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Integrated Differential Regulatory Analysis Reveals a Novel Prognostic 36-Gene Signature for Gastric Cancer in Asian Population

文献类型：期刊论文

作者Li, Junyi1,4; Yang, Liguang1; Li, Yi-Xue1,4; Liu, Bing-Ya5; Wu, Sujuan4; Li, Yuan-Yuan2,3,4; Li, Yi-Xue2,3; ,
刊名COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING
出版日期2017
卷号20期号:2页码:174-181
关键词Differential regulatory analysis differential co-expression analysis co-expression network prognostic biomarker gastric cancer carcinogenesis precision medicine
ISSN号1386-2073
DOI10.2174/1386207320666170117121543
文献子类Article
英文摘要Aim and Objective: Gastric cancer is one of the most common cancers and has very high incidence and mortality rate in Asian population. To tackle the problems of infiltration and heterogeneity, more accurate biomarkers for diagnosis and prognosis as well as effective targets for treatment are needed to achieve better outcomes of gastric cancer patients. Recently, methods and algorithms for analyzing high-throughput sequencing data have greatly facilitated the molecular profiling of gastric cancer. Nevertheless, prognostic biomarkers for gastric cancer that can be potentially applied in clinic are still lacking. Materials and Methods: In this study, we performed differential regulatory analysis based on gene co-expression network for four different cohorts of Asian gastric cancer samples and their clinical data. Results: We identified a 36-gene prognostic signature specific for gastric cancer, particularly for Asian population. We further analyzed differential regulatory patterns related to these featured genes, such as C1S, and suggested hypotheses for investigating their roles in gastric cancer pathogenesis. Conclusion: Findings from present study suggest a 36-gene signature which is based on differential regulatory analysis and can predict the prognosis of gastric cancer. Our research explores molecular mechanism of gastric cancer at transcriptional regulation level and provides potential drug targets. This integrated biomarker searching scheme is extendable to other cancer study for not only prognostic prediction, but also pathogenesis.
学科主题Biochemistry & Molecular Biology ; Chemistry ; Pharmacology & Pharmacy
WOS关键词CELL LUNG-CANCER ; MATRIX FACTORIZATION ; MICROARRAY DATA ; R PACKAGE ; EXPRESSION ; GENES ; IDENTIFICATION ; ADENOCARCINOMA ; CLASSIFICATION ; PREDICTION
语种英语
WOS记录号WOS:000402823500012
出版者BENTHAM SCIENCE PUBL LTD
版本出版稿
源URL[http://202.127.25.144/handle/331004/791]  
专题中国科学院上海生命科学研究院营养科学研究所
作者单位1.Chinese Acad Sci, Shanghai Inst Biol Sci, Key Lab Computat Biol, CAS MPG Partner Inst Computat Biol, Shanghai 200031, Peoples R China;
2.Shanghai Engn Res Ctr Pharmaceut Translat, 1278 Keyuan Rd, Shanghai 201203, Peoples R China,
3.Shanghai Ind Technol Inst, 1278 Keyuan Rd, Shanghai 201203, Peoples R China;
4.Shanghai Ctr Bioinformat Technol, 1278 Keyuan Rd, Shanghai 201203, Peoples R China;
5.Shanghai Jiao Tong Univ, Shanghai Inst Digest Surg, Ruijin Hosp, Sch Med,Shanghai Key Lab Gastr Neoplasms, Shanghai 200025, Peoples R China;
推荐引用方式
GB/T 7714		 Li, Junyi,Yang, Liguang,Li, Yi-Xue,et al. Integrated Differential Regulatory Analysis Reveals a Novel Prognostic 36-Gene Signature for Gastric Cancer in Asian Population[J]. COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING,2017,20(2):174-181.
APA Li, Junyi.,Yang, Liguang.,Li, Yi-Xue.,Liu, Bing-Ya.,Wu, Sujuan.,...&,.(2017).Integrated Differential Regulatory Analysis Reveals a Novel Prognostic 36-Gene Signature for Gastric Cancer in Asian Population.COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING,20(2),174-181.
MLA Li, Junyi,et al."Integrated Differential Regulatory Analysis Reveals a Novel Prognostic 36-Gene Signature for Gastric Cancer in Asian Population".COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING 20.2(2017):174-181.

入库方式： OAI收割

来源：上海营养与健康研究所

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