Evidence map›Paper›PMID 21997556›Full record

ArticleGut2012

Prognostic gene expression signature associated with two molecularly distinct subtypes of colorectal cancer.

Sang Cheul Oh, Yun-Yong Park, Eun Sung Park, Jae Yun Lim, Soo Mi Kim, Sang-Bae Kim, Jongseung Kim, Sang Cheol Kim, In-Sun Chu, J Joshua Smith and 4 more

Registry-linked trialAbstract read
In one paragraph

Article in Gut, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00899626 (Novel Colon Cancer Markers in Gastrointestinal Tissue and Biofluids), which is not on this map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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.

NCT00899626 recruitingnot on this map

Novel Colon Cancer Markers in Gastrointestinal Tissue and Biofluids

TypeobservationalSponsorVanderbilt University Medical CenterRan2002 to 2045Enrolled5,000ConditionsColorectal Cancer, Esophageal Cancer, Gastric Cancer, Pancreatic Cancer
3 · Its place in the literature

Who cites it

49 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Novel Genetic and Epigenetic Biomarkers of Prognostic and Predictive Significance in Stage II/III Colorectal Cancer.Molecular therapy : the journal of the American Society of Gene Therapy · 2021
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Clinical Significance of Four Molecular Subtypes of Gastric Cancer Identified by The Cancer Genome Atlas Project.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Article
  17. Article
  18. Review
  19. Article
  20. Development and Validation of a Six-Gene Recurrence Risk Score Assay for Gastric Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    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

14 authors.

Sang Cheul OhDepartment of Systems Biology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Yun-Yong Park
Eun Sung Park
Jae Yun Lim
Soo Mi Kim
Sang-Bae Kim
Jongseung Kim
Sang Cheol Kim
In-Sun Chu
J Joshua Smith
R Daniel Beauchamp
Timothy J Yeatman
Scott Kopetz
Ju-Seog Lee

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
Understanding and Controlling p120 Dysfunction in CRCP50CA095103 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COFFEY, ROBERT J. · 2002 to 2017
$33.6M
Targeting CDK4 in TGS-B Inactivated Gastrointestinal CancersP01CA130821 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MISHRA, LOPA · 2008 to 2013
$6.9M
REGULATION OF GUT EPITHELIAL CELL PROLIFERATIONR01CA069457 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BEAUCHAMP, ROBERT DANIEL · 1995 to 2016
$4.4M
Center for Clinical and Translational Sciences (CCTS)KL2TR000370 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$4.3M
Systems Approach to the Biological Basis of Colon Cancer MetastasesR01GM088822 · NIGMS · VANDERBILT UNIVERSITY · PI BEAUCHAMP, ROBERT DANIEL, ZHANG, BING · 2009 to 2012
$1.5M
NCATS NIH HHS KL2 TR000370NCI NIH HHS CA068485NCI NIH HHS CA069457NCI NIH HHS CA095103NCI NIH HHS P01 CA130821NCI NIH HHS P30 CA016672NCI NIH HHS P30 CA068485NCI NIH HHS P30 CA076292NCI NIH HHS P50 CA095103NCI NIH HHS R01 CA069457NIGMS NIH HHS GM088822NIGMS NIH HHS R01 GM088822
6 · The paper itself

Abstract

aimsDespite 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.

methodsUnsupervised 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.

resultsThe 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.

conclusionThe gene signature is an independent predictor of response to chemotherapy and clinical outcome in patients with colorectal cancer.

Indexed as

AdultAgedAged, 80 and overAntineoplastic AgentsChemotherapy, AdjuvantCluster AnalysisCohort StudiesColorectal NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisAntineoplastic Agents

Identifiers

PMID21997556
PMCPMC3419333

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Registered trials

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.