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Comprehensive landscape of STEAP family functions and prognostic prediction value in glioblastoma
Author(s) -
Chen Huaijun,
Xu Chaoran,
Yu Qian,
Zhong Chen,
Peng Yucong,
Chen Jingyin,
Chen Gao
Publication year - 2021
Publication title -
journal of cellular physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 174
eISSN - 1097-4652
pISSN - 0021-9541
DOI - 10.1002/jcp.30060
Subject(s) - nomogram , oncology , univariate , glioma , proportional hazards model , medicine , biology , concordance , carcinogenesis , prostate cancer , multivariate statistics , cancer , cancer research , statistics , mathematics
Glioblastoma (GBM) is the most common, malignant, and deadly primary glioma. Six‐transmembrane epithelial antigen of prostate (STEAP) family is involved in tumorigenesis; here, we have explored the biological function and the prognostic value of the STEAP family in GBM. Differentially expressed STEAP genes in tumor and normal samples were screened by using The Cancer Genome Atlas (TCGA) database. Univariate and multivariate Cox regression identified the prognosis‐related genes: STEAP2 and STEAP3, which were involved in the regulation of immune response and cell cycle. Finally, a prognostic nomogram combining age, gender, chemotherapy, radiotherapy, IDH1 status, and the risk score model based on STEAP2 and STEAP3 was built and further validated in TCGA and Chinese Glioma Genome Atlas (CGGA) cohorts via concordance index and calibration plot, which suggested a favorable value for prognosis prediction. In conclusion, our results provided a comprehensive analysis of the STEAP family and a model for the prognosis prediction of GBM.