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

Research Projects

Organizational Units

Journal Issue

Abstract

FOXL2 is 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 the FOXL2 c.402C>G exhibit a reduced malignant phenotype, with significant changes in cell proliferation, invasion, and cell death. 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 granulosa cell tumors, highlighting its therapeutic promise for treating this rare ovarian cancer.

Description

La versión publicada del artículo está disponible en: https://hdl.handle.net/20.500.12105/26000

MeSH Terms

DeCS Terms

Bibliographic citation

Sandra Amarilla-Quintana, Paloma Navarro, Alejandra Ramos, Ana Montero-Calle, Pablo Cabezas-Sainz, Maria J Barrero, Diego Megías, Borja Vilaplana-Martí, Carolina Epifano, Déborah Gómez-Domínguez, Iván Hernández, Sara Monzón, Isabel Cuesta, Laura Sánchez, Rodrigo Barderas, Jesús García-Donas, Alberto Martín, Ignacio Pérez de Castro. bioRxiv 2024.07.01.601520; doi: https://doi.org/10.1101/2024.07.01.601520.

Related dataset

Related publication

Document type