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222-N Analysis of pathologic features and efficacy outcomes with neoadjuvant nivolumab plus platinum-doublet chemotherapy for resectable non-small cell lung cancer in CheckMate 816

2023· article· en· W4388042232 on OpenAlexaff
Julie S. Deutsch, Ashley Cimino‐Mathews, Elizabeth D. Thompson, Mariano Provencio, Patrick M. Forde, Jonathan Spicer, Nicolas Girard, Daphne Wang, Robert A. Anders, Edward Gabrielson, Peter B. Illei, Jaroslaw Jedrych, Ludmila Danilova, Joel Sunshine, Keith M. Kerr, Mia Tran, Judy Bushong, Junliang Cai, Vipul Devas, Jaclyn Neely, David Balli, Tricia R. Cottrell, Alex S. Baras, Janis M. Taube

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicRadiomics and Machine Learning in Medical Imaging
Canadian institutionsQueen's UniversityMcGill University Health Centre
FundersOno PharmaceuticalBristol-Myers Squibb
KeywordsMedicineNivolumabOncologyChemotherapyNeoadjuvant therapyInternal medicineLung cancerSurrogate endpointCancerResponse Evaluation Criteria in Solid TumorsPhases of clinical researchImmunotherapyBreast cancer

Abstract

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Background Pathologic response assessment after neoadjuvant treatment is the potential analog to radiographic response for advanced disease, with regard to study design, clinical care, and accelerated regulatory approvals. A standardized system for assessing degree of pathologic response in the primary tumor (PT) and lymph nodes (LNs) as a survival surrogate is an unmet need. It is also a prerequisite for determining whether patients with versus without LN involvement benefit from neoadjuvant therapy. Here, in a pre-specified exploratory analysis from CheckMate 816, we report the first in-depth assessment of the full spectrum of percent residual viable tumor (RVT; beyond pathologic complete response) in both the PT and LNs and its association with event-free survival (EFS). This study represents the first prospective use of such a pan-tumor scoring system in a phase 3 registrational trial.Methods Pathologic response was prospectively assessed in the randomized phase 3 study of neoadjuvant nivolumab plus chemotherapy versus chemotherapy alone in patients with resectable non-small cell lung carcinoma. Percentages of RVT, regression, and necrosis were quantified (0%-100%) in the PT and LNs using pan-tumor immune-related pathologic response criteria (irPRC). Pathologic features scored using this system were tested for association with EFS. An exploratory comparison between pathologic response, radiographic response, and circulating tumor DNA (ctDNA) clearance was performed.Results In both treatment arms and regardless of pathologic evidence of LN involvement, EFS was improved in patients with 0% versus >0% RVT-PT (HR=0.18). RVT-PT predicted EFS for nivolumab plus chemotherapy (AUC=0.74); 2-year EFS rates were 90%, 60%, 57%, and 39% for patients with 0%-5%, >5%-30%, >30%-80%, and >80% RVT, respectively. Each 1% increase in RVT associated with a 0.017 increase in HR for EFS. Combining pathologic response from PT+LNs helped differentiate outcomes. An increase in%necrosis was not observed in paired pre- and on-treatment specimens in either treatment arm. Further, necrosis within the on-treatment specimens was associated with lower EFS rates, arguing against necrosis as a histologic feature of treatment effect. When pathologic response was compared to radiographic response and ctDNA clearance, pathologic response best approximated EFS.Conclusions Percent RVT associates with improved EFS, supporting pathologic response as an emerging survival surrogate. Given the prognostic value of%RVT, its assessment using routine surgical pathology workflows, and a scoring system generalizable to any solid tumor type, it is also anticipated to become a biomarker for guiding subsequent adjuvant therapy. Further assessment of clinically-relevant%RVT cutoffs in PT+LN is warranted.Acknowledgements Funding for this study was provided by Bristol Myers Squibb and Ono Pharmaceutical Company Ltd.Trial Registration NCT02998528Ethics Approval This study was approved by the Johns Hopkins University Institutional Review Board.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.310
Teacher spread0.299 · 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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Citations0
Published2023
Admission routes1
Has abstractyes

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