Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0017638 (glioma)
 30,880 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Glioblastoma multiforme is the most frequent and most malignant primary brain tumor with poor prognosis despite surgical removal and radio-chemotherapy. In this setting, immunotherapeutical strategies have great potential, but the reported repertoire of tumor associated antigens is only for HLA-A 02 positive tumors. We describe the first analysis of HLA-peptide presentation patterns in HLA-A 02 negative glioma tissue combined with gene expression profiling of the tumor samples by oligonucleotide microarrays. We identified numerous candidate peptides for immunotherapy. These are peptides derived from proteins with a well-described role in glioma tumor biology and suitable gene expression profiles such as PTPRZ1, EGFR, SEC61G and TNC. Information obtained from complementary analyses of HLA-A 02 negative tumors not only contributes to the discovery of novel shared glioma antigens, but most importantly provides the opportunity to tailor a patient-individual cocktail of tumor-associated peptides for a personalized, targeted immunotherapeutic approach in HLA-A 02 negative patients.
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PMID:Natural HLA class I ligands from glioblastoma: extending the options for immunotherapy. 2326 46

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.
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PMID:Identification of SEC61G as a Novel Prognostic Marker for Predicting Survival and Response to Therapies in Patients with Glioblastoma. 3109 63