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Second-line avelumab treatment of patients (pts) with metastatic Merkel cell carcinoma (mMCC): Experience from a global expanded access program (EAP).

2018· article· en· W2889677173 on OpenAlexaff
John Walker, Vijay Kasturi, Célèste Lebbé, Shahneen Sandhu, Giovanni Grignani, Meliessa Hennessy, Steven Hildemann, Josh Reed

Bibliographic record

VenueJournal of Clinical Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAvelumabMedicineMerkel cell carcinomaExpanded accessInternal medicineProgressive diseaseMerkel cell polyomavirusClinical trialOncologyCarcinomaChemotherapyNivolumabCancerImmunotherapy

Abstract

fetched live from OpenAlex

9537 Background: Avelumab is a human anti–PD-L1 IgG1 antibody that showed a favorable efficacy and toxicity profile in pts with mMCC and progressive disease (PD) on or after chemotherapy (CT) in the phase 2 JAVELIN Merkel 200 trial (JM 200; NCT02155647), leading to accelerated approval in the US and Europe. We describe real-world experience with avelumab in a global EAP for pts with mMCC. Methods: Pts participating in the EAP (NCT03089658) had stage IV mMCC and PD on or after CT or were ineligible for CT. In contrast to JM 200, pts in the EAP could have ECOG performance status of 2, treated brain metastases, or immunosuppressive conditions with sponsor medical approval. Pts received avelumab 10 mg/kg IV Q2W until PD or unacceptable toxicity. A 3-mo supply of avelumab for approved pts was provided to treating physicians; additional re-supply was allowed for pts who had complete response (CR), partial response (PR), stable disease (SD), or clinical benefit per treating physician assessment. No central imaging was obtained. Results: Between Jan 2016 and Jan 2018, 460 requests for avelumab were received from 37 countries: 395 were approved, 45 were medically rejected for various reasons (eg, incorrect diagnosis, lack of appropriate prior therapy, incomplete information), and 37 were withdrawn. Most requests were from France (n = 97), Italy (n = 69), and Australia (n = 46). Median age was 74 y (range, 28-95), and 65.7% of pts were male. Among 131 response-evaluable pts, the objective response rate was 51.1%, including CR in 22.1% (n = 29) and PR in 29.0% (n = 38; including 1 pt with HIV); 19.1% (n = 25) had SD and 29.8% (n = 39) had PD. Durable responses were observed in immune-competent and immunosuppressed pts. Updated data will be presented. The safety profile was similar to that of JM 200. The EAP is ongoing but will close in 2018 (US closed in April 2017) with regulatory approval in multiple countries. Conclusions: The avelumab EAP rapidly enrolled many pts with mMCC and answered an unmet, urgent medical need for pts ineligible for clinical trials or for whom no approved alternative treatments were available. In a real-world setting, avelumab demonstrated safety and efficacy consistent with JM 200. Clinical trial information: NCT03089658.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.804

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.131
GPT teacher head0.490
Teacher spread0.360 · 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 designObservational
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

Citations5
Published2018
Admission routes1
Has abstractyes

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