Evidence map›Paper›PMID 25537514›Full record

ArticleOncotarget2015

The BRCA1/2-directed miRNA signature predicts a good prognosis in ovarian cancer patients with wild-type BRCA1/2.

Yunyan Gu, Mengmeng Zhang, Fuduan Peng, Lei Fang, Yuanyuan Zhang, Haihai Liang, Wenbin Zhou, Lu Ao, Zheng Guo

Abstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
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

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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

26 citing papers in PubMed.

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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

9 authors.

Yunyan GuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Mengmeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Fuduan PengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Lei FangDepartment of Obstetrics and Gynecology, the Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yuanyuan ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Haihai LiangDepartment of Pharmacology, Harbin Medical University, Harbin, China.
Wenbin ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Lu AoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Zheng GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer patients carrying alterations (i.e., germline mutations, somatic mutations, hypermethylations and/or deletions) of BRCA1 or BRCA2 (BRCA1/2) have a better prognosis than BRCA1/2 alteration non-carriers. However, patients with wild-type BRCA1/2 may also have a favorable prognosis as a result of other mechanisms that remain poorly elucidated, such as the deregulation of miRNAs. We therefore sought to identify BRCA1/2-directed miRNA signatures that have prognostic value in ovarian cancer patients with wild-type BRCA1/2 and study how the deregulation of miRNAs impacts the prognosis of patients treated with platinum-based chemotherapy. By analyzing multidimensional datasets of ovarian cancer patients from the TCGA data portal, we identified three miRNAs (hsa-miR-146a, hsa-miR-148a and hsa-miR-545) that target BRCA1/2 and were associated with overall survival and progression-free survival in patients with wild-type BRCA1/2. By analyzing the expression profiles and Gene Ontology functional enrichment, we found that carriers of BRCA1/2 alterations and patients with miRNA deregulation shared a common mechanism, regulation of the DNA repair-related pathways, that affects the prognosis of ovarian cancer patients. Our work highlights that a proportion of patients with wild-type BRCA1/2 ovarian cancers benefit from platinum-based chemotherapy and that the patients who benefit could be predicted from BRCA1/2-directed miRNA signature.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBRCA1 ProteinBRCA2 ProteinDisease-Free SurvivalFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenotypeHumansMicroRNAsMiddle AgedMultivariate AnalysisOvarian NeoplasmsBRCA1 ProteinBRCA2 ProteinMicroRNAsMIR545 microRNA, humanMIRN146 microRNA, humanMIRN148 microRNA, humanPlatinum

Identifiers

PMID25537514
PMCPMC4385859

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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.