Cargando…

Immune checkpoint inhibitors as first line in advanced melanoma: Evaluating progression‐free survival based on reconstructed individual patient data

BACKGROUND: In patients with advanced melanoma, immune‐checkpoint inhibitors (ICIs) represent the mainstay for first line treatment. Recently, relatlimab+nivolumab was proposed as a new combination therapy. This review was aimed at summarizing the current data of effectiveness for ICIs. Progression‐...

Descripción completa

Detalles Bibliográficos
Autores principales: Ossato, Andrea, Damuzzo, Vera, Baldo, Paolo, Mengato, Daniele, Chiumente, Marco, Messori, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939083/
https://www.ncbi.nlm.nih.gov/pubmed/35920297
http://dx.doi.org/10.1002/cam4.5067
_version_ 1784890766794948608
author Ossato, Andrea
Damuzzo, Vera
Baldo, Paolo
Mengato, Daniele
Chiumente, Marco
Messori, Andrea
author_facet Ossato, Andrea
Damuzzo, Vera
Baldo, Paolo
Mengato, Daniele
Chiumente, Marco
Messori, Andrea
author_sort Ossato, Andrea
collection PubMed
description BACKGROUND: In patients with advanced melanoma, immune‐checkpoint inhibitors (ICIs) represent the mainstay for first line treatment. Recently, relatlimab+nivolumab was proposed as a new combination therapy. This review was aimed at summarizing the current data of effectiveness for ICIs. Progression‐free survival (PFS) was the endpoint of our analysis. METHODS: After a standard literature search, Phase II/III studies comparing different ICI regimens in previously untreated advanced melanoma patients were analyzed. Patient‐level data were reconstructed from Kaplan–Meier curves by application of the IPDfromKM method. These reconstructed datasets were used to perform indirect comparisons between treatments. Standard statistical testing was used, including hazard ratio and medians. A secondary analysis employed the restricted mean survival time. RESULTS: Six trials were included in our analysis. Information on PFS from these trials was pooled according to the following treatments: nivolumab or pembrolizumab as monotherapy, or in combination with ipilimumab, and relatlimab + nivolumab. Pembrolizumab+ipilimumab showed significantly better PFS compared with the other treatments; nivolumab+ipilimumab ranked second; the other treatments showed a similar survival pattern. CONCLUSIONS: The picture of comparative effectiveness resulting from our analysis is complex. The IPDfromKM method is advantageous because it accounts for the length of follow‐up but loses the balance between treatment group and controls determined by randomization. Based on indirect comparisons, the combination of pembrolizumab+ipilimumab showed a particularly high efficacy, and so deserves further investigation. While the effect of between‐trial differences in inclusion criteria plays an important role, our results do not support the proposal of relatlimab+nivolumab as a new standard of care.
format Online
Article
Text
id pubmed-9939083
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-99390832023-02-20 Immune checkpoint inhibitors as first line in advanced melanoma: Evaluating progression‐free survival based on reconstructed individual patient data Ossato, Andrea Damuzzo, Vera Baldo, Paolo Mengato, Daniele Chiumente, Marco Messori, Andrea Cancer Med REVIEWS BACKGROUND: In patients with advanced melanoma, immune‐checkpoint inhibitors (ICIs) represent the mainstay for first line treatment. Recently, relatlimab+nivolumab was proposed as a new combination therapy. This review was aimed at summarizing the current data of effectiveness for ICIs. Progression‐free survival (PFS) was the endpoint of our analysis. METHODS: After a standard literature search, Phase II/III studies comparing different ICI regimens in previously untreated advanced melanoma patients were analyzed. Patient‐level data were reconstructed from Kaplan–Meier curves by application of the IPDfromKM method. These reconstructed datasets were used to perform indirect comparisons between treatments. Standard statistical testing was used, including hazard ratio and medians. A secondary analysis employed the restricted mean survival time. RESULTS: Six trials were included in our analysis. Information on PFS from these trials was pooled according to the following treatments: nivolumab or pembrolizumab as monotherapy, or in combination with ipilimumab, and relatlimab + nivolumab. Pembrolizumab+ipilimumab showed significantly better PFS compared with the other treatments; nivolumab+ipilimumab ranked second; the other treatments showed a similar survival pattern. CONCLUSIONS: The picture of comparative effectiveness resulting from our analysis is complex. The IPDfromKM method is advantageous because it accounts for the length of follow‐up but loses the balance between treatment group and controls determined by randomization. Based on indirect comparisons, the combination of pembrolizumab+ipilimumab showed a particularly high efficacy, and so deserves further investigation. While the effect of between‐trial differences in inclusion criteria plays an important role, our results do not support the proposal of relatlimab+nivolumab as a new standard of care. John Wiley and Sons Inc. 2022-08-03 /pmc/articles/PMC9939083/ /pubmed/35920297 http://dx.doi.org/10.1002/cam4.5067 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle REVIEWS
Ossato, Andrea
Damuzzo, Vera
Baldo, Paolo
Mengato, Daniele
Chiumente, Marco
Messori, Andrea
Immune checkpoint inhibitors as first line in advanced melanoma: Evaluating progression‐free survival based on reconstructed individual patient data
title Immune checkpoint inhibitors as first line in advanced melanoma: Evaluating progression‐free survival based on reconstructed individual patient data
title_full Immune checkpoint inhibitors as first line in advanced melanoma: Evaluating progression‐free survival based on reconstructed individual patient data
title_fullStr Immune checkpoint inhibitors as first line in advanced melanoma: Evaluating progression‐free survival based on reconstructed individual patient data
title_full_unstemmed Immune checkpoint inhibitors as first line in advanced melanoma: Evaluating progression‐free survival based on reconstructed individual patient data
title_short Immune checkpoint inhibitors as first line in advanced melanoma: Evaluating progression‐free survival based on reconstructed individual patient data
title_sort immune checkpoint inhibitors as first line in advanced melanoma: evaluating progression‐free survival based on reconstructed individual patient data
topic REVIEWS
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9939083/
https://www.ncbi.nlm.nih.gov/pubmed/35920297
http://dx.doi.org/10.1002/cam4.5067
work_keys_str_mv AT ossatoandrea immunecheckpointinhibitorsasfirstlineinadvancedmelanomaevaluatingprogressionfreesurvivalbasedonreconstructedindividualpatientdata
AT damuzzovera immunecheckpointinhibitorsasfirstlineinadvancedmelanomaevaluatingprogressionfreesurvivalbasedonreconstructedindividualpatientdata
AT baldopaolo immunecheckpointinhibitorsasfirstlineinadvancedmelanomaevaluatingprogressionfreesurvivalbasedonreconstructedindividualpatientdata
AT mengatodaniele immunecheckpointinhibitorsasfirstlineinadvancedmelanomaevaluatingprogressionfreesurvivalbasedonreconstructedindividualpatientdata
AT chiumentemarco immunecheckpointinhibitorsasfirstlineinadvancedmelanomaevaluatingprogressionfreesurvivalbasedonreconstructedindividualpatientdata
AT messoriandrea immunecheckpointinhibitorsasfirstlineinadvancedmelanomaevaluatingprogressionfreesurvivalbasedonreconstructedindividualpatientdata