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Tisotumab vedotin in 2L/3L recurrent or metastatic cervical cancer: Subsequent therapy data from ENGOT-cx12/GOG-3057/innovaTV 301.

2024· article· en· W4399380501 on OpenAlexaff
Luís Manso, Ignace Vergote, Keiichi Fujiwara, Antoine Angelergues, Michal Zikán, Scott Jordan, Jung‐Yun Lee, Lisa Barraclough, Fernando Cotait Maluf, Domenica Lorusso, Kan Yonemori, Christine Gennigens, Antonio González-Martı́n, Florian Heitz, Anneke M. Westermann, Allan Covens, Elizabeth Whalley, Yiyi Chen, Ibrahima Soumaoro, Leslie M. Randall

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicEndometrial and Cervical Cancer Treatments
Canadian institutionsSunnybrook Hospital
Fundersnot available
KeywordsMedicineCervical cancerOncologyInternal medicineCancer

Abstract

fetched live from OpenAlex

5531 Background: Tisotumab vedotin (TV) is an antibody-drug-conjugate directed to tissue factor with a microtubule-disrupting agent, MMAE, payload. The ENGOT-cx12/GOG-3057/innovaTV study 301 (NCT04697628) was the first to report OS benefit for TV vs chemotherapy in 2L/3L recurrent or metastatic cervical cancer (r/mCC), including in pts who have received prior anti-PD-(L)1 (HR 0.70; Vergote, Ann Oncol 2023). This abstract presents additional data on the use of subsequent therapies in this study. Methods: innovaTV 301 is a global, randomized, open-label phase 3 study. Eligible pts had r/mCC with disease progression on/after chemotherapy doublet ± bevacizumab and an anti-PD-(L)1 agent, if eligible and available. Pts were randomized 1:1 to TV monotherapy (2.0 mg/kg Q3W) or investigator’s choice of chemotherapy (topotecan, vinorelbine, gemcitabine, irinotecan, or pemetrexed). Primary endpoint was OS. Descriptive analyses on type and time to first subsequent anticancer therapy are reported. Results: 502 pts were randomized (TV: 253; chemotherapy: 249). All pts received prior systemic therapy; 63.9% of pts had prior bevacizumab and 27.5% of pts had prior anti-PD-(L)1. Observed OS and PFS benefits for TV vs chemotherapy were generally consistent in prespecified subgroups, notably regardless of prior exposure to anti-PD-(L)1. In the ITT population, ORR was 17.8% (95% CI, 13.3-23.1) vs 5.2% (95% CI, 2.8-8.8) and DCR was 75.9% (95% CI, 70.1-81.0) vs 58.2% (95% CI, 51.8-64.4) in the TV vs chemotherapy arms, respectively. Median time-to-response was 1.58 mo and 1.74 mo in the TV and chemotherapy arms, respectively. Following discontinuation of study treatment, 127 (50.2%) pts on the TV arm and 108 (43.4%) on the chemotherapy arm received subsequent anticancer therapy, of which the majority received systemic therapy for progressive disease, including 112 (88.2%) pts on the TV arm and 91 (84.3%) pts on the chemotherapy arm. Median time from last dose of study treatment to first subsequent therapy was 6.7 weeks (range: 1-35) for pts treated with TV and 5.4 weeks (range: 1-51) for pts treated with chemotherapy. The most common types of subsequent systemic therapies were cytotoxic chemotherapy (82/112 [73.2%] vs 57/91 [62.2%] on the TV and chemotherapy arms, respectively) and immunotherapy (42/112 [37.5%] and 32/91 [35.2%] on the TV and chemotherapy arms, respectively). Conclusions: TV previously demonstrated a significant improvement in OS vs chemotherapy that was generally consistent across prespecified subgroups. Additionally, a meaningful proportion of pts received subsequent anticancer therapy in both treatment arms, with cytotoxic chemotherapy and immunotherapy as the most common choices. These data show that TV provides meaningful clinical benefit and does not prevent pts from receiving subsequent therapies, including immunotherapy. Clinical trial information: NCT04697628 .

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.448
GPT teacher head0.560
Teacher spread0.112 · 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 designObservational
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".

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Citations2
Published2024
Admission routes1
Has abstractyes

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