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Clinical Significance of Four Molecular Subtypes of Gastric Cancer Identified by The Cancer Genome Atlas Project

Authors
 Bo Hwa Sohn  ;  Jun-Eul Hwang  ;  Hee-Jin Jang  ;  Hyun-Sung Lee  ;  Sang Cheul Oh  ;  Jae-Jun Shim  ;  Keun-Wook Lee  ;  Eui Hyun Kim  ;  Sun Young Yim  ;  Sang Ho Lee  ;  Jae-Ho Cheong  ;  Woojin Jeong  ;  Jae Yong Cho  ;  Joohee Kim  ;  Jungsoo Chae  ;  Jeeyun Lee  ;  Won Ki Kang  ;  Sung Kim  ;  Sung Hoon Noh  ;  Jaffer A. Ajani  ;  Ju-Seog Lee 
Citation
 CLINICAL CANCER RESEARCH, Vol.23(15) : 4441-4449, 2017 
Journal Title
 CLINICAL CANCER RESEARCH 
ISSN
 1078-0432 
Issue Date
2017
Abstract
Purpose: The Cancer Genome Atlas (TCGA) project recently uncovered four molecular subtypes of gastric cancer: Epstein-Barr virus (EBV), microsatellite instability (MSI), genomically stable (GS), and chromosomal instability (CIN). However, their clinical significances are currently unknown. We aimed to investigate the relationship between subtypes and prognosis of patients with gastric cancer.Experimental Design: Gene expression data from a TCGA cohort (n = 262) were used to develop a subtype prediction model, and the association of each subtype with survival and benefit from adjuvant chemotherapy was tested in 2 other cohorts (n = 267 and 432). An integrated risk assessment model (TCGA risk score) was also developed.Results: EBV subtype was associated with the best prognosis, and GS subtype was associated with the worst prognosis. Patients with MSI and CIN subtypes had poorer overall survival than those with EBV subtype but better overall survival than those with GS subtype (P = 0.004 and 0.03 in two cohorts, respectively). In multivariate Cox regression analyses, TCGA risk score was an independent prognostic factor [HR, 1.5; 95% confidence interval (CI), 1.2-1.9; P = 0.001]. Patients with the CIN subtype experienced the greatest benefit from adjuvant chemotherapy (HR, 0.39; 95% CI, 0.16-0.94; P = 0.03) and those with the GS subtype had the least benefit from adjuvant chemotherapy (HR, 0.83; 95% CI, 0.36-1.89; P = 0.65).Conclusions: Our prediction model successfully stratified patients by survival and adjuvant chemotherapy outcomes. Further development of the prediction model is warranted.
DOI
10.1158/1078-0432.CCR-16-2211
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Noh, Sung Hoon(노성훈) ORCID logo https://orcid.org/0000-0003-4386-6886
Cheong, Jae Ho(정재호) ORCID logo https://orcid.org/0000-0002-1703-1781
Cho, Jae Yong(조재용) ORCID logo https://orcid.org/0000-0002-0926-1819
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/165783
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