Evidence map›Paper›PMID 33500516›Full record

ArticleScientific reports2021

Anti-Müllerian hormone (AMH) autocrine signaling promotes survival and proliferation of ovarian cancer cells.

Maëva Chauvin, Véronique Garambois, Pierre-Emmanuel Colombo, Myriam Chentouf, Laurent Gros, Jean-Paul Brouillet, Bruno Robert, Marta Jarlier, Karen Dumas, Pierre Martineau and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

14 authors at 5 institutions in 2 countries.

Maëva ChauvinIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France.
Véronique GaramboisIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France.
Pierre-Emmanuel ColomboIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France.
Myriam ChentoufIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France.
Laurent GrosIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France.
Jean-Paul BrouilletIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France.
Bruno RobertIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France.
Marta JarlierIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France.
Karen DumasSurgiMAb, 10 Parc Club du Millénaire, 1025 Avenue Henri Becquerel, 34000, Montpellier, France.
Pierre MartineauIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France.
Isabelle Navarro-TeulonIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France.
David PépinDepartment of Surgery, Harvard Medical School, Boston, MA, USA.
Thierry ChardèsIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France.
André PèlegrinIRCM, Institut de Recherche en Cancérologie de Montpellier, Campus Val d'Aurelle, 34298, Montpellier Cedex, France. andre.pelegrin@inserm.fr.
Université de Montpellier · FRInserm · FRInstitut de Recherche en Cancérologie de Montpellier · FRHarvard University · USSurgimab (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In ovarian carcinoma, anti-Müllerian hormone (AMH) type II receptor (AMHRII) and the AMH/AMHRII signaling pathway are potential therapeutic targets. Here, AMH dose-dependent effect on signaling and proliferation was analyzed in four ovarian cancer cell lines, including sex cord stromal/granulosa cell tumors and high grade serous adenocarcinomas (COV434-AMHRII, SKOV3-AMHRII, OVCAR8 and KGN). As previously shown, incubation with exogenous AMH at concentrations above the physiological range (12.5-25 nM) decreased cell viability. Conversely, physiological concentrations of endogenous AMH improved cancer cell viability. Partial AMH depletion by siRNAs was sufficient to reduce cell viability in all four cell lines, by 20% (OVCAR8 cells) to 40% (COV434-AMHRII cells). In the presence of AMH concentrations within the physiological range (5 to 15 pM), the newly developed anti-AMH B10 antibody decreased by 25% (OVCAR8) to 50% (KGN) cell viability at concentrations ranging between 3 and 333 nM. At 70 nM, B10 reduced clonogenic survival by 57.5%, 57.1%, 64.7% and 37.5% in COV434-AMHRII, SKOV3-AMHRII, OVCAR8 and KGN cells, respectively. In the four cell lines, B10 reduced AKT phosphorylation, and increased PARP and caspase 3 cleavage. These results were confirmed in ovarian cancer cells isolated from patients' ascites, demonstrating the translational potential of these results. Furthermore, B10 reduced COV434-MISRII tumor growth in vivo and significantly enhanced the median survival time compared with vehicle (69 vs 60 days; p = 0.0173). Our data provide evidence for a novel pro-survival autocrine role of AMH in the context of ovarian cancer, which was targeted therapeutically using an anti-AMH antibody to successfully repress tumor growth.

Indexed as

Anti-Mullerian HormoneCaspase 3Cell Line, TumorCell ProliferationCell SurvivalFemaleHumansOvarian NeoplasmsOvaryPhosphorylationAnti-Mullerian HormoneCaspase 3

Identifiers

PMID33500516
PMCPMC7838181
OpenAlexW3124472467

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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.