Evidence map›Paper›PMID 28863181›Full record

ArticlePloS one2017

BRCA1 protein expression and subcellular localization in primary breast cancer: Automated digital microscopy analysis of tissue microarrays.

Abeer M Mahmoud, Virgilia Macias, Umaima Al-Alem, Ryan J Deaton, Andre Kadjaksy-Balla, Peter H Gann, Garth H Rauscher

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 23 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

7 authors at 1 institution in 2 countries.

Abeer M MahmoudCollege of Applied Health Sciences, University of Illinois at Chicago, Chicago, Illinois, United States of America.ORCID http://orcid.org/0000-0002-0295-6706
Virgilia MaciasDepartment of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Umaima Al-AlemDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Ryan J DeatonDepartment of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Andre Kadjaksy-BallaDepartment of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Peter H GannDepartment of Pathology, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Garth H RauscherDivision of Epidemiology and Biostatistics, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, United States of America.
University of Illinois Chicago · US

Funding

UIC CENTERS FOR POPULATION HEALTH AND HEALTH DISPARITIESP50CA106743 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI WARNECKE, RICHARD · 2003 to 2016
$19.3M
Validation of Digital Morphometry for Cancer Risk in Benign Prostate BiopsiesR01CA155301 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GANN, PETER H. · 2011 to 2015
$1.7M
NCI NIH HHS P50 CA106743NCI NIH HHS R01 CA155301
6 · The paper itself

Abstract

purposeMutations in BRCA1 are associated with familial as well as sporadic aggressive subtypes of breast cancer, but less is known about whether BRCA1 expression or subcellular localization contributes to progression in population-based settings.

methodsWe examined BRCA1 expression and subcellular localization in invasive breast cancer tissues from an ethnically diverse sample of 286 patients and 36 normal breast tissue controls. Two different methods were used to label breast cancer tissues for BRCA1: (1) Dual immunofluoresent staining with BRCA1 and cytokeratin 8/18 and (2) immunohistochemical staining using the previously validated MS110 mouse monoclonal antibody. Slides were visualized and quantified using the VECTRA Automated Multispectral Image Analysis System and InForm software.

resultsBRCA1 staining was more intense in normal than in invasive breast tissue for both cytoplasmic (p<0.0001) and nuclear (p<0.01) compartments. BRCA1 nuclear to cytoplasmic ratio was higher in breast cancer cells than in normal mammary epithelial cells. Reduced BRCA1 expression was associated with high tumor grade and negative hormone receptors (estrogen receptor, progesterone receptor and Her2). On the other hand, high BRCA1 expression correlated with basal-like tumors (high CK5/6 and EGFR), and high nuclear androgen receptor staining. Lower nuclear to cytoplasmic ratio of BRCA1 correlated significantly with high Ki67 labeling index (p< 0.05) and family history of breast cancer (p = 0.001).

conclusionFindings of this study indicate that alterations in BRCA1 protein expression and subcellular localization in breast cancer correlate with poor prognostic markers and aggressive tumor features. Further large-scale studies are required to assess the potential relevance of BRCA1 protein expression and localization in routine classification of breast cancer.

Indexed as

Electronic Data ProcessingMutationAgedAnimalsBRCA1 ProteinBreast NeoplasmsCell NucleusCross-Sectional StudiesCytoplasmFemaleHumansImmunohistochemistryMiceMicroscopyMicroscopy, FluorescenceMiddle AgedBRCA1 ProteinBRCA1 protein, human

Identifiers

PMID28863181
PMCPMC5581176
OpenAlexW2752015986

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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.