Immunologic constant of rejection as a predictive biomarker of immune checkpoint inhibitors efficacy in non-small cell lung cancer

被引:2
|
作者
Mogenet, Alice [1 ]
Finetti, Pascal [2 ]
Denicolai, Emilie [2 ]
Greillier, Laurent [1 ]
Boudou-Rouquette, Pascaline [3 ]
Goldwasser, Francois [3 ]
Lumet, Gwenael [2 ]
Ceccarelli, Michele [4 ]
Birnbaum, Daniel [2 ]
Bedognetti, Davide [5 ,6 ]
Mamessier, Emilie [2 ]
Barlesi, Fabrice [7 ]
Bertucci, Francois [2 ,8 ]
Tomasini, Pascale [1 ,2 ]
机构
[1] Aix Marseille Univ, Hop Nord, APHM, INSERM,CNRS,CRCM,Multidisciplinary Oncol & Therape, Marseille, France
[2] Aix Marseille Univ, Ctr Rech Cancerol Marseille CRCM, CNRS, INSERM,UMR1068,UMR725,Lab Oncol Predict, Marseille, France
[3] France Univ Paris Descartes, Cochin Hosp, AP HP, Dept Med Oncol,ARIANE,CARPEM, Paris, France
[4] Univ Miami Miller, Sylvester Comprehens Canc Ctr, Sch Med, Dept Publ Hlth Sci, Miami, FL USA
[5] Sidra Med, Div Translat Med, Res Branch, Doha, Qatar
[6] Univ Genoa, Dept Internal Med & Med Specialties, Genoa, Italy
[7] Paris Saclay Univ & Med Oncol, Gustave Roussy, Canc Campus, Villejuif, France
[8] Aix Marseille Univ, Inst Paoli Calmettes, Dept Med Oncol, 232 Bd St Marguer, F-13009 Marseille, France
关键词
Lung cancer; ICR signature; Immune therapy; Biomarkers; Immune checkpoints inhibitors; Transcriptomics; DURABLE CLINICAL BENEFIT; TUMOR MUTATIONAL BURDEN; IFN-GAMMA; EXPRESSION; BLOCKADE; CARCINOMA; PATHWAY; IMMUNOSURVEILLANCE; IMMUNOTHERAPY; PEMBROLIZUMAB;
D O I
10.1186/s12967-023-04463-2
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
BackgroundAnti-PD1/PDL1 immune checkpoint inhibitors (ICI) transformed the prognosis of patients with advanced non-small cell lung cancer (NSCLC). However, the response rate remains disappointing and toxicity may be life-threatening, making urgent identification of biomarkers predictive for efficacy. Immunologic Constant of Rejection signature (ICR) is a 20-gene expression signature of cytotoxic immune response with prognostic value in some solid cancers. Our objective was to assess its predictive value for benefit from anti-PD1/PDL1 in patients with advanced NSCLC.MethodsWe retrospectively profiled 44 primary tumors derived from NSCLC patients treated with ICI as single-agent in at least the second-line metastatic setting. Transcriptomic analysis was performed using the nCounter (R) analysis system and the PanCancer Immune Profiling Panel. We then pooled our data with clinico-biological data from four public gene expression data sets, leading to a total of 162 NSCLC patients treated with single-agent anti-PD1/PDL1. ICR was applied to all samples and correlation was searched between ICR classes and the Durable Clinical Benefit (DCB), defined as stable disease or objective response according to RECIST 1.1 for a minimum of 6 months after the start of ICI.ResultsThe DCB rate was 29%; 22% of samples were classified as ICR1, 30% ICR2, 22% ICR3, and 26% ICR4. These classes were not associated with the clinico-pathological variables, but showed enrichment from ICR1 to ICR4 in quantitative/qualitative markers of immune response. ICR2-4 class was associated with a 5.65-fold DCB rate when compared with ICR1 class. In multivariate analysis, ICR classification remained associated with DCB, independently from PDL1 expression and other predictive immune signatures. By contrast, it was not associated with disease-free survival in 556 NSCLC TCGA patients untreated with ICI.ConclusionThe 20-gene ICR signature was independently associated with benefit from anti-PD1/PDL1 ICI in patients with advanced NSCLC. Validation in larger retrospective and prospective series is warranted.
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页数:11
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