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Record W2898393310 · doi:10.1093/annonc/mdy282.043

Avelumab (anti–PD-L1) in Japanese patients with advanced gastric or gastroesophageal junction cancer (GC/GEJC): Updated results from the phase Ib JAVELIN solid tumour JPN trial

2018· article· en· W2898393310 on OpenAlexaboutno aff
Toshihiko Doi, Satoru Iwasa, Kei Muro, Taroh Satoh, Shuichi Hironaka, Taito Esaki, Tomohiro Nishina, Hiroki Hara, Nozomu Machida, Yoshito Komatsu, Yuko Shimada, Satoshi Otsu, Shin Shimizu, Vikram K. Chand, M. Watanabe

Bibliographic record

VenueAnnals of Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAvelumabInternal medicineOncologyMerkel cell carcinomaProgressive diseaseResponse Evaluation Criteria in Solid TumorsGastroenterologyTaxaneMerkel cell polyomavirusPhases of clinical researchChemotherapyCancerUrologyCarcinomaImmunotherapyNivolumabBreast cancer

Abstract

fetched live from OpenAlex

Background: Avelumab, a human anti–PD-L1 IgG1 monoclonal antibody that can induce innate effector function against tumor cells in preclinical models, is an approved treatment for metastatic Merkel cell carcinoma in various countries and platinum-treated advanced urothelial carcinoma in the US and Canada. We report updated results from the dose-expansion part of a phase 1b trial of avelumab in Japanese patients (pts) with advanced GC/GEJC (NCT01943461). Methods: Pts had stage IV GC/GEJC adenocarcinoma and progression after 1 or 2 prior lines of chemotherapy including a platinum and fluoropyrimidine agent (initially enrolled pts) or progression after platinum/fluoropyrimidine followed by a taxane or irinotecan (later pts). Pts received avelumab 10 mg/kg Q2W by IV infusion until confirmed progression, unacceptable toxicity or withdrawal. PD-L1 expression was assessed using the Dako PD-L1 IHC 73-10 assay (≥1% tumor cell cutoff). Results: At data cutoff on Aug 10, 2016, 40 pts had received avelumab (median treatment duration 2.7 mo; range 0.5–21.4). 21 pts (52.5%) had received ≥3 prior lines of therapy for advanced disease. The objective response rate (ORR) was 10.0% (95% CI 2.8–23.7), including complete response in 1 pt and partial response in 3 pts. 17 pts had stable disease as best response and the disease control rate was 52.5%. Median progression-free survival was 2.5 mo (95% CI 1.4–2.8). Median overall survival (OS) was 9.1 mo (95% CI 7.2–11.2) and the 12-mo OS rate was 31.0% (95% CI 15.6–47.8). In evaluable pts with PD-L1 + (n = 11) or PD-L1 − (n = 27) tumors, ORR was 27.3% and 3.7%, respectively. Treatment-related adverse events (TRAEs) of any grade occurred in 32 pts (80.0%), including infusion-related reaction (27.5%; all grade 1/2), pruritus (15.0%), pyrexia (12.5%) and rash (10.0%) in ≥ 10% of pts. Grade 3 TRAEs occurred in 3 pts (7.5%; ALT increase, anemia and hyponatremia); no pt had a grade ≥4 TRAE. 5 pts had an immune-related AE (all grade 1/2); the most common were pruritus (n = 3) and maculopapular rash (n = 2). Conclusions: Avelumab showed acceptable safety and clinical activity in Japanese pts with advanced GC/GEJC progressed after chemotherapy. Clinical trial identification: EMR 100070-002 (NCT01943461). Editorial acknowledgement: Medical writing support was provided by Clinical Thinking Inc, Hamilton, NJ, USA. Legal entity responsible for the study: Merck KGaA, Darmstadt, Germany. Funding: Merck KGaA, Darmstadt, Germany and Pfizer. Disclosure: T. Doi: Consultancy (Includes expert testimony): Lilly, Japan Chugai Pharma, Kyowa, Hakko, Kirin, MSD, Daiichi Sankyo, Amgen, Sumitomo, Dainippon, Taiho Pharmaceutical; Research funding: Taiho Pharmaceutical, Novartis, Merck Serono, Astellas Pharma, MSD, Janssen, Boehringer Ingelheim, Takeda, Pfizer, Lilly, Japan Sumitomo Group, Chugai Pharma, Kyowa, Hakko, Kirin, Daiichi Sankyo, Celgene, Bristol-Myers Squibb, Abbvie, Quintiles. S. Iwasa: Honoraria: Chugai, Takeda; Research funding for institution: Otsuka, Taiho, Chugai, AstraZeneca, Novartis, Sanofi, Ono, Eli Lilly, Merck Serono, Daiichi-Sankyo, Nano Carrier, Teijin Pharma, Dainippon-Sumitomo, Astellas, Bayer, Abbvie, Eisai. K. Muro: Honoraria: Chugai, Taiho, Merck Serono, Yakult, Takeda. T. Satoh: Honoraria: Merck-Serono, Bristol-Myers Squibb, Chugai Pharmaceutical; Consulting or advisory role: Chugai Pharmaceutical, Eli Lilly, Merck Serono, Bristol-Myers Squibb; Research funding: Chugai Pharmaceutical, Yakult Honsha. S. Hironaka: Honoraria: Taiho, Yakult Honsha, Takeda, Novartis; Consulting or advisory role: Eli Lilly, Yakult Honsha. T. Esaki: Research funding: Merck Serono. T. Nishina: Honoraria: Merck Serono. H. Hara: Honoraria: Chugai Pharma; Taiho Pharmaceutical, Merck Serono, Yakult Honsha, Lilly, Ono Pharmaceutical, Takeda; Consulting or Advisory role: Ono Pharmaceutical, Chugai Pharma, Merck Serono, MSD; Research Funding for institution: AstraZeneca, Chugai Pharma, Merck Serono, MSD, Ono Pharmaceutical, Taiho Pharmaceutical, Takeda, Boehringer Ingelheim, Dainippon Sumitomo Pharma, Daiichi Sankyo, Lilly, Pfizer, LSK Biopharma, Eisai, Incyte. Y. Komatsu: Honoraria: Novartis, Pfizer, Bayer; Speakers' bureau: Taiho, Lilly, Chugai, Merck, Novartis, Pfizer, Bayer; Research funding: Taiho, Lilly, MSD, Ono, Novartis, Bayer, Chugai, Yakult. S. Shimizu: Employee: Merck Serono Co, Ltd. V. Chand: Employee: EMD Serono Research & Development Institute, Inc; Stock Shareholder: Bristol-Meyers Squibb M. Watanabe: Employee: Merck Serono Co., Ltd. All other authors have declared no conflicts of interest.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.294
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.045
GPT teacher head0.386
Teacher spread0.340 · 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 teacher head, 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".

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Citations2
Published2018
Admission routes1
Has abstractyes

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