A meta-analysis of the comparing of the first-generation and next-generation TKIs in the treatment of NSCLC

Yongxing Li; Jianye Yang; Yufen Xu; Ming Zhang; Xiaoping Zhang; Wenyu Chen; Xiaodong Lv

doi:10.3934/mbe.2019283

Mathematical Biosciences and Engineering, 2019, 16(5): 5687-5696. doi: 10.3934/mbe.2019283. Research article Special Issues

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A meta-analysis of the comparing of the first-generation and next-generation TKIs in the treatment of NSCLC

Yongxing Li, Jianye Yang, Yufen Xu, Ming Zhang, Xiaoping Zhang, Wenyu Chen, Xiaodong Lv

1 Department of Respiration, Shaoxing Municipal Hospital, Affiliated Hospital of Shaoxing University, Shaoxing 312000, Zhejiang, China
2 Department of Oncology, The First Hospital of Jiaxing, First Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang, China
3 Department of Respiration, The First Hospital of Jiaxing, First Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang, China
4 Division of Science and Education, The First Hospital of Jiaxing, First Affiliated Hospital of Jiaxing University, Jiaxing 314000, Zhejiang, China

Received: , Accepted: , Published:

Special Issues: Advanced Big Data Analysis for Precision Medicine

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Background: The current standard approach to the treatment of patients with non–small-cell lung cancer (NSCLC) harboring epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI)—sensitizing mutations has been the treatment with a first-generation EGFR-TKIs. While, with resistance developed against first-generation EGFR-TKIs, second/third-generation TKIs have attracted all the attention, and replaced first-generation EGFR- TKIs upon disease progression due to the greater efficacy and more favorable tolerability. In the past few years, this strategy has been challenged by clinical evidence when next-generation EGFR-TKIs are used in patients with advanced NSCLC. Objective: In this study, we performed a meta- analysis to investigate the efficacy of next-generation TKIs comparison with first-generation TKIs in the treatment of NSCLC. Methods: The multiple databases including Pubmed, Embase, Cochrane library databases were adopted to search for the relevant studies, and full-text articles involving to comparison of next-generation TKIs and first-generation TKIs were reviewed. After rigorous reviewing on quality, the data was extracted from eligible randomized controlled trial (RCT). Meta-analysis Revman 5.3 software was used to analyze the combined pooled ORs with the corresponding 95% confidence interval using fixed- or random-effects models according to the heterogeneity. Results: A total of 5 randomized controlled trials were included in this analysis. The group of next-generation TKIs did achieved benefit in progression-free survival (PFS) (OR = 0.58, 95%CI = 0.45–0.75, P＜0.0001), overall survival (OS) (OR = 0.76, 95%CI = 0.65–0.90, P = 0.001) as well with the objective response rate (ORR) (OR = 1.27, 95%CI = 1.01–1.61, P = 0.04), respectively. In the results of subgroup analysis of PFS with EGFR mutations, there is also significant differences with exon 19 deletion (OR = 0.56, 95%CI = 0.41–0.77, P = 0.0003) and exon 21 (L858R) mutation (OR = 0.60, 95%CI = 0.49–0.75, P＜＝0.00001). While, the treatment-related severe adverse event (SAE) between the next-generation TKIs and first-generation TKIs did not have statistical significance (OR = 1.48, 95%CI = 0.62–3.55, P = 0.38). Conclusion: The next-generation TKIs significantly improved efficacy outcomes in the treatment of EGFR mutation–positive advanced NSCLC compared with the first-generation TKIs, with a manageable safety profile. These results are potentially important for clinical decision making for these patients.

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Keywords: NSCLC; first-generation EGFR-TKIs; second/third-generation EGFR-TKIs; meta-analysis

Citation: Yongxing Li, Jianye Yang, Yufen Xu, Ming Zhang, Xiaoping Zhang, Wenyu Chen, Xiaodong Lv. A meta-analysis of the comparing of the first-generation and next-generation TKIs in the treatment of NSCLC. Mathematical Biosciences and Engineering, 2019, 16(5): 5687-5696. doi: 10.3934/mbe.2019283

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