Spatially resolved proteomic profiling identifies tumor cell CD44 as a biomarker associated with sensitivity to PD-1 axis blockade in advanced non-small-cell lung cancer.


Journal

Journal for immunotherapy of cancer
ISSN: 2051-1426
Titre abrégé: J Immunother Cancer
Pays: England
ID NLM: 101620585

Informations de publication

Date de publication:
08 2022
Historique:
accepted: 17 07 2022
entrez: 24 8 2022
pubmed: 25 8 2022
medline: 27 8 2022
Statut: ppublish

Résumé

Most patients with advanced non-small-cell lung cancer (NSCLC) fail to derive significant benefit from programmed cell death protein-1 (PD-1) axis blockade, and new biomarkers of response are needed. In this study, we aimed to discover and validate spatially resolved protein markers associated with sensitivity to PD-1 axis inhibition in NSCLC. We initially assessed a discovery cohort of 56 patients with NSCLC treated with PD-1 axis inhibitors at Yale Cancer Center. Using the GeoMx Digital Spatial Profiling (DSP) system, 71 proteins were measured in spatial context on each spot in a tissue microarray. We used the AQUA method of quantitative immunofluorescence (QIF) to orthogonally validate candidate biomarkers. For external independent validation, we assessed whole tissue sections derived from 128 patients with NSCLC treated with single-agent PD-1 axis inhibitors at the 12 de Octubre Hospital (Madrid) using DSP. We further analyzed two immunotherapy untreated cohorts to address prognostic significance (n=252 from Yale Cancer Center; n=124 from University Clinic of Navarra) using QIF and DSP, respectively. Using continuous log-scaled data, we identified CD44 expression in the tumor compartment (pan-cytokeratin (CK)+) as a novel predictor of prolonged progression-free survival (PFS) (multivariate HR=0.68, p=0.043) in the discovery set. We validated by QIF that tumor CD44 levels assessed as continuous QIF scores were associated with longer PFS (multivariate HR=0.31, p=0.022) and overall survival (multivariate HR=0.29, p=0.038). Using DSP in an independent immunotherapy treated cohort, we validated that CD44 levels in the tumor compartment, but not in the immune compartment (panCK-/CD45+), were associated with clinical benefit (OR=1.22, p=0.018) and extended PFS under PD-1 axis inhibition using the highest tertile cutpoint (multivariate HR=0.62, p=0.03). The effect of tumor cell CD44 in predicting PFS remained significant after correcting for programmed death-ligand 1 (PD-L1) Tumor Proportion Score (TPS) in both cohorts. High tumor cell CD44 was not prognostic in the absence of immunotherapy. Using DSP data, intratumoral regions with elevated tumor cell CD44 expression showed prominent (fold change>1.5, adjusted p<0.05) upregulation of PD-L1, TIM-3, ICOS, and CD40 in two independent cohorts. This work highlights CD44 as a novel indicative biomarker of sensitivity to PD-1 axis blockade that might help to improve immunotherapy strategies for NSCLC.

Sections du résumé

BACKGROUND
Most patients with advanced non-small-cell lung cancer (NSCLC) fail to derive significant benefit from programmed cell death protein-1 (PD-1) axis blockade, and new biomarkers of response are needed. In this study, we aimed to discover and validate spatially resolved protein markers associated with sensitivity to PD-1 axis inhibition in NSCLC.
METHODS
We initially assessed a discovery cohort of 56 patients with NSCLC treated with PD-1 axis inhibitors at Yale Cancer Center. Using the GeoMx Digital Spatial Profiling (DSP) system, 71 proteins were measured in spatial context on each spot in a tissue microarray. We used the AQUA method of quantitative immunofluorescence (QIF) to orthogonally validate candidate biomarkers. For external independent validation, we assessed whole tissue sections derived from 128 patients with NSCLC treated with single-agent PD-1 axis inhibitors at the 12 de Octubre Hospital (Madrid) using DSP. We further analyzed two immunotherapy untreated cohorts to address prognostic significance (n=252 from Yale Cancer Center; n=124 from University Clinic of Navarra) using QIF and DSP, respectively.
RESULTS
Using continuous log-scaled data, we identified CD44 expression in the tumor compartment (pan-cytokeratin (CK)+) as a novel predictor of prolonged progression-free survival (PFS) (multivariate HR=0.68, p=0.043) in the discovery set. We validated by QIF that tumor CD44 levels assessed as continuous QIF scores were associated with longer PFS (multivariate HR=0.31, p=0.022) and overall survival (multivariate HR=0.29, p=0.038). Using DSP in an independent immunotherapy treated cohort, we validated that CD44 levels in the tumor compartment, but not in the immune compartment (panCK-/CD45+), were associated with clinical benefit (OR=1.22, p=0.018) and extended PFS under PD-1 axis inhibition using the highest tertile cutpoint (multivariate HR=0.62, p=0.03). The effect of tumor cell CD44 in predicting PFS remained significant after correcting for programmed death-ligand 1 (PD-L1) Tumor Proportion Score (TPS) in both cohorts. High tumor cell CD44 was not prognostic in the absence of immunotherapy. Using DSP data, intratumoral regions with elevated tumor cell CD44 expression showed prominent (fold change>1.5, adjusted p<0.05) upregulation of PD-L1, TIM-3, ICOS, and CD40 in two independent cohorts.
CONCLUSIONS
This work highlights CD44 as a novel indicative biomarker of sensitivity to PD-1 axis blockade that might help to improve immunotherapy strategies for NSCLC.

Identifiants

pubmed: 36002182
pii: jitc-2022-004757
doi: 10.1136/jitc-2022-004757
pmc: PMC9413286
pii:
doi:

Substances chimiques

B7-H1 Antigen 0
Biomarkers, Tumor 0
CD44 protein, human 0
Hyaluronan Receptors 0
Programmed Cell Death 1 Receptor 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NCI NIH HHS
ID : P50 CA196530
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States

Informations de copyright

© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: SMM is currently a Boehringer Ingelheim employee. LMM reports speakers honoraria from AstraZeneca and research grants from AstraZeneca and BMS. KAS reports consulting or advisory roles for Shattuck Labs, Pierre Fabre, EMD Serono, Clinica Alemana de Santiago, Genmab, Takeda, Merck Sharpe & Dohme, Bristol Myers Squibb, AstraZeneca, Agenus, Repertoire Therapeutics, OnCusp and Ariagen. Reports grants or research funding from Navigate Biopharma, Tesaro/GSK, Moderna, Takeda, Surface Oncology, Pierre Fabre Research Institute, Merck Sharpe & Dohme, Bristol Myers Squibb, AstraZeneca, Ribon Therapeutics, Akoya Biosciences, Boehringer Ingelheim and Eli Lilly. RSH has served as Non-Executive Director for Immunocore and is a member of the Board of Directors (non-executive/independent) for Junshi Biosciences; is a consultant for AbbVie, Armo Biosciences, AstraZeneca, Bristol Myers Squibb, Bayer HealthCare Pharmaceuticals, Bolt Biotherapeutics, Candel Therapeutics, Checkpoint Therapeutics, Cybrexa Therapeutics, DynamiCure Biotechnology, Eli Lilly and Company, eFFECTOR Therapeutics, EMD Serono, Foundation Medicine, Genentech/Roche, Genmab, Gilead, HiberCell, I‐Mab Biopharma, Immune‐Onc Therapeutics, Immunocore, Johnson & Johnson, Loxo Oncology, Merck and Company, Mirati Therapeutics, NextCure, Novartis, Ocean Biomedical, Oncocyte, Oncternal Therapeutics, Pfizer, Refactor Health, Ribbon Therapeutics, Sanofi, STCube Pharmaceuticals, Takeda, WindMIL Therapeutics, Xencor; has received research support from AstraZeneca, Eli Lilly and Company, Genentech/Roche, and Merck and Company; is a committee chair in American Association for Cancer Research, International Association for the Study of Lung Cancer, Society for Immunotherapy of Cancer, Southwest Oncology Group LP-A reports receiving honoraria from Amgen, AstraZeneca, Bayer, Blueprint Medicines, Bristol Myers Squibb, Celgene, Ipsen, Eli Lilly, Merck Serono, Mirati Therapeutics, Merck Sharp & Dohme, Novartis, Pfizer, PharmaMar, Roche/Genentech, Sanofi, Servier, and Takeda; leadership fees from Genomica and ALTUM Sequencing; research funding from AstraZeneca, Bristol Myers Squibb, Kura Oncology, PharmaMar, and Merck Sharp & Dohme; speaker fees from Bristol Myers Squibb, Eli Lilly, Merck Serono, Merck Sharp & Dohme Oncology, Pfizer, and Roche/Genentech; and travel, accommodation, and expenses from AstraZeneca, Bristol Myers Squibb, Merck Sharp & Dohme, Pfizer, Roche, and Takeda. DLR reports grants from Navigate Biopharma and Konica/Minolta/Invicro during the conduct of the study. Activities outside this work include honoraria and/or grants and/or instrument support from Akoya, Amgen, AstraZeneca, BMS, Cell Signaling Technology, Cepheid, Danaher, Konica/Minolta, Lilly, Merck, NanoString, NextCure, Odonate, Paige.AI, Roche, Sanofi, and Ventana. JZ has served as a consultant for AstraZeneca, BMS, Roche, Pfizer, Novartis, and Guardant Health. Reports speakers honoraria from BMS, Pfizer, Roche, AstraZeneca, NanoString and Guardant Health. Reports travel honoraria from BMS, Pfizer, Roche, AstraZeneca, and NanoString. Receives research support/funds from BMS, AstraZeneca, and Roche. The rest of the authors declare no conflicts of interest.

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Auteurs

Myrto K Moutafi (MK)

Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.

Magdalena Molero (M)

Tumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.
H12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Spanish National Cancer Research Center (CNIO), Madrid, Spain.

Sandra Martinez Morilla (S)

Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.

Javier Baena (J)

Tumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.
Department of Medical Oncology, 12 de Octubre Hospital, Madrid, Spain.

Ioannis A Vathiotis (IA)

Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.

Niki Gavrielatou (N)

Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.

Laura Castro-Labrador (L)

Tumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.

Gorka Ruiz de Garibay (GR)

Tumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.
H12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Spanish National Cancer Research Center (CNIO), Madrid, Spain.

Vera Adradas (V)

Tumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.

Daniel Orive (D)

Program in Solid Tumors, CIMA-University of Navarra, Pamplona, Spain.
Department of Pathology, University of Navarra, Pamplona, Spain.

Karmele Valencia (K)

Program in Solid Tumors, CIMA-University of Navarra, Pamplona, Spain.
Spanish Center for Biomedical Research Network in Oncology, CIBERONC, Madrid, Spain.
Health Research Institute of Navarra, IdiSNA, Pamplona, Spain.

Alfonso Calvo (A)

Program in Solid Tumors, CIMA-University of Navarra, Pamplona, Spain.
Department of Pathology, University of Navarra, Pamplona, Spain.
Spanish Center for Biomedical Research Network in Oncology, CIBERONC, Madrid, Spain.
Health Research Institute of Navarra, IdiSNA, Pamplona, Spain.

Luis M Montuenga (LM)

Program in Solid Tumors, CIMA-University of Navarra, Pamplona, Spain.
Department of Pathology, University of Navarra, Pamplona, Spain.
Spanish Center for Biomedical Research Network in Oncology, CIBERONC, Madrid, Spain.
Health Research Institute of Navarra, IdiSNA, Pamplona, Spain.

S Ponce Aix (S)

Tumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.
H12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Spanish National Cancer Research Center (CNIO), Madrid, Spain.
Department of Medical Oncology, 12 de Octubre Hospital, Madrid, Spain.
Spanish Center for Biomedical Research Network in Oncology, CIBERONC, Madrid, Spain.

Kurt A Schalper (KA)

Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.
Department of Medicine (Oncology), Yale University School of Medicine, New Haven, Connecticut, USA.

Roy S Herbst (RS)

Department of Medicine (Oncology), Yale University School of Medicine, New Haven, Connecticut, USA.

Luis Paz-Ares (L)

Tumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.
H12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Spanish National Cancer Research Center (CNIO), Madrid, Spain.
Department of Medical Oncology, 12 de Octubre Hospital, Madrid, Spain.
Spanish Center for Biomedical Research Network in Oncology, CIBERONC, Madrid, Spain.
Department of Medicine, Complutense University, Madrid, Spain.

David L Rimm (DL)

Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.
Department of Medicine (Oncology), Yale University School of Medicine, New Haven, Connecticut, USA.

Jon Zugazagoitia (J)

Tumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain j.zugazagoitia.imas12@h12o.es.
H12O-CNIO Lung Cancer Clinical Research Unit, Instituto de Investigación Sanitaria Hospital 12 de Octubre (imas12), Spanish National Cancer Research Center (CNIO), Madrid, Spain.
Department of Medical Oncology, 12 de Octubre Hospital, Madrid, Spain.
Spanish Center for Biomedical Research Network in Oncology, CIBERONC, Madrid, Spain.

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