Chaoyu Wang
National Institutes of Health
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Featured researches published by Chaoyu Wang.
Nature Genetics | 2010
Christian C. Abnet; Neal D. Freedman; Nan Hu; Zhaoming Wang; Kai Yu; Xiao-Ou Shu; Jian-Min Yuan; Wei Zheng; Sanford M. Dawsey; Linda M. Dong; Maxwell P. Lee; Ti Ding; You-Lin Qiao; Yu-Tang Gao; Woon-Puay Koh; Yong Bing Xiang; Ze Zhong Tang; Jin Hu Fan; Chaoyu Wang; William Wheeler; Mitchell H. Gail; Meredith Yeager; Jeff Yuenger; Amy Hutchinson; Kevin B. Jacobs; Carol Giffen; Laurie Burdett; Joseph F. Fraumeni; Margaret A. Tucker; Wong Ho Chow
We conducted a genome-wide association study of gastric cancer and esophageal squamous cell carcinoma (ESCC) in ethnic Chinese subjects in which we genotyped 551,152 SNPs. We report a combined analysis of 2,240 gastric cancer cases, 2,115 ESCC cases and 3,302 controls drawn from five studies. In logistic regression models adjusted for age, sex and study, multiple variants at 10q23 had genome-wide significance for gastric cancer and ESCC independently. A notable signal was rs2274223, a nonsynonymous SNP located in PLCE1, for gastric cancer (P = 8.40 × 10−9; per-allele odds ratio (OR) = 1.31) and ESCC (P = 3.85 × 10−9; OR = 1.34). The association with gastric cancer differed by anatomic subsite. For tumors in the cardia the association was stronger (P = 4.19 × 10−15; OR = 1.57), and for those in the noncardia stomach it was absent (P = 0.44; OR = 1.05). Our findings at 10q23 could provide insight into the high incidence of both cancers in China.
Cancer Research | 2005
Nan Hu; Chaoyu Wang; Ying Hu; Howard H. Yang; Carol Giffen; Ze Zhong Tang; Xiao Yu Han; Alisa M. Goldstein; Michael R. Emmert-Buck; Kenneth H. Buetow; Philip R. Taylor; Maxwell P. Lee
Whole genome association studies of complex human diseases represent a new paradigm in the postgenomic era. In this study, we report application of the Affymetrix, Inc. (Santa Clara, CA) high-density single nucleotide polymorphism (SNP) array containing 11,555 SNPs in a pilot case-control study of esophageal squamous cell carcinoma (ESCC) that included the analysis of germ line samples from 50 ESCC patients and 50 matched controls. The average genotyping call rate for the 100 samples analyzed was 96%. Using the generalized linear model (GLM) with adjustment for potential confounders and multiple comparisons, we identified 37 SNPs associated with disease, assuming a recessive mode of transmission; similarly, 48 SNPs were identified assuming a dominant mode and 53 SNPs in a continuous mode. When the 37 SNPs identified from the GLM recessive mode were used in a principal components analysis, the first principal component correctly predicted 46 of 50 cases and 47 of 50 controls. Among all the SNPs selected from GLMs for the three modes of transmission, 39 could be mapped to 1 of 33 genes. Many of these genes are involved in various cancers, including GASC1, shown previously to be amplified in ESCCs, and EPHB1 and PIK3C3. In conclusion, we have shown the feasibility of the Affymetrix 10K SNP array in genome-wide association studies of common cancers and identified new candidate loci to study in ESCC.
Clinical Cancer Research | 2011
Hua Su; Nan Hu; Howard H. Yang; Chaoyu Wang; Mikiko Takikita; Quan-Hong Wang; Carol Giffen; Robert J. Clifford; Stephen M. Hewitt; Jian-Zhong Shou; Alisa M. Goldstein; Maxwell P. Lee; Philip R. Taylor
Purpose: Esophageal squamous cell carcinoma (ESCC) is an aggressive tumor with poor prognosis. Understanding molecular changes in ESCC will enable identification of molecular subtypes and provide potential targets for early detection and therapy. Experimental Design: We followed up a previous array study with additional discovery and confirmatory studies in new ESCC cases by using alternative methods. We profiled global gene expression for discovery and confirmation, and validated selected dysregulated genes with additional RNA and protein studies. Results: A total of 159 genes showed differences with extreme statistical significance (P < E-15) and 2-fold differences or more in magnitude (tumor/normal RNA expression ratio, N = 53 cases), including 116 upregulated and 43 downregulated genes. Of 41 genes dysregulated in our prior array study, all but one showed the same fold change directional pattern in new array studies, including 29 with 2-fold changes or more. Alternative RNA expression methods validated array results: more than two thirds of 51 new cases examined by real-time PCR (RT-PCR) showed 2-fold differences or more for all seven genes assessed. Immunohistochemical protein expression results in 275 cases which were concordant with RNA for five of six genes. Conclusion: We identified an expanded panel of genes dysregulated in ESCC and confirmed previously identified differentially expressed genes. Microarray-based gene expression results were confirmed by RT-PCR and protein expression studies. These dysregulated genes will facilitate molecular categorization of tumor subtypes and identification of their risk factors, and serve as potential targets for early detection, outcome prediction, and therapy. Clin Cancer Res; 17(9); 2955–66. ©2011 AACR.
Clinical Cancer Research | 2004
Nan Hu; Michael J. Flaig; Hua Su; Jian-Zhong Shou; Mark J. Roth; Wen-Jun Li; Chaoyu Wang; Alisa M. Goldstein; Guang Li; Michael R. Emmert-Buck; Philip R. Taylor
Purpose: The purpose is to characterize alterations of the annexin I gene, its mRNA, and protein expression in esophageal squamous cell carcinoma. Experimental Design: Fifty-six cases of esophageal squamous cell carcinoma were analyzed using four microsatellite markers flanking the annexin I gene (9q11-q21) to identify loss of heterozygosity. In addition, we performed (a) single-strand conformation polymorphism and DNA sequencing along the entire promoter sequence and coding region to identify mutations, (b) real-time quantitative reverse transcription-PCR of RNA from frozen esophageal squamous cell carcinoma tissue (n = 37) and in situ hybridization (n = 5) on selected cases to assess mRNA expression, and (c) immunohistochemistry (n = 44) to evaluate protein expression. The prevalence of the allelic variants identified in the first 56 patients was refined in 80 additional esophageal squamous cell carcinoma patients and 232 healthy individuals. Results: Forty-six of 56 (82%) esophageal squamous cell carcinoma patients showed loss of an allele at one or more of the four microsatellite markers; however, only one (silent) mutation was seen. Two intragenic variants were identified with high frequency of allelic loss (A58G, 64%; L109L, 69%). Thirty of 37 (81%) esophageal squamous cell carcinoma patients showed reduced annexin I mRNA expression, which was confirmed by in situ hybridization, whereas annexin I protein expression was reduced in 79% of poorly differentiated tumor cell foci but in only 5% of well-differentiated tumor foci, although allelic loss on chromosome 9 was found in both tumor grades. Conclusions: Allelic loss of annexin I occurs frequently, whereas somatic mutations are rare, suggesting that annexin I is not inactivated in esophageal squamous cell carcinoma via a two-hit mechanism. A decrease in annexin I protein expression was confirmed, consistent with a quantitative decrease in mRNA expression, and appeared to be related to tumor cell differentiation. We conclude that annexin I is not the tumor suppressor gene corresponding to the high levels of loss of heterozygosity observed on chromosome 9 in esophageal squamous cell carcinoma; however, dysregulation of mRNA and protein levels is associated with this tumor type.
Oncogene | 2004
Nan Hu; Chaoyu Wang; Xiao-You Han; Li-Ji He; Ze-Zhong Tang; Carol Giffen; Michael R. Emmert-Buck; Alisa M. Goldstein; Philip R. Taylor
Previous studies of esophageal squamous cell carcinoma (ESCC) have shown a high frequency of allelic loss on chromosome 13q, infrequent somatic mutations in BRCA2, and a suggested association between a positive family history (FH+) of upper gastrointestinal cancer and germline BRCA2 mutations. In all, 70 ESCC patients (44 FH+ and 26 FH−) were examined by direct full sequencing of germline DNA for BRCA2 mutations. In addition, 28 family members of three of these patients and 232 unrelated healthy blood bank donor controls were examined for the mutations identified in the 70 ESCC patients. Five BRCA2 germline mutations, including three not previously reported (N1600del, A2054P, and V2109I), were identified in six of 44 FH+ patients, but none of 26 FH− patients (14 vs 0%, P=0.078), consistent with our previous findings (3/34 or 9% FH+ vs 0/22 or 0% FH−, P=0.27). The cumulative frequency of BRCA2 germline mutations in ESCC patients in this and our previous study combined is 12%, with all mutations found in FH+ as opposed to FH− cases (9/78 or 12% FH+ vs 0/48 or 0% FH−, P=0.013). We conclude that germline mutations in BRCA2 in ESCC patients from this high-risk area of China are more frequent in FH+ than FH− cases, suggesting that BRCA2 may play a role in genetic susceptibility to familial ESCC.
Human Pathology | 1997
M.P Vargas; Zhengping Zhuang; Chaoyu Wang; Alexander O. Vortmeyer; William M. Linehan; Maria J. Merino
Pheochromocytomas and extra-adrenal paragangliomas are tumors of the paraganglia with similar histological characteristics. We examined 12 sporadic pheochromocytomas and 5 extra-adrenal paragangliomas for loss of heterozygosity (LOH) in chromosomes 1p and 3p using a microdissection technique. Chromosomes 1p34-36, 3p21 and the von Hippel-Lindau (VHL) gene locus (3p25) were analyzed. LOH of a selected region on chromosome 1p was detected in 5 of 11 (45%) informative pheochromocytoma cases and in 0 of 5 (0%) informative extra-adrenal paraganglioma cases. LOH of the chromosome 3p25 VHL gene locus was detected in 5 of 9 (45%) informative pheochromocytoma cases and in 0 of 3 (0%) informative extra-adrenal paraganglioma cases. LOH of 3p21 was detected in 2 of 4 (50%) informative extra-adrenal paraganglioma cases. The allelic deletions in chromosomes 1p and 3p appear to be separate events. In conclusion, significant deletions were found at 1p34-36 and 3p25 in sporadic pheochromocytomas but not in extra-adrenal paragangliomas. These findings suggest (1) that multiple genetic factors may be involved in pheochromocytoma tumorigenesis, and (2) extra-adrenal paragangliomas may have a different genetic mechanism of tumorigenesis compared with pheochromocytomas.
Cancer Research | 2009
Nan Hu; Chaoyu Wang; David Ng; Robert J. Clifford; Howard H. Yang; Ze-Zhong Tang; Quan-Hong Wang; Xiao-You Han; Carol Giffen; Alisa M. Goldstein; Philip R. Taylor; Maxwell P. Lee
Genomic instability plays an important role in most human cancers. To characterize genomic instability in esophageal squamous cell carcinoma (ESCC), we examined loss of heterozygosity (LOH), copy number (CN) loss, CN gain, and gene expression using the Affymetrix GeneChip Human Mapping 500K (n = 30 cases) and Human U133A (n = 17 cases) arrays in ESCC cases from a high-risk region of China. We found that genomic instability measures varied widely among cases and separated them into two groups: a high-frequency instability group (two-thirds of all cases with one or more instability category of > or =10%) and a low-frequency instability group (one-third of cases with instability of <10%). Genomic instability also varied widely across chromosomal arms, with the highest frequency of LOH on 9p (33% of informative single nucleotide polymorphisms), CN loss on 3p (33%), and CN gain on 3q (48%). Twenty-two LOH regions were identified: four on 9p, seven on 9q, four on 13q, two on 17p, and five on 17q. Three CN loss regions-3p12.3, 4p15.1, and 9p21.3-were detected. Twelve CN gain regions were found, including six on 3q, one on 7q, four on 8q, and one on 11q. One of the most gene-rich of these CN gain regions was 11q13.1-13.4, where 26 genes also had RNA expression data available. CN gain was significantly correlated with increased RNA expression in over 80% of these genes. Our findings show the potential utility of combining CN analysis and gene expression data to identify genes involved in esophageal carcinogenesis.
Carcinogenesis | 2013
Wen-Qing Li; Nan Hu; Paula L. Hyland; Ying Gao; Zhaoming Wang; Kai Yu; Hua Su; Chaoyu Wang; Lemin Wang; Stephen J. Chanock; Laurie Burdett; Ti Ding; You-Lin Qiao; Jin-Hu Fan; Yuan Wang; Yi Xu; Jianxin Shi; Fangyi Gu; William Wheeler; Xiaoqin Xiong; Carol Giffen; Margaret A. Tucker; Sanford M. Dawsey; Neal D. Freedman; Christian C. Abnet; Alisa M. Goldstein; Philip R. Taylor
The DNA repair pathways help to maintain genomic integrity and therefore genetic variation in the pathways could affect the propensity to develop cancer. Selected germline single nucleotide polymorphisms (SNPs) in the pathways have been associated with esophageal cancer and gastric cancer (GC) but few studies have comprehensively examined the pathway genes. We aimed to investigate associations between DNA repair pathway genes and risk of esophageal squamous cell carcinoma (ESCC) and GC, using data from a genome-wide association study in a Han Chinese population where ESCC and GC are the predominant cancers. In sum, 1942 ESCC cases, 1758 GC cases and 2111 controls from the Shanxi Upper Gastrointestinal Cancer Genetics Project (discovery set) and the Linxian Nutrition Intervention Trials (replication set) were genotyped for 1675 SNPs in 170 DNA repair-related genes. Logistic regression models were applied to evaluate SNP-level associations. Gene- and pathway-level associations were determined using the resampling-based adaptive rank-truncated product approach. The DNA repair pathways overall were significantly associated with risk of ESCC (P = 6.37 × 10(-4)), but not with GC (P = 0.20). The most significant gene in ESCC was CHEK2 (P = 2.00 × 10(-6)) and in GC was CLK2 (P = 3.02 × 10(-4)). We observed several other genes significantly associated with either ESCC (SMUG1, TDG, TP53, GTF2H3, FEN1, POLQ, HEL308, RAD54B, MPG, FANCE and BRCA1) or GC risk (MRE11A, RAD54L and POLE) (P < 0.05). We provide evidence for an association between specific genes in the DNA repair pathways and the risk of ESCC and GC. Further studies are warranted to validate these associations and to investigate underlying mechanisms.
Cancer Prevention Research | 2011
Melissa Rotunno; Nan Hu; Hua Su; Chaoyu Wang; Alisa M. Goldstein; Andrew W. Bergen; Dario Consonni; Angela Cecilia Pesatori; Pier Alberto Bertazzi; Sholom Wacholder; Joanna H. Shih; Neil E. Caporaso; Philip R. Taylor; Maria Teresa Landi
Affordable early screening in subjects with high risk of lung cancer has great potential to improve survival from this deadly disease. We measured gene expression from lung tissue and peripheral whole blood (PWB) from adenocarcinoma cases and controls to identify dysregulated lung cancer genes that could be tested in blood to improve identification of at-risk patients in the future. Genome-wide mRNA expression analysis was conducted in 153 subjects (73 adenocarcinoma cases, 80 controls) from the Environment And Genetics in Lung cancer Etiology study using PWB and paired snap-frozen tumor and noninvolved lung tissue samples. Analyses were conducted using unpaired t tests, linear mixed effects, and ANOVA models. The area under the receiver operating characteristic curve (AUC) was computed to assess the predictive accuracy of the identified biomarkers. We identified 50 dysregulated genes in stage I adenocarcinoma versus control PWB samples (false discovery rate ≤0.1, fold change ≥1.5 or ≤0.66). Among them, eight (TGFBR3, RUNX3, TRGC2, TRGV9, TARP, ACP1, VCAN, and TSTA3) differentiated paired tumor versus noninvolved lung tissue samples in stage I cases, suggesting a similar pattern of lung cancer–related changes in PWB and lung tissue. These results were confirmed in two independent gene expression analyses in a blood-based case–control study (n = 212) and a tumor–nontumor paired tissue study (n = 54). The eight genes discriminated patients with lung cancer from healthy controls with high accuracy (AUC = 0.81, 95% CI = 0.74–0.87). Our finding suggests the use of gene expression from PWB for the identification of early detection markers of lung cancer in the future. Cancer Prev Res; 4(10); 1599–608. ©2011 AACR.
BMC Genomics | 2006
Nan Hu; Chaoyu Wang; Ying Hu; Howard H. Yang; Li Hui Kong; Ning Lu; Hua Su; Quan Hong Wang; Alisa M. Goldstein; Kenneth H. Buetow; Michael R. Emmert-Buck; Philip R. Taylor; Maxwell P. Lee
BackgroundEsophageal squamous cell carcinoma (ESCC) is a common malignancy worldwide. Comprehensive genomic characterization of ESCC will further our understanding of the carcinogenesis process in this disease.ResultsGenome-wide detection of chromosomal changes was performed using the Affymetrix GeneChip 10 K single nucleotide polymorphism (SNP) array, including loss of heterozygosity (LOH) and copy number alterations (CNA), for 26 pairs of matched germ-line and micro-dissected tumor DNA samples. LOH regions were identified by two methods – using Affymetrixs genotype call software and using Affymetrixs copy number alteration tool (CNAT) software – and both approaches yielded similar results. Non-random LOH regions were found on 10 chromosomal arms (in decreasing order of frequency: 17p, 9p, 9q, 13q, 17q, 4q, 4p, 3p, 15q, and 5q), including 20 novel LOH regions (10 kb to 4.26 Mb). Fifteen CNA-loss regions (200 kb to 4.3 Mb) and 36 CNA-gain regions (200 kb to 9.3 Mb) were also identified.ConclusionThese studies demonstrate that the Affymetrix 10 K SNP chip is a valid platform to integrate analyses of LOH and CNA. The comprehensive knowledge gained from this analysis will enable improved strategies to prevent, diagnose, and treat ESCC.