In silico pathway analysis based on chromosomal instability in breast cancer patients.

ABSTRACT:

Background

Complex genomic changes that arise in tumors are a consequence of chromosomal instability. In tumor cells genomic aberrations disrupt core signaling pathways involving various genes, thus delineating of signaling pathways can help understand the pathogenesis of cancer. The bioinformatics tools can further help in identifying networks of interactions between the genes to get a greater biological context of all genes affected by chromosomal instability.

Methods

Karyotypic analyses was done in 150 clinically confirmed breast cancer patients and 150 age and gender matched healthy controls after 72 h Peripheral lymphocyte culturing and GTG-banding. Reactome database from Cytoscape software version 3.7.1 was used to perform in-silico analysis (functional interaction and

SUBMITTER: Kour A 

PROVIDER: S-EPMC7653868 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature