Supporting data for Mphil thesis "UNRAVELING GENOMIC EVOLUTIONARY DYNAMICS IN HIGH GRADE SEROUS OVARIAN CANCER USING OVIDUCTAL ORGANOID MODELS"

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Authors: Yihan Fu, Karen K.L. Chan
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Abstract

Data uploaded here is for the project "UNRAVELING GENOMIC EVOLUTIONARY DYNAMICS IN HIGH GRADE SEROUS OVARIAN CANCER USING OVIDUCTAL ORGANOID MODELS" . This project aims to systematically explore the evolutionary dynamics of CNAs during HGSOC’s initiation and progression, and to functionally characterize the therapeutic vulnerabilities associated with chromosome 8q amplification – one of the most frequent and clinically relevant CNAs in HGSOC. Here, HGSOC precursor lesions are modelled via TP53 knockout in a non-malignant fallopian tube epithelium cell line FT190 and patient-derived benign fallopian tube organoids. Organoid models are successfully established and are currently undergoing the planned 18-month long-term culture to recapitulate disease evolution. Longitudinal sha llow whole-genome sequencing is performed periodically to track CNA dynamics over time.

Fields of Study & Subjects

Ovarian cancer diagnosis and treatment Cancer Genomics and Diagnostics BRCA gene mutations in cancer

Publication details

Journal / source
Hong Kong University
Publication date
1 January 2026
Document type
Dataset