Top–Down Proteomics of Human Saliva, Analyzed with Logistic Regression and Machine Learning Methods, Reveal Molecular Signatures of Ovarian Cancer

Top–Down Proteomics of Human Saliva, Analyzed with Logistic Regression and Machine Learning Methods, Reveal Molecular Signatures of Ovarian Cancer

Ovarian cancer (OC) is the most lethal of all gynecological cancers. Due to vague symptoms, OC is mostly detected at advanced stages, with a 5-year survival rate (SR) of only 30%; diagnosis at stage I increases the 5-year SR to 90%, suggesting that early diagnosis is essential to cure OC. Currently,...

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Bibliographic Details
Main Authors: Francesca Scebba, Stefano Salvadori, Silvia Cateni, Paola Mantellini, Francesca Carozzi, Simonetta Bisanzi, Cristina Sani, Marzia Robotti, Ivana Barravecchia, Francesca Martella, Valentina Colla, Debora Angeloni
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:International Journal of Molecular Sciences
Subjects:
biomarkers
breast cancer
logistic regression
machine learning
mass spectrometry
ovarian cancer
Online Access:https://www.mdpi.com/1422-0067/24/21/15716

Internet

https://www.mdpi.com/1422-0067/24/21/15716

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