A prognostic index based on an eleven gene signature to predict systemic recurrences in colorectal cancer

Approximately half of colorectal cancer (CRC) patients experience disease recurrence and metastasis, and these individuals frequently fail to respond to treatment due to their clinical and biological diversity. Here, we aimed to identify a prognostic signature consisting of a small gene group for pr...

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Bibliographic Details
Published in:Experimental & molecular medicine 2019, 51(0), , pp.1-12
Main Authors: Kim, Seon-Kyu, Kim, Seon-Young, Kim, Chan Wook, Roh, Seon Ae, Ha, Ye Jin, Lee, Jong Lyul, Heo, Haejeong, Cho, Dong-Hyung, Lee, Ju-Seog, Kim, Yong Sung, Kim, Jin Cheon
Format: Article
Language:English
Subjects:
38/39
38/91
45/77
631/67/1504/1885
631/67/69
692/53/2422
Aged
Biomarkers, Tumor - genetics
Biomedical and Life Sciences
Biomedicine
Chemotherapy
Colorectal cancer
Colorectal carcinoma
Colorectal Neoplasms - genetics
Colorectal Neoplasms - pathology
Comparative analysis
Disease-Free Survival
Female
Gene Expression Profiling
Gene Expression Regulation, Neoplastic - genetics
Humans
Kaplan-Meier Estimate
Male
Medical Biochemistry
Metastases
Middle Aged
Molecular Medicine
Neoplasm Proteins - genetics
Neoplasm Recurrence, Local - genetics
Neoplasm Recurrence, Local - pathology
Patients
Polymerase chain reaction
Prognosis
Ribonucleic acid
Risk Factors
Risk groups
RNA
Stem Cells
Transcriptome - genetics
생화학
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Summary:Approximately half of colorectal cancer (CRC) patients experience disease recurrence and metastasis, and these individuals frequently fail to respond to treatment due to their clinical and biological diversity. Here, we aimed to identify a prognostic signature consisting of a small gene group for precisely predicting CRC heterogeneity. We performed transcriptomic profiling using RNA-seq data generated from the primary tissue samples of 130 CRC patients. A prognostic index (PI) based on recurrence-associated genes was developed and validated in two larger independent CRC patient cohorts ( n  = 795). The association between the PI and prognosis of CRC patients was evaluated using Kaplan–Meier plots, log-rank tests, a Cox regression analysis and a RT-PCR analysis. Transcriptomic profiling in 130 CRC patients identified two distinct subtypes associated with systemic recurrence. Pathway enrichment and RT-PCR analyses revealed an eleven gene signature incorporated into the PI system, which was a significant prognostic indicator of CRC. Multivariate and subset analyses showed that PI was an independent risk factor (HR = 1.812, 95% CI = 1.342–2.448, P  
ISSN:1226-3613
2092-6413
DOI:10.1038/s12276-019-0319-y