Gene Expression Signature-Based Prognostic Risk Score in Gastric Cancer

被引:283
作者
Cho, Jae Yong [1 ,4 ]
Lim, Jae Yun [1 ,4 ]
Cheong, Jae Ho [1 ,5 ]
Park, Yun-Yong [1 ]
Yoon, Se-Lyun [7 ]
Kim, Soo Mi [1 ,9 ]
Kim, Sang-Bae [1 ]
Kim, Hoguen [6 ]
Hong, Soon Won [6 ]
Park, Young Nyun [6 ]
Noh, Sung Hoon [5 ]
Park, Eun Sung [1 ]
Chu, In-Sun [8 ]
Hong, Waun Ki [2 ]
Ajani, Jaffer A. [3 ]
Lee, Ju-Seog [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Syst Biol, Div Canc Med, Houston, TX 77054 USA
[2] Univ Texas MD Anderson Canc Ctr, Dept Thorac Head & Neck Med Oncol, Div Canc Med, Houston, TX 77054 USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Gastrointestinal Med Oncol, Div Canc Med, Houston, TX 77054 USA
[4] Yonsei Univ, Coll Med, Dept Med Oncol, Seoul, South Korea
[5] Yonsei Univ, Coll Med, Dept Surg, Seoul, South Korea
[6] Yonsei Univ, Coll Med, Dept Pathol, Seoul, South Korea
[7] Dong A Univ, Dept Biol Sci, Pusan, South Korea
[8] Korea Res Inst Biosci & Biotechnol, Korean Bioinformat Ctr, Taejon, South Korea
[9] Chonbuk Natl Univ Med Sch & Hosp, Dept Physiol, Jeonju, South Korea
关键词
MICROARRAY ANALYSIS; SURVIVAL; PATTERNS; MODELS;
D O I
10.1158/1078-0432.CCR-10-2180
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: Despite continual efforts to develop a prognostic model of gastric cancer by using clinical and pathologic parameters, a clinical test that can discriminate patients with good outcomes from those with poor outcomes after gastric cancer surgery has not been established. We aim to develop practical biomarker-based risk score that can predict relapse of gastric cancer after surgical treatment. Experimental Design: Microarray technologies were used to generate and analyze gene expression profiling data from 65 gastric cancer patients to identify biomarker genes associated with relapse. The association of expression patterns of identified genes with relapse and overall survival was validated in independent gastric cancer patients. Results: We uncovered two subgroups of gastric cancer that were strongly associated with the prognosis. For the easy translation of our findings into practice, we developed a scoring system based on the expression of six genes that predicted the likelihood of relapse after curative resection. In multivariate analysis, the risk score was an independent predictor of relapse in a cohort of 96 patients. We were able to validate the robustness of the six-gene signature in an additional independent cohort. Conclusions: The risk score derived from the six-gene set successfully prognosticated the relapse of gastric cancer patients after gastrectomy. Clin Cancer Res; 17(7); 1850-7. (C) 2011 AACR.
引用
收藏
页码:1850 / 1857
页数:8
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