Primary Tumor Staging for Oral Cancer and a Proposed Modification Incorporating Perineural Invasion: An International Multicenter Study

Author:

Na'ara Shorook12ORCID,Subramaniam Narayana3,Deganello Alberto45,Shinnawi Shadi2,Billan Salem6,Mattavelli Davide7,Ferrari Marco7,Balasubramanian Deepak3,Thankappan Krishnakumar3,Iyer Subramania3,Gil Ziv8

Affiliation:

1. Department of Otolaryngology‐Head and Neck Surgery University of California‐San Francisco Helen Diller Family Comprehensive Cancer Center San Francisco CA 94158 USA

2. Department of Otolaryngology Head and Neck Surgery The Head and Neck Center Rambam Healthcare Campus Rappaport School of Medicine Technion – Israel Institute of Technology Haifa 3109601 Israel

3. Department of Head and Neck Oncology Amrita Institute of Medical Sciences Amrita Vishwa Vidyapeetham Kochi 682041 India

4. Otolaryngology Head and Neck Surgery Department of IRCCS National Cancer Institute (INT) Milan 20133 Italy

5. Department of Oncology and Hematology‐Oncology University of Milan Milan Italy

6. Oncology Department The Head and Neck Center Rambam Healthcare Campus Haifa 3109601 Israel

7. Unit of Otorhinolaryngology‐Head and Neck Surgery Department of Surgical Specialties, Radiological Sciences, and Public Health University of Brescia Brescia 25123 Italy

8. Head and Neck Center Holy Family Hospital Nazareth 1641100 Israel

Abstract

AbstractThe objective of this study is to determine if the incorporation of perineural invasion (PNI) into the T‐classification would improve the prognostic performance of TNM‐8. An international, multicenter study of 1049 patients with oral cavity squamous cell carcinoma that were treated from 1994 to 2018 is performed. Various classification models are developed within each T‐category and evaluated using the Harrel‐concordance index (C‐index), Akaike‐information criterion (AIC), and visual inspection. Stratification into distinct prognostic categories, with internal validation, is performed using bootstrapping analysis (SPSS and R‐software). Through multivariate analysis, PNI is significantly associated with disease‐specific survival (p < 0.001). PNI integration into the staging system results in a significantly improved model compared with the current T category alone (lower AIC, p < 0.001). The PNI‐integrated model is superior in predicting differential outcomes between T3 and T4 patients. A new model for T‐classification of oral cavity squamous cell carcinoma is proposed, which is based on incorporating PNI into the staging system. These data can be used for future evaluations of the TNM staging system.

Publisher

Wiley

Subject

General Medicine

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