Jiang Y

A genome-wide association study identifies two new lung cancer susceptibility loci at 13q12.12 and 22q12.2 in Han Chinese

Lung cancer is the leading cause of cancer-related deaths worldwide. To identify genetic factors that modify the risk of lung cancer in individuals of Chinese ancestry, we performed a genome-wide association scan in 5,408 subjects (2,331 individuals with lung cancer (cases) and 3,077 controls) followed by a two-stage validation among 12,722 subjects (6,313 cases and 6,409 controls). The combined analyses identified six well-replicated SNPs with independent effects and significant lung cancer associations (P < 5.0 × 10−8) located in TP63 (rs4488809 at 3q28, P = 7.2 × 10−26), TERT-CLPTM1L (rs465498 and rs2736100 at 5p15.33, P = 1.2 × 10−20 and P = 1.0 × 10−27, respectively), MIPEP-TNFRSF19 (rs753955 at 13q12.12, P = 1.5 × 10−12) and MTMR3-HORMAD2-LIF (rs17728461 and rs36600 at 22q12.2, P = 1.1 × 10−11 and P = 6.2 × 10−13, respectively). Two of these loci (13q12.12 and 22q12.2) were newly identified in the Chinese population. These results suggest that genetic variants in 3q28, 5p15.33, 13q12.12 and 22q12.2 may contribute to the susceptibility of lung cancer in Han Chinese.

A genome-wide association study identifies new susceptibility loci for non-cardia gastric cancer at 3q13.31 and 5p13.1

Gastric cancer, including the cardia and non-cardia types, is the second leading cause of cancer-related deaths worldwide. To identify genetic risk variants for non-cardia gastric cancer, we performed a genome-wide association study in 3,279 individuals (1,006 with non-cardia gastric cancer and 2,273 controls) of Chinese descent. We replicated significant associations in an additional 6,897 subjects (3,288 with non-cardia gastric cancer and 3,609 controls). We identified two new susceptibility loci for non-cardia gastric cancer at 5p13.1 (rs13361707 in the region including PTGER4 and PRKAA1; odds ratio (OR) = 1.41; P = 7.6 × 10−29) and 3q13.31 (rs9841504 in ZBTB20; OR = 0.76; P = 1.7 × 10−9). Imputation analyses also confirmed previously reported associations of rs2294008 and rs2976392 on 8q24, rs4072037 on 1q22 and rs13042395 on 20p13 with non-cardia gastric cancer susceptibility in the Han Chinese population.

A genome-wide association study in Chinese men identifies three risk loci for non-obstructive azoospermia

Non-obstructive azoospermia (NOA) is one of the most severe forms of male infertility. Its pathophysiology is largely unknown, and few genetic influences have been defined. To identify common variants contributing to NOA in Han Chinese men, we performed a three-stage genome-wide association study of 2,927 individuals with NOA and 5,734 controls. The combined analyses identified significant (P < 5.0 × 10−8) associations between NOA risk and common variants near PRMT6 (rs12097821 at 1p13.3: odds ratio (OR) = 1.25, P = 5.7 × 10−10), PEX10 (rs2477686 at 1p36.32: OR = 1.39, P = 5.7 × 10−12) and SOX5 (rs10842262 at 12p12.1: OR = 1.23, P = 2.3 × 10−9). These findings implicate genetic variants at 1p13.3, 1p36.32 and 12p12.1 in the etiology of NOA in Han Chinese men.

Association analyses identify multiple new lung cancer susceptibility loci and their interactions with smoking in the Chinese population

To find additional susceptibility loci for lung cancer, we tested promising associations from our previous genome-wide association study (GWAS) of lung cancer in the Chinese population in an extended validation sample size of 7,436 individuals with lung cancer (cases) and 7,483 controls. We found genome-wide significant (P < 5.0 × 10−8) evidence for three additional lung cancer susceptibility loci at 10p14 (rs1663689, close to GATA3, P = 2.84 × 10−10), 5q32 (rs2895680 in PPP2R2B-STK32A-DPYSL3, P = 6.60 × 10−9) and 20q13.2 (rs4809957 in CYP24A1, P = 1.20 × 10−8). We also found consistent associations for rs247008 at 5q31.1 (IL3-CSF2-P4HA2, P = 7.68 × 10−8) and rs9439519 at 1p36.32 (AJAP1-NPHP4, P = 3.65 × 10−6). Four of these loci showed evidence for interactions with smoking dose (P = 1.72 × 10−10, P = 5.07 × 10−3, P = 6.77 × 10−3 and P = 4.49 × 10−2 for rs2895680, rs4809957, rs247008 and rs9439519, respectively). These results advance our understanding of lung cancer susceptibility and highlight potential pathways that integrate genetic variants and smoking in the development of lung cancer.

Plasma miRNAs as early biomarkers for detecting hepatocellular carcinoma.

The early detection of hepatocellular carcinoma (HCC) presents a challenge because of the lack of specific biomarkers. Serum/plasma microRNAs (miRNAs) can discriminate HCC patients from controls. We aimed to identify and evaluate HCC‐associated plasma miRNAs originating from the liver as early biomarkers for detecting HCC. In this multicenter three‐phase study, we first performed screening using both plasma (HCC before and after liver transplantation or liver hepatectomy) and tissue samples (HCC, para‐carcinoma and cirrhotic tissues). Then, we evaluated the diagnostic potential of the miRNAs in two case–control studies (training and validation sets). Finally, we used two prospective cohorts to test the potential of the identified miRNAs for the early detection of HCC. During the screening phase, we identified ten miRNAs, eight of which (miR‐20a‐5p, miR‐25‐3p, miR‐30a‐5p, miR‐92a‐3p, miR‐132‐3p, miR‐185‐5p, miR‐320a and miR‐324‐3p) were significantly overexpressed in the HBV‐positive HCC patients compared with the HBV‐positive cancer‐free controls in both the training and validation sets, with a sensitivity of 0.866 and specificity of 0.646. Furthermore, we assessed the potential for early HCC detection of these eight newly identified miRNAs and three previously reported miRNAs (miR‐192‐5p, miR‐21‐5p and miR‐375) in two prospective cohorts. Our meta‐analysis revealed that four miRNAs (miR‐20a‐5p, miR‐320a, miR‐324‐3p and miR‐375) could be used as preclinical biomarkers (pmeta < 0.05) for HCC. The expression profile of the eight‐miRNA panel can be used to discriminate HCC patients from cancer‐free controls, and the four‐miRNA panel (alone or combined with AFP) could be a blood‐based early detection biomarker for HCC screening.

Evolutionary patterns of hepatitis B virus quasispecies under different selective pressures: correlation with antiviral efficacy

Objective To investigate the evolution of hepatitis B virus (HBV) quasispecies (QS) within the reverse transcriptase (RT) region during the early stage of entecavir treatment and its impact on virological response, and to compare evolutionary patterns under different selective pressures. Methods 31 patients with chronic hepatitis B receiving entecavir (17 responders and 14 partial responders according to the HBV DNA levels at week 48) and 25 patients receiving lamivudine (14 responders and 11 non-responders) as controls were included. An average of 26 clones (2892 total from both groups) spanning the RT region per sample was sequenced. Results QS complexity and diversity, in addition to alanine aminotransferase and HBV DNA levels, were comparable between responders and partial responders at baseline. However, QS complexity in responders at week 4 was statistically lower than that in partial responders at the nucleotide level (0.6494 vs 0.7723, p=0.039). Net changes in diversity as well as the viral nucleotide substitution rate of responders were higher than those of partial responders, and both correlated with virological responses at both week 48 and the final visit (mean: 28 months). A preliminary model of QS evolution variables predicted 16 of 17 responders and 13 of 14 partial responders in the entecavir group. Despite significant differences between responders to entecavir and responders to lamivudine at week 4, the characteristics of QS were quite similar between partial responders to entecavir and non-responders to lamivudine. Conclusions The evolutionary patterns of HBV RT QS differ between responders and partial responders during the early stage of entecavir treatment. Characteristics of HBV QS evolution during the first 4 weeks contribute to the prediction of long-term virological responses. The similar patterns of HBV RT QS in partial responders and non-responders receiving different nucleoside analogues may imply a novel mechanism of drug resistance, which warrants further investigation.

Genome-Wide Association Study of Prognosis in Advanced Non–Small Cell Lung Cancer Patients Receiving Platinum-Based Chemotherapy

Purpose: Genetic variation may influence chemotherapy response and overall survival in cancer patients. Experimental design: We conducted a genome-wide scan in 535 advanced-stage non–small cell lung cancer (NSCLC) patients from two independent cohorts (307 from Nanjing and 228 from Beijing). A replication was carried out on an independent cohort of 340 patients from Southeastern China followed by a second validation on 409 patients from the Massachusetts General Hospital (Boston, MA). Results: Consistent associations with NSCLC survival were identified for five single-nucleotide polymorphisms (SNP) in Chinese populations with P values ranging from 3.63 × 10−5 to 4.19 × 10−7 in the additive genetic model. The minor allele of three SNPs (rs7629386 at 3p22.1, rs969088 at 5p14.1, and rs3850370 at 14q24.3) were associated with worse NSCLC survival while 2 (rs41997 at 7q31.31 and rs12000445 at 9p21.3) were associated with better NSCLC survival. In addition, rs7629386 at 3p22.1 (CTNNB1) and rs3850370 at 14q24.3 (SNW1-ALKBH1-NRXN3) were further replicated in the Caucasian population. Conclusion: In this three-stage genome-wide association studies, we identified five SNPs as markers for survival of advanced-stage NSCLC patients treated with first-line platinum-based chemotherapy in Chinese Han populations. Two of these SNPs, rs7629386 and rs3850370, could also be markers for survival among Caucasian patients. Clin Cancer Res; 18(19); 5507–14. ©2012 AACR.

Potentially functional polymorphisms in DNA repair genes and non-small-cell lung cancer survival: A pathway-based analysis†

To assess systematically whether potentially functional polymorphisms in DNA repair genes influence the clinical behavior of non‐small‐cell lung cancer (NSCLC), we examined the impact of a comprehensive panel of 218 signal nucleotide polymorphisms (SNP) in 50 candidate DNA repair genes on overall survival of NSCLC in a case‐cohort of 568 lung cancer patients. SNPs associated with lung cancer prognosis primarily mapped to 14 genes in different repair pathways, and 6 SNPs were remained in the final model after multivariate stepwise Cox regression analysis: ATM rs189037; MRE11A rs11020802; ERCC2 rs1799793; MBD4 rs140693; XRCC1 rs25487, and PMS1 rs5742933. In the combined analysis of these 6 SNPs, an increasing number of unfavorable loci was associated with a poorer prognosis (P for trend: <0.0001) and patients having 2–4 unfavorable loci had a 1.99‐fold elevated risk of death 95% confidence interval (CI) = 1.58–2.50, compared with those carrying 0–1 unfavorable loci, and this elevated risk was more evident among stages I–II patients (hazard ratio = 3.04, 95% CI = 1.86–4.98, P for heterogeneity: 0.07). Furthermore, a significant effect of SNPs in nucleotide excision repair pathway on lung cancer survival was observed among 185 stages III–IV patients treated with platinum‐based chemotherapy without surgical operation: XPC rs2228000 (Ala499Val; P = 0.002) and ERCC1 rs11615 (Asn118Asn; P = 0.012). Our data indicate that potentially functional polymorphisms in DNA repair genes may serve as candidate prognostic markers of clinical outcome of NSCLC.

Breast cancer risk assessment with five independent genetic variants and two risk factors in Chinese women

IntroductionRecently, several genome-wide association studies (GWAS) have identified novel single nucleotide polymorphisms (SNPs) associated with breast cancer risk. However, most of the studies were conducted among Caucasians and only one from Chinese.MethodsIn the current study, we first tested whether 15 SNPs identified by previous GWAS were also breast cancer marker SNPs in this Chinese population. Then, we grouped the marker SNPs, and modeled them with clinical risk factors, to see the usage of these factors in breast cancer risk assessment. Two methods (risk factors counting and odds ratio (OR) weighted risk scoring) were used to evaluate the cumulative effects of the five significant SNPs and two clinical risk factors (age at menarche and age at first live birth).ResultsFive SNPs located at 2q35, 3p24, 6q22, 6q25 and 10q26 were consistently associated with breast cancer risk in both testing set (878 cases and 900 controls) and validation set (914 cases and 967 controls) samples. Overall, all of the five SNPs contributed to breast cancer susceptibility in a dominant genetic model (2q35, rs13387042: adjusted OR = 1.26, P = 0.006; 3q24.1, rs2307032: adjusted OR = 1.24, P = 0.005; 6q22.33, rs2180341: adjusted OR = 1.22, P = 0.006; 6q25.1, rs2046210: adjusted OR = 1.51, P = 2.40 × 10-8; 10q26.13, rs2981582: adjusted OR = 1.31, P = 1.96 × 10-4). Risk score analyses (area under the curve (AUC): 0.649, 95% confidence interval (CI): 0.631 to 0.667; sensitivity = 62.60%, specificity = 57.05%) presented better discrimination than that by risk factors counting (AUC: 0.637, 95% CI: 0.619 to 0.655; sensitivity = 62.16%, specificity = 60.03%) (P < 0.0001). Absolute risk was then calculated by the modified Gail model and an AUC of 0.658 (95% CI = 0.640 to 0.676) (sensitivity = 61.98%, specificity = 60.26%) was obtained for the combination of five marker SNPs, age at menarche and age at first live birth.ConclusionsThis study shows that five GWAS identified variants were also consistently validated in this Chinese population and combining these genetic variants with other risk factors can improve the risk predictive ability of breast cancer. However, more breast cancer associated risk variants should be incorporated to optimize the risk assessment.

Association analysis identifies new risk loci for non-obstructive azoospermia in Chinese men

Male factor infertility affects one-sixth of couples worldwide, and non-obstructive azoospermia (NOA) is one of the most severe forms. Our previous genome-wide association study (GWAS) identified three susceptibility loci for NOA in Han Chinese men. Here we test promising associations in an extended three-stage validation using 3,608 NOA cases and 5,909 controls to identify additional risk loci. We find strong evidence of three NOA susceptibility loci (P<5.0 × 10(-8)) at 6p21.32 (rs7194, P=3.76 × 10(-19)), 10q25.3 (rs7099208, P=6.41 × 10(-14)) and 6p12.2 (rs13206743, P=3.69 × 10(-8)), as well as one locus approaching genome-wide significance at 1q42.13 (rs3000811, P=7.26 × 10(-8)). In addition, we investigate the phenotypic effect of the related gene (gek, orthologous to CDC42BPA) at 1q42.13 on male fertility using a Drosophila model. These results advance our understanding of the genetic susceptibility to NOA and provide insights into its pathogenic mechanism.