Identification of Gender- and Subtype-Specific Gene Expression Associated with Patient Survival in Low-Grade and Anaplastic Glioma in Connection with Steroid Signaling.
Alex HirtzNolwenn LebourdaisMagalie ThomassinFabien RechHélène DumondHélène Dubois-Pot-SchneiderPublished in: Cancers (2022)
Low-grade gliomas are rare primary brain tumors, which fatally evolve to anaplastic gliomas. The current treatment combines surgery, chemotherapy, and radiotherapy. If gender differences in the natural history of the disease were widely described, their underlying mechanisms remain to be determined for the identification of reliable markers of disease progression. We mined the transcriptomic and clinical data from the TCGA-LGG and CGGA databases to identify male-over-female differentially expressed genes and selected those associated with patient survival using univariate analysis, depending on molecular characteristics (IDH wild-type/mutated; 1p/19q codeleted/not) and grade. Then, the link between the expression levels (low or high) of the steroid biosynthesis enzyme or receptors of interest and survival was studied using the log-rank test. Finally, a functional analysis of gender-specific correlated genes was performed. HOX -related genes appeared to be differentially expressed between males and females in both grades, suggesting that a glioma could originate in perturbation of developmental signals. Moreover, aromatase, androgen, and estrogen receptor expressions were associated with patient survival and were mainly related to angiogenesis or immune response. Therefore, consideration of the tight control of steroid hormone production and signaling seems crucial for the understanding of glioma pathogenesis and emergence of future targeted therapies.
Keyphrases
- low grade
- high grade
- wild type
- gene expression
- estrogen receptor
- case report
- immune response
- bioinformatics analysis
- free survival
- mental health
- genome wide
- poor prognosis
- minimally invasive
- dna methylation
- blood brain barrier
- dendritic cells
- locally advanced
- early stage
- radiation therapy
- big data
- radiation induced
- genome wide identification
- toll like receptor
- single cell
- percutaneous coronary intervention
- current status
- coronary artery bypass
- data analysis
- rna seq
- smoking cessation
- drug induced
- deep learning
- solid state
- wound healing