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Nemvaleukin alfa combination therapy for gastrointestinal (GI) cancers: Preclinical evidence and clinical data from the ARTISTRY-1 trial.

2022· article· en· W4205576580 on OpenAlexaff
Ulka N. Vaishampayan, Shipra Gandhi, Seth Rosen, Anna Spreafico, Débora S. Bruno, Quincy S. Chu, Aman Chauhan, Olivier Dumas, Hal W. Hirte, Jared E. Lopes, Heather C. Losey, Yan Wang, Lei Sun, Monali Desai, Rita P. Dalal, Yangchun Du, Julie R. Graham, Jameel Muzaffar, Ira Winer

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsJuravinski Cancer CentreUniversity of AlbertaUniversité LavalPrincess Margaret Cancer CentreMcMaster UniversityAlberta Health ServicesUniversity Health Network
Fundersnot available
KeywordsMedicinePembrolizumabInternal medicineOncologyCancerColorectal cancerPancreatic cancerAdenocarcinomaClinical trialGastroenterologyImmunotherapy

Abstract

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659 Background: Nemvaleukin alfa (nemvaleukin, ALKS 4230) is a novel engineered cytokine that selectively binds to the intermediate-affinity IL-2 receptor, preferentially activating and expanding antitumor CD8+ T and NK cells, with minimal expansion of regulatory T cells. Inherently active, nemvaleukin neither requires metabolic/proteolytic conversion nor degrades into native IL-2. Preclinical characterization confirmed receptor selectivity and antitumor activity of nemvaleukin alone and with checkpoint inhibitors (CPIs) and informed dose selection for the first-in-human study ARTISTRY-1; other combination regimens are ongoing evaluation. In ARTISTRY-1, responses with nemvaleukin in combination with pembrolizumab were observed in a variety of tumors, including GI. In addition to the clinical outcomes of these patients (pts), we describe preclinical evaluation of nemvaleukin with tyrosine kinase inhibitors (TKIs)—a drug class indicated for some GI cancers. Methods: Pts with GI cancers who had progressed on prior therapy were enrolled into cohorts of mixed tumor types in ARTISTRY-1 (NCT02799095) and received IV nemvaleukin (3 µg/kg) and pembrolizumab (200 mg). Outcomes presented include antitumor activity and safety as of August 2021. Combinations of nemvaleukin with TKIs were evaluated in mouse tumor models, including colorectal adenocarcinoma (MC38). Results: Clinically, 26 pts with GI cancer (colon/colorectal, n = 14; esophageal, n = 5; hepatocellular, n = 3; pancreatic, n = 3; gastric, n = 1) received nemvaleukin + pembrolizumab (median 3 cycles [range: 1-24]). Median age was 55 y (range: 26-82), ECOG performance status was 0 (n = 6) or 1 (n = 20), and median prior lines of therapy was 3 (range: 1-6). Four pts had a partial response, 2 with esophageal, 1 with MSI-H colorectal, and 1 with pancreatic cancer, with target lesion decreases of 37% to 63%. Six pts had stable disease. Two responders remain on treatment (> 36 and > 80 wks for colorectal and esophageal cancer, respectively). Frequent (> 25%) nemvaleukin-related adverse events (AEs) among all pts receiving nemvaleukin combination (n = 156) were chills (58%), pyrexia (53%), nausea (29%), and fatigue (29%). Grade ≥3 nemvaleukin-related AEs (≥8%) were reported in 48%, including anemia (12%), neutrophil count decreased (10%), and neutropenia (8%). In mice, the combination of the mouse ortholog of nemvaleukin with VEGF TKIs showed improved antitumor activity and survival, along with increased immune activation and angiogenesis blockade in the tumor microenvironment compared with any compound alone. Conclusions: Emerging clinical data show responses in GI tumors may be achieved with nemvaleukin/pembrolizumab with manageable safety. Preclinical evidence of antitumor activity of nemvaleukin with CPIs or TKIs warrants further exploration of nemvaleukin in new combinations for pts with GI cancers. Clinical trial information: NCT02799095.

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)0.000
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.467
GPT teacher head0.557
Teacher spread0.091 · 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
Published2022
Admission routes1
Has abstractyes

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