Evidence map›Paper›PMID 39776254›Full record

ArticleMolecular oncology2025

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

Sandra Amarilla-Quintana, Paloma Navarro, Iván Hernández, Alejandra Ramos, Ana Montero-Calle, Pablo Cabezas-Sainz, Maria J Barrero, Diego Megías, Borja Vilaplana-Martí, Carolina Epifano and 8 more

Abstract read
In one paragraph

Article in Molecular oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Sandra Amarilla-QuintanaInstituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain.
Paloma NavarroHM Hospitales-Centro Integral Oncológico HM Clara Campal, Madrid, Spain.
Iván HernándezInstituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain.
Alejandra RamosInstituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain.
Ana Montero-CalleChronic Disease Program (UFIEC), Instituto de Salud Carlos III, Madrid, Spain.
Pablo Cabezas-SainzDepartment of Zoology, Genetics and Physical Anthropology, Universidade de Santiago de Compostela, Lugo, Spain.
Maria J BarreroInstituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain.
Diego MegíasConfocal Microscopy Unit, Instituto de Salud Carlos III, Madrid, Spain.
Borja Vilaplana-MartíInstituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0009-0000-8323-3595
Carolina EpifanoInstituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain.
Déborah Gómez-DominguezInstituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain.
Sara MonzónBioinformatic Unit, Instituto de Salud Carlos III, Madrid, Spain.
Isabel CuestaBioinformatic Unit, Instituto de Salud Carlos III, Madrid, Spain.
Laura SánchezDepartment of Zoology, Genetics and Physical Anthropology, Universidade de Santiago de Compostela, Lugo, Spain.
Rodrigo BarderasChronic Disease Program (UFIEC), Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0003-3539-7469
Jesús García-DonasHM Hospitales-Centro Integral Oncológico HM Clara Campal, Madrid, Spain.
Alberto MartínInstituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0003-3427-7684
Ignacio Pérez de CastroInstituto de Investigación de Enfermedades Raras, Instituto de Salud Carlos III, Madrid, Spain.ORCID https://orcid.org/0000-0002-8822-8274

Funding

Fundación Científica Asociación Española Contra el Cáncer ProyectosSemillaAECCGrupo Español de Tumores Huerfanos e Infrecuentes BecaGethi-RamóndelasPeñas
6 · The paper itself

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.

Indexed as

Antineoplastic AgentsClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsForkhead Box Protein L2Granulosa Cell TumorMutationOvarian NeoplasmsApoptosisCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansPhenotypeAntineoplastic AgentsForkhead Box Protein L2FOXL2 protein, humanCRISPRFOXL2granulosa cell tumorrare cancer

Identifiers

PMID39776254
PMCPMC11977662

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.