Ontology highlight
ABSTRACT:
SUBMITTER: Banavar G
PROVIDER: S-EPMC8654845 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature
Banavar Guruduth G Ogundijo Oyetunji O Toma Ryan R Rajagopal Sathyapriya S Lim Yen Kai YK Tang Kai K Camacho Francine F Torres Pedro J PJ Gline Stephanie S Parks Matthew M Kenny Liz L Perlina Ally A Tily Hal H Dimitrova Nevenka N Amar Salomon S Vuyisich Momchilo M Punyadeera Chamindie C
NPJ genomic medicine 20211208 1
Despite advances in cancer treatment, the 5-year mortality rate for oral cancers (OC) is 40%, mainly due to the lack of early diagnostics. To advance early diagnostics for high-risk and average-risk populations, we developed and evaluated machine-learning (ML) classifiers using metatranscriptomic data from saliva samples (n = 433) collected from oral premalignant disorders (OPMD), OC patients (n = 71) and normal controls (n = 171). Our diagnostic classifiers yielded a receiver operating characte ...[more]