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DC Field | Value | Language |
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dc.contributor.author | Pattaralawan Sittiju | en_US |
dc.contributor.author | Parunya Chaiyawat | en_US |
dc.contributor.author | Dumnoensun Pruksakorn | en_US |
dc.contributor.author | Jeerawan Klangjorhor | en_US |
dc.contributor.author | Weerinrada Wongrin | en_US |
dc.contributor.author | Phichayut Phinyo | en_US |
dc.contributor.author | Rawikant Kamolphiwong | en_US |
dc.contributor.author | Areerak Phanphaisarn | en_US |
dc.contributor.author | Pimpisa Teeyakasem | en_US |
dc.contributor.author | Prachya Kongtawelert | en_US |
dc.contributor.author | Peraphan Pothacharoen | en_US |
dc.date.accessioned | 2022-05-27T08:24:16Z | - |
dc.date.available | 2022-05-27T08:24:16Z | - |
dc.date.issued | 2022-05-01 | en_US |
dc.identifier.issn | 20797737 | en_US |
dc.identifier.other | 2-s2.0-85129928895 | en_US |
dc.identifier.other | 10.3390/biology11050698 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85129928895&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/72240 | - |
dc.description.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. | en_US |
dc.subject | Agricultural and Biological Sciences | en_US |
dc.subject | Biochemistry, Genetics and Molecular Biology | en_US |
dc.subject | Immunology and Microbiology | en_US |
dc.title | Osteosarcoma-Specific Genes as a Diagnostic Tool and Clinical Predictor of Tumor Progression | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | Biology | en_US |
article.volume | 11 | en_US |
article.stream.affiliations | Faculty of Medicine, Chiang Mai University | en_US |
article.stream.affiliations | Faculty of Medicine, Prince of Songkia University | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
Appears in Collections: | CMUL: Journal Articles |
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