CD8 and PD-L1 determination in lung tumor tissue as prognostic biomarker and a predictive marker of anti PD-1 efficacy.

Authors

null

Jean-David Fumet

Department of Medical Oncology, Center GF Leclerc, Dijon, France

Jean-David Fumet , Corentin Richard , Fanny Ledys , Quentin Klopfenstein , Caroline Truntzer , Bruno P. Coudert , Laurent Arnould , Laure Favier , Aurelie Lagrange , Sylvain Ladoire , Pierre Saintigny , Sandra Ortiz-Cuaran , Maurice Perol , Pascal Foucher , Paul Hofman , Marius Ilie , Sandy Chevrier , Romain Boidot , Valentin Derangere , François Ghiringhelli

Organizations

Department of Medical Oncology, Center GF Leclerc, Dijon, France, Research Platform in Biological Oncology, Center GF Leclerc, Dijon, France, Research Platform in Biological Oncology, Dijon, France, Department of Pathology, Center GF Leclerc, Dijon, France, Department of Medical Oncology, Center GF Leclerc, Dijon Cedex, FR, INSERM U1052, CNRS UMR 5286, Cancer Research Center of Lyon, Université de Lyon, Centre Léon Bérard, Université Lyon 1, ISPB, Faculté de Pharmacie de Lyon, Lyon, France, Department of Thoracic Oncology, Centre Léon Bérard, Lyon, France, Dijon University Hospital, Dijon, France, Laboratory of Clinical and Experimental Pathology, Pasteur Hospital, FHU OncoAge, University Côte d'Azur, Nice, France, Department of Medical Oncology, Center GF Leclerc, Dijon, France, Dijon Cedex, FR

Research Funding

Other Foundation

Background: With recent approval of mAb targeting PD-1 and PD-L1 for non–small cell lung cancer (NSCLC), extensive efforts are under way to develop predictive biomarkers for anti PD-1/PD-L1 response. PD-L1 expression upon histology is currently the only clinically available biomarker, but mRNA immune signatures are also emerging. While the efficacy of these drugs is dependent on CD8 T-cells, no study has evaluated both CD8 and PD-L1 as biomarkers. Methods: CD8 and PD-L1 expression was studied by RNA sequencing and immunohistochemistry (IHC). We used RNA sequencing data from The Cancer Genome Atlas (TCGA) lung cancer samples as a prognostic cohort. We validated the results obtained from the transcriptomic data with IHC data using another prognostic cohort of 34 metastatic NSCLC tumor samples untreated by immunotherapy and stained using CD8 and PD-L1. A predictive study was conducted on 85 NSCLC patients treated with nivolumab, for whom outcome was known. To evaluate our signature, we used IFN and Immune Expanded Signature (IES), previously described as gold standards. Data were externally validated using public data (GSE93157). Results: In the prognostic TCGA mRNA cohort, we observed that high CD8 expression is associated with better overall survival, while PD-L1 expression is associated with poor prognosis. CD8 and PD-L1 determined upon IHC also had prognostic value in the prognostic cohort. In the predictive cohort, CD8 and PD-L1 expression evaluated using mRNA or IHC are associated with better progression-free survival in patients treated with nivolumab. Use of mRNA improved discrimination when compared with histological measures. A combination of both CD8 and PDL1 variables was highly predictive of outcome and remained significant after adjustment for usual clinical variables (age, sex, histology performance status). This 2-gene signature using CD8 and PD-L1 outperformed both IFN and EIG signatures, even with IHC data. Similar results were obtained in the external validation cohort (GSE93157). Conclusions: CD8 and PD-L1 mRNA or IHC could be used to address NSCLC outcomes for patients treated with nivolumab.

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Abstract Details

Meeting

2018 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Developmental Therapeutics—Immunotherapy

Track

Developmental Therapeutics and Translational Research

Sub Track

Biomarkers and Correlative Studies from Immunotherapy Trials

Citation

J Clin Oncol 36, 2018 (suppl; abstr 3021)

DOI

10.1200/JCO.2018.36.15_suppl.3021

Abstract #

3021

Poster Bd #

235

Abstract Disclosures

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