Detailed Information

Cited 292 time in webofscience Cited 320 time in scopus
Metadata Downloads

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

Authors
Sohn, Bo HwaHwang, Jun-EulJang, Hee-JinLee, Hyun-SungOh, Sang CheulShim, Jae-JunLee, Keun-WookKim, Eui HyunYim, Sun YoungLee, Sang HoCheong, Jae-HoJeong, WoojinCho, Jae YongKim, JooheeChae, JungsooLee, JeeyunKang, Won KiKim, SungNoh, Sung HoonAjani, Jaffer A.Lee, Ju-Seog
Issue Date
1-Aug-2017
Publisher
AMER ASSOC CANCER RESEARCH
Citation
CLINICAL CANCER RESEARCH, v.23, no.15, pp 4441 - 4449
Pages
9
Indexed
SCI
SCIE
SCOPUS
Journal Title
CLINICAL CANCER RESEARCH
Volume
23
Number
15
Start Page
4441
End Page
4449
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/4737
DOI
10.1158/1078-0432.CCR-16-2211
ISSN
1078-0432
1557-3265
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. (C) 2017 AACR.
Files in This Item
There are no files associated with this item.
Appears in
Collections
2. Clinical Science > Department of Medical Oncology and Hematology > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Oh, Sang Cheul photo

Oh, Sang Cheul
Guro Hospital (Department of Medical Oncology and Hematology, Guro Hospital)
Read more

Altmetrics

Total Views & Downloads

BROWSE