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MicroRNA-Related Polymorphisms in PI3K/Akt/mTOR Pathway Genes Are Predictive of Limited-Disease Small Cell Lung Cancer Treatment Outcomes

The phosphoinositide-3 kinase (PI3K)/Akt/mammalian target of rapamycin (mTOR) signaling pathway plays an important role in cancer progression and treatment, including that of small cell lung cancer (SCLC), a disease with traditionally poor prognosis. Given the regulatory role of microRNA (miRNA) in...

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Autores principales: Jiang, Wei, Zhang, Wenjue, Wu, Lihong, Liu, Lipin, Men, Yu, Wang, Jingbo, Liang, Jun, Hui, Zhouguang, Zhou, Zongmei, Bi, Nan, Wang, Luhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322445/
https://www.ncbi.nlm.nih.gov/pubmed/28280736
http://dx.doi.org/10.1155/2017/6501385
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author Jiang, Wei
Zhang, Wenjue
Wu, Lihong
Liu, Lipin
Men, Yu
Wang, Jingbo
Liang, Jun
Hui, Zhouguang
Zhou, Zongmei
Bi, Nan
Wang, Luhua
author_facet Jiang, Wei
Zhang, Wenjue
Wu, Lihong
Liu, Lipin
Men, Yu
Wang, Jingbo
Liang, Jun
Hui, Zhouguang
Zhou, Zongmei
Bi, Nan
Wang, Luhua
author_sort Jiang, Wei
collection PubMed
description The phosphoinositide-3 kinase (PI3K)/Akt/mammalian target of rapamycin (mTOR) signaling pathway plays an important role in cancer progression and treatment, including that of small cell lung cancer (SCLC), a disease with traditionally poor prognosis. Given the regulatory role of microRNA (miRNA) in gene expression, we examined the association of single nucleotide polymorphisms (SNPs) at miRNA-binding sites of genes in the mTOR pathway with the prognosis of patients with limited-disease SCLC. A retrospective study was conducted of 146 patients with limited-disease SCLC treated with chemoradiotherapy. Nine SNPs of six mTOR pathway genes were genotyped using blood samples. Cox proportional hazard regression modeling and recursive partitioning analysis were performed to identify SNPs significantly associated with overall survival. Three SNPs, MTOR: rs2536 (T>C), PIK3R1: rs3756668 (A>G), and PIK3R1: rs12755 (A>C), were associated with longer overall survival. Recursive partitioning analysis based on unfavorable genotype combinations of the rs2536 and rs3756668 SNPs classified patients into three risk subgroups and was internally validated with 1000 bootstrap samples. These findings suggest that miRNA-related polymorphisms in the PI3K/Akt/mTOR pathway may be valuable biomarkers to complement clinicopathological variables in predicting prognosis of limited-disease SCLC and to facilitate selection of patients likely to benefit from chemoradiotherapy.
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spelling pubmed-53224452017-03-09 MicroRNA-Related Polymorphisms in PI3K/Akt/mTOR Pathway Genes Are Predictive of Limited-Disease Small Cell Lung Cancer Treatment Outcomes Jiang, Wei Zhang, Wenjue Wu, Lihong Liu, Lipin Men, Yu Wang, Jingbo Liang, Jun Hui, Zhouguang Zhou, Zongmei Bi, Nan Wang, Luhua Biomed Res Int Research Article The phosphoinositide-3 kinase (PI3K)/Akt/mammalian target of rapamycin (mTOR) signaling pathway plays an important role in cancer progression and treatment, including that of small cell lung cancer (SCLC), a disease with traditionally poor prognosis. Given the regulatory role of microRNA (miRNA) in gene expression, we examined the association of single nucleotide polymorphisms (SNPs) at miRNA-binding sites of genes in the mTOR pathway with the prognosis of patients with limited-disease SCLC. A retrospective study was conducted of 146 patients with limited-disease SCLC treated with chemoradiotherapy. Nine SNPs of six mTOR pathway genes were genotyped using blood samples. Cox proportional hazard regression modeling and recursive partitioning analysis were performed to identify SNPs significantly associated with overall survival. Three SNPs, MTOR: rs2536 (T>C), PIK3R1: rs3756668 (A>G), and PIK3R1: rs12755 (A>C), were associated with longer overall survival. Recursive partitioning analysis based on unfavorable genotype combinations of the rs2536 and rs3756668 SNPs classified patients into three risk subgroups and was internally validated with 1000 bootstrap samples. These findings suggest that miRNA-related polymorphisms in the PI3K/Akt/mTOR pathway may be valuable biomarkers to complement clinicopathological variables in predicting prognosis of limited-disease SCLC and to facilitate selection of patients likely to benefit from chemoradiotherapy. Hindawi Publishing Corporation 2017 2017-02-09 /pmc/articles/PMC5322445/ /pubmed/28280736 http://dx.doi.org/10.1155/2017/6501385 Text en Copyright © 2017 Wei Jiang et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jiang, Wei
Zhang, Wenjue
Wu, Lihong
Liu, Lipin
Men, Yu
Wang, Jingbo
Liang, Jun
Hui, Zhouguang
Zhou, Zongmei
Bi, Nan
Wang, Luhua
MicroRNA-Related Polymorphisms in PI3K/Akt/mTOR Pathway Genes Are Predictive of Limited-Disease Small Cell Lung Cancer Treatment Outcomes
title MicroRNA-Related Polymorphisms in PI3K/Akt/mTOR Pathway Genes Are Predictive of Limited-Disease Small Cell Lung Cancer Treatment Outcomes
title_full MicroRNA-Related Polymorphisms in PI3K/Akt/mTOR Pathway Genes Are Predictive of Limited-Disease Small Cell Lung Cancer Treatment Outcomes
title_fullStr MicroRNA-Related Polymorphisms in PI3K/Akt/mTOR Pathway Genes Are Predictive of Limited-Disease Small Cell Lung Cancer Treatment Outcomes
title_full_unstemmed MicroRNA-Related Polymorphisms in PI3K/Akt/mTOR Pathway Genes Are Predictive of Limited-Disease Small Cell Lung Cancer Treatment Outcomes
title_short MicroRNA-Related Polymorphisms in PI3K/Akt/mTOR Pathway Genes Are Predictive of Limited-Disease Small Cell Lung Cancer Treatment Outcomes
title_sort microrna-related polymorphisms in pi3k/akt/mtor pathway genes are predictive of limited-disease small cell lung cancer treatment outcomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5322445/
https://www.ncbi.nlm.nih.gov/pubmed/28280736
http://dx.doi.org/10.1155/2017/6501385
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