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)
There is variation in the survival and therapeutic outcome of patients with glioblastomas (GBMs). Therapy resistance is an important challenge in the treatment of
GBM
patients. The aim of this study was to identify Temozolomide (TMZ) related genes and confirm their clinical relevance. The TMZ-related genes were discovered by analysis of the gene-expression profiling in our cell-based microarray. Their clinical relevance was verified by
in silico
meta-analysis of the Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) datasets. Our results demonstrated that
BICD1
expression could predict both prognosis and response to therapy in
GBM
patients. First, high
BICD1
expression was correlated with poor prognosis in the TCGA
GBM
cohort (n=523) and in the CGGA glioma cohort (n=220). Second, high
BICD1
expression predicted poor outcome in patients with TMZ treatment (n=301) and radiation therapy (n=405). Third, multivariable Cox regression analysis confirmed
BICD1
expression as an independent factor affecting the prognosis and therapeutic response of TMZ and radiation in
GBM
patients. Additionally, age,
MGMT
and
BICD1
expression were combinedly utilized to stratify
GBM
patients into more distinct risk groups, which may provide better outcome assessment. Finally, we observed a strong correlation between
BICD1
expression and epithelial-mesenchymal transition (EMT) in GBMs, and proposed a possible mechanism of
BICD1
-associated survival or therapeutic resistance in GBMs accordingly. In conclusion, our study suggests that high
BICD1
expression may result in worse prognosis and could be a predictor of poor response to TMZ and radiation therapies in
GBM
patients.
...
PMID:
BICD1
expression, as a potential biomarker for prognosis and predicting response to therapy in patients with glioblastomas. 2937 45