Comprehensive Analysis of Myoferlin in Human Pancreatic Cancer via Bioinformatics

• Published in: BioMed research international 2021, Vol.2021, p.2602322-17
• Main Authors: Pi, Rou, Chen, Yanmei, Du, Yijie, Dong, Suzhen
• Format: Article
• Language: English
• Subjects: Angiogenesis; Bioinformatics; Biomarkers; Biomarkers, Tumor - genetics; Calcium-Binding Proteins - genetics; Cancer; Cell migration; Cell proliferation; Computational Biology; Datasets; Encyclopedias; Gene expression; Gene Expression Profiling - methods; Gene Expression Regulation, Neoplastic - genetics; Genes; Genomes; Humans; Immune response; Immune system; Kinases; Medical diagnosis; Medical prognosis; Membrane Proteins - genetics; Metabolism; Muscle Proteins - genetics; Pancreatic cancer; Pancreatic Neoplasms; Pancreatic Neoplasms - genetics; Prognosis; Proteins; Proteomics; RNA, Messenger - genetics; Tumor cell lines; Tumor cells; Tumors; User training
• ISSN: 2314-6133; 2314-6141
• DOI: 10.1155/2021/2602322

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.