GTV differentially impacts locoregional control of non-small cell lung cancer (NSCLC) after different fractionation schedules: Subgroup analysis of the prospective randomized CHARTWEL trial

2013 ◽  
Vol 106 (3) ◽  
pp. 299-304 ◽  
Author(s):  
Maher Soliman ◽  
Ala Yaromina ◽  
Steffen Appold ◽  
Daniel Zips ◽  
Carsten Reiffenstuhl ◽  
...  
2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Shree Ram Lamichhane ◽  
Thanuja Thachil ◽  
Paolo De Ieso ◽  
Harriet Gee ◽  
Simon Andrew Moss ◽  
...  

Background. MicroRNAs (miRNAs) have been found to play an important role in the development and outcomes for multiple human cancers. Their role as a prognostic biomarker in non-small-cell lung cancer (NSCLC) remains unclear. This meta-analysis aims to clarify the role of various miRNAs in the survival of NSCLC patients. Materials and Methods. All studies were identified through medical database search engines. A meta-analysis was conducted to assess the correlation between miRNAs expressions and overall survival among those NSCLC studies. Relevant data were extracted from each eligible study regarding baseline characteristics and key statistics such as hazard ratio (HR), 95% confidence interval (CI), and P value, which were utilized to calculate a pooled effect size. Result. Thirty-two studies were included in the meta-analysis. Using a random effect model, the combined HR and 95% CI for overall survival (OS) was calculated as 1.59 (1.39–1.82), predicting a poor overall survival. Five miRNAs (miR-21, miR-155, miR-let-7, miR-148a, and miR-148b) were found to be of significance for predicting OS in at least two studies, hence, selected for subgroup analysis. Subgroup analysis disclosed that elevated levels of miR-21 and miR-155 in both cancer tissue and blood samples were associated with worse OS. Compared to American studies (I-squared: <0.001% and P value: 0.94), Asian and European studies exhibited greater heterogeneity in miRNA expression and relationship to OS (I-squared, P values were approximately 78.85%, <0.001 and 61.28%, 0.006, respectively). These subgroup analyses also highlighted that elevated expression of miR-21 and miR-155 and low levels of expression of miR-148a, miR-148b, and miR-let-7 were associated with poor prognosis in NSCLC. Conclusion. miR-21, miR-155, miR-148a, miR-148b, and miR-let-7 are consistently up- or downregulated in NSCLC and are associated with poor OS. These miRNAs show potential as useful prognostic biomarkers in the diagnosis, treatment, and follow-up of NSCLC.


2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Guoping Li ◽  
Dan Cheng

Objective. To carry out the meta-analysis on the relationship between the expression of nucleotide excision repair cross-complementary enzyme 1 (ERCC1) protein and platinum chemosensitivity in patients with advanced non-small-cell lung cancer (NSCLC). Methods. The literature on the expression of ERCC1 and platinum chemosensitivity in patients with advanced NSCLC was searched in computer, which was published from January 2009 to August 2019 on the databases such as China Journal Full-text Database (CJFD), China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP, PubMed, EMBASE, and others. Stata 15.0 was used for statistical analysis, and ethnicity subgroup analysis was taken. Results. Finally, 14 studies were included and 1337 patients were involved, of which 697 were ERCC1 positive, with a positive rate of 53.5%. The combined OR was 0.53 (95% CI: 0.30∼0.79; P<0.01). The results of ethnicity subgroup analysis showed that there was no significant difference, with OR of 0.50 (95% CI: 0.31∼0.82; P=0.001) in Asian population and OR of 0.56 (95% CI: 0.30∼1.07) in Caucasian population. Conclusion. The sensitivity to platinum chemotherapy in patients with ERCC1 protein negative expression in the middle and late stages of NSCLC is better than that in patients with positive expression, especially in Asian population. There is no correlation in Caucasian population.


2019 ◽  
Vol 30 ◽  
pp. vi120
Author(s):  
Yoshio Okano ◽  
Tomofumi Ishikawa ◽  
Shintaro Hiro ◽  
Yoko Hirano ◽  
Kentaro Tajima ◽  
...  

2017 ◽  
Vol 12 (1) ◽  
pp. S1169-S1170
Author(s):  
Daniel Shao-Weng Tan ◽  
Enriqueta Felip ◽  
Laura Qm Chow ◽  
Sunil Sharma ◽  
Patrick Urban ◽  
...  

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