Outcomes of patients with advanced solid tumors who discontinued immune-checkpoint inhibitors: a systematic review and meta-analysis.

Discontinuation Immune-checkpoint inhibitors Meta-analysis melanoma NSCLC

Journal

EClinicalMedicine
ISSN: 2589-5370
Titre abrégé: EClinicalMedicine
Pays: England
ID NLM: 101733727

Informations de publication

Date de publication:
Jul 2024
Historique:
received: 16 09 2023
revised: 12 05 2024
accepted: 28 05 2024
medline: 15 7 2024
pubmed: 15 7 2024
entrez: 15 7 2024
Statut: epublish

Résumé

The outcome of patients with metastatic tumors who discontinued immune checkpoint inhibitors (ICIs) not for progressive disease (PD) has been poorly explored. We performed a meta-analysis of all studies reporting the clinical outcome of patients who discontinued ICIs for reasons other than PD. We searched PubMed, Embase and Scopus databases, from the inception of each database to December 2023, for clinical trials (randomized or not) and observational studies assessing PD-(L)1 and CTLA-4 inhibitors in patients with metastatic solid tumors who discontinued treatment for reasons other than PD. Each study had to provide swimmer plots or Kaplan-Meier survival curves enabling the reconstruction of individual patient-level data on progression-free survival (PFS) following the discontinuation of immunotherapy. The primary endpoint was PFS from the date of treatment discontinuation overall and according to tumor histotype, type of treatment and reason of discontinuation. The Combersure's method was used to estimate meta-analytical non-parametric summary survival curves assuming random effects at study level. Thirty-six studies (2180 patients) were included. The pooled median PFS (mPFS) was 24.7 months (95% CI, 18.8-30.6) and the PFS-rate at 12, 24, and 36 months was respectively 69.8% (95% CI, 63.1-77.3), 51.0% (95% CI, 43.4-59.8) and 34.0% (95% CI, 27.0-42.9). Univariable analysis showed that the mPFS was significantly longer for patients with melanoma (43.0 months), as compared with non-small cell lung cancer (NSCLC, 13.5 months) and renal cell carcinoma (RCC, 10.0 months; between-strata comparison test p-value < 0.001); for patients treated with anti-PD-(L)1 + anti-CTLA-4 as compared with anti-PD-(L)1 monotherapy (44.6 versus 19.9 months; p-value < 0.001), and in NSCLC when the reason of treatment discontinuation was elective as compared with toxicity onset (19.6 versus 4.8 months; p-value = 0.003). The multivariable analysis confirmed these differences. The long-term outcome of patients who stopped ICIs for reasons other than PD was substantially affected by clinicopathological features: PFS after treatment discontinuation was longer in patients with melanoma, and/or treated with anti-PD-(L)1 + anti-CTLA-4, and shorter in patients with RCC or in those patients with NSCLC who stopped treatment for toxicity onset. The Italian Ministry of University and Research (PRIN 2022Y7HHNW).

Sections du résumé

Background UNASSIGNED
The outcome of patients with metastatic tumors who discontinued immune checkpoint inhibitors (ICIs) not for progressive disease (PD) has been poorly explored. We performed a meta-analysis of all studies reporting the clinical outcome of patients who discontinued ICIs for reasons other than PD.
Methods UNASSIGNED
We searched PubMed, Embase and Scopus databases, from the inception of each database to December 2023, for clinical trials (randomized or not) and observational studies assessing PD-(L)1 and CTLA-4 inhibitors in patients with metastatic solid tumors who discontinued treatment for reasons other than PD. Each study had to provide swimmer plots or Kaplan-Meier survival curves enabling the reconstruction of individual patient-level data on progression-free survival (PFS) following the discontinuation of immunotherapy. The primary endpoint was PFS from the date of treatment discontinuation overall and according to tumor histotype, type of treatment and reason of discontinuation. The Combersure's method was used to estimate meta-analytical non-parametric summary survival curves assuming random effects at study level.
Findings UNASSIGNED
Thirty-six studies (2180 patients) were included. The pooled median PFS (mPFS) was 24.7 months (95% CI, 18.8-30.6) and the PFS-rate at 12, 24, and 36 months was respectively 69.8% (95% CI, 63.1-77.3), 51.0% (95% CI, 43.4-59.8) and 34.0% (95% CI, 27.0-42.9). Univariable analysis showed that the mPFS was significantly longer for patients with melanoma (43.0 months), as compared with non-small cell lung cancer (NSCLC, 13.5 months) and renal cell carcinoma (RCC, 10.0 months; between-strata comparison test p-value < 0.001); for patients treated with anti-PD-(L)1 + anti-CTLA-4 as compared with anti-PD-(L)1 monotherapy (44.6 versus 19.9 months; p-value < 0.001), and in NSCLC when the reason of treatment discontinuation was elective as compared with toxicity onset (19.6 versus 4.8 months; p-value = 0.003). The multivariable analysis confirmed these differences.
Interpretation UNASSIGNED
The long-term outcome of patients who stopped ICIs for reasons other than PD was substantially affected by clinicopathological features: PFS after treatment discontinuation was longer in patients with melanoma, and/or treated with anti-PD-(L)1 + anti-CTLA-4, and shorter in patients with RCC or in those patients with NSCLC who stopped treatment for toxicity onset.
Funding UNASSIGNED
The Italian Ministry of University and Research (PRIN 2022Y7HHNW).

Identifiants

pubmed: 39007061
doi: 10.1016/j.eclinm.2024.102681
pii: S2589-5370(24)00260-8
pmc: PMC11245998
doi:

Types de publication

Journal Article

Langues

eng

Pagination

102681

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

LP declares speaker engagements with Pierre Fabre. TDP declares Advisory board/Consultations roles with GSK Boehringer Ingelheim and trial support from Pfizer Blueprint Medicines Gilead Amgen Merck. CC declares travel supports from Astra Zeneca and Roche. GLC declares advisory roles and speaker engagements with Novocure, Bristol-Myers Squibb, Astrazeneca, Novartis, Merck Sharp & Dohme, Bayer, and Astellas. GV declares receipt of grants/research supports from Roche/Genentech, Ventana Medical Systems, Dako/Agilent Technologies: receipt of honoraria or consultation fees from Ventana, Dako/Agilent, Roche, MSD Oncology, AstraZeneca, Daiichi Sankyo, Pfizer, Gilead. RDG reports that his institutions receive support for his salary from AstraZeneca, Roche and Merck. AM declares to receive royalties for reagents related to innate immunity; consultant/advisory board roles for Novartis, Roche, Ventana, Pierre Fabre, Verily, Abbvie, BMS, J&J, Imcheck, Myeloid Therapeutics, Astra Zeneca, Biovelocita, BG Fund, Third Rock Venture, Biolegend Verseau Therapeutics, Macrophage pharma, Ellipses Pharma, Olatec Therapeutics, Moderna, Henlius.

Auteurs

Laura Pala (L)

Division of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Eleonora Pagan (E)

Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy.

Isabella Sala (I)

Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy.
Department of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy.

Chiara Oriecuia (C)

Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy.

Matteo Oliari (M)

Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy.

Tommaso De Pas (T)

Division of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Claudia Specchia (C)

Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.

Emilia Cocorocchio (E)

Division of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Emma Zattarin (E)

Division of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Giovanna Rossi (G)

Division of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Chiara Catania (C)

Division of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Giovanni Luca Ceresoli (GL)

Division of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Daniele Laszlo (D)

Division of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Jacopo Canzian (J)

Division of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.
Department of Biomedical Sciences, Humanitas University, Italy.

Elena Valenzi (E)

Division of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.
Department of Biomedical Sciences, Humanitas University, Italy.

Giuseppe Viale (G)

Department of Pathology, European Institute of Oncology, IRCCS Milan, Italy.
University of Milan, Milan, Italy.

Richard D Gelber (RD)

Department of Data Science, Dana-Farber Cancer Institute, Harvard Medical School, Harvard T.H. Chan School of Public Health, and Frontier Science & Technology Research Foundation, Boston, USA.

Alberto Mantovani (A)

Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
William Harvey Research Institute, Queen Mary University, London, UK.
IRCCS Humanitas Research Hospital, Rozzano, Italy.

Vincenzo Bagnardi (V)

Department of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy.

Fabio Conforti (F)

Division of Medical Oncology, Humanitas Gavazzeni, Bergamo, Italy.

Classifications MeSH