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. 2008 Nov-Dec;74(6):861-866.
doi: 10.1016/S1808-8694(15)30146-4.

Prognostic factors in squamous cell carcinoma of the oral cavity

José Raphael de Moura Campos Montoro  1 , Hilton Alves Hicz  2 , Luiz de Souza  3 , David Livingstone  4 , Daniel Hardy Melo  5 , Rogério Costa Tiveron  6 , Rui Celso M Mamede  7
Affiliations

Prognostic factors in squamous cell carcinoma of the oral cavity

José Raphael de Moura Campos Montoro et al. Braz J Otorhinolaryngol. 2008 Nov-Dec.

Erratum in

  • Braz J Otorhinolaryngol. 2010 Feb;76(1):139. Hicz, Hilton Alves [corrected to Ricz, Hilton Alves]

Abstract

Researchers have been looking for factors that can influence the prognosis of oral cancer, because its outcome is highly uncertain.

Aim: To evaluate variables that can impact the survival rate of patients with squamous-cell carcinoma of the oral cavity.

Material and methods: Data analysis of 45 patients from January, 2001 to January, 2006. Survival rate curves have been estimated using the Kaplan-Meier method and they have been compared through the log-rank test and the Cox regression standard.

Study design: Retrospective analysis.

Results: Total five-year survival rate was of 39% fpr these patients. Only the neck metastases (p=0.017), postoperative radiotherapy (p=0.056) and diseased margin(p=0.004) variables had statistic relevance. Survival rate was lower in patients with neck metastases, margins involved and those who underwent postoperative radiotherapy, in other words, those with the most aggressive tumors. After adjustment, radiotherapy did not prove to be statistically relevant. It is likely that the survival rate of 39% was due to the high number of patients with metastasis (52%) and because the samples were mostly of tongue and mouth floor diseases (82%), which are the hardest to control.

Conclusion: Neck metastases and diseased margins of oral cavity carcinomas are the prognostic factors that can most impact the survival rate.

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Figures

Figure 1
Figure 1
Representation of the survival curve of patients with mouth cancer, estimated by the Kaplan-Meier method.
Figure 2
Figure 2
Representation of survival curves for the presence and absence of neck metastases, estimated by the Kaplan-Meier method (p=0.017, according to the log-rank).
Figure 3
Figure 3
Representation of survival curves for postoperative radiotherapy and its absence, estimated by the Kaplan-Meier method (p=0.056, according to the log-rank).
Figure 4
Figure 4
Representation of survival curves for free and compromised margins, estimated by the Kaplan-Meier method (p=0.004, according to the log-rank).
See this image and copyright information in PMC

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