Oral squamous cell carcinoma: Etiology, pathogenesis and prognostic value of genomic alterations

Abstract

Tumours of the head and neck comprise an important group of neoplasia, the incidence of which is increasing in many parts of the world. This increase remains high, despite all the advances in modern medicine. This malignancy is more prevalent in the developing world and unfortunately, has not received satisfactory attention as the more prevalent cancers of the developed world, like lung, breast, or colon cancer. Recent advances in diagnosis and therapeutic techniques of these lesions have yielded novel molecular targets, uncovered signal pathway dominance and advanced early cancer detection. This review covers recent advances in our understanding of the etiology, molecular changes and the possible role that genomic and proteomic research might play in the diagnosis and effective cure of this modern-day scourge.

Estimation of Serum Beta 2-Microglobulin Levels in Individuals Exposed to Carcinogens: Clinical Study in Indian Population

“…These findings were consistent with literature. The incidence rate of leukoplakia was usually seen with increasing age and males were more commonly affected than females [6][7][8][9]. In the present study, the maximum number of leukoplakia patients were males (86.67 %) as compared to females (13.33 %) and most affected age group in leukoplakia patients was between 31 and 40 years [10].…”

Synergistic Cytotoxic Effect of Statins and Bisphosphonates on Squamous Cell Carcinoma Cell Line

“…It is estimated to cause about 7.6 million deaths per year, with 64% of these cases in developing countries [2,3].…”

Image analysis assisted study of mitotic figures in oral epithelial dysplasia and squamous cell carcinoma using differential stains

“…17 Mitosis, the cell generating process in humans, runs at the nuclei level and, as such, there is an interest in studying the nuclei of cells with the purpose of detecting cancerous cells. 18 The reliability and reproducibility of mitotic counts has recently also been improved by elaboration of quantitative methods 19 of which image processing favors the detection of mitotic figures to achieve successful discrimination between mitoses and other objects such as artifacts and nuclei of inflammatory cells.…”