Deciphering Tumor Microenvironment Dynamics and Cellular Communication in Breast Cancer Progression through Single-Cell RNA Sequencing

Tumor microenvironment as well as inter- and intracellular communication within it, play acritical role in tumor progression and drug resistance. This study intends to detect and describe thesecomplicated relationships during the progression of breast cancer using single-cell RNA sequencing.Focusing on breast cancer, a significant and widely prevalent malignancy, our microscopic examinationaims to shed light on the molecular nuances underlying the transition from normalcy to BRCA۱precancerous states and ultimately to triple-negative breast cancer (TNBC).By leveraging scRNA-seq data, we identify key genes that orchestrate substantial shifts betweendifferent stages of breast cancer. The complex interactions and processes in which these discoveredgenes engage in it are then clarified using network analysis. The importance of these key genes is furthervalidated through machine learning models, providing a comprehensive understanding of their role indriving the transition from one stage to another. By shedding light on the molecular underpinnings ofbreast cancer at a microscopic level, our study aims to pave the way for the development of moreeffective treatment strategies, thereby offering hope for improved outcomes for patients battling thischallenging disease.

کلیدواژه ها:

Tumor microenvironment ، Cancer progression ، Triple-negative breast cancer ، Multilayer network ، Machine learning.