Role of Systemic Treatment for Advanced/Metastatic Gastric Carcinoma in the Third-Line Setting: A Bayesian Network Analysis

Background: Increasing evidences from phase II or III trials have proved that salvage systematic therapy, including chemotherapy, target therapy, or checkpoint inhibitor therapy can prolong survival in patients who do not succeed with second line therapy, yet there are no guidelines for the optimum...

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Main Authors: Wen-Tao Pan, Su-Na Zhou, Meng-Xian Pan, Qiu-Yun Luo, Lin Zhang, Da-Jun Yang, Miaozhen Qiu
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.00513/full
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spelling doaj-67c5894700fb45d2a200a00207a132302020-11-25T02:54:17ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2020-04-011010.3389/fonc.2020.00513509385Role of Systemic Treatment for Advanced/Metastatic Gastric Carcinoma in the Third-Line Setting: A Bayesian Network AnalysisWen-Tao Pan0Su-Na Zhou1Meng-Xian Pan2Qiu-Yun Luo3Lin Zhang4Da-Jun Yang5Miaozhen Qiu6State Key Laboratory of Oncology in South China, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Department of Clinical Laboratory, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Department of Experimental Research, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Department of Medical Oncology, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaBackground: Increasing evidences from phase II or III trials have proved that salvage systematic therapy, including chemotherapy, target therapy, or checkpoint inhibitor therapy can prolong survival in patients who do not succeed with second line therapy, yet there are no guidelines for the optimum third-line treatments. To compare the effectiveness and safety of current third-line therapies for metastatic Gastric Cancer (mGC), we conducted this network analysis.Methods: Literature up to Sep 30, 2019 were systematically searched and analyzed by a Bayesian fixed-effect model.Results: This study included seven randomized clinical trails which involved 2,655 patients. It turns out that for overall survival, nivolumab has the highest probability to be the optimal choice for overall survival (OS). For patients with no peritoneal metastases, the network meta-analysis showed that Nivolumab (HR:0.64; 95% CI: 0.48–0.85) and Trifluridine/tipiacil (HR:0.66; 95% CI: 0.51–0.86) were associated with significantly higher improvement in OS than placebo. However, patients with peritoneal metastases could not benefit from nivolumab, ramucirumab, or Trifluridine/tipiacil, when compared with a placebo. For progression-free survival, apatinib (850 mg) was the most likely candidate, followed by ramucirumab. Statistically, Apatinib (850 mg), Trifluridine/tipiacil, and SLC had higher incidences of high-grade adverse events (AEs) than placebo.Conclusion: Our findings demonstrate that nivolumab has the best balance between acceptability and effectiveness in the third line therapy for mGC.https://www.frontiersin.org/article/10.3389/fonc.2020.00513/fullgastric cancersystematic therapyBayesian network analysisoverall survivalprogression free survivalsafety
collection DOAJ
language English
format Article
sources DOAJ
author Wen-Tao Pan
Su-Na Zhou
Meng-Xian Pan
Qiu-Yun Luo
Lin Zhang
Da-Jun Yang
Miaozhen Qiu
spellingShingle Wen-Tao Pan
Su-Na Zhou
Meng-Xian Pan
Qiu-Yun Luo
Lin Zhang
Da-Jun Yang
Miaozhen Qiu
Role of Systemic Treatment for Advanced/Metastatic Gastric Carcinoma in the Third-Line Setting: A Bayesian Network Analysis
Frontiers in Oncology
gastric cancer
systematic therapy
Bayesian network analysis
overall survival
progression free survival
safety
author_facet Wen-Tao Pan
Su-Na Zhou
Meng-Xian Pan
Qiu-Yun Luo
Lin Zhang
Da-Jun Yang
Miaozhen Qiu
author_sort Wen-Tao Pan
title Role of Systemic Treatment for Advanced/Metastatic Gastric Carcinoma in the Third-Line Setting: A Bayesian Network Analysis
title_short Role of Systemic Treatment for Advanced/Metastatic Gastric Carcinoma in the Third-Line Setting: A Bayesian Network Analysis
title_full Role of Systemic Treatment for Advanced/Metastatic Gastric Carcinoma in the Third-Line Setting: A Bayesian Network Analysis
title_fullStr Role of Systemic Treatment for Advanced/Metastatic Gastric Carcinoma in the Third-Line Setting: A Bayesian Network Analysis
title_full_unstemmed Role of Systemic Treatment for Advanced/Metastatic Gastric Carcinoma in the Third-Line Setting: A Bayesian Network Analysis
title_sort role of systemic treatment for advanced/metastatic gastric carcinoma in the third-line setting: a bayesian network analysis
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2020-04-01
description Background: Increasing evidences from phase II or III trials have proved that salvage systematic therapy, including chemotherapy, target therapy, or checkpoint inhibitor therapy can prolong survival in patients who do not succeed with second line therapy, yet there are no guidelines for the optimum third-line treatments. To compare the effectiveness and safety of current third-line therapies for metastatic Gastric Cancer (mGC), we conducted this network analysis.Methods: Literature up to Sep 30, 2019 were systematically searched and analyzed by a Bayesian fixed-effect model.Results: This study included seven randomized clinical trails which involved 2,655 patients. It turns out that for overall survival, nivolumab has the highest probability to be the optimal choice for overall survival (OS). For patients with no peritoneal metastases, the network meta-analysis showed that Nivolumab (HR:0.64; 95% CI: 0.48–0.85) and Trifluridine/tipiacil (HR:0.66; 95% CI: 0.51–0.86) were associated with significantly higher improvement in OS than placebo. However, patients with peritoneal metastases could not benefit from nivolumab, ramucirumab, or Trifluridine/tipiacil, when compared with a placebo. For progression-free survival, apatinib (850 mg) was the most likely candidate, followed by ramucirumab. Statistically, Apatinib (850 mg), Trifluridine/tipiacil, and SLC had higher incidences of high-grade adverse events (AEs) than placebo.Conclusion: Our findings demonstrate that nivolumab has the best balance between acceptability and effectiveness in the third line therapy for mGC.
topic gastric cancer
systematic therapy
Bayesian network analysis
overall survival
progression free survival
safety
url https://www.frontiersin.org/article/10.3389/fonc.2020.00513/full
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