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Feasibility and safety of PD-1/L1 inhibitors for non-small cell lung cancer in front-line treatment: a Bayesian network meta-analysis

BACKGROUND: This Bayesian network meta-analysis (NMA) was conducted to compare efficacy and safety of programmed death 1/ligand 1 (PD-1/L1) inhibitors in previous untreated advanced non-small cell lung cancer (NSCLC) patients. METHODS: Eligible studies evaluating first-line anti-PD-1/L1 based regime...

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Autores principales: Liang, Hengrui, Lin, Guo, Wang, Wei, Huang, Jun, Yang, Yilin, Lan, Yuting, Wang, Runchen, Cui, Fei, Hao, Zhexue, Deng, Hongsheng, Zhao, Shen, Cheng, Bo, Xiong, Shan, Li, Jianfu, Li, Caichen, Liu, Jun, He, Jianxing, Liang, Wenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225152/
https://www.ncbi.nlm.nih.gov/pubmed/32420059
http://dx.doi.org/10.21037/tlcr.2020.02.14
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author Liang, Hengrui
Lin, Guo
Wang, Wei
Huang, Jun
Yang, Yilin
Lan, Yuting
Wang, Runchen
Cui, Fei
Hao, Zhexue
Deng, Hongsheng
Zhao, Shen
Cheng, Bo
Xiong, Shan
Li, Jianfu
Li, Caichen
Liu, Jun
He, Jianxing
Liang, Wenhua
author_facet Liang, Hengrui
Lin, Guo
Wang, Wei
Huang, Jun
Yang, Yilin
Lan, Yuting
Wang, Runchen
Cui, Fei
Hao, Zhexue
Deng, Hongsheng
Zhao, Shen
Cheng, Bo
Xiong, Shan
Li, Jianfu
Li, Caichen
Liu, Jun
He, Jianxing
Liang, Wenhua
author_sort Liang, Hengrui
collection PubMed
description BACKGROUND: This Bayesian network meta-analysis (NMA) was conducted to compare efficacy and safety of programmed death 1/ligand 1 (PD-1/L1) inhibitors in previous untreated advanced non-small cell lung cancer (NSCLC) patients. METHODS: Eligible studies evaluating first-line anti-PD-1/L1 based regimens in advanced NSCLC patients were included. Overall survival (OS), progression free survival (PFS), objective response rate (ORR), as well as treatment-related severe adverse events (tr-SAE) were synthesized within the Bayesian framework. Subgroup analysis was conducted according to PD-L1 expression. RESULTS: Twelve studies including 7,490 patients and 9 treatment strategies were enrolled in this study. For the PD-L1 expression non-selective patients, all chemo-immunotherapies were significantly better than chemotherapy for prolonging OS and PFS, except for caremlizumab plus chemotherapy (HR =0.72) failed to show advantages for OS. In addition, pembrolizumab plus chemotherapy showed better PFS than nivolumab plus ipilimumab (HR =0.66). In PD-L1 ≥50% patients, all immunotherapy was better than chemotherapy for OS, except for nivolumab (HR =0.83) and nivolumab plus ipilimumab (HR =0.70). For PFS, pembrolizumab plus chemotherapy (HR =0.39), atezolizumab plus chemotherapy (HR =0.47) and pembrolizumab (HR =0.67) were significantly better than chemotherapy. In PD-L1 1–49% patients, pembrolizumab plus chemotherapy (HR =0.52) and atezolizumab plus chemotherapy (HR =0.70) were better than chemotherapy for PFS. In the PD-L1 positive or negative group, all included corresponding regimens were equivalence according to OS and PFS. CONCLUSIONS: We conducted a systematic comparison of first line immunotherapy for advanced NSCLC. Chemo-immunotherapies were better than chemotherapy and mono-immunotherapies in most patients. Pembrolizumab might have better efficacy than other PD-1/L1 inhibitors.
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spelling pubmed-72251522020-05-15 Feasibility and safety of PD-1/L1 inhibitors for non-small cell lung cancer in front-line treatment: a Bayesian network meta-analysis Liang, Hengrui Lin, Guo Wang, Wei Huang, Jun Yang, Yilin Lan, Yuting Wang, Runchen Cui, Fei Hao, Zhexue Deng, Hongsheng Zhao, Shen Cheng, Bo Xiong, Shan Li, Jianfu Li, Caichen Liu, Jun He, Jianxing Liang, Wenhua Transl Lung Cancer Res Original Article BACKGROUND: This Bayesian network meta-analysis (NMA) was conducted to compare efficacy and safety of programmed death 1/ligand 1 (PD-1/L1) inhibitors in previous untreated advanced non-small cell lung cancer (NSCLC) patients. METHODS: Eligible studies evaluating first-line anti-PD-1/L1 based regimens in advanced NSCLC patients were included. Overall survival (OS), progression free survival (PFS), objective response rate (ORR), as well as treatment-related severe adverse events (tr-SAE) were synthesized within the Bayesian framework. Subgroup analysis was conducted according to PD-L1 expression. RESULTS: Twelve studies including 7,490 patients and 9 treatment strategies were enrolled in this study. For the PD-L1 expression non-selective patients, all chemo-immunotherapies were significantly better than chemotherapy for prolonging OS and PFS, except for caremlizumab plus chemotherapy (HR =0.72) failed to show advantages for OS. In addition, pembrolizumab plus chemotherapy showed better PFS than nivolumab plus ipilimumab (HR =0.66). In PD-L1 ≥50% patients, all immunotherapy was better than chemotherapy for OS, except for nivolumab (HR =0.83) and nivolumab plus ipilimumab (HR =0.70). For PFS, pembrolizumab plus chemotherapy (HR =0.39), atezolizumab plus chemotherapy (HR =0.47) and pembrolizumab (HR =0.67) were significantly better than chemotherapy. In PD-L1 1–49% patients, pembrolizumab plus chemotherapy (HR =0.52) and atezolizumab plus chemotherapy (HR =0.70) were better than chemotherapy for PFS. In the PD-L1 positive or negative group, all included corresponding regimens were equivalence according to OS and PFS. CONCLUSIONS: We conducted a systematic comparison of first line immunotherapy for advanced NSCLC. Chemo-immunotherapies were better than chemotherapy and mono-immunotherapies in most patients. Pembrolizumab might have better efficacy than other PD-1/L1 inhibitors. AME Publishing Company 2020-04 /pmc/articles/PMC7225152/ /pubmed/32420059 http://dx.doi.org/10.21037/tlcr.2020.02.14 Text en 2020 Translational Lung Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Liang, Hengrui
Lin, Guo
Wang, Wei
Huang, Jun
Yang, Yilin
Lan, Yuting
Wang, Runchen
Cui, Fei
Hao, Zhexue
Deng, Hongsheng
Zhao, Shen
Cheng, Bo
Xiong, Shan
Li, Jianfu
Li, Caichen
Liu, Jun
He, Jianxing
Liang, Wenhua
Feasibility and safety of PD-1/L1 inhibitors for non-small cell lung cancer in front-line treatment: a Bayesian network meta-analysis
title Feasibility and safety of PD-1/L1 inhibitors for non-small cell lung cancer in front-line treatment: a Bayesian network meta-analysis
title_full Feasibility and safety of PD-1/L1 inhibitors for non-small cell lung cancer in front-line treatment: a Bayesian network meta-analysis
title_fullStr Feasibility and safety of PD-1/L1 inhibitors for non-small cell lung cancer in front-line treatment: a Bayesian network meta-analysis
title_full_unstemmed Feasibility and safety of PD-1/L1 inhibitors for non-small cell lung cancer in front-line treatment: a Bayesian network meta-analysis
title_short Feasibility and safety of PD-1/L1 inhibitors for non-small cell lung cancer in front-line treatment: a Bayesian network meta-analysis
title_sort feasibility and safety of pd-1/l1 inhibitors for non-small cell lung cancer in front-line treatment: a bayesian network meta-analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225152/
https://www.ncbi.nlm.nih.gov/pubmed/32420059
http://dx.doi.org/10.21037/tlcr.2020.02.14
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