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601 Identification of non-squamous NSCLC molecular subtypes and association with outcomes in the phase 3 IMpower150 study of 1L atezolizumab ± bevacizumab + carboplatin-paclitaxel in metastatic NSCLC

2023· article· en· W4388042546 on OpenAlexaff
Tianshi Lü, Mark A. Socinski, Martin Reck, Howard West, Federico Cappuzzo, Fabrice Barlési, Robert M. Jotte, Sören Müller, Habib Hamidi, Assaf Amitai, Hartmut Koeppen, David S. Shames, Marcus Ballinger, Aditi Qamra, Minu K. Srivastava, Barzin Y. Nabet

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsRoche (Canada)
FundersF. Hoffmann-La Roche
KeywordsCarboplatinAtezolizumabBevacizumabMedicineInternal medicinePaclitaxelOncologyPopulationChemotherapyCancer researchCancerImmunotherapyCisplatinNivolumab

Abstract

fetched live from OpenAlex

<h3>Background</h3> The phase 3 IMpower150 trial showed significantly improved progression-free survival (PFS) and overall survival (OS) with atezolizumab plus bevacizumab plus carboplatin-paclitaxel (ABCP) versus bevacizumab plus carboplatin-paclitaxel (BCP) in chemotherapy-naive patients with non-squamous metastatic NSCLC, regardless of tumor PD-L1 status. Based on these findings, ABCP became an approved first-line treatment for metastatic non-squamous NSCLC. No clinical benefit was seen with atezolizumab plus carboplatin-paclitaxel (ACP) versus BCP in the intent-to-treat population. Our objectives were to characterize the molecular subtypes of non-squamous NSCLC and to explore the relationship between molecular subtype, PD-L1 status and clinical outcomes with ABCP, ACP and BCP. <h3>Methods</h3> RNA sequencing of 564 primary pre-treatment non-squamous NSCLC tumor samples from IMpower150 was analyzed in the ACBP (n=195), ACP (n=178) and BCP (n=185) treatment arms; 6 samples were from patients who were not treated. Non-negative matrix factorization (NMF) was applied to variably expressed genes to define non-squamous molecular subtypes. Tumor PD-L1 levels for each subtype were determined by SP263 immunohistochemistry (Ventana). OS and PFS in each treatment arm were analyzed by NMF subtype. <h3>Results</h3> Four molecular subtypes were identified. NMF1 (n=103) had high enrichment of endothelial cells, neutrophils and basal/squamous-like cells. NMF2 (n=184) had enrichment of mature dendritic cells, macrophages, monocytes and proliferation. NMF3 (n=158) had the highest enrichment of adenocarcinoma and the lowest levels of squamous and CD8+ T-cells, monocytes and alveolar macrophages. NMF4 (n=119) had the most lymphocyte-inflamed transcriptomic profile, with high enrichment of epithelial-to-mesenchymal transition and B, dendritic, stromal and T cells. PD-L1 expression was significantly higher in NMF2 and NMF4 than in NMF1 and NMF3 (<i>P</i>=7.34e-10). Patients with NMF1 and NMF4 had significantly longer PFS with ABCP than ACP or BCP (<i>P</i>=0.009 and <i>P</i>&lt;0.0001, respectively; table 1). Those with NMF2 and NMF3 showed no differences in PFS between treatments. Patients with NMF1 showed significantly longer OS with ABCP than other treatments (HR for ABCP vs BCP: 0.51 [95% CI, 0.29–0.90]; <i>P</i>=0.019). In patients with NMF4, median OS was 35.4, 17.6 and 21.7 months with ABCP, ACP and CPB, respectively (HR for ABCP vs BCP: 0.59 [95% CI: 0.34, 1.03]; <i>P</i>=0.059). <h3>Conclusions</h3> Four molecular subtypes of treatment-naive, non-squamous, metastatic NSCLC with different immune-cell and tumor microenvironmental features were characterized. Two subtypes had high tumor PD-L1 expression but different immune-cell profiles and clinical outcomes with ABCP. NMF4 may identify a subset of patients with advanced non-squamous NSCLC who benefit uniquely from 1L ACBP treatment. Further investigation is required. <h3>Acknowledgements</h3> Medical writing support was provided by Samantha Santangelo, of Health Interactions, Inc. This study was funded by F. Hoffmann-La Roche, Ltd. <h3>Trial Registration</h3> NCT02366143 <h3>Ethics Approval</h3> The study was conducted in accordance with the International Conference on Harmonisation Good Clinical Practice guidelines and with the principles of the Declaration of Helsinki. All patients provided written informed consent. An independent data monitoring committee reviewed safety data. The protocol was approved by independent ethics committees at each participating site.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.010
GPT teacher head0.272
Teacher spread0.262 · 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".

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Citations1
Published2023
Admission routes1
Has abstractyes

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