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Safety and clinical activity of MK-3475 in previously treated patients (pts) with non-small cell lung cancer (NSCLC).

2014· article· en· W2471272049 on OpenAlexaff
Edward B. Garon, Natasha B. Leighl, Naiyer A. Rizvi, George R. Blumenschein, Ani Sarkis Balmanoukian, Joseph P. Eder, Jonathan W. Goldman, Rina Hui, Jean‐Charles Soria, Tara C. Gangadhar, Jong‐Mu Sun, Amita Patnaik, Matthew A. Gubens, Gregory M. Lubiniecki, Jin Zhang, Michelle Niewood, Kenneth Emancipator, Marisa Dolled‐Filhart, Mary E. Hanson, Leena Gandhi

Bibliographic record

VenueJournal of Clinical Oncology · 2014
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineTolerabilityInternal medicineRashLung cancerAdverse effectImmunohistochemistryCancerOncologyIncidence (geometry)Gastroenterology

Abstract

fetched live from OpenAlex

8020 Background: This Phase I study evaluated the safety, tolerability, and clinical activity of MK-3475, a selective anti-PD-1 antibody that blocks the interaction between programmed death-1 (PD-1) on T-cells and PD-L1 and PD-L2 on tumor cells in pts with previously-treated, progressive locally advanced or metastatic NSCLC. Methods: Previously-treated pts with NSCLC whose tumors expressed any detectable PD-L1 using a preliminary immunohistochemical assay were randomized to MK-3475 at 10 mg/kg every 2 weeks (Q2W) or 3 weeks (Q3W). Some pts with tumors without PD-L1 expression who had received ≥2 prior lines of therapy were treated with MK-3475 at 10 mg/kg Q2W. At least 1 measurable tumor lesion, ECOG performance status of 0-1, adequate organ function, and new tumor biopsy ≤60 days prior to study entry were required. Tumor response was assessed every 9 wks until disease progression by investigator review using immune-related response criteria (irRC) and independent central review using RECIST 1.1. Results: 450 pts provided tissue for PD-L1 assessment; 305 were eligible based on PD-L1 tumor staining. 221 pts (n=102, Q2W [including 43 whose tumors did not express PD-L1]; n=119, Q3W) began treatment between Feb 2013 and Oct 2013. 48% of pts experienced drug-related adverse events (AEs), usually grade 1-2 in severity, most commonly fatigue (13%), decreased appetite (6.5%), arthralgia (6.1%), pruritus (5.4%), rash (4.7%), and pyrexia (3.6%). The incidence of grade 3/4 drug-related AEs was 6%. There were 3 cases of drug-related grade 3/4 pneumonitis. The preliminary ORR (confirmed & unconfirmed by irRC/RECIST) in all pts was 15%/21% (16%/24% for pts with PD-L1 expressing tumors [19%/31% 10 mg/kg Q2W, 15%/22% 10 mg/kg Q3W], 10%/8% for pts without PD-L1 tumor expression. 40% of pts had <18 wks of follow-up and 69 pts (33%) remain on treatment. A mature dataset will be available for presentation, including correlation between level of tumor PD-L1 expression and response rates. Conclusions: In this cohort of over 200 pts, treatment with MK-3475 was generally well tolerated and provided robust antitumor activity in previously-treated pts with progressive locally advanced or metastatic NSCLC that expressed PD-L1. Clinical trial information: NCT01295827.

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)0.000
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.409
Teacher spread0.369 · 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

Citations64
Published2014
Admission routes1
Has abstractyes

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