Evidence map›Paper›PMID 42636242›Full record

ArticlePloS one2026

Exome-based cancer driver gene comprehensive testing can provide a genetic diagnosis for individuals with triple-negative breast cancer.

Daniel Alzate, Angel Yobany Sánchez, Yovana Pacheco, Mario Isaza Ruget, Ramiro Sánchez, Carolina Castillo, Carlos A Parra-López

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Daniel AlzateImmunology and Translational Medicine Group, Faculty of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia.
Angel Yobany SánchezDepartment of Pathology, Faculty of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia.
Yovana PachecoClinical Pathology Research Group (INPAC), Research Unit, Fundación Universitaria Sanitas, Bogotá, Colombia.
Mario Isaza RugetClinical Pathology Research Group (INPAC), Research Unit, Fundación Universitaria Sanitas, Bogotá, Colombia.
Ramiro SánchezClínica del Seno, Bogotá, Colombia.
Carolina CastilloClínica del Seno, Bogotá, Colombia.
Carlos A Parra-LópezImmunology and Translational Medicine Group, Faculty of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia.ORCID https://orcid.org/0000-0002-6084-8981

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is characterized by aggressive behaviour, high tumor heterogeneity, and an increased likelihood of recurrence and early metastasis. These factors hinder successful treatment. Genetic diagnosis enables personalized clinical recommendations and treatment options. The objective of this study was to validate whole-exome sequencing (WES) and variant prioritization in cancer susceptibility genes (CSG) associated with hereditary cancer (HC) predisposition in TNBC patients (n = 24). We present the development of a reproducible bioinformatic pipeline and its technical validation in a validation cohort (n = 25). This cohort comprised individuals with diverse primary tumors who had a previously confirmed molecular diagnosis of a hereditary cancer syndrome, serving as gold-standard cases to assess the pipeline's analytical accuracy. We consolidated a comprehensive panel of cancer genes and determined all variants in the TNBC discovery cohort (12.5% of patients), identifying three pathogenic germline variants (gPV) in ATM, RAD51D, and BRCA1. These genes are involved in the molecular pathway of DNA repair by homologous recombination (HRD). Our results demonstrate that the developed bioinformatic pipeline provides reliable genetic diagnosis of cancer predisposition syndromes from exome data, applicable not only to TNBC patients but also to individuals with any cancer suspected of having a hereditary component.

Indexed as

ExomeGenetic TestingTriple Negative Breast NeoplasmsAdultAgedBRCA1 ProteinComputational BiologyExome SequencingFemaleGenetic Predisposition to DiseaseGerm-Line MutationHumansMiddle AgedBRCA1 Protein

Identifiers

PMID42636242
PMCPMC13502651

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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.