Year : 2015  |  Volume : 7  |  Issue : 1  |  Page : 3-6

Quantitative analysis of C-reactive protein in potentially malignant disorders: A pilot study

Department of Oral Pathology, SIBAR Institute of Dental Sciences, Guntur, Andhra Pradesh, India

Correspondence Address:
Dr. Kattappagari Kiran Kumar
Department of Oral Pathology, SIBAR Institute of Dental Sciences, Guntur, Andhra Pradesh
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0975-8844.157355

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Background: Recent advances in understanding complex tumor interactions have led to the discovery of an association between inflammation and cancer. An abundance of pro - inflammatory cytokines in a tumor micro-environment can lead to angiogenesis, thus favoring neoplastic growth. Serum C reactive protein is a sensitive marker of inflammation and may have significant prognostic value as early biomarker for cancer diagnostics. Aims and Objectives: This was a pilot study done to assess the serum C reactive protein levels in potentially malignant disorders (PMDS) and to evaluate their role as prognostic marker. Materials and Methods: The study sample consisted of 20 cases of oral potentially malignant disorders (10 each of Leukoplakia, Oral Sub mucous fibrosis) confirmed by histopathological examination and 10 controls. All the samples were subjected to C - reactive protein analysis by immunoturbidometery. Results were subjected to Statistical analysis. Statistical analysis: Data was entered in data base management of the software SPSS version 20.0. Comparison of three groups with respect to C reactive protein levels was done by one way ANOVA. Pair wise comparison of three groups was done by Turkeys multiple post hoc procedure. Results: Mean C reactive protein levels in leukoplakia was 0.33±0.17, in oral submucous fibrosis was 0.58±0.83 where as in controls it was 0.26±0.05. In potentially malignant disorders, C reactive protein was slightly elevated when compared with the controls. Conclusion: Our findings demonstrate that serum C reactive protein concentration is associated with subsequent development of oral cancer and could serve as a potential prognostic biomarker.

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