Longitudinal Study of Advanced Non-Small Cell Lung Cancer with Initial Durable Clinical Benefit to Immunotherapy: Strategies for Anti-PD-1/PD-L1 Continuation beyond Progression.

PD-1 acquired resistance immune checkpoint inhibitors non-small cell lung cancer oligoprogression tumor growth rate

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
26 Nov 2023
Historique:
received: 30 09 2023
revised: 22 11 2023
accepted: 23 11 2023
medline: 9 12 2023
pubmed: 9 12 2023
entrez: 9 12 2023
Statut: epublish

Résumé

A better understanding of resistance to checkpoint inhibitors is essential to define subsequent treatments in advanced non-small cell lung cancer. By characterizing clinical and radiological features of progression after anti-programmed death-1/programmed death ligand-1 (anti-PD-1/PD-L1), we aimed to define therapeutic strategies in patients with initial durable clinical benefit. This monocentric, retrospective study included patients who presented progressive disease (PD) according to RECIST 1.1 criteria after anti-PD-1/PD-L1 monotherapy. Patients were classified into two groups, "primary resistance" and "Progressive Disease (PD) after Durable Clinical Benefit (DCB)", according to the Society of Immunotherapy of Cancer classification. We compared the post-progression survival (PPS) of both groups and analyzed the patterns of progression. An exploratory analysis was performed using the tumor growth rate (TGR) to assess the global growth kinetics of cancer and the persistent benefit of immunotherapy beyond PD after DCB. A total of 148 patients were included; 105 of them presented "primary resistance" and 43 "PD after DCB". The median PPS was 5.2 months (95% CI: 2.6-6.5) for primary resistance ( PD after DCB is an independent factor of longer post-progression survival with specific patterns that prompt to contemplate loco-regional treatments. TGR is a promising tool to assess the residual benefit of immunotherapy and justify the continuation of immunotherapy in addition to radiotherapy or surgery.

Sections du résumé

BACKGROUND AND AIM OBJECTIVE
A better understanding of resistance to checkpoint inhibitors is essential to define subsequent treatments in advanced non-small cell lung cancer. By characterizing clinical and radiological features of progression after anti-programmed death-1/programmed death ligand-1 (anti-PD-1/PD-L1), we aimed to define therapeutic strategies in patients with initial durable clinical benefit.
PATIENTS AND METHODS METHODS
This monocentric, retrospective study included patients who presented progressive disease (PD) according to RECIST 1.1 criteria after anti-PD-1/PD-L1 monotherapy. Patients were classified into two groups, "primary resistance" and "Progressive Disease (PD) after Durable Clinical Benefit (DCB)", according to the Society of Immunotherapy of Cancer classification. We compared the post-progression survival (PPS) of both groups and analyzed the patterns of progression. An exploratory analysis was performed using the tumor growth rate (TGR) to assess the global growth kinetics of cancer and the persistent benefit of immunotherapy beyond PD after DCB.
RESULTS RESULTS
A total of 148 patients were included; 105 of them presented "primary resistance" and 43 "PD after DCB". The median PPS was 5.2 months (95% CI: 2.6-6.5) for primary resistance (
CONCLUSIONS CONCLUSIONS
PD after DCB is an independent factor of longer post-progression survival with specific patterns that prompt to contemplate loco-regional treatments. TGR is a promising tool to assess the residual benefit of immunotherapy and justify the continuation of immunotherapy in addition to radiotherapy or surgery.

Identifiants

pubmed: 38067291
pii: cancers15235587
doi: 10.3390/cancers15235587
pmc: PMC10705796
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Ivan Pourmir (I)

Department of Thoracic Oncology, Georges Pompidou European Hospital, CARPEM, Paris Cité University, 20 Rue Leblanc, 75015 Paris, France.
INSERM U970, Université Paris-Cité, 56 Rue Leblanc, 75015 Paris, France.

Reza Elaidi (R)

Department of Thoracic Oncology, Georges Pompidou European Hospital, CARPEM, Paris Cité University, 20 Rue Leblanc, 75015 Paris, France.

Zineb Maaradji (Z)

Department of Thoracic Oncology, Georges Pompidou European Hospital, CARPEM, Paris Cité University, 20 Rue Leblanc, 75015 Paris, France.

Hortense De Saint Basile (H)

Department of Thoracic Oncology, Georges Pompidou European Hospital, CARPEM, Paris Cité University, 20 Rue Leblanc, 75015 Paris, France.

Monivann Ung (M)

Department of Radiology, Georges Pompidou European Hospital, CARPEM, AP-HP Paris Cité University, 20 Rue Leblanc, 75015 Paris, France.

Mohammed Ismaili (M)

Department of Thoracic Oncology, Georges Pompidou European Hospital, CARPEM, Paris Cité University, 20 Rue Leblanc, 75015 Paris, France.

Laure Fournier (L)

Department of Radiology, Georges Pompidou European Hospital, CARPEM, AP-HP Paris Cité University, 20 Rue Leblanc, 75015 Paris, France.

Bastien Rance (B)

Department of Medical Bioinformatics, Georges Pompidou European Hospital, 20 Rue Leblanc, 75015 Paris, France.

Laure Gibault (L)

Department of Pathology, Georges Pompidou European Hospital, AP-HP, Cité University, 20 Rue Leblanc, 75015 Paris, France.

Rym Ben Dhiab (R)

Department of Thoracic Oncology, Georges Pompidou European Hospital, CARPEM, Paris Cité University, 20 Rue Leblanc, 75015 Paris, France.

Benoit Gazeau (B)

Department of Thoracic Oncology, Georges Pompidou European Hospital, CARPEM, Paris Cité University, 20 Rue Leblanc, 75015 Paris, France.

Elizabeth Fabre (E)

Department of Thoracic Oncology, Georges Pompidou European Hospital, CARPEM, Paris Cité University, 20 Rue Leblanc, 75015 Paris, France.
INSERM U970, Université Paris-Cité, 56 Rue Leblanc, 75015 Paris, France.

Classifications MeSH