BACKGROUND: Association with variety of etiological agents is one of the characteristic features of oral squamous cell carcinoma (OSCC). We hypothesized the existence of tobacco consumption habit-based heterogeneity in the immunohistochemical expression of carcinogenesis relevant molecular markers in OSCC. Hence, the present study was conducted to investigate the carcinogenesis relevant three commonly expressed markers (Ki-67, CD105, and alpha-smooth muscle acting [SMA]) in various forms of tobacco consumption habits in OSCC patients. MATERIALS AND METHODS: A total of 217 patients of OSCC were included in the study, and based on the habit, they were broadly categorized into tobacco lime (TL), TL and areca nut (TLAN), and areca nut (AN). Further, categorization was done on the basis of absence or presence of additional habit of smoking. Immunohistochemistry (IHC) was performed using Ki-67, CD105, and alpha-SMA markers on formalin-fixed paraffin-embedded tissues. RESULTS: TLAN (62.21%) was the most common habit noted in OSCC patient followed by TL (20.73%) and AN (15.20%). The additional habit of smoking was observed in 31.11% and 25.92% of TL and TLAN habits of OSCC patients, respectively. All the three markers (Ki-67, CD105, and alpha-SMA) showed statistically significant differences in the habit group such as TL, TLAN, and AN (P < 0.001). Although the expression of all the three markers was increased in TL as compared with TLAN, differences were not statistically significant. When these markers were compared in with and without smoking category, only TLAN with smoking and TLAN without smoking showed statistically significant differences in the expression of all three markers. CONCLUSIONS: Ki-67 CD105 and alpha-SMA immunohistochemical expression in OSCC corresponds with different forms of tobacco consumption habits. Habit-related unique carcinogenesis events are reflected at IHC level thus providing proof of concept for future studies.
No clinical trial protocols linked to this paper
Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.PICO Elements
No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.
Paper Details
MeSH Terms
Associated Data
No associated datasets or code repositories found for this paper.
Related Papers
Related paper suggestions will be available in future updates.