scholarly journals 444P Overall survival (OS) by EGFR mutation status and subtypes (Deletion 19/L858R) for first-line therapies with maintenance regimens in advanced non-small-cell lung cancer (NSCLC): a Bayesian multiple treatment comparison (MTC) meta-analysis

2015 ◽  
Vol 26 ◽  
pp. ix125 ◽  
Author(s):  
P.S. Tan ◽  
G. Lopes ◽  
S. Aacharyya ◽  
M. Bilger ◽  
B. Haaland
2019 ◽  
Vol Volume 12 ◽  
pp. 1413-1421 ◽  
Author(s):  
Marscha S Holleman ◽  
Harm van Tinteren ◽  
Harry J M Groen ◽  
Maiwenn J Al ◽  
Carin A Uyl-de Groot

2020 ◽  
Vol 16 (36) ◽  
pp. 3107-3116
Author(s):  
MeganS Farris ◽  
Kelly A Larkin-Kaiser ◽  
Tayler Scory ◽  
Devon Boyne ◽  
Keith D Wilner ◽  
...  

Aim: To update overall survival (OS) results from a previous network meta analysis comparing the relative clinical efficacy of epidermal growth factor receptor-targeted tyrosine kinase inhibitors ( EGFR TKIs) for EGFR mutation positive ( EGFR+) advanced non-small-cell lung cancer (NSCLC). Materials & methods: A Bayesian network meta analysis was conducted using updated/mature randomized controlled trial OS results in response to first-line EGFR TKI therapies. Results: Dacomitinib showed a numerical improvement of OS relative to other EGFR TKIs: afatinib (hazard ratio [HR]: 0.87; 95% credible interval [CrI]: 0.61–1.24), erlotinib (HR: 0.79; 95% CrI: 0.44–1.42), gefitinib (HR: 0.75; 95% CrI: 0.59–0.95) and osimertinib (HR: 0.94; 95% CrI: 0.68–1.29). Conclusion: Dacomitinib should be considered as a first-line treatment option for patients diagnosed with advanced EGFR+ NSCLC.


2017 ◽  
Vol 07 (04) ◽  
pp. 117-129
Author(s):  
Xiaoshun Shi ◽  
Fuxi Huang ◽  
Allen M. Chen ◽  
Zhuolin Wu ◽  
Qianqian Huang ◽  
...  

Medicina ◽  
2019 ◽  
Vol 55 (2) ◽  
pp. 41
Author(s):  
Hyeong Su Kim ◽  
Jung Han Kim ◽  
Boram Han ◽  
Dae Ro Choi

Objectives: This meta-analysis investigated the relationship between thyroid transcription factor-1 (TTF-1) expression and epidermal growth factor receptor (EGFR) mutations in non-small-cell lung cancer (NSCLC) to clarify whether TTF-1 can be a potential surrogate marker for EGFR mutation status in advanced NSLCL. Methods: A systematic searching of databases, including PubMed, EMBASE, Cochrane Library, and Google Scholar, was performed to identify studies assessing the correlation of TTF-1 expression with EGFR mutations. From 17 studies, 9764 patients were included in the combined analysis of odds ratio (OR) for the correlation between TTF-1 expression and EGFR mutations. Results: Compared with NSCLCs showing negative TTF-1 expression, tumors harboring TTF-1 overexpression showed a significantly higher rate of EGFR mutations (OR = 5.19, 95% confidence interval: 3.60–7.47, p < 0.00001). This correlation was observed in both subgroups of East Asian (OR = 4.33, 95% CI: 3.46–5.41, p < 0.00001) and European patients (OR = 4.64, 95% CI: 1.41–15.28, p < 0.01). In addition, TTF-1 expression was significantly associated with EGFR mutations in exon 19 (OR = 4.63, 95% CI: 2.89–7.41, p < 0.00001) as well as exon 21 (OR = 3.16, 95% CI: 1.04–9.60, p = 0.04). Conclusions: This meta-analysis demonstrates a significant correlation between TTF-1 expression and EGFR mutations in patients with NSCLC. The status of TTF-1 expression may be a biomarker to guide anticancer treatment in patients with NSCLC and unknown EGFR mutation status.


2015 ◽  
Vol 24 (8) ◽  
pp. 1254-1261 ◽  
Author(s):  
Wolfgang Schuette ◽  
Peter Schirmacher ◽  
Wilfried Ernst Erich Eberhardt ◽  
Juergen R. Fischer ◽  
J.-Matthias Graf von der Schulenburg ◽  
...  

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