Evidence map›Paper›PMID 21059815›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2011

Gene expression profiles of estrogen receptor-positive and estrogen receptor-negative breast cancers are detectable in histologically normal breast epithelium.

Kelly Graham, Xijin Ge, Antonio de Las Morenas, Anusri Tripathi, Carol L Rosenberg

Abstract readComparative Study
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

47 citing papers in PubMed, 79 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

5 authors at 3 institutions in 1 country.

Kelly GrahamGenetics and Genomics Program and Department of Pathology, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts, USA.
Xijin Ge
Antonio de Las Morenas
Anusri Tripathi
Carol L Rosenberg
Boston Medical Center · USBoston University · USSouth Dakota State University · US

Funding

Large-scale expression analysis of natural antisense transcriptsR01GM083226 · NIGMS · SOUTH DAKOTA STATE UNIVERSITY · PI GE, XIJIN · 2009 to 2012
$837k
Genetic Signatures of Preinvasive Breast DiseaseR21CA115434 · NCI · BOSTON MEDICAL CENTER · PI ROSENBERG, CAROL L · 2007 to 2008
$354k
PIXCELL IIE LASER CAPTURE MICRODISSECTION INSTRUMENT: LUNG STUDIESS10RR021211 · NCRR · BOSTON MEDICAL CENTER · PI ROSENBERG, CAROL L · 2005 to 2005
$133k
NCI NIH HHS CA115434NCI NIH HHS R21 CA115434NCRR NIH HHS S10 RR021211NIGMS NIH HHS GM083226NIGMS NIH HHS R01 GM083226
6 · The paper itself

Abstract

purposePreviously, we found that gene expression in histologically normal breast epithelium (NlEpi) from women at high breast cancer risk can resemble gene expression in NlEpi from cancer-containing breasts. Therefore, we hypothesized that gene expression characteristic of a cancer subtype might be seen in NlEpi of breasts containing that subtype. EXPERIMENTAL

designWe examined gene expression in 46 cases of microdissected NlEpi from untreated women undergoing breast cancer surgery. From 30 age-matched cases [15 estrogen receptor (ER)+, 15 ER-] we used Affymetryix U133A arrays. From 16 independent cases (9 ER+, 7 ER-), we validated selected genes using quantitative real-time PCR (qPCR). We then compared gene expression between NlEpi and invasive breast cancer using four publicly available data sets.

resultsWe identified 198 genes that are differentially expressed between NlEpi from breasts with ER+ (NlEpiER+) compared with ER- cancers (NlEpiER-). These include genes characteristic of ER+ and ER- cancers (e.g., ESR1, GATA3, and CX3CL1, FABP7). qPCR validated the microarray results in both the 30 original cases and the 16 independent cases. Gene expression in NlEpiER+ and NlEpiER- resembled gene expression in ER+ and ER- cancers, respectively: 25% to 53% of the genes or probes examined in four external data sets overlapped between NlEpi and the corresponding cancer subtype.

conclusionsGene expression differs in NlEpi of breasts containing ER+ compared with ER- breast cancers. These differences echo differences in ER+ and ER- invasive cancers. NlEpi gene expression may help elucidate subtype-specific risk signatures, identify early genomic events in cancer development, and locate targets for prevention and therapy.

Indexed as

Gene Expression ProfilingAdultAgedAged, 80 and overBreastBreast NeoplasmsEpitheliumFemaleHumansMiddle AgedNeoplasms, Hormone-DependentReceptors, EstrogenReceptors, Estrogen

Identifiers

PMID21059815
PMCPMC3059257
OpenAlexW2156555688

What OpenQuestion holds

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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.