Evidence map›Paper›PMID 27172895›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2016

High Intratumoral Stromal Content Defines Reactive Breast Cancer as a Low-risk Breast Cancer Subtype.

Jennifer B Dennison, Maria Shahmoradgoli, Wenbin Liu, Zhenlin Ju, Funda Meric-Bernstam, Charles M Perou, Aysegul A Sahin, Alana Welm, Steffi Oesterreich, Matthew J Sikora and 2 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Jennifer B DennisonDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Maria ShahmoradgoliDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Wenbin LiuDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Zhenlin JuDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Funda Meric-BernstamInvestigational Cancer Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Charles M PerouDepartment of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Aysegul A SahinDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Alana WelmHuntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
Steffi OesterreichDepartment of Pharmacology and Chemical Biology, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania.
Matthew J SikoraDepartment of Pharmacology and Chemical Biology, University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania.
Robert E BrownDepartment of Pathology and Laboratory Medicine, The University of Texas Health Science Center, Houston, Texas.
Gordon B MillsDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas. gmills@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USUPMC Hillman Cancer Center · USHuntsman Cancer Institute · USThe University of Texas Health Science Center · USUniversity of North Carolina at Chapel Hill · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
Therapeutic Targeting of Breast Cancer Tumor Initiating CellsR01CA148761 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEROU, CHARLES M, ROSEN, JEFFREY MARK · 2010 to 2025
$6.5M
Biological annotation of TCGA dataU01CA168394 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MILLS, GORDON B. · 2012 to 2016
$4.7M
Computational RNA NanodesignZ01BC011061 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SHAPIRO, BRUCE · 2008 to 2008
$513k
Elucidating the function of WNT4 in endocrine response and resistance in invasive lobular carcinomaK99CA193734 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIKORA, MATTHEW J · 2015 to 2016
$256k
Intramural NIH HHS Z01 BC011061NCI NIH HHS K99 CA193734NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA148761NCI NIH HHS U01 CA168394
6 · The paper itself

Abstract

purposeThe current study evaluated associative effects of breast cancer cells with the tumor microenvironment and its influence on tumor behavior. EXPERIMENTAL

designFormalin-fixed, paraffin-embedded tissue and matched protein lysates were evaluated from two independent breast cancer patient datasets (TCGA and MD Anderson). Reverse-phase protein arrays (RPPA) were utilized to create a proteomics signature to define breast tumor subtypes. Expression patterns of cell lines and normal breast tissues were utilized to determine markers that were differentially expressed in stroma and cancer cells. Protein localization and stromal contents were evaluated for matched cases by imaging.

resultsA subtype of breast cancers designated "Reactive," previously identified by RPPA that was not predicted by mRNA profiling, was extensively characterized. These tumors were primarily estrogen receptor (ER)-positive/human EGF receptor (HER)2-negative, low-risk cancers as determined by enrichment of low-grade nuclei, lobular or tubular histopathology, and the luminal A subtype by PAM50. Reactive breast cancers contained high numbers of stromal cells and the highest extracellular matrix content typically without infiltration of immune cells. For ER-positive/HER2-negative cancers, the Reactive classification predicted favorable clinical outcomes in the TCGA cohort (HR, 0.36; P < 0.05).

conclusionsA protein stromal signature in breast cancers is associated with a highly differentiated phenotype. The stromal compartment content and proteins are an extended phenotype not predicted by mRNA expression that could be utilized to subclassify ER-positive/HER2-negative breast cancers. Clin Cancer Res; 22(20); 5068-78. ©2016 AACR.

Indexed as

Biomarkers, TumorBreast NeoplasmsCadherinsCell Line, TumorDNA, NeoplasmErb-b2 Receptor Tyrosine KinasesFemaleGene Expression Regulation, NeoplasticHumansMCF-7 CellsMiddle AgedReceptors, EstrogenRNA, NeoplasmTumor MicroenvironmentBiomarkers, TumorCadherinsDNA, NeoplasmERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenRNA, Neoplasm

Identifiers

PMID27172895
PMCPMC5103285
OpenAlexW2355331893

What OpenQuestion holds

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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.