High-throughput drug screening identifies novel therapeutics for Low Grade Serous Ovarian Carcinoma

Low grade serous carcinoma (LGSOC) is a rare epithelial ovarian cancer with unique molecular characteristics compared to the more common tubo-ovarian high-grade serous ovarian carcinoma. Pivotal clinical trials guiding the management of epithelial ovarian cancer lack sufficient cases of LGSOC for meaningful subgroup analysis, hence overall findings cannot be extrapolated to rarer chemo-resistant subtypes such as LGSOC. Furthermore, there is a need for more effective therapies for the treatment of relapsed disease, as treatment options are limited. To address this, we conducted the largest quantitative high-throughput drug screening effort (n = 3436 compounds) in 12 patient-derived LGSOC cell lines and one normal ovary cell line to identify unexplored therapeutic avenues. Using a combination of high-throughput robotics, high-content imaging and novel data analysis pipelines, our data set identified 60 high and 19 moderate confidence hits which induced cancer cell specific cytotoxicity at the lowest compound dose assessed (0.1 µM). We also revealed a series of known (mTOR/PI3K/AKT) and novel (EGFR and MDM2-p53) drug classes in which LGSOC cell lines showed demonstrable susceptibility to.

Authors

Institutions

Publication Details

Journal
Scientific Data
Published
2024-09-19
DOI
https://doi.org/10.1038/s41597-024-03869-x
Citations
9
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
Field-Weighted Citation Impact
4.83

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-throughput drug screening identifies novel therapeutics for Low Grade Serous Ovarian Carcinoma

Hannah Kim, Robert Vary, Ian Campbell, Kaylene J. Simpson et al.
9 citations
Scientific Data
Ovarian cancer diagnosis and treatment
4.83
article

High-throughput drug screening identifies novel therapeutics for Low Grade Serous Ovarian Carcinoma

Hannah Kim, Robert Vary, Ian Campbell, Kaylene J. Simpson, Karla J. Cowley, Dane Cheasley, Nikola A. Bowden, Jennii Luu, Kathleen I. Pishas, Marta Llaurado-Fernandez, Mark S. Carey
article en
9 citations

Abstract

Low grade serous carcinoma (LGSOC) is a rare epithelial ovarian cancer with unique molecular characteristics compared to the more common tubo-ovarian high-grade serous ovarian carcinoma. Pivotal clinical trials guiding the management of epithelial ovarian cancer lack sufficient cases of LGSOC for meaningful subgroup analysis, hence overall findings cannot be extrapolated to rarer chemo-resistant subtypes such as LGSOC. Furthermore, there is a need for more effective therapies for the treatment of relapsed disease, as treatment options are limited. To address this, we conducted the largest quantitative high-throughput drug screening effort (n = 3436 compounds) in 12 patient-derived LGSOC cell lines and one normal ovary cell line to identify unexplored therapeutic avenues. Using a combination of high-throughput robotics, high-content imaging and novel data analysis pipelines, our data set identified 60 high and 19 moderate confidence hits which induced cancer cell specific cytotoxicity at the lowest compound dose assessed (0.1 µM). We also revealed a series of known (mTOR/PI3K/AKT) and novel (EGFR and MDM2-p53) drug classes in which LGSOC cell lines showed demonstrable susceptibility to.

Scientific DataVol. 11(1)
BC Cancer Agency (CA), University of British Columbia (CA), The University of Melbourne (AU), Peter MacCallum Cancer Centre (AU), Hunter Medical Research Institute (AU), University of Newcastle Australia (AU)
Victorian Cancer Agency, Cancer Research Society, Marshfield Clinic Research Foundation, Australian Government, Ovarian Cancer Canada, Australian Cancer Research Foundation, Peter MacCallum Cancer Centre, BC Cancer Foundation, Therapeutic Innovation Australia
Good health and well-being
Openalex Percentile: Top 5%
Ovarian cancer diagnosis and treatment
4.83
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.