Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis.

Three-gene prognostic biomarkers for seminoma identified by weighted gene co-expression network analysis.
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通过加权基因共表达网络分析鉴定的三个基因预后生物标志物。

DOI:
10.1371/journal.pone.0240943
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发表时间:
2020
期刊:
影响因子:
3.7
通讯作者:
Jin X
Jin X
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Chen H;Chen G;Pan Y;Jin X

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睾丸生殖细胞肿瘤(TGCT)常见于年轻男性,睾丸间质细胞瘤占TGCT的很大比例。然而,有有限的记录,探索新的生物标志物的肿瘤。因此,我们的目的是确定新的生物标志物与总生存期在乳腺癌。从UCSC XENA下载TGCT的mRNA-seq和临床特征,并通过加权基因共表达网络分析进行分析。与GSE 8607中差异表达基因交叉后,对共同基因进行蛋白质-蛋白质相互作用(PPI)网络构建和富集分析。然后,通过Kaplan-Meier(KM)生存分析和单因素考克斯回归分析来研究前10个共同基因。最终,TYROBP、CD 68和ITGAM被认为是乳腺癌的三种预后生物标志物。基于这些基因与免疫浸润的相关性分析,我们认为这三个生物标志物可能通过调节免疫细胞的浸润来影响肿瘤患者的生存。总之,我们的研究表明,TYROBP,CD 68和ITGAM可以被视为乳腺癌患者的预后生物标志物和治疗靶点。
Testicular germ cell tumors (TGCTs) are common in young males, and seminoma accounts for a large proportion of TGCTs. However, there are limited records on the exploration of novel biomarkers for seminoma. Hence, we aimed to identify new biomarkers associated with overall survival in seminoma. mRNA-seq and clinical traits of TGCTs were downloaded from UCSC XENA and analyzed by weighted gene co-expression network analysis. After intersection with differentially expressed genes in GSE8607, common genes were subjected to protein-protein interaction (PPI) network construction and enrichment analyses. Then, the top 10 common genes were investigated by Kaplan–Meier (KM) survival analyses and univariate Cox regression analyses. Ultimately, TYROBP, CD68, and ITGAM were considered three prognostic biomarkers in seminoma. Based on correlation analysis between these genes and immune infiltrates, we suggest that the three biomarkers influence the survival of seminoma patients, possibly through regulating the infiltration of immune cells. In conclusion, our study demonstrated that TYROBP, CD68, and ITGAM could be regarded as prognostic biomarkers and therapeutic targets for seminoma patients.
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