Evidence map›Paper›PMID 40061872›Full record

ArticleBioinformatics advances2025

A comprehensive bioinformatic evaluation of the NTRK family's potential as prognostic biomarkers in breast cancer.

Ramtin Mohammadi, Mohsen Ghiasi, Saber Mehdizadeh, Javad Mohammadi, Shahla Mohammad Ganji

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Article in Bioinformatics advances, 2025. 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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5 · Who and what money

Authors and funding

5 authors.

Ramtin MohammadiDepartment of Molecular Medicine, Medical Biotechnology Institute, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, 1497716316, Iran.ORCID https://orcid.org/0000-0003-4905-7369
Mohsen GhiasiRajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, 1995614331, Iran.
Saber MehdizadehDepartment of Immunology, School of Medicine, Mazandaran University of Medical Sciences, Sari, 4815733971, Iran.
Javad MohammadiDepartment of Molecular Medicine, Medical Biotechnology Institute, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, 1497716316, Iran.
Shahla Mohammad GanjiDepartment of Molecular Medicine, Medical Biotechnology Institute, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, 1497716316, Iran.ORCID https://orcid.org/0000-0003-2032-8209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Breast cancer (BC), with its rising prevalence and mortality rate, is one of the most significant human health issues. The family of transmembrane tyrosine kinases that promote neuronal growth includes the neurotrophic tyrosine kinase receptors (NTRKs). NTRK1-3 genes encode the members of this family. Alterations of NTRK genes can induce carcinogenesis both in neurogenic and non-neurogenic cells. The prevalence of NTRK gene fusion is under 1% in solid tumours but is highly encountered in rare tumours. Since the prognostic values of NTRK families' expression in various types of cancer are becoming increasingly evident, we aimed to conduct a comprehensive bioinformatics study evaluating the prognostic significance of the NTRK family in BC. Online bioinformatic databases including TCGA, UALCAN, Kaplan-Meier plotter, bc-GenExMiner, cBioPortal, STRING, Enrichr, and TIMER were utilized for analysis. Results: High levels of NTRK2 and 3 demonstrated better associations with overall survival (OS) and recurrence-free survival (RFS) in BC patients ( Availability and implementation: All data generated or analysed during this study are included in this published article.

Identifiers

PMID40061872
PMCPMC11886811

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