Evidence map›Paper›PMID 26979459›Full record

ArticleBMC cancer2016

Different Array CGH profiles within hereditary breast cancer tumors associated to BRCA1 expression and overall survival.

Carolina Alvarez, Andrés Aravena, Teresa Tapia, Ester Rozenblum, Luisa Solís, Alejandro Corvalán, Mauricio Camus, Manuel Alvarez, David Munroe, Alejandro Maass and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2016. 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
2.0field-weighted citation impact, top 16% 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, 21 citations in OpenAlex.

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  8. GDF11/BMP11 as a novel tumor marker for liver cancer.Experimental and therapeutic medicine · 2018
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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

11 authors at 5 institutions in 3 countries.

Carolina AlvarezDepartment of Cellular and Molecular Biology, Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile.
Andrés AravenaMathomics, Center for Mathematical Modeling (UMI 2807 CNRS) and Center for Genome Regulation (Fondap 15090007), University of Chile, Santiago, Chile.
Teresa TapiaDepartment of Cellular and Molecular Biology, Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile.
Ester RozenblumLaboratory of Molecular Technology Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA.
Luisa SolísDepartment of Anatomo-Pathology, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Alejandro CorvalánDepartment of Anatomo-Pathology, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Mauricio CamusCancer Center, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Manuel AlvarezClinica Las Condes, Santiago, Chile.
David MunroeLaboratory of Molecular Technology Advanced Technology Program, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA.
Alejandro MaassMathomics, Center for Mathematical Modeling (UMI 2807 CNRS) and Center for Genome Regulation (Fondap 15090007), University of Chile, Santiago, Chile.
Pilar CarvalloDepartment of Cellular and Molecular Biology, Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile. pcarvallo@bio.puc.cl.
Pontificia Universidad Católica de Chile · CLNational Cancer Institute · USClínica Las Condes · CLIstanbul University · TRUniversity of Chile · CL

Funding

NCI NIH HHS N01 CO012400NCI NIH HHS N01-CO-12400
6 · The paper itself

Abstract

backgroundArray CGH analysis of breast tumors has contributed to the identification of different genomic profiles in these tumors. Loss of DNA repair by BRCA1 functional deficiency in breast cancer has been proposed as a relevant contribution to breast cancer progression for tumors with no germline mutation. Identifying the genomic alterations taking place in BRCA1 not expressing tumors will lead us to a better understanding of the cellular functions affected in this heterogeneous disease. Moreover, specific genomic alterations may contribute to the identification of potential therapeutic targets and offer a more personalized treatment to breast cancer patients.

methodsForty seven tumors from hereditary breast cancer cases, previously analyzed for BRCA1 expression, and screened for germline BRCA1 and 2 mutations, were analyzed by Array based Comparative Genomic Hybridization (aCGH) using Agilent 4x44K arrays. Overall survival was established for tumors in different clusters using Log-rank (Mantel-Cox) Test. Gene lists obtained from aCGH analysis were analyzed for Gene Ontology enrichment using GOrilla and DAVID tools.

resultsGenomic profiling of the tumors showed specific alterations associated to BRCA1 or 2 mutation status, and BRCA1 expression in the tumors, affecting relevant cellular processes. Similar cellular functions were found affected in BRCA1 not expressing and BRCA1 or 2 mutated tumors. Hierarchical clustering classified hereditary breast tumors in four major, groups according to the type and amount of genomic alterations, showing one group with a significantly poor overall survival (p = 0.0221). Within this cluster, deletion of PLEKHO1, GDF11, DARC, DAG1 and CD63 may be associated to the worse outcome of the patients.

conclusionsThese results support the fact that BRCA1 lack of expression in tumors should be used as a marker for BRCAness and to select these patients for synthetic lethality approaches such as treatment with PARP inhibitors. In addition, the identification of specific alterations in breast tumors associated with poor survival, immune response or with a BRCAness phenotype will allow the use of a more personalized treatment in these patients.

Indexed as

Comparative Genomic HybridizationBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCluster AnalysisFemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansMutationNeoplasm ProteinsBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanNeoplasm ProteinsArray CGHBRCAXBreast cancerGenomic gainsGenomic lossesOncogenesTumor suppressor

Identifiers

PMID26979459
PMCPMC4791866
OpenAlexW2301607324

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.