Prognostic Exploration of All-Cause Death in Gingival Squamous Cell Carcinoma: A Retrospective Analysis of 2076 Patients

Clinico-pathological specificities of gingival carcinoma among 32 patients with oral cancer: a cross sectional retrospective and observational study

BACKGROUND

The study aimed to examine the prevalence of gingival cancers compared to other oral mucosal sites, analyze patient profiles, and identify risk factors.

MATERIALS AND METHODS

A retrospective monocentric study was conducted at the Department of Oral Medicine of Bretonneau Hospital in Paris, France. 32 patients diagnosed with oral mucosal cancer were included. Data extracted from electronic medical records encompassed patient demographics, cancer type, lesion location, and tobacco/alcohol use.

RESULTS

46.9% were diagnosed with gingival cancer. Patients with gingival cancer had a mean age of 74.2 years old, higher than the mean age of 63.9 years old for those with non-gingival cancer. Men accounted for 60% of cases in the gingival cancer group. Squamous cell carcinoma was the predominant cancer type observed in both gingival and non-gingival cancers. Notably, 26.7% of gingival cancer patients used both alcohol and tobacco, all of them male. Among non-gingival cancer patients, 23.5% used both substances, with both sexes represented.

CONCLUSION

This study provides insights into the higher prevalence of oral squamous cell carcinoma among men with risk factors and highlights characteristics of gingival squamous cell carcinoma. Effective management strategies should include comprehensive clinical assessments to ensure early detection and intervention for improved outcomes.

Risk Stratification in Oral Cancer: A Novel Approach

Background

Oral squamous cell carcinoma (OSCC) is a common head and neck cancer with high morbidity and mortality. Currently, treatment decisions are guided by TNM staging, which omits important negative prognosticators such as lymphovascular invasion, perineural invasion (PNI), and histologic differentiation. We proposed nomogram models based on adverse pathological features to identify candidates suitable for treatment escalation within each risk group according to the National Comprehensive Cancer Network (NCCN) guidelines.

Methods

Anonymized clinicopathologic data of OSCC patients from 5 tertiary healthcare institutions in Asia were divided into 3 risk groups according to the NCCN guidelines. Within each risk group, nomograms were built to predict overall survival based on histologic differentiation, histologic margin involvement, depth of invasion (DOI), extranodal extension, PNI, lymphovascular, and bone invasion. Nomograms were internally validated with precision-recall analysis and the Kaplan-Meier survival analysis.

Results

Low-risk patients with positive pathological nodal involvement and/or positive PNI should be considered for adjuvant radiotherapy. Intermediate-risk patients with gross bone invasion may benefit from concurrent chemotherapy. High-risk patients with positive margins, high DOI, and a high composite score of histologic differentiation, PNI, and the American Joint Committee on Cancer (AJCC) 8th edition T staging should be considered for treatment escalation to experimental therapies in clinical trials.

Conclusion

Nomograms built based on prognostic adverse pathological features can be used within each NCCN risk group to fine-tune treatment decisions for OSCC patients.