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MYL2 as a potential predictive biomarker for rhabdomyosarcoma
Rhabdomyosarcoma (RMS) is a common malignant soft tissue sarcoma, which is the third most common soft tissue sarcoma after malignant fibrohistoma and liposarcoma. The discovery of potential postbiomarkers could lead to early and more effective treatment measures to reduce the mortality of RMS. The d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8483830/ https://www.ncbi.nlm.nih.gov/pubmed/34596111 http://dx.doi.org/10.1097/MD.0000000000027101 |
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author | Wang, Junning Gao, Shang Dong, Keqin Guo, Peiyuan Shan, Meng-jie |
author_facet | Wang, Junning Gao, Shang Dong, Keqin Guo, Peiyuan Shan, Meng-jie |
author_sort | Wang, Junning |
collection | PubMed |
description | Rhabdomyosarcoma (RMS) is a common malignant soft tissue sarcoma, which is the third most common soft tissue sarcoma after malignant fibrohistoma and liposarcoma. The discovery of potential postbiomarkers could lead to early and more effective treatment measures to reduce the mortality of RMS. The discovery of biomarker is expected to be the direction of targeted therapy, providing a new direction for the precise treatment of RMS. Gene Expression Omnibus database was used to download the tow gene profiles, GSE28511 and GSE135517. GEO2R was applied to identify differently expressed genes (DEGs) between RMS and normal group. Database for Annotation, Visualization and Integrated Discovery and Metascape can perform the enrichment analysis for the DEGs. Protein-protein interaction network was constructed, and the hub genes was identified by the Cytoscape. Expression and overall survival analysis of hub genes were performed. A total of 15 common DEGs were screened between RMS and normal tissues. The enrichment analysis here showed that the DEGs mainly enriched in the muscle filament sliding, myofibril, protein complex, sarcomere, myosin complex, nuclear chromosome, and tight junction. The 6 hub genes (DNA Topoisomerase II Alpha, Insulin Like Growth Factor 2, HIST1H4C, Cardiomyopathy Associated 5, Myosin Light Chain 2 [MYL2], Myosin Heavy Chain 2) were identified. Compared with the normal tissues, MYL2 were down-regulated in the RMS tissues. RMS patients with low expression level of MYL2 had poorer overall survival times than those with high expression levels (P < .05). In summary, lower expression of MYL2 was 1 prediction for poor prognosis of RMS. MYL2 is hope to be the target of therapy, which leads to more effective treatment and reduces the mortality rate of RMS. |
format | Online Article Text |
id | pubmed-8483830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-84838302021-10-04 MYL2 as a potential predictive biomarker for rhabdomyosarcoma Wang, Junning Gao, Shang Dong, Keqin Guo, Peiyuan Shan, Meng-jie Medicine (Baltimore) 5700 Rhabdomyosarcoma (RMS) is a common malignant soft tissue sarcoma, which is the third most common soft tissue sarcoma after malignant fibrohistoma and liposarcoma. The discovery of potential postbiomarkers could lead to early and more effective treatment measures to reduce the mortality of RMS. The discovery of biomarker is expected to be the direction of targeted therapy, providing a new direction for the precise treatment of RMS. Gene Expression Omnibus database was used to download the tow gene profiles, GSE28511 and GSE135517. GEO2R was applied to identify differently expressed genes (DEGs) between RMS and normal group. Database for Annotation, Visualization and Integrated Discovery and Metascape can perform the enrichment analysis for the DEGs. Protein-protein interaction network was constructed, and the hub genes was identified by the Cytoscape. Expression and overall survival analysis of hub genes were performed. A total of 15 common DEGs were screened between RMS and normal tissues. The enrichment analysis here showed that the DEGs mainly enriched in the muscle filament sliding, myofibril, protein complex, sarcomere, myosin complex, nuclear chromosome, and tight junction. The 6 hub genes (DNA Topoisomerase II Alpha, Insulin Like Growth Factor 2, HIST1H4C, Cardiomyopathy Associated 5, Myosin Light Chain 2 [MYL2], Myosin Heavy Chain 2) were identified. Compared with the normal tissues, MYL2 were down-regulated in the RMS tissues. RMS patients with low expression level of MYL2 had poorer overall survival times than those with high expression levels (P < .05). In summary, lower expression of MYL2 was 1 prediction for poor prognosis of RMS. MYL2 is hope to be the target of therapy, which leads to more effective treatment and reduces the mortality rate of RMS. Lippincott Williams & Wilkins 2021-10-01 /pmc/articles/PMC8483830/ /pubmed/34596111 http://dx.doi.org/10.1097/MD.0000000000027101 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) |
spellingShingle | 5700 Wang, Junning Gao, Shang Dong, Keqin Guo, Peiyuan Shan, Meng-jie MYL2 as a potential predictive biomarker for rhabdomyosarcoma |
title | MYL2 as a potential predictive biomarker for rhabdomyosarcoma |
title_full | MYL2 as a potential predictive biomarker for rhabdomyosarcoma |
title_fullStr | MYL2 as a potential predictive biomarker for rhabdomyosarcoma |
title_full_unstemmed | MYL2 as a potential predictive biomarker for rhabdomyosarcoma |
title_short | MYL2 as a potential predictive biomarker for rhabdomyosarcoma |
title_sort | myl2 as a potential predictive biomarker for rhabdomyosarcoma |
topic | 5700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8483830/ https://www.ncbi.nlm.nih.gov/pubmed/34596111 http://dx.doi.org/10.1097/MD.0000000000027101 |
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