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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Detalles Bibliográficos
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
Descripción
Sumario: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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