Empowering Precision Oncology: Advancing Cancer Research by Augmenting Single-cell RNA and Bulk RNA Sequencing for Confronting the Heterogeneity in Ovarian Cancer

Abstract

Ovarian cancer presents significant challenges in clinical oncology due to its high prevalence, heterogeneity, and late-stage diagnosis. Our study explores the application of single-cell RNA sequencing (scRNA-Seq) and bulk RNA sequencing to enhance our understanding of ovarian cancer at the molecular level. We highlight the diagnostic strategies and emphasize the critical role of scRNA-Seq in unraveling the intricate cellular composition and phenotypic plasticity within ovarian tumors. We also discuss the identification of rare cell subtypes, characterization of distinct cell types, and elucidation of molecular features, signaling pathways, and dysregulated networks using scRNA-Seq. Furthermore, our study showcases how scRNA-Seq aids in the discovery of novel biomarkers for diagnosis, prognosis, and treatment response prediction, as well as identifying therapeutic targets and pathways associated with drug resistance.

Keywords

• bulk rna sequencing
• cellular composition
• ovarian cancer
• single-cell rna sequencing
• tumors