Evidence map›Paper›PMID 37190207›Full record

ArticleCancers2023

FAK Inhibitor-Based Combinations with MEK or PKC Inhibitors Trigger Synergistic Antitumor Effects in Uveal Melanoma.

Malcy Tarin, Fariba Némati, Didier Decaudin, Christine Canbezdi, Benjamin Marande, Lisseth Silva, Héloïse Derrien, Aart G Jochemsen, Sophie Gardrat, Sophie Piperno-Neumann and 6 more

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Therapeutic Strategies in BRAF V600 Wild-Type Cutaneous Melanoma.American journal of clinical dermatology · 2024
    Review
  10. Review
  11. Article
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

16 authors.

Malcy TarinTranslational Research Department, Institut Curie, PSL Research University, 75005 Paris, France.ORCID 0000-0002-3865-9631
Fariba NématiLaboratory of Preclinical Investigation, Institut Curie, PSL Research University, 75005 Paris, France.ORCID 0000-0001-8879-7592
Didier DecaudinLaboratory of Preclinical Investigation, Institut Curie, PSL Research University, 75005 Paris, France.
Christine CanbezdiTranslational Research Department, Institut Curie, PSL Research University, 75005 Paris, France.ORCID 0000-0002-9846-3921
Benjamin MarandeTranslational Research Department, Institut Curie, PSL Research University, 75005 Paris, France.
Lisseth SilvaTranslational Research Department, Institut Curie, PSL Research University, 75005 Paris, France.
Héloïse DerrienLaboratory of Preclinical Investigation, Institut Curie, PSL Research University, 75005 Paris, France.
Aart G JochemsenDepartment of Cell and Chemical Biology, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.ORCID 0000-0002-0570-7967
Sophie GardratDepartment of Biopathology, Institut Curie, PSL Research University, 75005 Paris, France.
Sophie Piperno-NeumannDepartment of Medical Oncology, Institut Curie, PSL Research University, 75005 Paris, France.
Manuel RodriguesDepartment of Medical Oncology, Institut Curie, PSL Research University, 75005 Paris, France.ORCID 0000-0002-5443-0802
Pascale MarianiDepartment of Medical Oncology, Institut Curie, PSL Research University, 75005 Paris, France.
Nathalie CassouxDepartment of Ocular Oncology, Institut Curie, Université Paris Cité, 94010 Paris, France.
Marc-Henri SternINSERM U830, DNA Repair and Uveal Melanoma, Institut Curie, PSL Research University, 75005 Paris, France.ORCID 0000-0002-8100-2272
Sergio Roman-RomanTranslational Research Department, Institut Curie, PSL Research University, 75005 Paris, France.
Samar AlsafadiTranslational Research Department, Institut Curie, PSL Research University, 75005 Paris, France.ORCID 0000-0002-0060-1346

Funding

European Union UM Cure 2020 project, grant agreement no. 667787Ligue Nationale Contre le Cancer PhD funding for CC, grant no. 20117
6 · The paper itself

Abstract

Uveal Melanoma (UM) is a rare and malignant intraocular tumor with dismal prognosis. Even if radiation or surgery permit an efficient control of the primary tumor, up to 50% of patients subsequently develop metastases, mainly in the liver. The treatment of UM metastases is challenging and the patient survival is very poor. The most recurrent event in UM is the activation of Gαq signaling induced by mutations in GNAQ/11. These mutations activate downstream effectors including protein kinase C (PKC) and mitogen-activated protein kinases (MAPK). Clinical trials with inhibitors of these targets have not demonstrated a survival benefit for patients with UM metastasis. Recently, it has been shown that GNAQ promotes YAP activation through the focal adhesion kinase (FAK). Pharmacological inhibition of MEK and FAK showed remarkable synergistic growth-inhibitory effects in UM both in vitro and in vivo. In this study, we have evaluated the synergy of the FAK inhibitor with a series of inhibitors targeting recognized UM deregulated pathways in a panel of cell lines. The combined inhibition of FAK and MEK or PKC had highly synergistic effects by reducing cell viability and inducing apoptosis. Furthermore, we demonstrated that these combinations exert a remarkable in vivo activity in UM patient-derived xenografts. Our study confirms the previously described synergy of the dual inhibition of FAK and MEK and identifies a novel combination of drugs (FAK and PKC inhibitors) as a promising strategy for therapeutic intervention in metastatic UM.

Indexed as

combination treatmentsFAK inhibitionmetastatic uveal melanoma

Identifiers

PMID37190207
PMCPMC10136875

What OpenQuestion holds

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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.