Mathematical Modelling of Cervical Precancerous Lesion Grade Risk Scores: Linear Regression Analysis of Cellular Protein Biomarkers and Human Papillomavirus <i>E6</i>/<i>E7</i> RNA Staining Patterns

Mathematical Modelling of Cervical Precancerous Lesion Grade Risk Scores: Linear Regression Analysis of Cellular Protein Biomarkers and Human Papillomavirus <i>E6</i>/<i>E7</i> RNA Staining Patterns

The current practice of determining histologic grade with a single molecular biomarker can facilitate differential diagnosis but cannot predict the risk of lesion progression. Cancer is caused by complex mechanisms, and no single biomarker can both make accurate diagnoses and predict progression ris...

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Bibliographic Details
Main Authors: Sureewan Bumrungthai, Tipaya Ekalaksananan, Pilaiwan Kleebkaow, Khajohnsilp Pongsawatkul, Pisit Phatnithikul, Jirad Jaikan, Puntanee Raumsuk, Sureewan Duangjit, Datchani Chuenchai, Chamsai Pientong
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Diagnostics
Subjects:
machine learning
mathematical model
cervical cancer
biomarker
risk score
HPV
Online Access:https://www.mdpi.com/2075-4418/13/6/1084

Internet

https://www.mdpi.com/2075-4418/13/6/1084

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