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Phase Ib study of anetumab ravtansive in combination with immunotherapy or immunotherapy plus chemotherapy in mesothelin-enriched advanced pancreatic adenocarcinoma: NCI10208.

2022· article· en· W4286295491 on OpenAlexaff
Pavlina Spiliopoulou, Anup Kasi, Laith Abushahin, Dana B. Cardin, Heinz‐Josef Lenz, Farshid Dayyani, Wells A. Messersmith, Nkiruka Ezenwajiaku, Paul E. Oberstein, Ravi Kumar Paluri, Reema Patel, Edward Kim, Aparna Kalyan, Brandon G. Smaglo, Manik Amin, Mohammed Najeeb Al Hallak, Olumide B. Gbolahan, Lillian L. Siu, Jeffrey A. Moscow, Anna Spreafico

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsUniversity of TorontoUniversity Health NetworkPrincess Margaret Cancer Centre
FundersNational Institutes of Health
KeywordsNivolumabMedicineMesothelinGemcitabineInternal medicineOncologyPancreatic cancerImmunotherapyIpilimumabTolerabilityDeoxycytidineGastroenterologyCancerAdverse effect

Abstract

fetched live from OpenAlex

4136 Background: Mesothelin (MSLN) is overexpressed in 80-85% of pancreatic adenocarcinomas (PDAC). Anetumab ravtansine (AR) is a fully human anti-MSLN immunoglobulin G1 antibody conjugated to the anti-tubulin maytansinoid DM4. Through NCI-ETCTN, the North American Star Consortium conducted a phase I study to evaluate the safety/tolerability of AR in various combinations in patients (pts) with PDAC. Here, we report preliminary results of the escalation part. Methods: Pts with advanced PDAC after at least one line of treatment were included. AR was combined with nivolumab (ARM1), nivolumab/ipilimumab (ARM 2), or nivolumab plus gemcitabine (Gem) (ARM3), using an integrated biomarker analysis. Two dose levels (DL) of AR were evaluated, DL1=5.5mg/kg and DL2=6.5mg/kg (established RP2D). Key eligibility criterion was MSLN expression in >5% of tumor cells by immunohistochemistry. Pts with prior anti-PD1/anti-CTLA4 treatment were excluded but treatment with prior Gem was allowed. Mandatory blood and paired tumor samples were collected for investigation of the immune microenvironment, genomic/transcriptomic changes and for an in-depth description of AR pharmacokinetics. Results: Data cut-off date was 22/01/2022. A total of n=33 pts were enrolled, n=11 (ARM 1), n=13 (ARM 2) and n=9 (ARM3). Median age of pts was 66 (40-83), 33% of PS=0 and 66% of PS=1. Twenty-six pts (79%) had previously been exposed to Gem. Median number of prior lines of treatment was 3 (1-7). Twenty-eight patients were evaluable for DLT. Grade (G)3/4 TRAEs: 0% in ARM1DL1, 5.3% in ARM1DL2, 0% in ARM2DL1, 16.9% in ARM2DL2, 8.6% in ARM3DL1 and 19.5% in ARM3DL2. There were 2 dose-limiting toxicities in ARM2DL2, one G3 upper gastrointestinal haemorrhage, possibly related to AR, and one G3 thrombocytopenia and G3 anaemia, definitely related to AR. Ocular toxicity events were G1/2 blurred vision in 5/33 (15%) and G1 xerophthalmia in 1/33 (3%), related to both AR and anti-PD1; G2 keratitis in 1/33 (3%), related to AR only. Only G1 peripheral neuropathy was observed in 4/33 (12%) pts. Efficacy data is presented in the table. In ARM3, the range of tumor measurement (ΤΜ) change was ΔTM=–16.8% to +16.2% and 3/8 (36%) pts with SD had previously been exposed to Gem. Conclusions: Based on the observed disease control rate and acceptable toleratbility, ARM3 (both DL1 and DL2) will be tested in the expansion part. A further 20 patients will be recruited for dose confirmation and comprehensive biomarker evaluation. Pharmacokinetic/pharmacodynamic analysis is under way. Clinical trial information: NCT03816358. [Table: see text]

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
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 head0.091
GPT teacher head0.474
Teacher spread0.383 · 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".

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Citations12
Published2022
Admission routes1
Has abstractyes

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