Evidence map›Paper›PMID 29146938›Full record

ArticleScientific reports2017

Computational Investigation of Homologous Recombination DNA Repair Deficiency in Sporadic Breast Cancer.

Yue Wang, Matthew H Ung, Sharon Cantor, Chao Cheng

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
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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

4 authors at 3 institutions in 2 countries.

Yue WangSchool of Electronic Information and Communications at Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
Matthew H UngDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth College, Hanover, NH, 03755, USA.
Sharon CantorDepartment of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, MA, 01605, USA.
Chao ChengDepartment of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth College, Hanover, NH, 03755, USA. Chao.Cheng@dartmouth.edu.
Dartmouth College · USHuazhong University of Science and Technology · CNUniversity of Massachusetts Chan Medical School · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
SYNERGY: The Dartmouth Center for clinical and Translational ScienceUL1TR001086 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$18.3M
Quantitative Biology Research InstituteP20GM103534 · NIGMS · DARTMOUTH COLLEGE · PI AMOS, CHRISTOPHER I. · 2012 to 2016
$8.6M
SYNERGY: The Dartmouth Center for clinical and Translational ScienceKL2TR001088 · NCATS · DARTMOUTH COLLEGE · PI GREEN, ALAN I · 2013 to 2017
$3.3M
NCATS NIH HHS KL2 TR001088NCATS NIH HHS UL1 TR001086NCI NIH HHS P30 CA023108NIGMS NIH HHS P20 GM103534
6 · The paper itself

Abstract

BRCAness has important implications in the management and treatment of patients with breast and ovarian cancer. In this study, we propose a computational framework to measure the BRCAness of breast and ovarian tumor samples based on their gene expression profiles. We define a characteristic profile for BRCAness by comparing gene expression differences between BRCA1/2 mutant familial tumors and sporadic breast cancer tumors while adjusting for relevant clinical factors. With this BRCAness profile, our framework calculates sample-specific BRCA scores, which indicates homologous recombination (HR)-mediated DNA repair pathway activity of samples. We found that in sporadic breast cancer high BRCAness score is associated with aberrant copy number of HR genes rather than somatic mutation and other genomic features. Moreover, we observed significant correlations of BRCA score with genome instability and neoadjuvant chemotherapy. More importantly, BRCA score provides significant prognostic value in both breast and ovarian cancers after considering established clinical variables. In summary, the inferred BRCAness from our framework can be used as a robust biomarker for the prediction of prognosis and treatment response in breast and ovarian cancers.

Indexed as

Recombinational DNA RepairBreast NeoplasmsChemotherapy, AdjuvantComputational BiologyFemaleGenome, HumanHumansNeoadjuvant TherapyOvarian NeoplasmsPrognosis

Identifiers

PMID29146938
PMCPMC5691048
OpenAlexW2767420915

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.