Evidence map›Paper›PMID 37789896›Full record

ArticleBreast cancer : basic and clinical research2023

Homologous Recombination Abnormalities Associated With

Maher Albitar, Hong Zhang, Andrew Pecora, Stanley Waintraub, Deena Graham, Mira Hellmann, Donna McNamara, Ahmad Charifa, Ivan De Dios, Wanlong Ma and 1 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer : basic and clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. The Zinc Finger Ran-Binding Protein 3 (ZRANB3): An Advanced Perspective.International journal of molecular sciences · 2026
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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 2 institutions in 1 country.

Maher AlbitarGenomic Testing Cooperative, Irvine, CA, USA.
Hong ZhangGenomic Testing Cooperative, Irvine, CA, USA.
Andrew PecoraJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, USA.
Stanley WaintraubJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, USA.
Deena GrahamJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, USA.
Mira HellmannJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, USA.
Donna McNamaraJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, USA.
Ahmad CharifaGenomic Testing Cooperative, Irvine, CA, USA.
Ivan De DiosGenomic Testing Cooperative, Irvine, CA, USA.
Wanlong MaGenomic Testing Cooperative, Irvine, CA, USA.
Andre GoyJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, USA.
Hackensack University Medical Center · USGenomic Health (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Homologous recombination deficiency (HRD) is the hallmark of breast cancer gene 1/2 ( Objectives: We explored the potential of developing a practical approach to predict in any tumor the presence of HRD that is similar to that seen in tumors with Design: We use copy number alteration (CNA) generated from routine-targeted NGS data along with a modified naïve Bayesian model for the prediction of the presence of HRD. Methods: The CNA from NGS of 434 targeted genes was analyzed using CNVkit software to calculate the log2 of CNA changes. The log2 values of various sequencing reads (bins) were used in ML to train the system on predicting tumors with Results: Using 31 breast or ovarian cancers with Conclusions: These data demonstrate that CNA when combined with ML can reliably predict the presence of

Indexed as

BRCA1BRCA2copy number variationdouble-strand breakHomologous recombination deficiencymachine learningnext-generation sequencingPARP inhibitorspredictionresponse

Identifiers

PMID37789896
PMCPMC10542224
OpenAlexW4387224377

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.