UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Using saliva epigenetic data to develop and validate a multivariable predictor of esophageal cancer status

Stone, Timothy C; Ward, Vanessa; Hogan, Aine; Ho, Kai Ma; Wilson, Ash; McBain, Hazel; Duku, Margaret; ... SPIT Study Group Collaborators:; + view all (2024) Using saliva epigenetic data to develop and validate a multivariable predictor of esophageal cancer status. Epigenomics 10.2217/epi-2023-0248. (In press). Green open access

[thumbnail of stone-et-al-2024-using-saliva-epigenetic-data-to-develop-and-validate-a-multivariable-predictor-of-esophageal-cancer.pdf]
Preview
PDF
stone-et-al-2024-using-saliva-epigenetic-data-to-develop-and-validate-a-multivariable-predictor-of-esophageal-cancer.pdf - Published Version

Download (2MB) | Preview

Abstract

Background: Salivary epigenetic biomarkers may detect esophageal cancer. Methods: A total of 256 saliva samples from esophageal adenocarcinoma patients and matched volunteers were analyzed with Illumina EPIC methylation arrays. Three datasets were created, using 64% for discovery, 16% for testing and 20% for validation. Modules of gene-based methylation probes were created using weighted gene coexpression network analysis. Module significance to disease and gene importance to module were determined and a random forest classifier generated using best-scoring gene-related epigenetic probes. A cost-sensitive wrapper algorithm maximized cancer diagnosis. Results: Using age, sex and seven probes, esophageal adenocarcinoma was detected with area under the curve of 0.72 in discovery, 0.73 in testing and 0.75 in validation datasets. Cancer sensitivity was 88% with specificity of 31%. Conclusion: We have demonstrated a potentially clinically viable classifier of esophageal cancer based on saliva methylation.

Type: Article
Title: Using saliva epigenetic data to develop and validate a multivariable predictor of esophageal cancer status
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.2217/epi-2023-0248
Publisher version: http://dx.doi.org/10.2217/epi-2023-0248
Language: English
Additional information: This work is licensed under the Creative Commons Attribution 4.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Keywords: biomarker panel, diagnosis, epigenetics, esophageal adenocarcinoma, saliva
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Targeted Intervention
URI: https://discovery.ucl.ac.uk/id/eprint/10185815
Downloads since deposit
10Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item