Discovery and validation of prognostic markers in gastric cancer by genome-wide expression profiling  

作　　者：Yue-Zheng Zhang Lian-Hai Zhang Yang Gao Chao-Hua Li Shu-Qinjia Ni Liu Feng Cheng De-Yun Niu William CS Cho Jia-Fu Ji Chang-Qing Zeng 

机构地区：[1]Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100029, China [2]CAS Key Laboratory of Genome Sciences andInformation, Chinese Academy of Sciences, Beijing Institute ofGenomics, Beijing 100029, China [3]Graduate School of ChineseAcademy of Sciences, Beijing 100049, China [4]Key Labora-tory of Carcinogenesis and Translational Research (Ministry ofEducation), Department of Surgery, Beijing Cancer Hospitaland Institute, Peking University School of Oncology, Beijing100142, China [5]Department of Clinical Oncology, QueenElizabeth Hospital, Hong Kong, China [6]Laboratory of Cancer Genomics and Personalized Medicine, Beijing Institute of Genomics, ChineseAcademy of Sciences, Beijing 100029, China

出　　处：《World Journal of Gastroenterology》2011年第13期1710-1717,共8页世界胃肠病学杂志（英文版）

基　　金：Supported by the National 863 Program (SQ2009AA02-XK1482570 and 2006AA02A402);Beijing Municipal Committeeof Science and Technology (D0905001040631) ;Beijing Capi-tal Development Foundation of Health Bureau (2007-2051)

摘　　要：AIM: To develop a prognostic gene set that can predict patient overall survival status based on the whole genome expression analysis. METHODS: Using Illumina HumanWG-6 BeadChip followed by semi-supervised analysis, we analyzed the expression of 47 296 transcripts in two batches of gastric cancer patients who underwent surgical resection. Thirty-nine samples in the first batch were used as the training set to discover candidate markers correlated to overall survival, and thirty-three samples in the second batch were used for validation. RESULTS: A panel of ten genes were identified as prognostic marker in the first batch samples and classified patients into a lowand a high-risk group with significantly different survival times (P = 0.000047). This prognostic marker was then verified in an independent validation sample batch (P = 0.0009). By comparing with the traditional Tumor-node-metastasis (TNM) staging system, this ten-gene prognostic marker showed consistent prognosis results. It was the only independent prognostic value by multivariate Cox regression analysis (P = 0.007). Interestingly, six of these ten genes are ribosomal proteins, suggesting a possible association between the deregulation of ribosome related gene expression and the poor prognosis. CONCLUSION: A ten-gene marker correlated with overall prognosis, including 6 ribosomal proteins, was identified and verified, which may complement the predictive value of TNM staging system.AIM： To develop a prognostic gene set that can predict patient overall survival status based on the whole genome expression analysis. METHODS： Using Illumina HumanWG-6 BeadChip followed by semi-supervised analysis, we analyzed the expression of 47 296 transcripts in two batches of gastric cancer patients who underwent surgical resection. Thirty-nine samples in the first batch were used as the training set to discover candidate markers correlated to overall survival, and thirty-three samples in the second batch were used for validation. RESULTS： A panel of ten genes were identified as prognostic marker in the first batch samples and classified patients into a lowand a high-risk group with significantly different survival times （P = 0.000047）. This prognostic marker was then verified in an independent validation sample batch （P = 0.0009）. By comparing with the traditional Tumor-node-metastasis （TNM） staging system, this ten-gene prognostic marker showed consistent prognosis results. It was the only independent prognostic value by multivariate Cox regression analysis （P = 0.007）. Interestingly, six of these ten genes are ribosomal proteins, suggesting a possible association between the deregulation of ribosome related gene expression and the poor prognosis. CONCLUSION： A ten-gene marker correlated with overall prognosis, including 6 ribosomal proteins, was identified and verified, which may complement the predictive value of TNM staging system.

关 键 词：Gastric cancer Gene expression profiling Survival markers PROGNOSIS Ribosomal proteins 

分 类 号：Q78[生物学—分子生物学] Q782