Authors: P Jagan Mohan Rao N V Vardhini M V S Parvathi P Balakrishna Murthy G Sudhakar
Publish Date: 2014/06/24
Volume: 35, Issue: 10, Pages: 9539-9548
Abstract
Thyroid cancer is one of the most common endocrine disorders in the world In India about 42 million people suffer from various thyroid disorders However based on populationbased cancer registry PBCR and Chennai cancer registry thyroid cancer is emerging as a common cancer particularly in Chennai Papillary thyroid carcinoma is considered as the most prevalent cancer constituting about 80–85 of thyroid malignancies Rearranged during transfection RET/papillary thyroid carcinoma PTC gene rearrangements are one of the major genetic alterations found in papillary thyroid carcinoma This present study aims at estimating the frequency of RET/PTC1 and RET/PTC3 gene rearrangements in Chennai population and investigating the correlation between RET/PTC gene expressions with clinical parameters Formalinfixed paraffinembedded FFPE tumor tissues obtained from 30 patients with papillary thyroid carcinoma were analyzed Initially to differentiate classic and follicular variants of papillary thyroid carcinoma samples immunohistochemistry was performed Thereafter total RNA was isolated and quantitative evaluation of RET/PTC1 and RET/PTC3 gene rearrangements by realtime PCR was performed Chisquare test was performed to understand the correlation between positive and negative mutations of RET/PTC messenger RNA mRNA expression with clinical parameters RET/PTC3 gene rearrangements were identified in 26/30 8667 cases and none of the patient in our series had RET/PTC1 gene rearrangements There was no statistically significant difference observed between positive and negative mutations of RET/PTC3 mRNA expression with clinic pathological parameters Our results indicate that RET/PTC3 gene rearrangements are the most prevalent form of rearrangements in PTCs of Chennai populationWe are glad to thank the management of IIBAT for providing support We thank Dr P Srivatsa and Dr G Selvam for their help in the evaluation and reconfirmation of the histopathology case diagnosis We also thank A Goparaju for his help in statistical analysis
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