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Genome-wide analysis to identify a novel distant metastasis-related gene signature predicting survival in patients with gastric cancer.
Hu, Bang-Li; Xie, Ming-Zhi; Li, Ke-Zhi; Li, Ji-Lin; Gui, Yu-Chang; Xu, Jian-Wen.
Afiliación
  • Hu BL; Department of Physical Medicine and Rehabilitation, the First Affiliated Hospital of Guangxi Medical University, Shuangyong Road 6, Nanning 530021, Guangxi, PR China.
  • Xie MZ; Department of Research, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi, PR China.
  • Li KZ; Department of Research, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi, PR China.
  • Li JL; Department of Research, Affiliated Tumor Hospital of Guangxi Medical University, Nanning 530021, Guangxi, PR China.
  • Gui YC; Department of Physical Medicine and Rehabilitation, the First Affiliated Hospital of Guangxi Medical University, Shuangyong Road 6, Nanning 530021, Guangxi, PR China.
  • Xu JW; Department of Physical Medicine and Rehabilitation, the First Affiliated Hospital of Guangxi Medical University, Shuangyong Road 6, Nanning 530021, Guangxi, PR China. Electronic address: xujianwen@gxmu.edu.cn.
Biomed Pharmacother ; 117: 109159, 2019 Sep.
Article en En | MEDLINE | ID: mdl-31247467
ABSTRACT
This study designed to identify a potential novel distant metastasis-related gene (DMGs) signature that predicting prognosis in patients with gastric cancer. DMGs was screened by overlapping the differentially expressed genes between M0 and M1 stage, and between tumor and adjacent normal tissue of gastric cancer by analyzing The Cancer Genome Atlas (TCGA) dataset. There were 83 DMGs were identified, the integrative analysis revealed these DMGs were involved in several biological process and pathway. A six-DMGs prognostic signature was developed based on the risk score obtained from Cox analysis. Patients with low risk score presented significantly shorter survival time. This prognostic signature has a moderate predictive value for the overall survival in gastric cancer patients, with an area under curve of 0.604. The DMGs prognostic signature also significantly associated with the overall survival of gastric cancer patients, and showed a better performance for predicting prognosis than traditional clinical indicators. The joint effect of risk score with clinical features could remarkably increased the predictive value as compared with single variable. The results from 60 gastric cancer tissues verified the prognostic value of the six-DMGs prognostic signature. In conclusions, the present study identified a novel six-DMGs prognostic signature that could serve as a biomarker for the prognosis prediction of patients with gastric cancer.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Regulación Neoplásica de la Expresión Génica / Perfilación de la Expresión Génica / Estudio de Asociación del Genoma Completo Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male Idioma: En Revista: Biomed Pharmacother Año: 2019 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Regulación Neoplásica de la Expresión Génica / Perfilación de la Expresión Génica / Estudio de Asociación del Genoma Completo Tipo de estudio: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male Idioma: En Revista: Biomed Pharmacother Año: 2019 Tipo del documento: Article