefore, the onset of HCC was defined as the time of first diagnosis in this study.Virological factors, such as HBeAg status, HBV viral load, HBV genotype, and HBV mutations, are reported to influence the HCC risk, although few reports concern the onset age of HCC [32]. Population-based cohort studies support that positive for HBeAg associated with increased HCC risk [33, 34]. Our results showed that positive for HBeAg at diagnosis had no influence on the onset age of HCC (HR = 1.17, P=0.38, Table S3). Level of HBV viraemia from the age of 30 years was reported as an independent risk factor for HCC during the next decade [33]. However, the result of univariate Cox analysis showed that the HBV viral load, at their diagnosis as HCC, had no influence on the onset age of HCC in our study population (HR = 1.00, P=0.89, Table S3). HBV genotype C in Asian cohorts [35], genotype F in other populations [36], and some HBV mutations [37] were reported to increase the risk of HCC. One limitation of our study is lack of information of HBV genotype and mutations in the patients.


## 5. Conclusion

The present study shows thatC1C1-2DS2/2DL2 is an independent risk factor for earlier onset age of HCC (Figure 1, Table 4) in male patients with HBV infection. To our knowledge, this is the first report on the association between KIR and HLA genetic background and the onset age of HCC. Our findings may be useful to improve the current HCC surveillance program in local HBV-infected patients. Additionally, this observation along with our previous case-control study suggests an important role of NK cell (or other KIR-expressing cell) in the process of HCC development during HBV infection. Future studies on the mechanism underlying these genetic associations may provide insights for new therapeutic strategies in preventing HCC in HBV-infected patients.Figure 1
The effect ofC1C1-KIR2DS2/2DL2 on the onset age of HCC by KM survival analysis. The plot shows the effect of C1C1-KIR2DS2/2DL2 on the onset age of HCC in males with HBV infection (n=161). C1C1-KIR2DS2/2DL2 positive patients have earlier onset age of HCC (P=0.004).



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*Source: 874514-2013-11-10.xml*