A genetic polymorphism in pre-miR-27a confers clinical outcome of non-small cell lung cancer in a Chinese population.
A genetic polymorphism in pre-miR-27a confers clinical outcome of non-small cell lung cancer in a Chinese population.
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pre-miR-27a 的基因多态性影响中国人群非小细胞肺癌的临床结果
DOI：
10.1371/journal.pone.0079135
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Shu Y
中科院分区：
文献类型：
--
作者：
Xu J;Yin Z;Shen H;Gao W;Qian Y;Pei D;Liu L;Shu Y
Background Recent evidence indicates that microRNAs (miRNAs) can function as tumor suppressors and oncogenes. Single nucleotide polymorphisms (SNPs) at miRNA genes can influence the maturation of miRNAs or miRNA-mediated transcriptional regulation. Our objective was to investigate the association of SNPs in deregulated miRNAs with clinical outcome in patients with non-small cell lung cancer (NSCLC) in a Chinese population. Methods Deregulated miRNAs in NSCLC and their SNPs were identified through public databases. A single SNP, rs895819 in pre-miR-27a, was found suitable for selection. TaqMan assays were performed for genotyping and to assess the effect on the overall survival (OS) and chemotherapy response in 576 NSCLC patients. Results Log-rank test and Cox regression analysis indicated that the G allele of rs895819 was associated with shorter survival and increased risk of death in NSCLC [dominant model: 22.0 vs. 46.0 months, P<0.001; adjusted hazard ratio (HR) = 1.71, 95% confidential interval (CI): 1.12–2.26]. Further stepwise regression analysis suggested that this SNP was an independently unfavorable factor for the prognosis of NSCLC and the effect remained significant in subgroup analysis stratified by clinical parameters and treatment status. Moreover, multivariate logistic regression analysis showed that the subjects with AG/GG genotypes of rs895819 had significantly decreased response rate to platinum-based chemotherapy compared to those with the AA genotype. Conclusion Our results suggest that the pre-miR-27a rs895819 polymorphism may influence NSCLC patients’ clinical outcome. Further large sample studies should be used to validate our findings.
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影响因子：
6.4
作者：
Chintharlapalli, Sudhakar;Papineni, Sabitha;Abdelrahim, Maen;Abudayyeh, Ala;Jutooru, Indira;Chadalapaka, Gayathri;Wu, Fei;Mertens-Talcott, Susanne;Vanderlaag, Kathy;Cho, Sung Dae;Smith, Roger, III;Safe, Stephen
通讯作者：
Safe, Stephen
影响因子：
8.4
作者：
Eisenhauer, E. A.;Therasse, P.;Verweij, J.
通讯作者：
Verweij, J.
影响因子：
20.4
作者：
Hatlen, Peter;Gronberg, Bjorn Henning;Amundsen, Tore
通讯作者：
Amundsen, Tore
DOI：
10.1073/pnas.0802682105
发表时间：
2008-05-20
影响因子：
11.1
作者：
Jazdzewski, Krystian;Murray, Elizabeth L.;de la Chapelle, Albert
通讯作者：
de la Chapelle, Albert
影响因子：
64.5
作者：
Han, Jinju;Lee, Yoontae;Kim, V. Narry
通讯作者：
Kim, V. Narry