Browsing by Author "Han, Jiali"
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Item Open Access Association between XPF polymorphisms and cancer risk: a meta-analysis.(PloS one, 2012-01) Shi, Ting-Yan; He, Jing; Qiu, Li-Xin; Zhu, Mei-Ling; Wang, Meng-Yun; Zhou, Xiao-Yan; Han, Jiali; Yu, Hongpin; Zang, Rong-Yu; Wei, QingyiBACKGROUND: Xeroderma pigmentosum complementation group F (XPF or ERCC4) plays a key role in DNA repair that protects against genetic instability and carcinogenesis. A series of epidemiological studies have examined associations between XPF polymorphisms and cancer risk, but the findings remain inconclusive. METHODOLOGY/PRINCIPAL FINDINGS: In this meta-analysis of 47,639 cancer cases and 51,915 controls, by searching three electronic databases (i.e., MEDLINE, EMBASE and CNKI), we summarized 43 case-control studies from 29 publications on four commonly studied polymorphisms of XPF (i.e., rs1800067, rs1799801, rs2020955 and rs744154), and we did not find statistical evidence of any significant association with overall cancer risk. However, in stratification analyses, we found a significant association of XPF-rs1799801 with a reduced cancer risk in Caucasian populations (4,845 cases and 5,556 controls; recessive model: OR=0.87, 95% CI=0.76-1.00, P=0.049, P=0.723 for heterogeneity test, I(2) =0). Further genotype-phenotype correlation analysis showed that the homozygous variant CC genotype carriers had higher XPF expression levels than that of the TT genotype carriers (Student's t test for a recessive model: P=0.046). No publication bias was found by using the funnel plot and Egger's test. CONCLUSION: This meta-analysis suggests a lack of statistical evidence for the association between the four XPF SNPs and overall risk of cancers. However, XPF-rs1799801 may be associated with cancer risk in Caucasian populations, which needs to be further validated in single large, well-designed prospective studies.Item Open Access Associations between smoking behavior-related alleles and the risk of melanoma.(Oncotarget, 2016-07-26) Wu, Wenting; Liu, Hongliang; Song, Fengju; Chen, Li-Shiun; Kraft, Peter; Wei, Qingyi; Han, JialiSeveral studies have reported that cigarette smoking is inversely associated with the risk of melanoma. This study further tested whether incorporating genetic factors will provide another level of evaluation of mechanisms underlying the association between smoking and risk of melanoma. We investigated the association between SNPs selected from genome-wide association studies (GWAS) on smoking behaviors and risk of melanoma using 2,298 melanoma cases and 6,654 controls. Among 16 SNPs, three (rs16969968 [A], rs1051730 [A] and rs2036534 [C] in the 15q25.1 region) reached significance for association with melanoma risk in men (0.01 < = P values < = 0.02; 0.85 < = Odds Ratios (ORs) <= 1.20). There was association between the genetic scores based on the number of smoking behavior-risk alleles and melanoma risk with P-trend = 0.005 among HPFS. Further association with smoking behaviors indicating those three SNPs (rs16969968 [A], rs1051730 [A] and rs2036534 [C]) significantly associated with number of cigarettes smoked per day, CPD, with P = 0.009, 0.011 and 0.001 respectively. The SNPs rs215605 in the PDE1C gene and rs6265 in the BDNF gene significantly interacted with smoking status on melanoma risk (interaction P = 0.005 and P = 0.003 respectively). Our study suggests that smoking behavior-related SNPs are likely to play a role in melanoma development and the potential public health importance of polymorphisms in the CHRNA5-A3-B4 gene cluster. Further larger studies are warranted to validate the findings.Item Open Access Genetic variants in RORA and DNMT1 associated with cutaneous melanoma survival.(International journal of cancer, 2018-06) Li, Bo; Wang, Yanru; Xu, Yinghui; Liu, Hongliang; Bloomer, Wendy; Zhu, Dakai; Amos, Christopher I; Fang, Shenying; Lee, Jeffrey E; Li, Xin; Han, Jiali; Wei, QingyiCutaneous melanoma (CM) is considered as a steroid hormone-related malignancy. However, few studies have evaluated the roles of genetic variants encoding steroid hormone receptor genes and their related regulators (SHR-related genes) in CM-specific survival (CMSS). Here, we performed a pathway-based analysis to evaluate genetic variants of 191 SHR-related genes in 858 CMSS patients using a dataset from a genome-wide association study (GWAS) from The University of Texas MD Anderson Cancer Center (MDACC), and then validated the results in an additional dataset of 409 patients from the Harvard GWAS. Using multivariate Cox proportional hazards regression analysis, we identified three-independent SNPs (RORA rs782917 G > A, RORA rs17204952 C > T and DNMT1 rs7253062 G > A) as predictors of CMSS, with a variant-allele attributed hazards ratio (HR) and 95% confidence interval of 1.62 (1.25-2.09), 1.60 (1.20-2.13) and 1.52 (1.20-1.94), respectively. Combined analysis of risk genotypes of these three SNPs revealed a decreased CMSS in a dose-response manner as the number of risk genotypes increased (ptrend < 0.001); however, no improvement in the prediction model was observed (area under the curve [AUC] = 79.6-80.8%, p = 0.656), when these risk genotypes were added to the model containing clinical variables. Our findings suggest that genetic variants of RORA and DNMT1 may be promising biomarkers for CMSS, but these results needed to be validated in future larger studies.Item Open Access Genetic variants in the metzincin metallopeptidase family genes predict melanoma survival.(Molecular carcinogenesis, 2018-01) Xu, Yinghui; Wang, Yanru; Liu, Hongliang; Shi, Qiong; Zhu, Dakai; Amos, Christopher I; Fang, Shenying; Lee, Jeffrey E; Hyslop, Terry; Li, Xin; Han, Jiali; Wei, QingyiMetzincins are key molecules in the degradation of the extracellular matrix and play an important role in cellular processes such as cell migration, adhesion, and cell fusion of malignant tumors, including cutaneous melanoma (CM). We hypothesized that genetic variants of the metzincin metallopeptidase family genes would be associated with CM-specific survival (CMSS). To test this hypothesis, we first performed Cox proportional hazards regression analysis to evaluate the associations between genetic variants of 75 metzincin metallopeptidase family genes and CMSS using the dataset from the genome-wide association study (GWAS) from The University of Texas MD Anderson Cancer Center (MDACC) which included 858 non-Hispanic white patients with CM, and then validated using the dataset from the Harvard GWAS study which had 409 non-Hispanic white patients with invasive CM. Four independent SNPs (MMP16 rs10090371 C>A, ADAMTS3 rs788935 T>C, TLL2 rs10882807 T>C and MMP9 rs3918251 A>G) were identified as predictors of CMSS, with a variant-allele attributed hazards ratio (HR) of 1.73 (1.32-2.29, 9.68E-05), 1.46 (1.15-1.85, 0.002), 1.68 (1.31-2.14, 3.32E-05) and 0.67 (0.51-0.87, 0.003), respectively, in the meta-analysis of these two GWAS studies. Combined analysis of risk genotypes of these four SNPs revealed a decreased CMSS in a dose-response manner as the number of risk genotypes increased (Ptrend < 0.001). An improvement was observed in the prediction model (area under the curve [AUC] = 81.4% vs. 78.6%), when these risk genotypes were added to the model containing non-genotyping variables. Our findings suggest that these genetic variants may be promising prognostic biomarkers for CMSS.Item Open Access Genetic variants of PDGF signaling pathway genes predict cutaneous melanoma survival.(Oncotarget, 2017-09) Li, Hong; Wang, Yanru; Liu, Hongliang; Shi, Qiong; Li, Hongyu; Wu, Wenting; Zhu, Dakai; Amos, Christopher I; Fang, Shenying; Lee, Jeffrey E; Li, Yi; Han, Jiali; Wei, QingyiTo investigate whether genetic variants of platelet-derived growth factor (PDGF) signaling pathway genes are associated with survival of cutaneous melanoma (CM) patients, we assessed associations of single-nucleotide polymorphisms in PDGF pathway with melanoma-specific survival in 858 CM patients of M.D. Anderson Cancer Center (MDACC). Additional data of 409 cases from Harvard University were also included for further analysis. We identified 13 SNPs in four genes (COL6A3, NCK2, COL5A1 and PRKCD) with a nominal P < 0.05 and false discovery rate (FDR) < 0.2 in MDACC dataset. Based on linkage disequilibrium, functional prediction and minor allele frequency, a representative SNP in each gene was selected. In the meta-analysis using MDACC and Harvard datasets, there were two SNPs associated with poor survival of CM patients: rs6707820 C>T in NCK2 (HR = 1.87, 95% CI = 1.35-2.59, Pmeta= 1.53E-5); and rs2306574 T>C in PRKCD (HR = 1.73, 95% CI = 1.33-2.24, Pmeta= 4.56E-6). Moreover, CM patients in MDACC with combined risk genotypes of these two loci had markedly poorer survival (HR = 2.47, 95% CI = 1.58-3.84, P < 0.001). Genetic variants of rs6707820 C>T in NCK2 and rs2306574 T>C in PRKCD of the PDGF signaling pathway may be biomarkers for melanoma survival.Item Open Access Genome-wide association study identifies a new melanoma susceptibility locus at 1q21.3.(Nature genetics, 2011-10-09) Macgregor, Stuart; Montgomery, Grant W; Liu, Jimmy Z; Zhao, Zhen Zhen; Henders, Anjali K; Stark, Mitchell; Schmid, Helen; Holland, Elizabeth A; Duffy, David L; Zhang, Mingfeng; Painter, Jodie N; Nyholt, Dale R; Maskiell, Judith A; Jetann, Jodie; Ferguson, Megan; Cust, Anne E; Jenkins, Mark A; Whiteman, David C; Olsson, Håkan; Puig, Susana; Bianchi-Scarrà, Giovanna; Hansson, Johan; Demenais, Florence; Landi, Maria Teresa; Dębniak, Tadeusz; Mackie, Rona; Azizi, Esther; Bressac-de Paillerets, Brigitte; Goldstein, Alisa M; Kanetsky, Peter A; Gruis, Nelleke A; Elder, David E; Newton-Bishop, Julia A; Bishop, D Timothy; Iles, Mark M; Helsing, Per; Amos, Christopher I; Wei, Qingyi; Wang, Li-E; Lee, Jeffrey E; Qureshi, Abrar A; Kefford, Richard F; Giles, Graham G; Armstrong, Bruce K; Aitken, Joanne F; Han, Jiali; Hopper, John L; Trent, Jeffrey M; Brown, Kevin M; Martin, Nicholas G; Mann, Graham J; Hayward, Nicholas KWe performed a genome-wide association study of melanoma in a discovery cohort of 2,168 Australian individuals with melanoma and 4,387 control individuals. In this discovery phase, we confirm several previously characterized melanoma-associated loci at MC1R, ASIP and MTAP-CDKN2A. We selected variants at nine loci for replication in three independent case-control studies (Europe: 2,804 subjects with melanoma, 7,618 control subjects; United States 1: 1,804 subjects with melanoma, 1,026 control subjects; United States 2: 585 subjects with melanoma, 6,500 control subjects). The combined meta-analysis of all case-control studies identified a new susceptibility locus at 1q21.3 (rs7412746, P = 9.0 × 10(-11), OR in combined replication cohorts of 0.89 (95% CI 0.85-0.95)). We also show evidence suggesting that melanoma associates with 1q42.12 (rs3219090, P = 9.3 × 10(-8)). The associated variants at the 1q21.3 locus span a region with ten genes, and plausible candidate genes for melanoma susceptibility include ARNT and SETDB1. Variants at the 1q21.3 locus do not seem to be associated with human pigmentation or measures of nevus density.Item Open Access Genome-wide association study identifies three new melanoma susceptibility loci.(Nature genetics, 2011-10-09) Barrett, Jennifer H; Iles, Mark M; Harland, Mark; Taylor, John C; Aitken, Joanne F; Andresen, Per Arne; Akslen, Lars A; Armstrong, Bruce K; Avril, Marie-Francoise; Azizi, Esther; Bakker, Bert; Bergman, Wilma; Bianchi-Scarrà, Giovanna; Bressac-de Paillerets, Brigitte; Calista, Donato; Cannon-Albright, Lisa A; Corda, Eve; Cust, Anne E; Dębniak, Tadeusz; Duffy, David; Dunning, Alison M; Easton, Douglas F; Friedman, Eitan; Galan, Pilar; Ghiorzo, Paola; Giles, Graham G; Hansson, Johan; Hocevar, Marko; Höiom, Veronica; Hopper, John L; Ingvar, Christian; Janssen, Bart; Jenkins, Mark A; Jönsson, Göran; Kefford, Richard F; Landi, Giorgio; Landi, Maria Teresa; Lang, Julie; Lubiński, Jan; Mackie, Rona; Malvehy, Josep; Martin, Nicholas G; Molven, Anders; Montgomery, Grant W; van Nieuwpoort, Frans A; Novakovic, Srdjan; Olsson, Håkan; Pastorino, Lorenza; Puig, Susana; Puig-Butille, Joan Anton; Randerson-Moor, Juliette; Snowden, Helen; Tuominen, Rainer; Van Belle, Patricia; van der Stoep, Nienke; Whiteman, David C; Zelenika, Diana; Han, Jiali; Fang, Shenying; Lee, Jeffrey E; Wei, Qingyi; Lathrop, G Mark; Gillanders, Elizabeth M; Brown, Kevin M; Goldstein, Alisa M; Kanetsky, Peter A; Mann, Graham J; Macgregor, Stuart; Elder, David E; Amos, Christopher I; Hayward, Nicholas K; Gruis, Nelleke A; Demenais, Florence; Bishop, Julia A Newton; Bishop, D Timothy; GenoMEL ConsortiumWe report a genome-wide association study for melanoma that was conducted by the GenoMEL Consortium. Our discovery phase included 2,981 individuals with melanoma and 1,982 study-specific control individuals of European ancestry, as well as an additional 6,426 control subjects from French or British populations, all of whom were genotyped for 317,000 or 610,000 single-nucleotide polymorphisms (SNPs). Our analysis replicated previously known melanoma susceptibility loci. Seven new regions with at least one SNP with P < 10(-5) and further local imputed or genotyped support were selected for replication using two other genome-wide studies (from Australia and Texas, USA). Additional replication came from case-control series from the UK and The Netherlands. Variants at three of the seven loci replicated at P < 10(-3): an SNP in ATM (rs1801516, overall P = 3.4 × 10(-9)), an SNP in MX2 (rs45430, P = 2.9 × 10(-9)) and an SNP adjacent to CASP8 (rs13016963, P = 8.6 × 10(-10)). A fourth locus near CCND1 remains of potential interest, showing suggestive but inconclusive evidence of replication (rs1485993, overall P = 4.6 × 10(-7) under a fixed-effects model and P = 1.2 × 10(-3) under a random-effects model). These newly associated variants showed no association with nevus or pigmentation phenotypes in a large British case-control series.Item Open Access Inverse Relationship between Vitiligo-Related Genes and Skin Cancer Risk.(The Journal of investigative dermatology, 2018-09) Wu, Wenting; 23andMe Research Team; Amos, Christopher I; Lee, Jeffrey E; Wei, Qingyi; Sarin, Kavita Y; Han, JialiItem Open Access Joint effect of multiple common SNPs predicts melanoma susceptibility.(PloS one, 2013-01) Fang, Shenying; Han, Jiali; Zhang, Mingfeng; Wang, Li-e; Wei, Qingyi; Amos, Christopher I; Lee, Jeffrey ESingle genetic variants discovered so far have been only weakly associated with melanoma. This study aims to use multiple single nucleotide polymorphisms (SNPs) jointly to obtain a larger genetic effect and to improve the predictive value of a conventional phenotypic model. We analyzed 11 SNPs that were associated with melanoma risk in previous studies and were genotyped in MD Anderson Cancer Center (MDACC) and Harvard Medical School investigations. Participants with ≥15 risk alleles were 5-fold more likely to have melanoma compared to those carrying ≤6. Compared to a model using the most significant single variant rs12913832, the increase in predictive value for the model using a polygenic risk score (PRS) comprised of 11 SNPs was 0.07(95% CI, 0.05-0.07). The overall predictive value of the PRS together with conventional phenotypic factors in the MDACC population was 0.69 (95% CI, 0.64-0.69). PRS significantly improved the risk prediction and reclassification in melanoma as compared with the conventional model. Our study suggests that a polygenic profile can improve the predictive value of an individual gene polymorphism and may be able to significantly improve the predictive value beyond conventional phenotypic melanoma risk factors.Item Open Access Novel genetic variants of PIP5K1C and MVB12B of the endosome-related pathway predict cutaneous melanoma-specific survival.(American journal of cancer research, 2020-01) Lu, Guiqing; Zhou, Bingrong; He, Yuanmin; Liu, Hongliang; Luo, Sheng; Amos, Christopher I; Lee, Jeffrey E; Yang, Keming; Qureshi, Abrar; Han, Jiali; Wei, QingyiEndosomes regulate cell polarity, adhesion, signaling, immunity, and tumor progression, which may influence cancer outcomes. Here we evaluated associations between 36,068 genetic variants of 228 endosome-related pathway genes and cutaneous melanoma disease-specific survival (CMSS) using genotyping data from two previously published genome-wide association studies. The discovery dataset included 858 CM patients with 95 deaths from The University of Texas MD Anderson Cancer Center, and the replication dataset included 409 CM patients with 48 deaths from the Nurses' Health Study (NHS) and the Health Professionals Follow-up Study (HPFS). In multivariate Cox proportional hazards regression analysis, we found that two novel SNPs (PIP5K1C rs11666894 A>C and MVB12B rs12376285 C>T) predicted CMSS, with adjusted hazards ratios of 1.47 (95% confidence interval = 1.15-1.89 and P = 0.002) and 1.73 (1.30-2.31 and 0.0002), respectively. Combined analysis of risk genotypes of these two SNPs revealed a dose-dependent decrease in CMSS associated with an increased number of risk genotypes (P trend = 0.0002). Subsequent expression quantitative trait loci (eQTL) analysis revealed that PIP5K1C rs11666894 was associated with mRNA expression levels in lymphoblastoid cell lines from 373 European descendants (P<0.0001) and that MVB12B rs12376285 was associated with mRNA expression levels in cultured fibroblasts from 605 European-Americans (P<0.0001). Our findings suggest that novel genetic variants of PIP5K1C and MVB12B in the endosome-related pathway genes may be promising prognostic biomarkers for CMSS, but these results need to be validated in future larger studies.Item Open Access Plasma miRNAs as early biomarkers for detecting hepatocellular carcinoma.(Int J Cancer, 2015-10-01) Wen, Yang; Han, Jing; Chen, Jianguo; Dong, Jing; Xia, Yongxiang; Liu, Jibin; Jiang, Yue; Dai, Juncheng; Lu, Jianhua; Jin, Guangfu; Han, Jiali; Wei, Qingyi; Shen, Hongbing; Sun, Beicheng; Hu, ZhibinThe 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.Item Open Access Two-stage genome-wide association study identifies a novel susceptibility locus associated with melanoma.(Oncotarget, 2017-03) Ransohoff, Katherine J; Wu, Wenting; Cho, Hyunje G; Chahal, Harvind C; Lin, Yuan; Dai, Hong-Ji; Amos, Christopher I; Lee, Jeffrey E; Tang, Jean Y; Hinds, David A; Han, Jiali; Wei, Qingyi; Sarin, Kavita YGenome-wide association studies have identified 21 susceptibility loci associated with melanoma. These loci implicate genes affecting pigmentation, nevus count, telomere maintenance, and DNA repair in melanoma risk. Here, we report the results of a two-stage genome-wide association study of melanoma. The stage 1 discovery phase consisted of 4,842 self-reported melanoma cases and 286,565 controls of European ancestry from the 23andMe research cohort and the stage 2 replication phase consisted of 1,804 melanoma cases and 1,026 controls from the University of Texas M.D. Anderson Cancer Center. We performed a combined meta-analysis totaling 6,628 melanoma cases and 287,591 controls. Our study replicates 20 of 21 previously known melanoma-loci and confirms the association of the telomerase reverse transcriptase, TERT, with melanoma susceptibility at genome-wide significance. In addition, we uncover a novel polymorphism, rs187843643 (OR = 1.96; 95% CI = [1.54, 2.48]; P = 3.53 x 10-8), associated with melanoma. The SNP rs187842643 lies within a noncoding RNA 177kb downstream of BASP1 (brain associated protein-1). We find that BASP1 expression is suppressed in melanoma as compared with benign nevi, providing additional evidence for a putative role in melanoma pathogenesis.