Cargando…
An updated network meta-analysis of EGFR-TKIs and combination therapy in the first-line treatment of advanced EGFR mutation positive non-small cell lung cancer
OBJECTIVES: Tyrosine kinase inhibitors (TKIs) are a standard care option in patients with non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutation. TKI-based combination treatment modes show encouraging outcomes. However, it remains unknown which is the optimal treatm...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376288/ https://www.ncbi.nlm.nih.gov/pubmed/35978809 http://dx.doi.org/10.3389/fonc.2022.616546 |
_version_ | 1784768133097062400 |
---|---|
author | Qi, Yuexiao Xia, Xiaojun Shao, Lihua Guo, Liyun Dong, Yumei Tian, Jinhui Xu, Lijun Niu, Ruijun Wei, Shihong |
author_facet | Qi, Yuexiao Xia, Xiaojun Shao, Lihua Guo, Liyun Dong, Yumei Tian, Jinhui Xu, Lijun Niu, Ruijun Wei, Shihong |
author_sort | Qi, Yuexiao |
collection | PubMed |
description | OBJECTIVES: Tyrosine kinase inhibitors (TKIs) are a standard care option in patients with non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutation. TKI-based combination treatment modes show encouraging outcomes. However, it remains unknown which is the optimal treatment as the first-line regimen for these patients on overall survival (OS). MATERIALS AND METHODS: Randomized controlled trials and meeting abstracts that investigated EGFR-TKIs alone or in combination as front-line care for patients with NSCLC were systematically searched in relevant databases and reviewed. Fixed and random effects network meta-analysis models were used to estimate progression-free survival (PFS), OS, overall response rate, and grade three and higher adverse events (AEs). Surface under the cumulative ranking curves (SUCRAs) were used to rank treatment effects. RESULTS: Eighteen studies covering six treatments and involving a total of 4389 patients were included in this network meta-analysis. On OS, the top three treatment were first-generation EGFR-TKIs (1G EGFR-TKIs) plus chemotherapy (SUCRA, 88.1%), osimertinib (SUCRA, 65.8%) and second-generation EGFR-TKIs (2GEGFR-TKIs) (SUCRA, 63.3%). On PFS, the top three treatments were osimertinib (SUCRA, 96.0%), 1G EGFR-TKIs plus chemotherapy (SUCRA, 67.1%), and 1G EGFR-TKIs plus antiangiogenesis (SUCRA, 48.2%). Two types of TKI-based combination therapy have significantly higher risk of grade three and higher AEs than TKI alone. CONCLUSION: 1G EGFR-TKIs plus chemotherapy and osimertinib seem to be the two better options as first-line care in advanced NSCLC patients with EGFR-mutation. Osimertinib caused the lowest incidence of AEs. However, TKIs-based combination therapy significantly increased AEs. |
format | Online Article Text |
id | pubmed-9376288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93762882022-08-16 An updated network meta-analysis of EGFR-TKIs and combination therapy in the first-line treatment of advanced EGFR mutation positive non-small cell lung cancer Qi, Yuexiao Xia, Xiaojun Shao, Lihua Guo, Liyun Dong, Yumei Tian, Jinhui Xu, Lijun Niu, Ruijun Wei, Shihong Front Oncol Oncology OBJECTIVES: Tyrosine kinase inhibitors (TKIs) are a standard care option in patients with non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) mutation. TKI-based combination treatment modes show encouraging outcomes. However, it remains unknown which is the optimal treatment as the first-line regimen for these patients on overall survival (OS). MATERIALS AND METHODS: Randomized controlled trials and meeting abstracts that investigated EGFR-TKIs alone or in combination as front-line care for patients with NSCLC were systematically searched in relevant databases and reviewed. Fixed and random effects network meta-analysis models were used to estimate progression-free survival (PFS), OS, overall response rate, and grade three and higher adverse events (AEs). Surface under the cumulative ranking curves (SUCRAs) were used to rank treatment effects. RESULTS: Eighteen studies covering six treatments and involving a total of 4389 patients were included in this network meta-analysis. On OS, the top three treatment were first-generation EGFR-TKIs (1G EGFR-TKIs) plus chemotherapy (SUCRA, 88.1%), osimertinib (SUCRA, 65.8%) and second-generation EGFR-TKIs (2GEGFR-TKIs) (SUCRA, 63.3%). On PFS, the top three treatments were osimertinib (SUCRA, 96.0%), 1G EGFR-TKIs plus chemotherapy (SUCRA, 67.1%), and 1G EGFR-TKIs plus antiangiogenesis (SUCRA, 48.2%). Two types of TKI-based combination therapy have significantly higher risk of grade three and higher AEs than TKI alone. CONCLUSION: 1G EGFR-TKIs plus chemotherapy and osimertinib seem to be the two better options as first-line care in advanced NSCLC patients with EGFR-mutation. Osimertinib caused the lowest incidence of AEs. However, TKIs-based combination therapy significantly increased AEs. Frontiers Media S.A. 2022-08-01 /pmc/articles/PMC9376288/ /pubmed/35978809 http://dx.doi.org/10.3389/fonc.2022.616546 Text en Copyright © 2022 Qi, Xia, Shao, Guo, Dong, Tian, Xu, Niu and Wei https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Qi, Yuexiao Xia, Xiaojun Shao, Lihua Guo, Liyun Dong, Yumei Tian, Jinhui Xu, Lijun Niu, Ruijun Wei, Shihong An updated network meta-analysis of EGFR-TKIs and combination therapy in the first-line treatment of advanced EGFR mutation positive non-small cell lung cancer |
title | An updated network meta-analysis of EGFR-TKIs and combination therapy in the first-line treatment of advanced EGFR mutation positive non-small cell lung cancer |
title_full | An updated network meta-analysis of EGFR-TKIs and combination therapy in the first-line treatment of advanced EGFR mutation positive non-small cell lung cancer |
title_fullStr | An updated network meta-analysis of EGFR-TKIs and combination therapy in the first-line treatment of advanced EGFR mutation positive non-small cell lung cancer |
title_full_unstemmed | An updated network meta-analysis of EGFR-TKIs and combination therapy in the first-line treatment of advanced EGFR mutation positive non-small cell lung cancer |
title_short | An updated network meta-analysis of EGFR-TKIs and combination therapy in the first-line treatment of advanced EGFR mutation positive non-small cell lung cancer |
title_sort | updated network meta-analysis of egfr-tkis and combination therapy in the first-line treatment of advanced egfr mutation positive non-small cell lung cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9376288/ https://www.ncbi.nlm.nih.gov/pubmed/35978809 http://dx.doi.org/10.3389/fonc.2022.616546 |
work_keys_str_mv | AT qiyuexiao anupdatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT xiaxiaojun anupdatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT shaolihua anupdatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT guoliyun anupdatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT dongyumei anupdatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT tianjinhui anupdatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT xulijun anupdatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT niuruijun anupdatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT weishihong anupdatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT qiyuexiao updatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT xiaxiaojun updatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT shaolihua updatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT guoliyun updatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT dongyumei updatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT tianjinhui updatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT xulijun updatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT niuruijun updatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer AT weishihong updatednetworkmetaanalysisofegfrtkisandcombinationtherapyinthefirstlinetreatmentofadvancedegfrmutationpositivenonsmallcelllungcancer |