Ontology highlight
ABSTRACT:
SUBMITTER: Liu Y
PROVIDER: S-EPMC9661785 | biostudies-literature | 2022 Nov
REPOSITORIES: biostudies-literature
Liu Yanan Y Gao Zhiguang Z Peng Cheng C Jiang Xingli X
European journal of medical research 20221114 1
We constructed a prognostic score (PS) model to predict the recurrence risk in patients previously diagnosed with laryngeal cancer (LC). Here the training dataset, consisting of 82 LC samples, was downloaded from The Cancer Genome Atlas (TCGA). The PS model then divided the LC samples into high- and low-risk groups, which predicted well the survival time of LC in three datasets (TCGA dataset: AUC = 0.899; GSE27020: AUC = 0.719; and GSE25727: AUC = 0.662). Therefore, the PS model based on the 10 ...[more]