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Integrated safety summary of single-agent mirvetuximab soravtansine in patients with folate receptor α (FRα)-positive recurrent ovarian cancer: Phase 1 and 3 clinical trials.

2022· article· en· W4286297240 on OpenAlexaff
Kathleen N. Moore, Domenica Lorusso, Ana Oaknin, Amit M. Oza, Nicoletta Colombo, Toon Van Gorp, David M. O’Malley, Susana Banerjee, Conleth G. Murphy, Philipp Harter, Gottfried E. Konecny, Patricia Pautier, Michael Method, Jiuzhou Wang, Michael J. Birrer, Robert L. Coleman, Ursula A. Matulonis

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
FundersImmunoGen
KeywordsMedicineTolerabilityOvarian cancerInternal medicineAdverse effectGastroenterologyPopulationOncologyPhases of clinical researchFolate receptorNauseaCancerToxicitySurgeryCancer cell

Abstract

fetched live from OpenAlex

5574 Background: Available chemotherapies for platinum-resistant ovarian cancer (PROC) have limited clinical activity and considerable toxicity. Mirvetuximab soravtansine (MIRV) is a first-in-class antibody drug conjugate (ADC) comprising a folate receptor alpha (FRα)-binding antibody, cleavable linker, and the maytansinoid payload DM4, a potent tubulin-targeting agent that has demonstrated significant anti-tumor activity in this difficult to treat population. The objective is to characterize the tolerability profile of MIRV in a pooled analysis of experience when administered as monotherapy in patients (pts) with FRα positive recurrent ovarian cancer. Methods: Retrospective pooled analysis included pts enrolled across three studies: phase 1 first-in-human, phase 3 FORWARD I, and phase 3 SORAYA. Analysis included pts with FRα positive recurrent ovarian cancer and those pts with low, medium, and high FRα expression by immunohistochemistry (Roche FOLR1 Assay ≥ 25% of cells with PS2+ staining intensity). All pts received intravenous MIRV at 6 mg/kg, adjusted ideal body weight, on Day 1 of a 21-day cycle until disease progression or unacceptable toxicity. Results: 464 pts were included from 15 countries, with key characteristics: median age 63 yrs, 87% 1-3 prior therapies, 91% platinum free interval ≤6 months, 65% prior bevacizumab, and 25% prior PARPi. The most common treatment-related adverse events (TRAE) (all grade, grade 3+) included blurred vision (42%, 3%), nausea (40%, 2%), diarrhea (33%, 2%), fatigue (31%, 2%), keratopathy (26%, 3%), and dry eye (22%, 1%). TRAEs leading to a dose delay or reduction occurred in 33% and 21% of pts, respectively. Seven % discontinued due to a TRAE. Four pts ( < 1%) discontinued MIRV due to an ocular event. Ninety % of pts with a grade 2+ blurred vision resolved to grade 0 or 1, 93% of pts with grade 2+ keratopathy resolved to grade 0 or 1. No corneal ulcers or perforation have been reported and no patient with a serious ocular event has been reported to have permanent sequelae. Conclusions: In a pooled analysis of 464 patients, MIRV monotherapy has a differentiated and predictable safety profile consisting primarily of low grade and reversible gastrointestinal and ocular events. These events were managed with supportive care and dose modifications if needed, with a low rate of treatment-related discontinuation. The safety profile of MIRV in recurrent ovarian cancer along with the anti-tumor activity in PROC (32.4% ORR Matulonis SGO 2022) support a favorable benefit/risk in this population. Clinical trial information: NCT01609556, NCT04296890, NCT02631876.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.148
GPT teacher head0.474
Teacher spread0.325 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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

Citations3
Published2022
Admission routes1
Has abstractyes

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