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First-line monotherapy with nivolumab (NIVO; anti-programmed death-1 [PD-1]) in advanced non-small cell lung cancer (NSCLC): Safety, efficacy and correlation of outcomes with PD-1 ligand (PD-L1) expression.

2015· article· en· W2599175392 on OpenAlexaff
Scott Gettinger, Matthew D. Hellmann, Frances A. Shepherd, Scott Antonia, Julie R. Brahmer, Laura Q.M. Chow, Jonathan W. Goldman, Rosalyn A. Juergens, Hossein Borghaei, Neal Ready, David E. Gerber, Faith E. Nathan, Yun Shen, Christopher Harbison, Naiyer A. Rizvi

Bibliographic record

VenueJournal of Clinical Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsMcMaster UniversityJuravinski Cancer CentrePrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineNivolumabInternal medicineRashLung cancerPneumonitisTolerabilityNeutropeniaAdverse effectOncologyCancerGastroenterologyChemotherapyImmunotherapyLung

Abstract

fetched live from OpenAlex

8025 Background: NIVO, a fully human IgG4 PD-1 immune checkpoint inhibitor antibody, has demonstrated durable responses and tolerability in heavily pretreated patients (pts) with advanced NSCLC. This phase I study evaluated the efficacy and safety of NIVO monotherapy in pts with chemotherapy naïve advanced NSCLC. Methods: Pts (N=52) with squamous (SQ) or non-SQ advanced NSCLC received NIVO 3 mg/kg IV Q2W until progression or unacceptable toxicity (post-progression treatment was permitted per protocol). Response (RECIST v1.1) was evaluated overall, by histology and by tumor PD-L1 expression (PD-L1+: ≥5% tumor cells expressing PD-L1). Results: Objective response rate (ORR) was 21%, with 3 confirmed complete responses; 9/11 responders (82%) achieved response by first scan (wk 11). Median duration of response (mDOR) was not reached (NR; range, 7.6+, 85.6+ wks); 9 pts (82%) had ongoing responses at last tumor assessment, with a minimum follow-up of 8 mos in all pts. Two pts had unconventional immune-pattern responses with 35% and 43% maximum reductions in target lesions, respectively, and simultaneous appearance of new lesions (not reported as responders). Median overall survival (mOS) was 98.3 wks (range, 1.0, 104.4+). Objective responses were observed in both PD-L1+ and PD-L1– pts, with ORR higher in pts with PD-L1+tumors. Eight pts (15%) experienced grade 3–4 treatment-related adverse events, including rash (n=2), increased amylase/lipase, increased AST/ALT, hyperglycemia, cardiac failure, lung infection, and pneumonitis (n=1 each). Conclusions: First-line NIVO demonstrated durable responses, encouraging survival and a tolerable safety profile in pts with advanced NSCLC. Although response rates were higher in PD-L1+ pts, OS was encouraging in both PD-L1+ and PD-L1– pts. Updated OS and safety data will be presented. Clinical trial information: NCT01454102. ORR mDOR mOS n/N (%) wks (range) All pts 11/52 (21) NR (7.6+, 85.6+) 98.3 (1.0, 104.4+) Non-SQ 9/39 (23) NR (7.6+, 85.6+) NR (1.0, 104.4+) SQ 2/13 (15) NR (46.9+, 77.3+) 73.1 (13.3, 87.3+) PD-L1+ 8/26 (31) NR (7.6+, 85.6+) NR (1.0, 103.3+) PD-L1 2/21 (10) NR (13.0+, 24.1+) 98.3 (8.0, 104.4+)

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.055
GPT teacher head0.403
Teacher spread0.348 · 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

Citations36
Published2015
Admission routes1
Has abstractyes

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