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Record W3162045020 · doi:10.3892/ijo.2021.5223

Anti-Müllerian hormone concentration regulates activin receptor-like kinase-2/3 expression levels with opposing effects on ovarian cancer cell survival

2021· article· en· W3162045020 on OpenAlexfundno aff
Maëva Chauvin, Véronique Garambois, Sylvie Choblet, Pierre‐Emmanuel Colombo, Myriam Chentouf, Laurent Gros, David-Paul De Brauwere, Martine Duonor-Cérutti, Karen Dumas, Bruno Robert, Marta Jarlier, Pierre Martineau, Isabelle Navarro‐Teulon, David Pépin, Thierry Chardès, André Pèlegrin

Bibliographic record

VenueInternational Journal of Oncology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsnot available
FundersInserm TransfertDirection Générale de l’offre de SoinsLeids Universitair Medisch CentrumCentre National de la Recherche ScientifiqueInstitut National Du CancerUniversiteit LeidenInstitute of GeneticsInstitut National de la Santé et de la Recherche MédicaleAgence Nationale de la RechercheMassachusetts General Hospital
KeywordsBiologyOvarian cancerReceptorAnti-Müllerian hormoneInternal medicineCancer researchEndocrinologyCancerHormoneMedicineBiochemistry

Abstract

fetched live from OpenAlex

Anti‑Müllerian hormone (AMH) type II receptor (AMHRII) and the AMH/AMHRII signaling pathway are potential therapeutic targets in ovarian carcinoma. Conversely, the role of the three AMH type I receptors (AMHRIs), namely activin receptor‑like kinase (ALK)2, ALK3 and ALK6, in ovarian cancer remains to be clarified. To determine the respective roles of these three AMHRIs, the present study used four ovarian cancer cell lines (COV434‑AMHRII, SKOV3‑AMHRII, OVCAR8, KGN) and primary cells isolated from tumor ascites from patients with ovarian cancer. The results demonstrated that ALK2 and ALK3 may be the two main AMHRIs involved in AMH signaling at physiological endogenous and supraphysiological exogenous AMH concentrations, respectively. Supraphysiological AMH concentrations (25 nM recombinant AMH) were associated with apoptosis in all four cell lines and decreased clonogenic survival in COV434‑AMHRII and SKOV3‑AMHRII cells. These biological effects were induced via ALK3 recruitment by AMHRII, as ALK3‑AMHRII dimerization was favored at increasing AMH concentrations. By contrast, ALK2 was associated with AMHRII at physiological endogenous concentrations of AMH (10 pM). Based on these results, tetravalent IgG1‑like bispecific antibodies (BsAbs) against AMHRII and ALK2, and against AMHRII and ALK3 were designed and evaluated. <em>In vivo</em>, COV434‑AMHRII tumor cell xenograft growth was significantly reduced in all BsAb‑treated groups compared with that in the vehicle group (P=0.018 for BsAb 12G4‑3D7; P=0.001 for all other BsAbs). However, the growth of COV434‑AMHRII tumor cell xenografts was slower in mice treated with the anti‑AMRII‑ALK2 BsAb 12G4‑2F9 compared with that in animals that received a control BsAb that targeted AMHRII and CD5 (P=0.048). These results provide new insights into type I receptor specificity in AMH signaling pathways and may lead to an innovative therapeutic approach to modulate AMH signaling using anti‑AMHRII/anti‑AMHRI BsAbs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.520

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.290
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2021
Admission routes1
Has abstractyes

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