Evidence map›Paper›PMID 21251323›Full record

ArticleBMC medical genomics2011

EMT is the dominant program in human colon cancer.

Andre Loboda, Michael V Nebozhyn, James W Watters, Carolyne A Buser, Peter Martin Shaw, Pearl S Huang, Laura Van't Veer, Rob A E M Tollenaar, David B Jackson, Deepak Agrawal and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC medical genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 189 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
189citing papers in PubMed, 3 pooled it
8.5field-weighted citation impact, top 1% of its field
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

189 citing papers in PubMed, 3 syntheses or guidelines pooled it, 278 citations in OpenAlex.

  1. Prognostic and predictive values of CXCL10 in colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Pooled it
  2. The interplay between microRNAs and Twist1 transcription factor: a systematic review.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Pooled it
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  10. Unraveling Relatlimab-Specific Biology Using Biomarker Analyses in Patients with Advanced Melanoma in RELATIVITY-047.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
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129 more citing papers are in PubMed but not listed here.

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

12 authors at 5 institutions in 2 countries.

Andre LobodaMerck, Sharp and Dohme, West Point, PA 19486, USA.
Michael V Nebozhyn
James W Watters
Carolyne A Buser
Peter Martin Shaw
Pearl S Huang
Laura Van't Veer
Rob A E M Tollenaar
David B Jackson
Deepak Agrawal
Hongyue Dai
Timothy J Yeatman
Merck & Co., Inc., Rahway, NJ, USA (United States) · USMoffitt Cancer Center · USUnited States Military Academy · USLeiden University Medical Center · NLThe Netherlands Cancer Institute · NL

Funding

Chip-Based Diagnosis of Problematic Liver TumorsR01CA112215 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI YEATMAN, TIMOTHY J · 2006 to 2010
$2.3M
NCI NIH HHS CA112215
6 · The paper itself

Abstract

backgroundColon cancer has been classically described by clinicopathologic features that permit the prediction of outcome only after surgical resection and staging.

methodsWe performed an unsupervised analysis of microarray data from 326 colon cancers to identify the first principal component (PC1) of the most variable set of genes. PC1 deciphered two primary, intrinsic molecular subtypes of colon cancer that predicted disease progression and recurrence.

resultsHere we report that the most dominant pattern of intrinsic gene expression in colon cancer (PC1) was tightly correlated (Pearson R = 0.92, P < 10(-135)) with the EMT signature-- both in gene identity and directionality. In a global micro-RNA screen, we further identified the most anti-correlated microRNA with PC1 as MiR200, known to regulate EMT.

conclusionsThese data demonstrate that the biology underpinning the native, molecular classification of human colon cancer--previously thought to be highly heterogeneous-- was clarified through the lens of comprehensive transcriptome analysis.

Indexed as

Epithelial-Mesenchymal TransitionPrincipal Component AnalysisCell Line, TumorColonic NeoplasmsDisease ProgressionGene Expression ProfilingHumansRecurrenceVimentinVimentin

Identifiers

PMID21251323
PMCPMC3032646
OpenAlexW1998558839

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.