biostudies-literatureSathasivam HPMinistry of Health Malaysia.Medical Research Council413-421https://www.ebi.ac.uk/biostudies/studies/S-EPMC8329212biostudies-literatureUnknown125(3)<h4>Background</h4>This study was undertaken to develop and validate a gene expression signature that characterises oral potentially malignant disorders (OPMD) with a high risk of undergoing malignant transformation.<h4>Methods</h4>Patients with oral epithelial dysplasia at one hospital were selected as the 'training set' (n = 56) whilst those at another hospital were selected for the 'test set' (n = 66). RNA was extracted from formalin-fixed paraffin-embedded (FFPE) diagnostic biopsies and analysed using the NanoString nCounter platform. A targeted panel of 42 genes selected on their association with oral carcinogenesis was used to develop a prognostic gene signature. Following data normalisation, uni- and multivariable analysis, as well as prognostic modelling, were employed to develop aBritish journal of cancerPredicting the clinical outcome of oral potentially malignant disorders using transcriptomic-based molecular pathology.PMC8329212MR/N005872/1Sathasivam HPNugent MRobinson MKist RSloan PHaider SThomson PAlexander JfalsePredicting the clinical outcome of oral potentially malignant disorders using transcriptomic-based molecular pathology.<h4>Background</h4>This study was undertaken to develop and validate a gene expression signature that characterises oral potentially malignant disorders (OPMD) with a high risk of undergoing malignant transformation.<h4>Methods</h4>Patients with oral epithelial dysplasia at one hospital were selected as the 'training set' (n = 56) whilst those at another hospital were selected for the 'test set' (n = 66). RNA was extracted from formalin-fixed paraffin-embedded (FFPE) diagnostic biopsies and analysed using the NanoString nCounter platform. A targeted panel of 42 genes selected on their association with oral carcinogenesis was used to develop a prognostic gene signature. Following data normalisation, uni- and multivariable analysis, as well as prognostic modelling, were employed to develop a2021-01-01T00:00:00Z2021 Aug2026-05-31T23:57:31.989Z2024-10-17T20:01:23.186ZS-EPMC83292123397274510.1038/s41416-021-01411-z