Incorporation of adverse features in advanced oral cancer improves precision in staging and patient prognostication

Autor: Manraj, Singh, Krishnakumar, Thankappan, Deepak, Balasubramanian, Vijay, Pillai, Vivek, Shetty, Vidyabhushan, Rangappa, Naveen Hedne, Chandrasekhar, Vikram, Kekatpure, Moni Abraham, Kuriakose, Arvind, Krishnamurthy, Arun, Mitra, Arun, Pattatheyil, Prateek, Jain, Subramania, Iyer, Narayanan Gopalakrishna, Iyer, Narayana, Subramaniam
Rok vydání: 2021
Předmět:
Zdroj: HeadneckREFERENCES. 44(4)
ISSN: 1097-0347
Popis: Despite revised staging criteria, stratification of patients with advanced oral squamous cell carcinoma (OSCC) remains difficult. Well-established features like perineural invasion (PNI), differentiation, and lymphovascular-invasion (LVI) are controversial, and hence omitted from staging. We endeavor to better stratify this cohort by identifying predictors of survival in advanced OSCC (T3-4).Seven hundred and forty-two patients with T3-4 OSCC underwent surgery from 2006 to 2013. Cox regression was performed to determine predictors of overall survival (OS).OS was adversely impacted by PNI (p = 0.046), LVI (p = 0.038), moderate/poor differentiation (p = 0.001), close/involved surgical margins (p = 0.002), pT (p = 0.034), and pN (p 0.001). The cumulative number of adverse histopathological features predicted poorer OS; HR 2.64 (CI 1.42-4.90) for one adverse feature and HR 4.23 (CI 2.34-7.67) for ≥2.In advanced OSCC, stratification with histopathologic risk factors can predict survival even in maximally treated patients; adjuvant therapies are unable to entirely mitigate this risk. Incorporation of adverse features into future editions of TNM can improve precision in staging and identify candidates for treatment escalation.
Databáze: OpenAIRE