Research Paper
To investigate potential target based phytochemicals against COX 2 & STAT 3 protein of Squamous Cell Carcinoma of Head & Neck using In-Silico approach
Cancer is not just one disease but many diseases affecting the world over. Carcinoma is a type of cancer arise from epithelial cells. Squamous-cell carcinoma of the head and neck (SCCHN) represents a heterogeneous disease entity, with various etiological factors implicated in the genesis of distinct molecular subsets of tumors, which exhibit different biological and clinical behavior. Historically, SCCHN has been about twice as common in men as in women and more frequent in people over 50 with growing incidence reported among younger people. Alcohol and tobacco are common etiologic factors for SCCHN, linked to at least 75% of cases. Systems biology emphasizes the need for molecular characterization of cancer development. Molecular tools are screened as means of candidate biomarkers leading to cancer. Overexpression of proteins causing tumorigenesis is better understood by studying their role in cancer proliferation. COX 2 and STAT3 are pathway-mediated bioagents in head and neck cancer considered as targetable protein. Phytochemicals such as Rutin, Quercetin and Ellagic acid are well-known inhibitors of both COX 2 and STAT3 proteins. In-silico approach was used to analyze binding interactions of phytochemicals against selected protein structures of COX 2 and STAT3 using docking studies thereby forming drug able agents. The main objective is to find an alternative treatment to chemoprevention therapy. This research work aims to carry out systematic review of head and neck cancer in order to develop potential target-based therapy. Therefore, Rutin against 5IKR, 5F19, Quercetin against 6NJS and Ellagic acid against 6QHD may be considered to be potential anti-cancer against SCCHN target which further needs to be explored for drug development process.
Published by: Priyankal D. Sharma, Aparna Hiren Patil Kose, Chintan Navnit Shah
Author: Priyankal D. Sharma
Paper ID: V6I3-1627
Paper Status: published
Published: June 26, 2020
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