Preprint Brief Report Version 1 Preserved in Portico This version is not peer-reviewed

Modulating Cancer Progression from Leukoplakia via Bayesian Gene Networks

Version 1 : Received: 17 November 2021 / Approved: 22 November 2021 / Online: 22 November 2021 (13:05:31 CET)

How to cite: DDS, A.V.; Zollanvari, A. Modulating Cancer Progression from Leukoplakia via Bayesian Gene Networks. Preprints 2021, 2021110392 (doi: 10.20944/preprints202111.0392.v1). DDS, A.V.; Zollanvari, A. Modulating Cancer Progression from Leukoplakia via Bayesian Gene Networks. Preprints 2021, 2021110392 (doi: 10.20944/preprints202111.0392.v1).

Abstract

Oral squamous cell carcinoma often arises from an oral potentially malignant disorder called oral leukoplakia (OL). With this work we aimed to develop a novel data-driven predictive model based on gene expression profiles to distinguish OL patients who underwent malignant transformation from those who did not. We used the Tree Augmented Naïve (TAN) Bayes classifier to predict the posterior probability of having oral cancer given the data. 86 patients were included with a median follow-up of 7.11 years. Fifty-one patients (51/86; 59%) underwent malignant transformation. We found that 16 genes were predictors of oral cancer in patients with OL and these included SLC7A11, SPINK6, SERPINA12, VIT, ATP1B3, CST6, FLRT2, ELMOD1, AZGP1, RNASE13, DIO2, ECM1, CYP4F11, SYTL4, AKR1C1, and AKR1C3. In conclusion, we showed that Bayesian gene networks are a data-driven approach which could be used also in other predictor models in oncology.

Keywords

oral leukoplakia; Bayesian Networks; malignant transformation

Subject

MEDICINE & PHARMACOLOGY, Dentistry

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.