Work

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

Year: 2024

Type: article

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: < .001). Our findings provide a new outlook that might aid in the field of personalized medicine and therapeutic use of NTRK as a prognostic biomarker in BC. Availability and implementation: All data generated or analysed during this study are included in this published article.

Source: Bioinformatics Advances

DOI: 10.1093/bioadv/vbaf030

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

Institutions: Universal Scientific Education and Research Network, National Institute of Genetic Engineering and Biotechnology, Iran University of Medical Sciences, Mazandaran University of Medical Sciences, University of Tehran

Language: English

Topic: Breast Cancer Treatment Studies

Subfield: Cancer Research

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,917