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GPR37 expression as a prognostic marker in gliomas: a bioinformatics-based analysis

Kairong Liang, Zhaoxiong Guo, Shizhen Zhang, Danmin Chen, Renheng Zou, Yuhao Weng, Chengxiang Peng, Zhichao Xu, Jingbai Zhang, Xiaorui Liu, Xiao Pan Pang, Yunxiang Ji, Degui Liao, Miaoling Lai, Huaidong Peng, Yanbin Ke, Zhaotao Wang, Yezhong Wang

2023Aging16 citationsDOIOpen Access PDF

Abstract

BACKGROUND: gene expression and the clinicopathological factors, patient prognosis, tumor-infiltrating immune cell signature GSEA and methylation levels in glioma. METHODS: We explored the diagnostic value, clinical relevance, and molecular function of GPR37 in glioma using TCGA, STRING, cBioPortal, Tumor Immunity Estimation Resource (TIMER) database and MethSurv databases. Besides, the "ssGSEA" algorithm was conducted to estimate immune cells infiltration abundance, with 'ggplot2' package visualizing the results. Immunohistochemical staining of clinical samples were used to verify the speculations of bioinformatics analysis. RESULTS: promoter was associated with its high expression levels and poor prognosis in glioma. CONCLUSION: provide novel insights into the clinical diagnosis and treatment of glioma.

Topics & Concepts

ZhàngBiologyComputational biologyOncologyMedicineHistoryChinaArchaeologyGlioma Diagnosis and TreatmentFerroptosis and cancer prognosisRadiomics and Machine Learning in Medical Imaging