Evidence map›Paper›PMID 25060555›Full record

ArticleBreast cancer research : BCR2014

A signature of epithelial-mesenchymal plasticity and stromal activation in primary tumor modulates late recurrence in breast cancer independent of disease subtype.

Qing Cheng, Jeffrey T Chang, William R Gwin, Jun Zhu, Stefan Ambs, Joseph Geradts, H Kim Lyerly

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

39 citing papers in PubMed, 72 citations in OpenAlex.

  1. Review
  2. Multi-omic Profiling of Recurrence Risk Across Breast Cancer Subtypes.medRxiv : the preprint server for health sciences · 2026
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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 at 5 institutions in 1 country.

Qing Cheng
Jeffrey T Chang
William R Gwin
Jun Zhu
Stefan Ambs
Joseph Geradts
H Kim Lyerly
Duke Medical Center · USDuke University Hospital · USNational Cancer Institute · USNational Heart Lung and Blood Institute · USThe University of Texas Health Science Center at Houston · US

Funding

DNA Sequencing Core (DSC)ZICHL006058 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI ZHU, JUN · 2010 to 2016
$16.6M
Novel Markers for Disease Outcome in Breast CancerZIABC010887 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI AMBS, STEFAN · 2009 to 2025
$11.5M
Clinical Oncology Research Career Development ProgramK12CA100639 · NCI · DUKE UNIVERSITY · PI LYERLY, HERBERT KIM · 2004 to 2013
$8.0M
NCI NIH HHS K12 CA100639NCI NIH HHS K12-CA100639-08
6 · The paper itself

Abstract

introductionDespite improvements in adjuvant therapy, late systemic recurrences remain a lethal consequence of both early- and late-stage breast cancer. A delayed recurrence is thought to arise from a state of tumor dormancy, but the mechanisms that govern tumor dormancy remain poorly understood.

methodsTo address the features of breast tumors associated with late recurrence, but not confounded by variations in systemic treatment, we compiled breast tumor gene expression data from 4,767 patients and established a discovery cohort consisting of 743 lymph node-negative patients who did not receive systemic neoadjuvant or adjuvant therapy. We interrogated the gene expression profiles of the 743 tumors and identified gene expression patterns that were associated with early and late disease recurrence among these patients. We applied this classification to a subset of 46 patients for whom expression data from microdissected tumor epithelium and stroma was available, and identified a distinct gene signature in the stroma and also a corresponding tumor epithelium signature that predicted disease recurrence in the discovery cohort. This tumor epithelium signature was then validated as a predictor for late disease recurrence in the entire cohort of 4,767 patients.

resultsWe identified a novel 51-gene signature from microdissected tumor epithelium associated with late disease recurrence in breast cancer independent of the molecular disease subtype. This signature correlated with gene expression alterations in the adjacent tumor stroma and describes a process of epithelial to mesenchymal transition (EMT) and tumor-stroma interactions.

conclusionsOur findings suggest that an EMT-related gene signature in the tumor epithelium is related to both stromal activation and escape from disease dormancy in breast cancer. The presence of a late recurrence gene signature in the primary tumor also suggests that intrinsic features of this tumor regulate the transition of disseminated tumor cells into a dormant phenotype with the ability to outgrowth as recurrent disease.

Indexed as

TranscriptomeAdultAgedBiomarkers, TumorBreast NeoplasmsCluster AnalysisDatasets as TopicEpithelial-Mesenchymal TransitionFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiddle AgedNeoplasm GradingNeoplasm MetastasisNeoplasm Recurrence, LocalBiomarkers, Tumor

Identifiers

PMID25060555
PMCPMC4187325
OpenAlexW2142232788

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.