Data-Driven Biomarker Panel Discovery In Ovarian Cancer Using Heterogenous Data Fusion On Exosomal And Non-Exosomal Microrna Expression Data, Paritra Mandal

All Dissertations

Ovarian cancer (OC) is an aggressive gynecological cancer and is currently the 5th leading cause of deaths due to cancer in women. High mortality rates are attributable to the vague pathogenesis and asymptomatic nature of the early stages. The development of a liquid biopsy for routine OC screening could help identify the disease at an earlier stage, making treatments more likely to be effective thereby increasing survival rates. Exosomes, small (~100nm) extracellular vesicles present in body fluids, have been shown to contain cancer-progression, onset, and related factors, making them good candidates for use in liquid biopsies. However, to date, only …

Crosstalk Between Hippo And Rb Tumour Suppressor Pathways In Ovarian Cancer, Fatmata Sesay

Theses and Dissertations

The cell cycle is a highly regulated process that ensures the timely and accurate division of cells. Events of the normal cell cycle fall under two categories - positive and negative regulatory mechanisms. The first category, positive regulatory machinery, includes active protein complexes of cyclins in association with their partnering cyclin-dependent kinases (cyclin/CDK), which mediate series of phosphorylation events that relay a cell cycle progression from one stage to the next. The second category, the negative regulatory mechanisms, include the checkpoint controls consisting of the retinoblastoma (RB) family of proteins, some of which can form a transcriptional repressor complex DREAM. …