通过综合生物信息学分析鉴定子宫内膜间质肉瘤亚型的枢纽基因。
Identification of hub genes distinguishing subtypes in endometrial stromal sarcoma through comprehensive bioinformatics analysis.
机构信息
Department of Pathology, The First Affiliated Hospital, Shihezi University School of Medicine, Xinjiang, 832002, China.
Department of Pathology, Taihe Hospital, Hubei University of Medicine, Hubei, 442000, China.
出版信息
Sci Rep. 2024 Jan 2;14(1):37. doi: 10.1038/s41598-023-47668-7.
Diagnosing low-grade and high-grade endometrial stromal sarcoma (LG-ESS and HG-ESS) is a challenge. This study aimed to identify biomarkers. 22 ESS cases were analyzed using Illumina microarrays. Differentially expressed genes (DEGs) were identified via Limma. DEGs were analyzed with String and Cytoscape. Core genes were enriched with GO and KEGG, their pan-cancer implications and immune aspects were studied. 413 DEGs were found by exome sequencing, 2174 by GSE85383 microarray. 36 common genes were identified by Venn analysis, and 10 core genes including RBFOX1, PCDH7, FAT1 were selected. Core gene GO enrichment included cell adhesion, T cell proliferation, and KEGG focused on related pathways. Expression was evaluated across 34 cancers, identifying immune DEGs IGF1 and AVPR1A. Identifying the DEGs not only helps improve our understanding of LG-ESS, HG-ESS but also promises to be potential biomarkers for differential diagnosis between LG-ESS and HG-ESS and new therapeutic targets.
诊断低级别和高级子宫内膜间质肉瘤（LG-ESS 和 HG-ESS）具有挑战性。本研究旨在寻找生物标志物。使用 Illumina 微阵列分析了 22 例 ESS 病例。通过 Limma 鉴定差异表达基因（DEGs）。使用 String 和 Cytoscape 分析 DEGs。通过 GO 和 KEGG 对核心基因进行富集，研究其泛癌意义和免疫方面。通过外显子测序发现了 413 个 DEGs，通过 GSE85383 微阵列发现了 2174 个 DEGs。通过 Venn 分析鉴定了 36 个共有基因，选择了 10 个核心基因，包括 RBFOX1、PCDH7 和 FAT1。核心基因 GO 富集包括细胞黏附、T 细胞增殖，KEGG 集中于相关通路。在 34 种癌症中评估了表达情况，鉴定出免疫 DEGs IGF1 和 AVPR1A。鉴定 DEGs 不仅有助于提高我们对 LG-ESS 和 HG-ESS 的认识，还可能成为 LG-ESS 和 HG-ESS 之间鉴别诊断的潜在生物标志物和新的治疗靶点。
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