Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Pivot Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Target Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Query: UMLS:C0017636 (
glioblastoma
)
18,345
document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)
BACKGROUND The survival and therapeutic outcome vary greatly among
glioblastoma
(
GBM
) patients. Treatment resistance, including resistance to temozolomide (TMZ) and radiotherapy, is a great obstacle for these therapies. In this study, we aimed to evaluate the predictive value of
SEC61G
on survival and therapeutic response in
GBM
patients. MATERIAL AND METHODS Survival analyses were performed to assess the correlation between
SEC61G
expression and survival of
GBM
patients from the Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) datasets. Univariate and multivariate Cox proportional hazard regression analysis was introduced to determine prognostic factors with independent impact power. Gene set enrichment analysis (GSEA) and gene set variation analysis (GSVA) were conducted to illustrate possible biological functions of
SEC61G
. RESULTS High expression of
SEC61G
was significantly correlated with poor prognosis in all
GBM
patients. High expression of
SEC61G
was also associated with poor outcome in those who received TMZ treatment or radiotherapy in TCGA
GBM
cohort. Univariate and multivariate Cox proportional hazards regression demonstrated that
SEC61G
was an independent prognostic factor affecting the prognosis and therapeutic outcome. The combination of age,
SEC61G
expression, and MGMT promoter methylation in survival analysis could provide better outcome assessment. Finally, a strong correlation between
SEC61G
expression and Notch pathway was observed in GSEA and GSVA, which suggested a possible mechanism that
SEC61G
affected survival and TMZ resistance. CONCLUSIONS
SEC61G
expression may be a potential prognostic marker of poor survival, and a predictor of poor outcome to TMZ treatment and radiotherapy in
GBM
patients.
...
PMID:Identification of SEC61G as a Novel Prognostic Marker for Predicting Survival and Response to Therapies in Patients with Glioblastoma. 3109 63