Cross-platform gene expression profiling of breast cancer: Exploring the relationship between breast cancer grades and gene expression pattern

• DOI: 10.1016/j.heliyon.2024.e29736
• Publication Date: 2024-04-16T17:54:56Z
• Authors: Shamim Sarhadi; Arta Armani; Davoud Jafari-Gha...; Somayeh Sadeghi; Nosratollah Zarghami
• Keywords: Social sciences (General); H1-99; Q1-390; 0303 health sciences; 03 medical and health sciences; Science (General); Grade classification; Transcriptome; Systems biology; Gene expression profiling; Research Article

Gene expression profiling is a powerful tool that has been extensively used to investigate the underlying biology and etiology of diseases, including cancer. Microarray gene analysis enables simultaneous measurement thousands mRNA levels. Sophisticated computational approaches have evolved in parallel with rapid progress bioassay technologies, enabling more effective large complex datasets these technologies produce.In this study, we utilized systems examine profiles across different grades breast cancer progression. We conducted meta-analysis publicly available microarray data elucidate molecular mechanisms grade classification.Our results suggest while index commonly for evaluating progression status clinic, complexity mechanisms, histological characteristics, other factors related patient outcomes raises doubts about utility as foundation formulating treatment protocols.Our study underscores importance advancing personalized strategies classification management. More research crucial refine diagnostic tools modalities, aiming greater precision tailored care outcomes.