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Cancer stem cell associated eight gene-based signature predicts clinical outcomes of colorectal cancer.

Authors
  • Dong, Chuanpeng1
  • Cui, Danni1
  • Liu, Gang1
  • Xu, Huilin1
  • Peng, Xueqing1
  • Duan, Juan2, 3
  • Liu, Lei1
  • 1 Institute of Biomedical Sciences, Fudan University, Shanghai 200032, P.R. China. , (China)
  • 2 Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350004, P.R. China. , (China)
  • 3 Translational Medicine Institute, Fujian Medical University, Fuzhou, Fujian 350004, P.R. China. , (China)
Type
Published Article
Journal
Oncology Letters
Publisher
Spandidos Publications
Publication Date
Jan 01, 2019
Volume
17
Issue
1
Pages
442–449
Identifiers
DOI: 10.3892/ol.2018.9533
PMID: 30655785
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Previous studies have suggested that cancer stem cells serve crucial functions in tumorigenesis, metastasis and therapy failure. Stem cell signaling transduction pathways are frequently dysregulated in cancer and associated with tumorigenesis, metastasis and the cell cycle, which are necessary for cancer proliferation. However, cancer stem cell-associated gene signatures have not been established for predicting patient outcomes in colorectal cancer. Using a gene-mining approach, the present study performed mRNA expression profiling in large colorectal cancer cohorts from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database, including a TCGA colorectal cancer cohort (n=383) and three independent validation series GSE39582 (n=582), GSE17536 (n=177) and GSE17537 (n=55). The present study identified that an eight-gene signature in cancer stem cell signaling was associated with the overall survival and disease/recurrence-free survival of patients with colorectal. On the basis of this signature, patients in the TCGA training sets were divided into high-risk and low-risk subgroups with a significantly different overall survival rate (hazard ratio, 2.38; P=0.0005). The prognostic value of this signature was confirmed using three independent GEO colorectal cancer sets. Identifying this prognostic stem cell signaling signature may provide an efficient classification tool for clinical prognosis evaluation, and facilitate cancer stem cell-targeted therapy.

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