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

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...

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Autores principales: Tu, Bizhi, Jia, Yaya, Qian, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8995039/
https://www.ncbi.nlm.nih.gov/pubmed/35414751
http://dx.doi.org/10.2147/IJGM.S352048
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author Tu, Bizhi
Jia, Yaya
Qian, Jun
author_facet Tu, Bizhi
Jia, Yaya
Qian, Jun
author_sort Tu, Bizhi
collection PubMed
description 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.
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spelling pubmed-89950392022-04-11 Bioinformatics Analysis Identified Five Widely Expressed Genes Associated with Prognosis in Sarcoma Tu, Bizhi Jia, Yaya Qian, Jun Int J Gen Med Original Research 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. Dove 2022-04-05 /pmc/articles/PMC8995039/ /pubmed/35414751 http://dx.doi.org/10.2147/IJGM.S352048 Text en © 2022 Tu et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Tu, Bizhi
Jia, Yaya
Qian, Jun
Bioinformatics Analysis Identified Five Widely Expressed Genes Associated with Prognosis in Sarcoma
title Bioinformatics Analysis Identified Five Widely Expressed Genes Associated with Prognosis in Sarcoma
title_full Bioinformatics Analysis Identified Five Widely Expressed Genes Associated with Prognosis in Sarcoma
title_fullStr Bioinformatics Analysis Identified Five Widely Expressed Genes Associated with Prognosis in Sarcoma
title_full_unstemmed Bioinformatics Analysis Identified Five Widely Expressed Genes Associated with Prognosis in Sarcoma
title_short Bioinformatics Analysis Identified Five Widely Expressed Genes Associated with Prognosis in Sarcoma
title_sort bioinformatics analysis identified five widely expressed genes associated with prognosis in sarcoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8995039/
https://www.ncbi.nlm.nih.gov/pubmed/35414751
http://dx.doi.org/10.2147/IJGM.S352048
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