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ABSTRACT: Background
Recent literature has highlighted the role of the host in prognosis in oral squamous cell carcinoma (OSCC). Autoimmune (AI) disease represents a macroscopic depiction of host status. The goal of this study was to predict an AI "status" and to analyze the utility of this "status" as a prognostic indicator in OSCC.Methods
From a departmental database of OSCC patients (n = 1377), 125 patients with an AI disorder were identified. PBL values were obtained and standardized for analysis. A LASSO regression model was used to determine the best predictors of AI status and an AI score was developed. The score was then analyzed across various survival endpoints.Results
When AI score was divided into a binary variable, patients in the highest quartile had a significa
SUBMITTER: Pillai A
PROVIDER: S-EPMC8441075 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature