Evidence map›Paper›PMID 36002182›Full record

ArticleJournal for immunotherapy of cancer2022

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.

Myrto K Moutafi, Magdalena Molero, Sandra Martinez Morilla, Javier Baena, Ioannis A Vathiotis, Niki Gavrielatou, Laura Castro-Labrador, Gorka Ruiz de Garibay, Vera Adradas, Daniel Orive and 9 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.7field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 5 institutions in 2 countries.

Myrto K Moutafi *Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-9314-3187
Magdalena Molero *Tumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.
Sandra Martinez MorillaDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.
Javier BaenaTumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.
Ioannis A VathiotisDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-1772-5986
Niki GavrielatouDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0003-1380-6831
Laura Castro-LabradorTumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.
Gorka Ruiz de GaribayTumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.ORCID 0000-0001-9936-8419
Vera AdradasTumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.
Daniel OriveProgram in Solid Tumors, CIMA-University of Navarra, Pamplona, Spain.
Karmele ValenciaProgram in Solid Tumors, CIMA-University of Navarra, Pamplona, Spain.
Alfonso CalvoProgram in Solid Tumors, CIMA-University of Navarra, Pamplona, Spain.ORCID 0000-0003-4074-4242
Luis M MontuengaProgram in Solid Tumors, CIMA-University of Navarra, Pamplona, Spain.
S Ponce AixTumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.
Kurt A SchalperDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-5692-4833
Roy S HerbstDepartment of Medicine (Oncology), Yale University School of Medicine, New Haven, Connecticut, USA.
Luis Paz-AresTumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain.
David L RimmDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-5820-4397
Jon ZugazagoitiaTumor Microenvironment and Immunotherapy Research Group, 12 de Octubre Research Institute (i+12), Madrid, Spain j.zugazagoitia.imas12@h12o.es.ORCID 0000-0001-9352-5882
Research Institute Hospital 12 de Octubre · ESYale University · USNavarre Institute of Health Research · ESUniversidad Complutense de Madrid · ESUniversidad de Navarra · ES

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale SPORE in Lung Cancer (YSILC): The Biology and Personalized Treatment of Lung CancerP50CA196530 · NCI · YALE UNIVERSITY · PI Shuangge Ma · 2015 to 2026
$31.1M
NCATS NIH HHS UL1 TR001863NCI NIH HHS P50 CA196530
6 · The paper itself

Abstract

backgroundMost 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.

methodsWe 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.

resultsUsing 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.

conclusionsThis work highlights CD44 as a novel indicative biomarker of sensitivity to PD-1 axis blockade that might help to improve immunotherapy strategies for NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenBiomarkers, TumorHumansHyaluronan ReceptorsProgrammed Cell Death 1 ReceptorProteomicsB7-H1 AntigenBiomarkers, TumorCD44 protein, humanHyaluronan ReceptorsProgrammed Cell Death 1 Receptorbiomarkers, tumorimmunotherapylung neoplasmsprogrammed cell death 1 receptortumor microenvironment

Identifiers

PMID36002182
PMCPMC9413286
OpenAlexW4292939313

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.