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A Bayesian network meta‐analysis of comparison of cancer therapeutic vaccines for melanoma
Several approaches to active immunotherapy for melanoma, including peptide‐based vaccines (PVs), autologous tumour cell vaccines (TCVs), allogeneic TCVs and autologous dendritic cell vaccines (DCVs), have been investigated in clinical trials. However, comprehensive evidence comparing these intervent...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518424/ https://www.ncbi.nlm.nih.gov/pubmed/34077578 http://dx.doi.org/10.1111/jdv.17437 |
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author | Lau, P. Shen, M. Ma, F. Chen, Y. Zhang, J. Su, J. Chen, X. Liu, H. |
author_facet | Lau, P. Shen, M. Ma, F. Chen, Y. Zhang, J. Su, J. Chen, X. Liu, H. |
author_sort | Lau, P. |
collection | PubMed |
description | Several approaches to active immunotherapy for melanoma, including peptide‐based vaccines (PVs), autologous tumour cell vaccines (TCVs), allogeneic TCVs and autologous dendritic cell vaccines (DCVs), have been investigated in clinical trials. However, comprehensive evidence comparing these interventions remains unavailable. The objective of this study was to expand previous work to compare and rank the immunotherapeutic strategies for melanoma in terms of overall survival and toxic effects with a Bayesian network meta‐analysis. Methodologically, we performed a network meta‐analysis of head‐to‐head randomized controlled trials comparing and ranking cancer vaccine approaches for patients with melanoma. PubMed, MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, the WHO International Clinical Trials Registry Platform and ClinicalTrials.gov were searched up to 31 July 2020. We estimated summary hazard ratios for death and risk ratios for toxicity. The effects of the underlying prognostic variable on survival benefits were examined by meta‐regression. We performed subgroup analysis for the outcomes based on metastatic categories. Overall, we identified 4776 citations, of which 15 head‐to‐head randomized controlled trials (3162 participants) were included in the analysis. In terms of efficacy, allogeneic tumour cell vaccines plus immunotherapy adjuvants, peptide‐based vaccines plus immunotherapy adjuvants and standard therapy were more effective than peptide vaccines. The proportion of women was inversely associated with mortality risk. For safety, all treatments were inferior to allogeneic tumour cell vaccines except for allogeneic tumour cell vaccines plus chemotherapy. Peptide vaccines plus immunotherapy adjuvants led to an increased risk of adverse events compared to allogeneic tumour cell vaccines plus immunotherapy adjuvants. These results suggest that allogeneic TCV and autologous DCV are better than standard therapy. PV plus immune modulators are the most effective strategy among all comparable strategies but is associated with increased toxicity. Any combination regimens for cancer therapeutic vaccines need to be balanced between risk and benefit profiles. |
format | Online Article Text |
id | pubmed-8518424 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85184242021-10-21 A Bayesian network meta‐analysis of comparison of cancer therapeutic vaccines for melanoma Lau, P. Shen, M. Ma, F. Chen, Y. Zhang, J. Su, J. Chen, X. Liu, H. J Eur Acad Dermatol Venereol Review Articles Several approaches to active immunotherapy for melanoma, including peptide‐based vaccines (PVs), autologous tumour cell vaccines (TCVs), allogeneic TCVs and autologous dendritic cell vaccines (DCVs), have been investigated in clinical trials. However, comprehensive evidence comparing these interventions remains unavailable. The objective of this study was to expand previous work to compare and rank the immunotherapeutic strategies for melanoma in terms of overall survival and toxic effects with a Bayesian network meta‐analysis. Methodologically, we performed a network meta‐analysis of head‐to‐head randomized controlled trials comparing and ranking cancer vaccine approaches for patients with melanoma. PubMed, MEDLINE, Embase, the Cochrane Central Register of Controlled Trials, the WHO International Clinical Trials Registry Platform and ClinicalTrials.gov were searched up to 31 July 2020. We estimated summary hazard ratios for death and risk ratios for toxicity. The effects of the underlying prognostic variable on survival benefits were examined by meta‐regression. We performed subgroup analysis for the outcomes based on metastatic categories. Overall, we identified 4776 citations, of which 15 head‐to‐head randomized controlled trials (3162 participants) were included in the analysis. In terms of efficacy, allogeneic tumour cell vaccines plus immunotherapy adjuvants, peptide‐based vaccines plus immunotherapy adjuvants and standard therapy were more effective than peptide vaccines. The proportion of women was inversely associated with mortality risk. For safety, all treatments were inferior to allogeneic tumour cell vaccines except for allogeneic tumour cell vaccines plus chemotherapy. Peptide vaccines plus immunotherapy adjuvants led to an increased risk of adverse events compared to allogeneic tumour cell vaccines plus immunotherapy adjuvants. These results suggest that allogeneic TCV and autologous DCV are better than standard therapy. PV plus immune modulators are the most effective strategy among all comparable strategies but is associated with increased toxicity. Any combination regimens for cancer therapeutic vaccines need to be balanced between risk and benefit profiles. John Wiley and Sons Inc. 2021-06-29 2021-10 /pmc/articles/PMC8518424/ /pubmed/34077578 http://dx.doi.org/10.1111/jdv.17437 Text en © 2021 The Authors. Journal of the European Academy of Dermatology and Venereology published by John Wiley & Sons Ltd on behalf of European Academy of Dermatology and Venereology https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Review Articles Lau, P. Shen, M. Ma, F. Chen, Y. Zhang, J. Su, J. Chen, X. Liu, H. A Bayesian network meta‐analysis of comparison of cancer therapeutic vaccines for melanoma |
title | A Bayesian network meta‐analysis of comparison of cancer therapeutic vaccines for melanoma |
title_full | A Bayesian network meta‐analysis of comparison of cancer therapeutic vaccines for melanoma |
title_fullStr | A Bayesian network meta‐analysis of comparison of cancer therapeutic vaccines for melanoma |
title_full_unstemmed | A Bayesian network meta‐analysis of comparison of cancer therapeutic vaccines for melanoma |
title_short | A Bayesian network meta‐analysis of comparison of cancer therapeutic vaccines for melanoma |
title_sort | bayesian network meta‐analysis of comparison of cancer therapeutic vaccines for melanoma |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518424/ https://www.ncbi.nlm.nih.gov/pubmed/34077578 http://dx.doi.org/10.1111/jdv.17437 |
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