Comprehensive landscape of STEAP family functions and prognostic prediction value in glioblastoma

Comprehensive landscape of STEAP family functions and prognostic prediction value in glioblastoma
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DOI:
10.1002/jcp.30060
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发表时间:
2020-09-23
影响因子:
5.6
通讯作者:
Chen, Gao
Chen, Gao
中科院分区:
生物学2区
文献类型:
--
作者:
Chen, Huaijun;Xu, Chaoran;Chen, Gao

文献摘要

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胶质母细胞瘤(GBM)是最常见、恶性和致命的原发性胶质瘤。前列腺六跨膜上皮抗原(STEAP)家族参与肿瘤的发生,本文探讨STEAP家族在GBM中的生物学功能及预后价值。利用TCGA数据库筛选肿瘤和正常组织中差异表达的STEAP基因。单因素和多因素考克斯回归分析确定了乳腺癌相关基因STEAP 2和STEAP 3,它们参与免疫应答和细胞周期的调控。最后,结合年龄、性别、化疗、放疗、IDH1状态以及STEAP2和STEAP3风险评分模型构建了预后诺模图,并通过一致性指数和校正图在TCGA和中国胶质瘤基因组图谱(CGGA)队列中进行了验证,结果表明该模型具有良好的预后预测价值。总之,我们的研究结果提供了STEAP家族的综合分析和GBM预后预测的模型。
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.