Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/72240
Title: Osteosarcoma-Specific Genes as a Diagnostic Tool and Clinical Predictor of Tumor Progression
Authors: Pattaralawan Sittiju
Parunya Chaiyawat
Dumnoensun Pruksakorn
Jeerawan Klangjorhor
Weerinrada Wongrin
Phichayut Phinyo
Rawikant Kamolphiwong
Areerak Phanphaisarn
Pimpisa Teeyakasem
Prachya Kongtawelert
Peraphan Pothacharoen
Authors: Pattaralawan Sittiju
Parunya Chaiyawat
Dumnoensun Pruksakorn
Jeerawan Klangjorhor
Weerinrada Wongrin
Phichayut Phinyo
Rawikant Kamolphiwong
Areerak Phanphaisarn
Pimpisa Teeyakasem
Prachya Kongtawelert
Peraphan Pothacharoen
Keywords: Agricultural and Biological Sciences;Biochemistry, Genetics and Molecular Biology;Immunology and Microbiology
Issue Date: 1-May-2022
Abstract: A liquid biopsy is currently an interesting tool for measuring tumor material with the advantage of being non-invasive. The overexpression of vimentin and ezrin genes was associated with epithelial-mesenchymal transition (EMT), a key process in metastasis and progression in osteosarcoma (OS). In this study, we identified other OS-specific genes by calculating differential gene expression using the Gene Expression Omnibus (GEO) database, confirmed by using quantitative reverse transcription-PCR (qRT-PCR) to detect OS-specific genes, including VIM and ezrin in the buffy coat, which were obtained from the whole blood of OS patients and healthy donors. Furthermore, the diagnostic model for OS detection was generated by utilizing binary logistic regression with a multivariable fractional polynomial (MFP) algorithm. The model incorporating VIM, ezrin, and COL5A2 genes exhibited outstanding discriminative ability, as determined by the receiver operating characteristic curve (AUC = 0.9805, 95% CI 0.9603, 1.000). At the probability cut-off value of 0.3366, the sensitivity and the specificity of the model for detecting OS were 98.63% (95% CI 90.5, 99.7) and 94.94% (95% CI 87.5, 98.6), respectively. Bioinformatic analysis and qRT-PCR, in our study, identified three candidate genes that are potential diagnostic and prognostic genes for OS.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85129928895&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/72240
ISSN: 20797737
Appears in Collections:CMUL: Journal Articles

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