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Comprehensive Analysis of Myoferlin in Human Pancreatic Cancer via Bioinformatics

Pancreatic cancer is the fourth leading cause of cancer-related death and urgently needs biomarkers for clinical diagnosis and prognosis. It has been reported that myoferlin (MYOF) is implicated in the regulation of proliferation, invasion, and migration of tumor cells in many cancers including panc...

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Autores principales: Pi, Rou, Chen, Yanmei, Du, Yijie, Dong, Suzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702316/
https://www.ncbi.nlm.nih.gov/pubmed/34957301
http://dx.doi.org/10.1155/2021/2602322
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author Pi, Rou
Chen, Yanmei
Du, Yijie
Dong, Suzhen
author_facet Pi, Rou
Chen, Yanmei
Du, Yijie
Dong, Suzhen
author_sort Pi, Rou
collection PubMed
description Pancreatic cancer is the fourth leading cause of cancer-related death and urgently needs biomarkers for clinical diagnosis and prognosis. It has been reported that myoferlin (MYOF) is implicated in the regulation of proliferation, invasion, and migration of tumor cells in many cancers including pancreatic cancer. To confirm the prognostic value of MYOF in pancreatic cancer, a comprehensive cancer versus healthy people analysis was conducted using public data. MYOF mRNA expression levels were compared in many kinds of cancers including pancreatic cancer via the Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) databases. The results have shown that MYOF mRNA expression levels were upregulated in most types of cancers, especially in pancreatic cancer, compared with healthy people's tissues. Data from the Cancer Cell Line Encyclopedia (CCLE) and European Bioinformatics Institute (EMBL-EML) database also revealed that MYOF mRNA is highly expressed in most cancer cells, particularly in pancreatic cancer cell lines. Furthermore, the prognostic value of MYOF was evaluated using GEPIA and Long-term Outcome and Gene Expression Profiling Database of pan-cancers (LOGpc) database. Higher expression of MYOF was associated with poorer overall survival, especially in the lower stage and lower grade. Coexpressed genes, possible regulators, and the correlation between MYOF expressions were analyzed via the GEPIA and LinkedOmics database. Nineteen coexpressed genes were identified, and most of these genes were related to cancer. The Tumor Immune Estimation Resource (TIMER) database was used to analyze the correlation between MYOF and immune response. Notably, we found that MYOF might have a potential novel immune regulatory role in tumor immunity. These results support that MYOF is a candidate prognostic biomarker for pancreatic cancer, which calls for further genomics research of pancreatic cancer and deeply functional studies on MYOF.
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spelling pubmed-87023162021-12-24 Comprehensive Analysis of Myoferlin in Human Pancreatic Cancer via Bioinformatics Pi, Rou Chen, Yanmei Du, Yijie Dong, Suzhen Biomed Res Int Research Article Pancreatic cancer is the fourth leading cause of cancer-related death and urgently needs biomarkers for clinical diagnosis and prognosis. It has been reported that myoferlin (MYOF) is implicated in the regulation of proliferation, invasion, and migration of tumor cells in many cancers including pancreatic cancer. To confirm the prognostic value of MYOF in pancreatic cancer, a comprehensive cancer versus healthy people analysis was conducted using public data. MYOF mRNA expression levels were compared in many kinds of cancers including pancreatic cancer via the Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) databases. The results have shown that MYOF mRNA expression levels were upregulated in most types of cancers, especially in pancreatic cancer, compared with healthy people's tissues. Data from the Cancer Cell Line Encyclopedia (CCLE) and European Bioinformatics Institute (EMBL-EML) database also revealed that MYOF mRNA is highly expressed in most cancer cells, particularly in pancreatic cancer cell lines. Furthermore, the prognostic value of MYOF was evaluated using GEPIA and Long-term Outcome and Gene Expression Profiling Database of pan-cancers (LOGpc) database. Higher expression of MYOF was associated with poorer overall survival, especially in the lower stage and lower grade. Coexpressed genes, possible regulators, and the correlation between MYOF expressions were analyzed via the GEPIA and LinkedOmics database. Nineteen coexpressed genes were identified, and most of these genes were related to cancer. The Tumor Immune Estimation Resource (TIMER) database was used to analyze the correlation between MYOF and immune response. Notably, we found that MYOF might have a potential novel immune regulatory role in tumor immunity. These results support that MYOF is a candidate prognostic biomarker for pancreatic cancer, which calls for further genomics research of pancreatic cancer and deeply functional studies on MYOF. Hindawi 2021-12-16 /pmc/articles/PMC8702316/ /pubmed/34957301 http://dx.doi.org/10.1155/2021/2602322 Text en Copyright © 2021 Rou Pi et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Pi, Rou
Chen, Yanmei
Du, Yijie
Dong, Suzhen
Comprehensive Analysis of Myoferlin in Human Pancreatic Cancer via Bioinformatics
title Comprehensive Analysis of Myoferlin in Human Pancreatic Cancer via Bioinformatics
title_full Comprehensive Analysis of Myoferlin in Human Pancreatic Cancer via Bioinformatics
title_fullStr Comprehensive Analysis of Myoferlin in Human Pancreatic Cancer via Bioinformatics
title_full_unstemmed Comprehensive Analysis of Myoferlin in Human Pancreatic Cancer via Bioinformatics
title_short Comprehensive Analysis of Myoferlin in Human Pancreatic Cancer via Bioinformatics
title_sort comprehensive analysis of myoferlin in human pancreatic cancer via bioinformatics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702316/
https://www.ncbi.nlm.nih.gov/pubmed/34957301
http://dx.doi.org/10.1155/2021/2602322
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