Literature DB >> 27873337

Age-related common miRNA polymorphism associated with severe toxicity in lung cancer patients treated with platinum-based chemotherapy.

Chao Fang1,2, Xiang-Ping Li3, Wei-Jing Gong1,2, Na-Yiyuan Wu1,2, Jie Tang1,2, Ji-Ye Yin1,2, Xi Li1,2, Wei Zhang1,2, Hong-Hao Zhou1,2,4, Zhao-Qian Liu1,2,4.   

Abstract

Platinum-based chemotherapy toxicity severely impedes successful treatment in lung cancer patients. MicroRNAs (miRs) have a significant impact on the occurrence and survival rate of lung cancer. The purpose of this study was to investigate the association between common miRNA variants and platinum-based chemotherapy toxicity in lung cancer patients. A total of eight functional single nucleotide polymorphisms (SNPs) of miRNA were genotyped in 408 lung cancer patients by MALDI-TOF mass spectrometry. All the patients were histologically confirmed as lung cancer, and were treated with platinum-based chemotherapy for at least two cycles. It was found that the polymorphism rs2042553 of miR-5197 had a significant association with overall severe toxicity in both additive (P=.031, odds ratio [OR]=1.41, 95% confidence interval [CI] 1.03-1.93) and dominant (P=.009, OR=1.80, 95% CI 1.16-2.80) models. MiR-605 rs2043556 was significantly related to severe hepatotoxicity in dominant model (P=.022, OR=2.51, 95% CI 1.12-4.14). In addition, rs2910164 of miR-146a had marginal statistical effect on severe hepatotoxicity in additive model (P=.054). The subgroup analyses showed that miR-27a rs895819 was related to gastrointestinal toxicity in age >56 years old, smoking and non-smoking patients. Taken together, our results revealed that polymorphisms of miR-5197, miR-605, miR-146a, and miR-27a contributed to the chemotherapy toxicity of lung cancer, which may serve as a predictive tool for toxicity evaluation of platinum-based chemotherapy in lung cancer patients.
© 2016 John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  lung cancer; miRNA; platinum-based chemotherapy; polymorphism; toxicity

Mesh:

Substances:

Year:  2017        PMID: 27873337     DOI: 10.1111/1440-1681.12704

Source DB:  PubMed          Journal:  Clin Exp Pharmacol Physiol        ISSN: 0305-1870            Impact factor:   2.557


  10 in total

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9.  The Prediction of miRNAs in SARS-CoV-2 Genomes: hsa-miR Databases Identify 7 Key miRs Linked to Host Responses and Virus Pathogenicity-Related KEGG Pathways Significant for Comorbidities.

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10.  Genetic polymorphisms in pre-miRNAs predict the survival of non-small-cell lung cancer in Chinese population: a cohort study and a meta-analysis.

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