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Indian Journal of Pathology: Research and Practice

Volume  6, Issue 4 (Part-2), Oct-Dec 2017, Pages 1061-1066
 

Original Article

Evaluation of Prognostic Factors in 198Buccal Mucosa Cancer Patients: Univariate and Multivariate Analysis

Padma Ramasamy*, Kalaivani Amitkumar**, Sundaresan Sivapatham*

*Medical Research Centre, **Associate Professor, Department of Pathology, SRM Medical College Hospital and Research Centre, SRM University, Kattankulathur, Tamil Nadu 603203, India.

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DOI: DOI: http://dx.doi.org/10.21088/ijprp.2278.148X.6417.40

Abstract

Background: Buccal mucosa cancer is the most common oral subsitewhichis aggressive in nature, had high rate of locoregional recurrence and mortality in India. Objective: The aim of study was to evaluate prognostic factors for buccal mucosa cancer by univariate and multivariate analysis. Materials and Methods: A retrospective study was performed by reviewing medical records between 2013 and 2016. Results: A total 198 buccal mucosa cancer were selected within the study criteria which includes125 (63.1%) male and 73 (36.9%) femaleparticipant with mean age of 54 years. Of 198 patients, 24 (12%) recurrence and 7 (3.5%) diseasespecific death was reported during followup period of 34 months (Median, 24 months).The KaplanMeier analysis shows 1st, 2nd and 3rdyear overall survivals were 90%, 72% and 48%, respectively. In univariate analysis,patients age, socioeconomic status, risk habits, clinicalTNM stage, tumor depth and cell differentiation were significant at 95% confidence interval (CI), p<0.05 and further validated by multivariate analysis.The multivariate coxregressionhazard risk (HR) revealed, age [HR, 0.593 (0.974 0.361), p=0.039], socioeconomic status [HR, 1.82 (1.432.55), p=0.048], risk habits [HR, 2.08 (2.1684.39), p=0.027], TNM stage [1.27 (1.183.15), p=0.037], tumor depth [HR, 4.08 (1.2213.58); p=0.021] and cell differentiation [HR, 2.45 (1.274.73); p=0.007]astrue independent prognostic factor at 95CI, p<0.05. Conclusion: Although several factors related to disease, the present study revealed that age, socioeconomic status, risk habits and clinical characteristics of TNM stage, tumor depth and cell differentiation may influence the survival outcome of patients.

 

Keywords: Clinical Stage; Multimodality Treatment; Oral Cancer; Prognostic Factor; Risk Habits. 


Corresponding Author : Kalaivani Amitkumar, Associate Professor, Department of Pathology, SRM Medical College Hospital and Research Centre, Kattankulathur, Tamil Nadu 603203, India.