New Histopathologic Risk Model for Early T-stage Oral Squamous Cell Carcinoma

Author:

Chang Hsin-Yi1,Hang Jen-Fan123,Kuo Ying-Ju12

Affiliation:

1. Department of Pathology and Laboratory Medicine, Taipei Veterans General Hospital

2. School of Medicine

3. Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan

Abstract

Oral squamous cell carcinoma (OSCC) is treated based on the TNM staging. However, early T-stage OSCC still exhibits substantial nodal metastasis and death rates. Recent literature highlights the independent prognostic value of worst pattern of invasion (WPOI) and tumor budding in OSCC. Nevertheless, WPOI-5 is uncommon in early T-stage OSCC, and the definitions of tumor budding and WPOI-4 overlap. Moreover, WPOI assessment is subjective, and tumor budding evaluation varies across studies. To address these limitations, we aimed to develop a modified WPOI system and a novel tumor budding scoring system that assesses single cells and high-density tumor budding. We also evaluated a new histopathologic risk model for early T-stage OSCC. The study cohort comprised 37 pT1 and 64 pT2 OSCCs. The modified WPOI demonstrated superior interobserver agreement compared with the original system (κ value: 0.98 vs. 0.53). In the multivariate analysis, modified WPOI and tumor budding score were independent prognostic factors for nodal metastasis and disease-free survival, while modified WPOI predicted disease-specific survival. By integrating these factors, our risk model stratified the patients into 3 groups. Notably, the intermediate-risk and high-risk groups exhibited significantly higher rates of nodal metastasis, recurrence, and tumor-related death. Conversely, none in the low-risk group had nodal metastasis or succumbed to the disease. Our model offered simplified scoring and potentially improved prognostic predictions. In conclusion, we’ve developed a modified WPOI system, a new tumor budding scoring system, and a reliable risk model that classifies early T-stage OSCC patients into distinct risk groups with significant prognostic differences.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Pathology and Forensic Medicine,Surgery,Anatomy

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