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ARTISTRY-7: A phase 3, multicenter study of nemvaleukin alfa in combination with pembrolizumab versus chemotherapy in patients (pts) with platinum-resistant epithelial ovarian, fallopian tube, or primary peritoneal cancer.

2022· article· en· W4281845656 on OpenAlexaff
Thomas J. Herzog, Kathleen N. Moore, Panagiotis A. Konstantinopoulos, Lucy Gilbert, John L. Hays, Bradley J. Monk, David M. O’Malley, Jalid Sehouli, Joyce N. Barlin, Julie R. Graham, Monali Desai, Yan Wang, Yangchun Du, Rita P. Dalal, Robert L. Coleman

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsRoyal Victoria HospitalMcGill University Health CentreRoyal Victoria Regional Health Centre
Fundersnot available
KeywordsMedicinePembrolizumabOvarian cancerInternal medicineOncologyTolerabilityCarboplatinChemotherapyFallopian tubeBevacizumabCancerPhases of clinical researchGastroenterologyCisplatinImmunotherapySurgeryAdverse effect

Abstract

fetched live from OpenAlex

TPS5609 Background: ARTISTRY-7 will evaluate the novel engineered cytokine nemvaleukin alfa (nemvaleukin, ALKS 4230) in pts with gynecologic cancers. Epithelial ovarian cancer (OC) is the 7th most common cause of cancer mortality in women. OC is an area of high unmet need, as many pts become resistant or refractory to frontline platinum-based chemotherapy. Nemvaleukin was designed to selectively bind to the intermediate-affinity interleukin-2 (IL-2) receptor, preferentially activating and expanding antitumor CD8+ T and NK cells with minimal expansion of Tregs. This selectivity may provide enhanced tumor killing and improved safety/tolerability compared with high-dose IL-2. In clinical studies, nemvaleukin, as monotherapy and in combination with pembrolizumab, has shown evidence of clinical benefit in multiple tumor types, including OC. In ARTISTRY-1, 4 responses were observed in pts with OC, including 2 complete responses, 1 in a pt with platinum-resistant OC and 5 prior lines of therapy, and 2 partial responses. Methods: ARTISTRY-7 is a phase 3, multicenter, open-label randomized study of nemvaleukin and/or pembrolizumab vs chemotherapy. Eligible pts are women (≥18 y) with histologically confirmed epithelial OC (high-grade serous, endometrioid, clear cell), fallopian tube cancer, or primary peritoneal cancer. Pts must have received ≥1 prior line of systemic therapy in the platinum-sensitive setting, ≤5 prior lines in the platinum-resistant setting, and prior bevacizumab, with radiographic progression on most recent therapy. Primary platinum-refractory disease (progression on first-line platinum therapy) or primary platinum resistance (progression < 3 months after completion of first-line platinum therapy) is exclusionary. Pts must have ECOG performance status of 0 or 1, estimated life expectancy of ≥3 months, and adequate hematologic reserve and hepatic and renal function. Approximately 376 pts will be randomized (3:1:1:3) to receive nemvaleukin 6 μg/kg IV on days 1-5 and pembrolizumab 200 mg IV on day 1 of each 21-day cycle, pembrolizumab monotherapy, nemvaleukin monotherapy, or chemotherapy (pegylated liposomal doxorubicin, paclitaxel, topotecan, or gemcitabine) and stratified according to PD-L1 status, histologic subtype (high-grade vs non–high-grade serous), and chemotherapy (paclitaxel vs other). Pts will continue treatment until disease progression or intolerable toxicity (maximum 35 cycles for pembrolizumab; nemvaleukin can be continued). The primary endpoint is investigator-assessed PFS (RECIST v1.1) in the nemvaleukin/pembrolizumab vs chemotherapy group. Secondary/exploratory endpoints include overall survival, other antitumor measures, safety, health-related quality of life, and pharmacokinetic/pharmacodynamic effects. Clinical trial information: NCT05092360.

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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.004
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 head0.063
GPT teacher head0.418
Teacher spread0.355 · 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 designRandomized 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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