Peripheral blood values as predictors of autoimmune status in oral cavity squamous cell carcinoma Journal Article


Authors: Pillai, A.; Valero, C.; Navas, K.; Morris, Q.; Patel, S. G.
Article Title: Peripheral blood values as predictors of autoimmune status in oral cavity squamous cell carcinoma
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 significantly worse overall survival (OS), local recurrence-free (LRFP) and distant recurrence-free probability (DRFP). Survival curves showed significant differences for OS, DSS, LRFP, and DRFP. Conclusions: AI diseases are immune dysregulations that could play a role in prognosis. Therefore, development of an AI score is necessary to depict host status in a ubiquitous manner. AI score as a binary variable may be more utilitarian in a clinical setting, compared to the continuous score. This novel tool needs validation and integration into more tumor and host characteristics. This investigation showed utility of such a score, similar to PBL data in OSCC prognosis. Future studies should incorporate other relevant variables known to affect outcome and implement a more comprehensive predictive model. © 2021
Keywords: head and neck cancer; autoimmune disease; inflammatory response; immune dysregulation; oral squamous cell carcinoma
Journal Title: Translational Oncology
Volume: 14
Issue: 12
ISSN: 1936-5233
Publisher: Elsevier Science, Inc.  
Date Published: 2021-12-01
Start Page: 101220
Language: English
DOI: 10.1016/j.tranon.2021.101220
PROVIDER: scopus
PMCID: PMC8441075
PUBMED: 34521033
DOI/URL:
Notes: Article -- Export Date: 1 October 2021 -- Source: Scopus
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  1. Snehal G Patel
    412 Patel
  2. Quaid Morris
    36 Morris
  3. Anjali Pillai
    8 Pillai
  4. Kathleen Navas
    2 Navas