Role of pleural and peritoneal metastasis in immune checkpoint inhibitors efficacy patients with non-small cell lung cancer: real-world data from a large cohort in France.


Journal

Journal of cancer research and clinical oncology
ISSN: 1432-1335
Titre abrégé: J Cancer Res Clin Oncol
Pays: Germany
ID NLM: 7902060

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 12 03 2020
accepted: 14 05 2020
pubmed: 1 6 2020
medline: 17 9 2020
entrez: 1 6 2020
Statut: ppublish

Résumé

Checkpoint inhibitors (CKI) targeting PD-1 or PD-L1 are major therapies for the treatment of non-small cell lung cancer (NSCLC). Despite numerous studies of biological biomarkers, we currently lack a marker to predict CKI primary resistance. The aim of this study was to isolate clinical markers associated with the absence of efficacy of CKI used as monotherapy in NSCLC. We conducted a retrospective analysis of 172 patients treated with anti-PD1 or anti-PDL1 monoclonal antibodies (mAb) for advanced NSCLC at the Dijon Cancer Center. Baseline characteristics were compared using the Chi squared test between responders and non-responders. Survival curves were estimated by the Kaplan-Meier method and compared with the Log-rank test for univariate analysis. Cox regression models were used to determine hazard ratios and 95% confidence intervals for progression-free survival (PFS) and overall survival (OS). Among 172 patients included, 149 (86.5%) received CKI after platinum chemotherapy. Response rate (RR) was 16%, median progression-free survival (PFS) was 2.5 months (95% CI 0.7-30 months) and median overall survival (OS) was 10 months (95% CI 0.7-46.8 months). By univariate analysis, WHO performance status ≥ 1, presence of bone, liver and pleuroperitoneal metastasis were associated with poor PFS and OS. Multivariate analysis showed that only pleuroperitoneal metastasis was independently associated with PFS and OS. Patients with pleuroperitoneal metastasis and WHO performance status ≥ 1 had a < 10% chance of yielding a benefit from CKI. Our data support the hypothesis that pleuroperitoneal metastasis is a major predictive factor affecting CKI efficacy in NSCLC patients and may be used to avoid CKI monotherapy for such patients.

Sections du résumé

BACKGROUND BACKGROUND
Checkpoint inhibitors (CKI) targeting PD-1 or PD-L1 are major therapies for the treatment of non-small cell lung cancer (NSCLC). Despite numerous studies of biological biomarkers, we currently lack a marker to predict CKI primary resistance. The aim of this study was to isolate clinical markers associated with the absence of efficacy of CKI used as monotherapy in NSCLC.
METHODS METHODS
We conducted a retrospective analysis of 172 patients treated with anti-PD1 or anti-PDL1 monoclonal antibodies (mAb) for advanced NSCLC at the Dijon Cancer Center. Baseline characteristics were compared using the Chi squared test between responders and non-responders. Survival curves were estimated by the Kaplan-Meier method and compared with the Log-rank test for univariate analysis. Cox regression models were used to determine hazard ratios and 95% confidence intervals for progression-free survival (PFS) and overall survival (OS).
RESULTS RESULTS
Among 172 patients included, 149 (86.5%) received CKI after platinum chemotherapy. Response rate (RR) was 16%, median progression-free survival (PFS) was 2.5 months (95% CI 0.7-30 months) and median overall survival (OS) was 10 months (95% CI 0.7-46.8 months). By univariate analysis, WHO performance status ≥ 1, presence of bone, liver and pleuroperitoneal metastasis were associated with poor PFS and OS. Multivariate analysis showed that only pleuroperitoneal metastasis was independently associated with PFS and OS. Patients with pleuroperitoneal metastasis and WHO performance status ≥ 1 had a < 10% chance of yielding a benefit from CKI.
CONCLUSIONS CONCLUSIONS
Our data support the hypothesis that pleuroperitoneal metastasis is a major predictive factor affecting CKI efficacy in NSCLC patients and may be used to avoid CKI monotherapy for such patients.

Identifiants

pubmed: 32474752
doi: 10.1007/s00432-020-03262-2
pii: 10.1007/s00432-020-03262-2
doi:

Substances chimiques

Antibodies, Monoclonal, Humanized 0
Antineoplastic Agents, Immunological 0
B7-H1 Antigen 0
CD274 protein, human 0
PDCD1 protein, human 0
Programmed Cell Death 1 Receptor 0
Nivolumab 31YO63LBSN
pembrolizumab DPT0O3T46P

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2699-2707

Auteurs

Anne Aarnink (A)

Department of Medical Oncology, Center Georges François Leclerc, 1 rue du Professeur Marion, 21000, Dijon, France.

Jean David Fumet (JD)

Department of Medical Oncology, Center Georges François Leclerc, 1 rue du Professeur Marion, 21000, Dijon, France.
Research Platform in Biological Oncology, Dijon, France.
GIMI Genetic and Immunology Medical Institute, Dijon, France.
University of Burgundy-Franche Comté, Dijon, France.
UMR INSERM 1231, Dijon, France.

Laure Favier (L)

Department of Medical Oncology, Center Georges François Leclerc, 1 rue du Professeur Marion, 21000, Dijon, France.

Caroline Truntzer (C)

Research Platform in Biological Oncology, Dijon, France.
GIMI Genetic and Immunology Medical Institute, Dijon, France.
UMR INSERM 1231, Dijon, France.

Francois Ghiringhelli (F)

Department of Medical Oncology, Center Georges François Leclerc, 1 rue du Professeur Marion, 21000, Dijon, France. fghiringhelli@cgfl.fr.
Research Platform in Biological Oncology, Dijon, France. fghiringhelli@cgfl.fr.
GIMI Genetic and Immunology Medical Institute, Dijon, France. fghiringhelli@cgfl.fr.
University of Burgundy-Franche Comté, Dijon, France. fghiringhelli@cgfl.fr.
UMR INSERM 1231, Dijon, France. fghiringhelli@cgfl.fr.

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Classifications MeSH