Evidence map›Paper›PMID 30655785›Full record

ArticleOncology letters2019

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

Chuanpeng Dong, Danni Cui, Gang Liu, Huilin Xu, Xueqing Peng, Juan Duan, Lei Liu

Abstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chuanpeng DongInstitute of Biomedical Sciences, Fudan University, Shanghai 200032, P.R. China.
Danni CuiInstitute of Biomedical Sciences, Fudan University, Shanghai 200032, P.R. China.
Gang LiuInstitute of Biomedical Sciences, Fudan University, Shanghai 200032, P.R. China.
Huilin XuInstitute of Biomedical Sciences, Fudan University, Shanghai 200032, P.R. China.
Xueqing PengInstitute of Biomedical Sciences, Fudan University, Shanghai 200032, P.R. China.
Juan DuanDepartment of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian 350004, P.R. China.
Lei LiuInstitute of Biomedical Sciences, Fudan University, Shanghai 200032, P.R. China.

Funding

Protective behavioral strategies and mental health: Reducing alcohol-related riskR21AA020104 · NIAAA · LOYOLA MARYMOUNT UNIVERSITY · PI LABRIE, JOSEPH W. · 2010 to 2011
$367k
NIAAA NIH HHS R21 AA020104
6 · The paper itself

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.

Indexed as

cancer stem cellcolorectal cancergene signatureprognosis

Identifiers

PMID30655785
PMCPMC6313194

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.