Unknown

Dataset Information

Comprehensive analysis of gene expression profiles to identify differential prognostic factors of primary and metastatic breast cancer.


ABSTRACT: Breast cancer accounts for nearly half of all cancer-related deaths in women worldwide. However, the molecular mechanisms that lead to tumour development and progression remain poorly understood and there is a need to identify candidate genes associated with primary and metastatic breast cancer progression and prognosis. In this study, candidate genes associated with prognosis of primary and metastatic breast cancer were explored through a novel bioinformatics approach. Primary and metastatic breast cancer tissues and adjacent normal breast tissues were evaluated to identify biomarkers characteristic of primary and metastatic breast cancer. The Cancer Genome Atlas-breast invasive carcinoma (TCGA-BRCA) dataset (ID: HS-01619) was downloaded using the mRNASeq platform. Genevestigator 8.3.2 wa

SUBMITTER: Albogami S 

PROVIDER: S-EPMC9168623 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature