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Cited 66 time in webofscience Cited 66 time in scopus
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Prognostic gene expression signature associated with two molecularly distinct subtypes of colorectal canceropen access

Authors
Oh, Sang CheulPark, Yun-YongPark, Eun SungLim, Jae YunKim, Soo MiKim, Sang-BaeKim, JongseungKim, Sang CheolChu, In-SunSmith, J. JoshuaBeauchamp, R. DanielYeatman, Timothy J.Kopetz, ScottLee, Ju-Seog
Issue Date
Sep-2012
Publisher
BMJ PUBLISHING GROUP
Keywords
SURGICAL ADJUVANT BREAST; II COLON-CANCER; MICROSATELLITE-INSTABILITY; HEPATOCELLULAR-CARCINOMA; PREDICT RECURRENCE; DUKES-B; FLUOROURACIL; THERAPY; CHEMOTHERAPY; SRC
Citation
GUT, v.61, no.9, pp 1291 - 1298
Pages
8
Indexed
SCI
SCIE
SCOPUS
Journal Title
GUT
Volume
61
Number
9
Start Page
1291
End Page
1298
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/11809
DOI
10.1136/gutjnl-2011-300812
ISSN
0017-5749
1468-3288
Abstract
Aims Despite continual efforts to develop prognostic and predictive models of colorectal cancer by using clinicopathological and genetic parameters, a clinical test that can discriminate between patients with good or poor outcome after treatment has not been established. Thus, the authors aim to uncover subtypes of colorectal cancer that have distinct biological characteristics associated with prognosis and identify potential biomarkers that best reflect the biological and clinical characteristics of subtypes. Methods Unsupervised hierarchical clustering analysis was applied to gene expression data from 177 patients with colorectal cancer to determine a prognostic gene expression signature. Validation of the signature was sought in two independent patient groups. The association between the signature and prognosis of patients was assessed by Kaplan-Meier plots, log-rank tests and the Cox model. Results The authors identified a gene signature that was associated with overall survival and disease-free survival in 177 patients and validated in two independent cohorts of 213 patients. In multivariate analysis, the signature was an independent risk factor (HR 3.08; 95% CI 1.33 to 7.14; p=0.008 for overall survival). Subset analysis of patients with AJCC (American Joint Committee on Cancer) stage III cancer revealed that the signature can also identify the patients who have better outcome with adjuvant chemotherapy (CTX). Adjuvant chemotherapy significantly affected disease-free survival in patients in subtype B (3-year rate, 71.2% (CTX) vs 41.9% (no CTX); p=0.004). However, such benefit of adjuvant chemotherapy was not significant for patients in subtype A. Conclusion The gene signature is an independent predictor of response to chemotherapy and clinical outcome in patients with colorectal cancer.
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Oh, Sang Cheul
Guro Hospital (Department of Medical Oncology and Hematology, Guro Hospital)
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