CRISPR targeting of FOXL2 c.402C>G mutation reduces malignant phenotype in granulosa tumor cells and identifies anti-tumoral compounds

2Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Forkhead box L2 (FOXL2) encodes a transcription factor essential for sex determination, and ovary development and maintenance. Mutations in this gene are implicated in syndromes involving premature ovarian failure and granulosa cell tumors (GCTs). This rare cancer accounts for less than 5% of diagnosed ovarian cancers and is causally associated with the FOXL2 c.402C>G, p.C134W mutation in 97% of the adult cases (AGCTs). In this study, we employed CRISPR technology to specifically eliminate the FOXL2 c.402C>G mutation in granulosa tumor cells. Our results show that this Cas9-mediated strategy selectively targets the mutation without affecting the wild-type allele. Granulosa cells lacking FOXL2 c.402C>G exhibit a reduced malignant phenotype, with significant changes in cell proliferation and invasion. Furthermore, these modified cells are more susceptible to dasatinib and ketoconazole. Transcriptomic and proteomic analyses reveal that CRISPR-modified granulosa tumor cells shift their expression profiles towards a wild-type-like phenotype. Additionally, this altered expression signature has led to the identification of new compounds with antiproliferative and pro-apoptotic effects on granulosa tumor cells. Our findings demonstrate the potential of CRISPR technology for the specific targeting and elimination of a mutation causing GCTs, highlighting its therapeutic promise for treating this rare ovarian cancer.

Cite

CITATION STYLE

APA

Amarilla-Quintana, S., Navarro, P., Hernández, I., Ramos, A., Montero-Calle, A., Cabezas-Sainz, P., … Pérez de Castro, I. (2025). CRISPR targeting of FOXL2 c.402C>G mutation reduces malignant phenotype in granulosa tumor cells and identifies anti-tumoral compounds. Molecular Oncology, 19(4), 1092–1116. https://doi.org/10.1002/1878-0261.13799

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free