Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model

BACKGROUND: This study is to explore the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme (GBM) patients. RESULTS: Our results not only showed that mutually explored GBM survival time related genes and signaling transduction pathways are closely r...

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Autores principales: Xia, Yuan, Yang, Chuanwei, Hu, Nan, Yang, Zhenzhou, He, Xiaoyu, Li, Tingting, Zhang, Le
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310279/
https://www.ncbi.nlm.nih.gov/pubmed/28198665
http://dx.doi.org/10.1186/s12864-016-3256-3
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author Xia, Yuan
Yang, Chuanwei
Hu, Nan
Yang, Zhenzhou
He, Xiaoyu
Li, Tingting
Zhang, Le
author_facet Xia, Yuan
Yang, Chuanwei
Hu, Nan
Yang, Zhenzhou
He, Xiaoyu
Li, Tingting
Zhang, Le
author_sort Xia, Yuan
collection PubMed
description BACKGROUND: This study is to explore the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme (GBM) patients. RESULTS: Our results not only showed that mutually explored GBM survival time related genes and signaling transduction pathways are closely related to the GBM, but also demonstrated that our innovated constrained optimization algorithm (CoxSisLasso strategy) are better than the classical methods (CoxLasso and CoxSis strategy). CONCLUSION: We analyzed why the CoxSisLasso strategy can outperform the existing classical methods and discuss how to extend this research in the distant future.
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spelling pubmed-53102792017-02-22 Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model Xia, Yuan Yang, Chuanwei Hu, Nan Yang, Zhenzhou He, Xiaoyu Li, Tingting Zhang, Le BMC Genomics Research BACKGROUND: This study is to explore the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme (GBM) patients. RESULTS: Our results not only showed that mutually explored GBM survival time related genes and signaling transduction pathways are closely related to the GBM, but also demonstrated that our innovated constrained optimization algorithm (CoxSisLasso strategy) are better than the classical methods (CoxLasso and CoxSis strategy). CONCLUSION: We analyzed why the CoxSisLasso strategy can outperform the existing classical methods and discuss how to extend this research in the distant future. BioMed Central 2017-01-25 /pmc/articles/PMC5310279/ /pubmed/28198665 http://dx.doi.org/10.1186/s12864-016-3256-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Xia, Yuan
Yang, Chuanwei
Hu, Nan
Yang, Zhenzhou
He, Xiaoyu
Li, Tingting
Zhang, Le
Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model
title Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model
title_full Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model
title_fullStr Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model
title_full_unstemmed Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model
title_short Exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model
title_sort exploring the key genes and signaling transduction pathways related to the survival time of glioblastoma multiforme patients by a novel survival analysis model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5310279/
https://www.ncbi.nlm.nih.gov/pubmed/28198665
http://dx.doi.org/10.1186/s12864-016-3256-3
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