Satish Kumar, Lingaraja Jena, Maheswata Sahoo, Kanchan Mohod, S. Daf, A. Varma
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引用次数: 4
Abstract
The most commonly diagnosed cancer in women is the breast cancer. Around 5-10% of breast cancer cases are hereditary, mainly due to the mutation in the breast cancer susceptible Breast Cancer 1 (BRCA1) and Breast Cancer 2 (BRCA2) tumour-suppressor genes. More than hundreds mutations are documented in BRCA1 C-terminal region (BRCT), mainly associated with repairing DNA damage and cell cycle control. In this study, we employed different mutation analysis system such as sorting intolerant from tolerant, MutPred, PON-P2, Meta-SNP, etc., to predict the pathological effects of 95 distinct miss sense mutation on BRCT domain. Out of which, 37 mutations were predicted to be deleterious by all mutation analysis systems affecting the protein stability and its normal function leading to causing cancer. The computational approach for finding out the impact of mutation on BRCA protein may provide a way in early detection and therapy in breast cancer patients.
女性中最常见的癌症是乳腺癌。大约5-10%的乳腺癌病例是遗传性的,主要是由于乳腺癌易感的乳腺癌1 (BRCA1)和乳腺癌2 (BRCA2)肿瘤抑制基因的突变。在BRCA1 c -末端区(BRCT)记录了数百个突变,主要与修复DNA损伤和细胞周期控制有关。在本研究中,我们采用了不同的突变分析系统,如从耐受性、MutPred、PON-P2、Meta-SNP等进行分类,预测了95种不同的缺失感突变在BRCT结构域上的病理作用。所有突变分析系统预测其中37个突变是有害的,影响蛋白质的稳定性和正常功能,导致癌症。研究突变对BRCA蛋白影响的计算方法可能为乳腺癌患者的早期发现和治疗提供一种方法。