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Updated: May 17, 2026

Genome-wide RNAi Screening to Identify Host Factors That Modulate Oncolytic Virus Therapy
Published on: April 3, 2018
An RNA interference lethality screen of the human druggable genome to identify molecular vulnerabilities in
Geetika Sethi1, Harsh B Pathak, Hong Zhang
1Department of Pathology and Laboratory Medicine, University of Kansas Medical Center, Kansas City, United States of America.
Abstract:
Targeted therapies have been used to combat many tumor types; however, few have effectively improved the overall survival in women with epithelial ovarian cancer, begging for a better understanding of this deadly disease and identification of essential drivers of tumorigenesis that can be targeted effectively. Therefore, we used a loss-of-function screening approach to help identify molecular vulnerabilities that may represent key points of therapeutic intervention. We employed an unbiased high-throughput lethality screen using a 24,088 siRNA library targeting over 6,000 druggable genes and studied their effects on growth and/or survival of epithelial ovarian cancer (EOC) cell lines. The top 300 "hits" affecting the viability of A1847 cells were rescreened across additional EOC cell lines and non-tumorigenic, human immortalized ovarian epithelial cell lines. Fifty-three gene candidates were found to exhibit effects in all tumorigenic cell lines tested. Extensive validation of these hits refined the list to four high quality candidates (HSPA5, NDC80, NUF2, and PTN). Mechanistic studies show that silencing of three genes leads to increased apoptosis, while HSPA5 silencing appears to alter cell growth through G1 cell cycle arrest. Furthermore, two independent gene expression studies show that NDC80, NUF2 and PTN were significantly aberrantly overexpressed in serous adenocarcinomas. Overall, our functional genomics results integrated with the genomics data provide an important unbiased avenue towards the identification of prospective therapeutic targets for drug discovery, which is an urgent and unmet clinical need for ovarian cancer.
Insights
Identifying new ovarian cancer targets is crucial as current therapies offer limited survival benefits. This study used a large-scale screen to find vulnerabilities, revealing four key genes (HSPA5, NDC80, NUF2, PTN) for potential drug development.
Area of Science:
- Genomics
- Cancer Biology
- Drug Discovery
Background:
- Targeted therapies have shown limited success in improving overall survival for epithelial ovarian cancer (EOC).
- A deeper understanding of EOC tumorigenesis is needed to identify effective therapeutic targets.
- Novel strategies are required to address the unmet clinical need in ovarian cancer treatment.
Purpose of the Study:
- To identify molecular vulnerabilities and key drivers of tumorigenesis in epithelial ovarian cancer through a loss-of-function screen.
- To discover potential therapeutic targets for drug development in ovarian cancer.
Main Methods:
- Utilized a high-throughput siRNA screen of 24,088 druggable genes across EOC cell lines.
- Rescreened top hits in multiple EOC and non-tumorigenic ovarian epithelial cell lines.
- Performed mechanistic studies and analyzed gene expression data from serous adenocarcinomas.
Main Results:
- Identified 53 gene candidates affecting tumorigenic cell line viability, refining to four high-quality targets: HSPA5, NDC80, NUF2, and PTN.
- Silencing of three genes induced apoptosis; HSPA5 silencing caused G1 cell cycle arrest.
- NDC80, NUF2, and PTN were significantly overexpressed in serous adenocarcinomas.
Conclusions:
- Functional genomics screening identified HSPA5, NDC80, NUF2, and PTN as promising therapeutic targets for ovarian cancer.
- Integration of functional genomics and genomics data offers a pathway for novel ovarian cancer drug discovery.
- These findings address an urgent need for effective treatments in ovarian cancer.
Related Concept Videos
RNA Interference
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
RNA Interference
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
Experimental RNAi

