A comparison between TNM and TANIS stage grouping for predicting prognosis of oral and oropharyngeal cancer

J Oral Maxillofac Surg. 1998 Jul;56(7):832-6; discussion 836-7. doi: 10.1016/s0278-2391(98)90007-6.

Abstract

Purpose: The 1987 TNM classification system modified some T and N definition but it did not change stage grouping. Consequently it has not improved the prognostic validity of the advanced stage groups. In 1993, a new stage grouping was purposed, TANIS, that seems to have a higher correlation with survival. In this report, the TNM classification and TANIS system were compared to evaluate this prognostic ability.

Patients and methods: Data from 164 patients affected by primary cancers of oropharynx or oral cavity were analyzed by means of Kaplan-Meier and Cox regression analysis.

Results: The crude survival rate at 5 years was 43.9%. Both systems showed a significant correlation with the survival rate by means of Cox regression analysis. TANIS subcategories were correlated to the mortality rate in the stage IV patients. TANIS resulted a better predictor of mortality when compared with TNM.

Conclusion: The TANIS system was able to separate the TNM stage IV patients into prognostic groups, yielding more information with respect to TNM for such a category of patients. When a comparison between TNM and TANIS was performed, it was observed that TANIS had a higher correlation with survival rate, whereas TNM did not add any information in defining the survival function.

Publication types

  • Comparative Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Analysis of Variance
  • Carcinoma, Squamous Cell / classification
  • Carcinoma, Squamous Cell / pathology*
  • Evaluation Studies as Topic
  • Female
  • Forecasting
  • Humans
  • Likelihood Functions
  • Male
  • Middle Aged
  • Mouth Neoplasms / classification
  • Mouth Neoplasms / pathology*
  • Neoplasm Staging / methods*
  • Oropharyngeal Neoplasms / classification
  • Oropharyngeal Neoplasms / pathology*
  • Prognosis
  • Proportional Hazards Models
  • Reproducibility of Results
  • Survival Rate