Siham Muhammed Ali, Prabahar A Ashwin
Department of Allied Health Sciences, Chettinad Academy of Research and Education, Kelambakkam, Tamil Nadu, India.
Department of Molecular Genetics, School of Sciences, Garden City University, Bengaluru, Karnataka, India.
J Midlife Health. 2024 Jul-Sep;15(3):194-196. doi: 10.4103/jmh.jmh_93_23. Epub 2024 Oct 17.
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.
卵巢癌因其高发病率、异质性和晚期诊断,在临床肿瘤学中面临重大挑战。我们的研究探索了单细胞RNA测序(scRNA-Seq)和批量RNA测序的应用,以增强我们在分子水平上对卵巢癌的理解。我们重点介绍了诊断策略,并强调了scRNA-Seq在揭示卵巢肿瘤内复杂的细胞组成和表型可塑性方面的关键作用。我们还讨论了使用scRNA-Seq鉴定罕见细胞亚型、表征不同细胞类型以及阐明分子特征、信号通路和失调网络。此外,我们的研究展示了scRNA-Seq如何有助于发现用于诊断、预后和治疗反应预测的新型生物标志物,以及识别与耐药性相关的治疗靶点和通路。