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A phase II trial to evaluate the epithelial-to-mesenchymal (EMT) inhibitor sotevtamab combined with docetaxel in patients with metastatic non-small cell lung cancer following failure of primary chemoimmunotherapy.

2024· article· en· W4400036644 on OpenAlexaff
Normand Blais, Ghislain Cournoyer, Jean-Luc Dionne, Catherine Labbé, Louis Gaboury, Vincent Quoc‐Huy Trinh, Julia V. Burnier, Alexandra Bartolomucci, Elisabeth Viau, Mario Filion, Jacques Jolivet, Lauren A. Byers

Bibliographic record

VenueJournal of Clinical Oncology · 2024
Typearticle
Languageen
FieldMedicine
TopicLung Cancer Treatments and Mutations
Canadian institutionsAlethia Biotherapeutics (Canada)McGill UniversityInstitute for Research in Immunology and CancerInstitut universitaire de cardiologie et de pneumologie de QuébecCentre Intégré de Santé et de Services Sociaux des LaurentidesHôpital Maisonneuve-RosemontUniversité de Montréal
Fundersnot available
KeywordsMedicineDocetaxelChemoimmunotherapyOncologyCancerInternal medicineClinical trialPhases of clinical researchLung cancerChemotherapyImmunotherapy

Abstract

fetched live from OpenAlex

8577 Background: Sotevtamab is an investigational humanized monoclonal antibody that binds to tumor associated secreted clusterin (TA-sCLU). TA-sCLU is a potent inducer of the epithelial-to-mesenchymal transition (EMT), a process known to contribute to tumor invasion, metastasis, chemoresistance and immune evasion. Sotevtamab abrogates the EMT-promoting activity of TA-sCLU by inhibiting its ability to be internalized in cancer cells. Methods: An open-label, single-arm, multi-center Phase II clinical study of sotevtamab administered in combination with docetaxel was performed in subjects with metastatic non-small cell lung cancer who had experienced progression following frontline immunochemotherapy. 35 subjects were enrolled from March 2021 to November 2022 and the study was completed in December 2023. Sotevtamab was administered at a dose of 12 mg/kg once weekly on Days 1, 8 and 15 combined with docetaxel at a dose of 75 mg/m2 once every 3 weeks on Day 1. One cycle of treatment consisted of 21 days. The primary objectives were to determine the objective response rate (ORR) and the safety and tolerability of the combination. Tumor biopsies were performed prior to study initiation and after two cycles of therapy for pharmacodynamicevaluation. Results: As per interim data obtained from a rolling database lock performed in February 2023, the mean subject age was 63 and 22 patients (63%) were female. Of the 35 subjects, 28 were diagnosed with adenocarcinoma, 6 with squamous cell carcinoma and 1 with adenosquamous carcinoma; 11 were ECOG 0, 22 ECOG 1 and 2 ECOG 2. Six subjects with adenocarcinoma had a partial response for an ORR of 17.1%. Stable disease (SD) was experienced in an additional 10 subjects (9 adenocarcinomas and one squamous cell carcinoma) for an SD rate of 28.6%. The observed responses were sustained with a median duration of over one year (405 days). The estimated one-year survival rate was 33.9%. The most frequent adverse events were fatigue, infusion related reaction (IRR), diarrhea, nausea and anemia. The incidence of IRR was significantly decreased following the implementation of a premedication protocol. Analysis of paired tumour biopsies revealed in certain patients that sotevtamab induced a strong intratumoral immune response with the formation of Tertiary Lymphoid Structures (TLS). Various pharmacodynamic evaluations are being performed to better define the profile of responding patients. Conclusions: This phase II study showed promising response and overall tumor control. Duration of response was particularly encouraging and relevant to further exploration. The sotevtamab and docetaxel combination may enhance immune-mediated anti-tumor response through induction of TLS. Data from the final database lock will be presented. Clinical trial information: NCT04364620 .

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)0.001
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.036
GPT teacher head0.434
Teacher spread0.398 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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