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Dive into the research topics where Ting Yan Shi is active.

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Featured researches published by Ting Yan Shi.


Molecular Carcinogenesis | 2013

Genetic variations of mTORC1 genes and risk of gastric cancer in an eastern chinese population

Jing He; Meng Yun Wang; Li Xin Qiu; Mei Ling Zhu; Ting Yan Shi; Xiao Yan Zhou; Meng Hong Sun; Ya Jun Yang; Jiucun Wang; Li Jin; Ya Nong Wang; Jin Li; Hong Ping Yu; Qingyi Wei

Mammalian target of rapamycin complex 1 (mTORC1) plays an important role in maintaining proper cellular functions, and genetic variations in this complex may affect cancer risk. In this study, we examined the associations between eight potential functional single nucleotide polymorphisms in the mTORC1 genes (rs2536T>C and rs1883965G>A for mTOR, rs3160T>C, and rs26865A>G for mLST8, rs3751934C>A, rs1062935T>C, rs3751932T>C, and rs12602885G>A for Raptor, not included in published gastric cancer genome‐wide association studies) and gastric cancer risk in 1125 gastric cancer cases and 1196 cancer‐free controls. We performed conditional logistic regression and multifactor dimensionality reduction (MDR) analyses to assess their associations with gastric cancer risk. We also used false‐positive report probabilities (FPRP) for assessing significant findings. We found that only the rs1883965A variant genotypes were associated with an increased risk of gastric cancer (AG vs. GG: adjusted odds ratio (OR) = 1.26, 95% confidence interval (CI) = 1.00–1.59; AA vs. GG: adjusted OR = 1.85, 95% CI = 0.67–5.16 and dominant model: adjusted OR = 1.28, 95% CI = 1.03–1.61). Patients with ≥1 risk genotypes of mTOR had significant increased risk (adjusted OR = 1.25, 95% CI = 1.04–1.49), compared with those having zero risk genotypes. In the stratified analysis, the risk effect of the rs1883965 AG/AA genotypes was evident in subgroups of ever‐smokers, non‐gastric cardia adenocarcinoma and clinical stage I + II, which were noteworthy findings as evaluated by FPRP. The MDR analysis identified smoking status and rs1883965 as the strongest two‐factors for gastric cancer risk. These data support the hypothesis that functional polymorphisms of mTOR may contribute to gastric cancer risk. Clearly, our results require validation in larger studies with different ethnic populations.


International Journal of Cancer | 2013

Associations of Lys939Gln and Ala499Val polymorphisms of the XPC gene with cancer susceptibility: A meta‐analysis

Jing He; Ting Yan Shi; Mei Ling Zhu; Meng Yun Wang; Qiao Xin Li; Qingyi Wei

XPC polymorphisms may alter DNA repair capacity, thus leading to genetic instability and carcinogenesis. Numerous studies have investigated the associations of XPC Lys939Gln (rs2228001) and Ala499Val (rs2228000) polymorphisms with cancer susceptibility; however, the findings are inconclusive. We searched literature from MEDLINE and EMBASE for eligible publications that assessed the associations between these two polymorphisms and cancer risk. We also assessed genotype‐mRNA expression correlation data from HapMap for rs2228001 and rs2228000 in normal cell lines derived from 270 subjects with different ethnicities. The final analysis included 62 published studies of 25,708 cases and 30,432 controls for the Lys939Gln and 34 studies with 14,877 cases and 17,888 controls for the Ala499Val. Overall, Lys939Gln was significantly associated with an increased overall cancer risk (Gln/Gln vs. Lys/Lys: OR = 1.16, 95% CI = 1.07 − 1.25, p < 0.001; recessive model: OR = 1.14, 95% CI = 1.06 − 1.22, p < 0.001; dominant model: OR = 1.06, 95% CI = 1.01 − 1.11, p = 0.015 and Gln vs. Lys: OR = 1.07, 95% CI = 1.03 − 1.10, p < 0.001) and further stratifications showed an increased risk for bladder, lung and colorectal cancer, Asian populations and population‐based studies. Likewise, Ala499Val was also significantly associated with an increased overall cancer risk (Val/Val vs. Ala/Ala: OR = 1.21, 95% CI = 1.07 − 1.36, p = 0.003 and recessive model: OR = 1.20, 95% CI = 1.08 − 1.34, p = 0.001) and further stratification showed an increased risk for breast and bladder cancer, particularly in Asian populations. Interestingly, significantly correlation between XPC genotypes and mRNA expression was found only for Asian populations as well. Despite some limitations, this meta‐analysis established some solid statistical evidence for an association between XPC polymorphisms and cancer risk, which warrants further validation in single large studies.


Cytokine | 2011

The association between common genetic variant of microRNA-146a and cancer susceptibility

Li-Xin Qiu; Jing He; Mengyun Wang; Ruoxin Zhang; Ting Yan Shi; Meiling Zhu; Chen Mao; Si Sun; Fangfang Lv; Chunlei Zheng; Xiao-Dong Zhu

Published data on the association between microRNA-146a (miR-146a) G/C polymorphism and cancer susceptibility are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed. A total of 23 studies including 10,585 cases and 12,183 controls were used in the meta-analysis. Overall, no significant associations were found between miR-146a G/C polymorphism and cancer risk when all studies pooled into the meta-analysis (GC vs. CC: OR=1.08, 95% CI=0.94-1.24; GG vs. CC: OR=1.13, 95% CI=0.93-1.37; dominant model: OR=1.09, 95% CI=0.94-1.26). In the subgroup analysis by ethnicity, still no significant associations were found. In the subgroup analysis by cancer type, statistically significantly increased risks were found for papillary thyroid carcinoma (GC vs. CC: OR=3.44, 95% CI=1.86-6.34; GG vs. CC: OR=2.20, 95% CI=1.22-3.99; dominant model: OR=2.68, 95% CI=1.48-4.83). In the subgroup analysis by population-based controls or hospital-based controls, no statistically significantly increased risks were found. Despite some limitations, this meta-analysis suggests that the miR-146a G allele is a low-penetrant risk factor for papillary thyroid carcinoma development.


Nature Communications | 2014

Genome-wide association study identifies new susceptibility loci for epithelial ovarian cancer in Han Chinese women

Kexin Chen; Hongxia Ma; Lian Li; Rongyu Zang; Cheng Wang; Fengju Song; Ting Yan Shi; Dianke Yu; Ming Yang; Wenqiong Xue; Juncheng Dai; Shuang Li; Hong Zheng; Chen Wu; Ying Zhang; Xiaohua Wu; Dake Li; Fengxia Xue; Haixin Li; Zhi Jiang; Jibin Liu; Yuexin Liu; Pei Li; Wen Tan; Jing Han; Jiang Jie; Quan Hao; Zhibin Hu; Dongxin Lin; Ding Ma

Ovarian cancer is the leading cause of death from gynaecological malignancies worldwide. Here we perform a three-stage genome-wide association study (GWAS) in Han Chinese women to identify risk genetic variants for epithelial ovarian cancer (EOC). We scan 900,015 single-nucleotide polymorphisms (SNPs) in 1,057 EOC cases and 1,191 controls in stage I, and replicate 41 SNPs (P(meta)<10(-4)) in 960 EOC cases and 1,799 controls (stage II), and an additional 492 EOC cases and 1,004 controls (stage III). Finally, we identify two EOC susceptibility loci at 9q22.33 (rs1413299 in COL15A1, P(meta) = 1.88 × 10(-8)) and 10p11.21 (rs1192691 near ANKRD30A, P(meta) = 2.62 × 10(-8)), and two consistently replicated loci at 12q14.2 (rs11175194 in SRGAP1, P(meta) = 1.14 × 10(-7)) and 9q34.2 (rs633862 near ABO and SURF6, P(meta) = 8.57 × 10(-7)) (P<0.05 in all three stages). These results may advance our understanding of genetic susceptibility to EOC.


BMC Cancer | 2013

A pri-miR-218 variant and risk of cervical carcinoma in Chinese women

Ting Yan Shi; Xiao Jun Chen; Mei Ling Zhu; Meng Yun Wang; Jing He; Ke Da Yu; Zhi Ming Shao; Meng Hong Sun; Xiao Yan Zhou; Xi Cheng; Xiaohua Wu; Qingyi Wei

BackgroundMicroRNA (miRNA)-related single nucleotide polymorphisms (SNPs) may compromise miRNA binding affinity and modify mRNA expression levels of the target genes, thus leading to cancer susceptibility. However, few studies have investigated roles of miRNA-related SNPs in the etiology of cervical carcinoma.MethodsIn this case–control study of 1,584 cervical cancer cases and 1,394 cancer-free female controls, we investigated associations between two miR-218-related SNPs involved in the LAMB3-miR-218 pathway and the risk of cervical carcinoma in Eastern Chinese women.ResultsWe found that the pri-miR-218 rs11134527 variant GG genotype was significantly associated with a decreased risk of cervical carcinoma compared with AA/AG genotypes (adjusted OR=0.77, 95% CI=0.63-0.95, P=0.015). However, this association was not observed for the miR-218 binding site SNP (rs2566) on LAMB3. Using the multifactor dimensionality reduction analysis, we observed some evidence of interactions of these two SNPs with other risk factors, especially age at primiparity and menopausal status, in the risk of cervical carcinoma.ConclusionsThe pri-miR-218 rs11134527 SNP was significantly associated with the risk of cervical carcinoma in Eastern Chinese women. Larger, independent studies are warranted to validate our findings.


PLOS ONE | 2012

Association between the ERCC5 Asp1104His polymorphism and cancer risk: a meta-analysis.

Mei Ling Zhu; Mengyun Wang; Zhi Gang Cao; Jing He; Ting Yan Shi; Kai Qin Xia; Li Xin Qiu; Qingyi Wei

Background Excision repair cross complementing group 5 (ERCC5 or XPG) plays an important role in regulating DNA excision repair, removal of bulky lesions caused by environmental chemicals or UV light. Mutations in this gene cause a rare autosomal recessive syndrome, and its functional single nucleotide polymorphisms (SNPs) may alter DNA repair capacity phenotype and cancer risk. However, a series of epidemiological studies on the association between the ERCC5 Asp1104His polymorphism (rs17655, G>C) and cancer susceptibility generated conflicting results. Methodology/Principal Findings To derive a more precise estimation of the association between the ERCC5 Asp1104His polymorphism and overall cancer risk, we performed a meta-analysis of 44 published case-control studies, in which a total of 23,490 cases and 27,168 controls were included. To provide additional biological plausibility, we also assessed the genotype-gene expression correlation from the HapMap phase II release 23 data with 270 individuals from 4 ethnic populations. When all studies were pooled, we found no statistical evidence for a significantly increased cancer risk in the recessive genetic models (His/His vs. Asp/Asp: OR = 0.99, 95% CI: 0.92–1.06, P = 0.242 for heterogeneity or His/His vs. Asp/His + Asp/Asp: OR = 0.98, 95% CI: 0.93–1.03, P = 0.260 for heterogeneity), nor in further stratified analyses by cancer type, ethnicity, source of controls and sample size. In the genotype-phenotype correlation analysis from 270 individuals, we consistently found no significant correlation of the Asp1104His polymorphism with ERCC5 mRNA expression. Conclusions/Significance This meta-analysis suggests that it is unlikely that the ERCC5 Asp1104His polymorphism may contribute to individual susceptibility to cancer risk.


PLOS ONE | 2012

Association between XPF Polymorphisms and Cancer Risk: A Meta-Analysis

Ting Yan Shi; Jing He; Li Xin Qiu; Mei Ling Zhu; Meng Yun Wang; Xiao Yan Zhou; Jiali Han; Hongpin Yu; Rongyu Zang; Qingyi Wei

Background 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, I2 = 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.


PLOS ONE | 2012

Polymorphisms in the ERCC5 Gene and Risk of Esophageal Squamous Cell Carcinoma (ESCC) in Eastern Chinese Populations

Mei Ling Zhu; Ting Yan Shi; Hai Chuan Hu; Jing He; Mengyun Wang; Li Jin; Ya Jun Yang; Jiucun Wang; Meng Hong Sun; Huan Chen; Kuai Le Zhao; Zhen Zhang; Haiquan Chen; Jia Qing Xiang; Qingyi Wei

Background Excision repair cross complementing group 5 (ERCC5 or XPG) plays an important role in regulating DNA excision repair; its functional single nucleotide polymorphisms (SNPs) may alter DNA repair capacity and thus contribute to cancer risk. Methodology/Principal Findings In a hospital-based case-control study of 1115 esophageal squamous cell carcinoma (ESCC) cases and 1117 cancer-free controls, we genotyped three potentially functional SNPs of ERCC5 (SNPs, rs2296147T>C, rs2094258C>T and rs873601G>A) and estimated crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for their associations with risk of ESCC using unconditional logistic regression models. We also calculated false-positive report probabilities (FPRPs) for significant findings. We found that compared with the TT genotype, ERCC5 rs2296147 C variant genotypes were associated with a significantly lower ESCC risk (CT: adjusted OR = 0.76, 95% CI = 0.63–0.93, CT/CC: adjusted OR = 0.80, 95% CI = 0.67–0.96); however, this risk was not observed for the other two SNPs (rs2094258C>T and rs873601 G>A), nor in further stratification and haplotype analysis. Conclusions/Significances These findings suggested that ERCC5 polymorphisms may contribute to risk of ESCC in Eastern Chinese populations, but the effect was weak and needs further validation by larger population-based case-control studies.


Scientific Reports | 2015

Whole Exome Sequencing Identifies Frequent Somatic Mutations in Cell-Cell Adhesion Genes in Chinese Patients with Lung Squamous Cell Carcinoma

Chenguang Li; Zhibo Gao; Fei Li; Xiangchun Li; Yihua Sun; Mengyun Wang; Dan Li; Rui Wang; Fuming Li; Rong Fang; Yunjian Pan; Xiaoyang Luo; Jing He; Liangtao Zheng; Jufeng Xia; Li-Xin Qiu; Jun He; Ting Ye; Ruoxin Zhang; Minghui He; Meiling Zhu; Haichuan Hu; Ting Yan Shi; Xiaoyan Zhou; Menghong Sun; Shilin Tian; Yong Zhou; Qiaoxiu Wang; Longyun Chen; Guangliang Yin

Lung squamous cell carcinoma (SQCC) accounts for about 30% of all lung cancer cases. Understanding of mutational landscape for this subtype of lung cancer in Chinese patients is currently limited. We performed whole exome sequencing in samples from 100 patients with lung SQCCs to search for somatic mutations and the subsequent target capture sequencing in another 98 samples for validation. We identified 20 significantly mutated genes, including TP53, CDH10, NFE2L2 and PTEN. Pathways with frequently mutated genes included those of cell-cell adhesion/Wnt/Hippo in 76%, oxidative stress response in 21%, and phosphatidylinositol-3-OH kinase in 36% of the tested tumor samples. Mutations of Chromatin regulatory factor genes were identified at a lower frequency. In functional assays, we observed that knockdown of CDH10 promoted cell proliferation, soft-agar colony formation, cell migration and cell invasion, and overexpression of CDH10 inhibited cell proliferation. This mutational landscape of lung SQCC in Chinese patients improves our current understanding of lung carcinogenesis, early diagnosis and personalized therapy.


PLOS ONE | 2013

Polymorphisms in the mTOR Gene and Risk of Sporadic Prostate Cancer in an Eastern Chinese Population

Qiao Xin Li; Chengyuan Gu; Yao Zhu; Mengyun Wang; Yajun Yang; Jiucun Wang; Li Jin; Mei Ling Zhu; Ting Yan Shi; Jing He; Xiaoyan Zhou; Dingwei Ye; Qingyi Wei

Background The mTOR gene regulates cell growth by controlling mRNA translation, ribosome biogenesis, autophagy, and metabolism. Abnormally increased expression of mTOR was associated with carcinogenesis, and its functional single nucleotide polymorphisms (SNPs) may regulate the expression of mTOR and thus contribute to cancer risk. Methodology/Principal Findings In a hospital-based case-control study of 1004 prostate cancer (PCa) cases and 1051 cancer-free controls, we genotyped six potentially functional SNPs of mTOR (rs2536 T>C, rs1883965 G>A, rs1034528 G>C, rs17036508 T>C, rs3806317 A>G, and rs2295080 T>G) and assessed their associations with risk of PCa by using logistic regression analysis. Conclusions/Significances In the single-locus analysis, we found a significantly increased risk of PCa associated with mTOR rs2536 CT/CC and rs1034528 CG/CC genotypes [adjusted OR = 1.42 (1.13–1.78), P = 0.003 and 1.29 (1.07–1.55), P = 0.007), respectively], compared with their common homozygous genotypes, whereas mTOR rs2295080 GT/GG genotypes were associated with a decreased risk of PCa [adjusted OR = 0.76 (0.64–0.92), P = 0.003], compared with wild-type TT genotypes. In the combined analysis of the six SNPs, we found that individuals carrying two or more adverse genotypes had an increased risk of PCa [adjusted OR = 1.24 (1.04–1.47), P = 0.016], compared with individuals carrying less than two adverse genotypes. In the multiple dimension reduction analysis, body mass index (BMI) was the best one-factor model with the highest CVC (100%) and the lowest prediction error (42.7%) among all seven factors. The model including an interaction among BMI, rs17036508, and rs2536 was the best three-factor model with the highest CVC (100%) and the lowest prediction error of 41.9%. These findings suggested that mTOR SNPs may contribute to the risk of PCa in Eastern Chinese men, but the effect was weak and needs further validation by larger population-based studies.

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Jing He

Guangzhou Medical University

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