Bioinformatics and network biology approach to identifying type 2 diabetes genes and pathways that influence the progression of breast cancer.

ABSTRACT: Breast cancer is the second most prevalent malignancy affecting women. Postmenopausal women breast tumor is one of the top causes of death in women, accounting for 23% of cancer cases. Type 2 diabetes, a worldwide pandemic, has been connected to a heightened risk of several malignancies, although its association with breast cancer is still uncertain. In comparison to non-diabetic women, women with T2DM had a 23% elevated likelihood of developing breast cancer. It is difficult to determine causative or genetic susceptibility that connect T2DM and breast cancer. We created a large-scale network-based quantitative approach employing unbiased methods to discover abnormally amplified genes in both T2DM and breast cancer, to solve these issues. We performed transcriptome analysis to uncover iden

SUBMITTER: Sarkar MS 

PROVIDER: S-EPMC10205526 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature