Bioinformatics Analysis Identified Five Widely Expressed Genes Associated with Prognosis in Sarcoma

Abstract

Background Human sarcomas (SARC) are a group of malignant tumors that originated from mesenchymal lineages with more than 60 subtypes. However, potential biomarkers for the diagnosis and prognosis of SARC remain to be investigated. Methods We obtained three GSE raw matrix files (GSE39262, GSE21122, GSE48418) that related to various subtypes of sarcoma from the public GEO database and explored the widely differential expression genes in three obtained GSE files. Then common differential expression genes (CDGEs) were identified. We analyzed the correlation between the expression of the top five interacted genes of CDEGs and genome-wide differences, prognosis, genetic mutation, functional enrichment, immune infiltration, immune checkpoint, and marker genes’ expression of N6-methyladenosine (m 6 A) modification in SARC patients. Besides, a prognostic nomogram was constructed to predict the survival of SARC patients. Results Among the three GSE files, 42 CDGEs were identified, and the top five interacted genes were ASPM, CCNB2, PRC1, AURKA, and SCM2. The expression levels of the five genes were higher in the SARC group than that in the normal group. The transcriptional level of CCNB2, PRC, and SCM2 was correlated to the worse survival of SARC. The constructed nomogram that combined CNB2, PRC1, and SCM2 showed a fairly good incredibility in predicting the survival of SARC (C-index: 0.711). Furthermore, the five genes were widely involved in immune infiltration, immune checkpoint, and m 6 A modification. In addition, we found a minor survival-related mutation rate (9%) of the five identified genes in SARC patients (p < 0.05). Conclusion The results suggested the five identified genes widely participated in the prognosis, immune infiltration, immune checkpoint, and m 6 A modification of SARC patients. This study provided a theoretical basis for the research about the correlation between the level of five identified genes and sarcoma, but the further mechanism needs to be verified by experiments.

Comprehensive Analysis of Sphingolipid Metabolism-Related Genes in Osteoarthritic Diagnosis and Synovial Immune Dysregulation

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The neurological and non-neurological roles of the primary microcephaly-associated protein ASPM

“…multiple ASPM mutations (Table 2) in tumors. 2 Meanwhile, high levels of ASPM expression correlate with poor prognosis in various types of cancer (Figure 3B), including bladder cancer (Chen et al, 2019(Chen et al, , 2021 2 https://cancer.sanger.ac.uk/cosmic Gao et al, 2020;Liu et al, 2023), prostate cancer (Xie et al, 2017;Pai et al, 2019;Xu et al, 2019), breast cancer (Shubbar et al, 2013;Tang et al, 2019;Wei et al, 2021;Wang et al, 2022), triple-negative breast cancer , esophageal cancer (ESCA; , hepatocellular carcinoma (Lin et al, 2008;Li and Xu, 2020;Yang et al, 2021;Hu et al, 2022;Qiao et al, 2022;Tan et al, 2022;Hasan et al, 2023;Hossen et al, 2023Hossen et al, ), 10.3389/fnins.2023 Frontiers in Neuroscience 13 frontiersin.org glioblastoma (Visnyei et al, 2011;Qin et al, 2023), epithelial ovarian cancer (Brüning-Richardson et al, 2011;Alsiary et al, 2014;, osteosarcoma (Liu et al, 2021), endometrial carcinoma , malignant pleural mesothelioma (Zhang et al, 2020), cervical squamous cell carcinoma (Wen et al, 2020), lung adenocarcinoma (Feng et al, 2021;Hou et al, 2022;Tang et al, 2022;Yin et al, 2022;, anaplastic thyroid carcinoma (Fang et al, 2023), cutaneous squamous cell carcinoma (Su et al, 2022), human sarcomas …”