摘要:BRM多态性是一种新的表观遗传机制的一部分,可以预测多种癌症类型的癌症风险和临床结果

Suhdir Rai, Jennifer E. Wang, K. Wong, X. Qiu, Geoffrey Liu, D. Reisman
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引用次数: 0

摘要

BRM多态性与抗癌基因启动子区域和SWI/SNF催化亚基Brahma (SMARCA2)有关。这些多态性在统计学上与细胞系和原发性肺肿瘤中BRM表达的缺失相关,并作为BRM可逆沉默的表观遗传机制的一部分发挥作用。具体来说,这些多态性至少是两个转录因子(MEF2D和GATA3)和两个hdac (HDAC3和HDAC9)的结合位点。这些蛋白质形成一个复合体,驱动BRM蛋白的可逆沉默。由于BRM可以作为一种抗癌蛋白,部分原因是BRM和SWI/SNF是TP53和RB正常功能以及多种DNA修复机制所必需的,因此BRM的沉默增强了小鼠癌症的发展。因此,BRM多态性可预测肺癌(n=600)、乳腺癌(n= 300)、头颈癌(n=400)、结肠癌(n= 250)和淋巴瘤(n= 300)的癌症风险,比值比为1.8 ~ 2.3。由于这些多态性在非裔美国人中更常见,因此非裔美国人患肺癌的比值比(n=250)(3.5-4.5)高于白种人(2-2.3)(n= 600)。同样,BRM多态性在HPV阳性头颈癌中具有更高的预测价值,比值比为3.2,而HPV阳性头颈癌的比值比为2.0。这部分是由于BRM与HPV E2蛋白一起调节转化型HPV蛋白E6/E7的表达。与其他具有致癌风险的基因多态性不同,BRM的沉默是可以通过类黄酮和某些非甾体抗炎药等化合物逆转的,从理论上讲,这些基因多态性可以通过改变饮食来逆转或消除癌症风险,从而使这些基因多态性在这方面是独一无二的。由于BRM多态性和BRM表达也与分化和细胞粘附有关,这些多态性在胰腺癌、头颈癌、肺癌、结肠癌和食管癌中也预示着较差的临床结果,其风险比在3到10之间。因此,BRM多态性代表了一种预测多种癌症类型的癌症风险和临床结果的新因素。此外,这些多态性可以潜在地解释在非裔美国人中观察到的健康差异(肺癌发病率较高,但吸烟率较低)。引用格式:Suhdir Rai, Jennifer Wang, Kit Man Wong, Xiaoping Qiu, Geoff Liu, David Reisman。BRM多态性是一种新的表观遗传机制的一部分,可以预测多种癌症类型的癌症风险和临床结果。[摘要]。摘自:AACR特别会议论文集:改进癌症风险预测以预防和早期发现;2016年11月16日至19日;费城(PA): AACR;Cancer epidemiology Biomarkers pre2017;26(5增刊):摘要nr A24。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Abstract A24: BRM polymorphisms, part of a novel epigenetic mechanism, are predictive of cancer risk and clinic outcome in multiple cancer types
BRM polymorphisms lie with the promoter region of the anticancer gene and SWI/SNF catalytic subunit, Brahma (SMARCA2). These polymorphisms statistically correlate with loss of BRM expression in both cell lines and primary lung tumors and function as part of an epigenetic mechanism which underlies BRM reversible silencing. Specifically, these polymorphisms function as the binding site of at least two transcription factors (MEF2D and GATA3) and two HDACs (HDAC3 and HDAC9). These proteins form a complex which drives the reversible silencing of the BRM protein. As BRM can serve as an anticancer protein, in part because BRM and SWI/SNF is required for the normal function of TP53 and RB as well as multiple DNA repair mechanisms, the silencing of BRM potentiates cancer development in mice. As such, BRM polymorphisms are predictive of cancer risk for lung cancer (n=600), breast cancer (N=300), head/neck cancer (n=400), colon cancer (N=250) and lymphoma (N=300) with an odds ratio ranging from 1.8 to 2.3. As these polymorphisms occur more frequently in African Americans, the odds ratio (cancer risk) in African Americans for lung cancer (n=250) is higher (3.5-4.5) as compared to that observed in Caucasians (2-2.3) (N=600). Similarly, BRM polymorphisms have a higher predictive value in HPV positive head/neck cancer with an odds ratio of 3.2 compared with an odds ratio of 2.0 in HPV positive head/neck cancer. This is in part due to the fact that BRM along with the HPV E2 protein regulates the expression of the transforming HPV proteins E6/E7. Unlike other polymorphisms which impart cancer risk and are fixed (cannot be changed), the fact that BRM silencing is reversible by compounds such as Flavonoids and certain NSAIDs, the cancer risk imparted by these polymorphisms can, in theory, be reversed or nullified by changes in diet, thereby making these polymorphisms unique in this respect. As BRM polymorphisms and BRM expression is also tied to differentiation and cell adhesion, these polymorphisms are also predictive of a worse clinical outcome with a hazard ratio ranging from 3 to 10 in pancreatic, head/neck, lung, colon and esophageal cancers. Thus, BRM polymorphisms represent a novel factor which is predictive of cancer risk and clinical outcome in multiple cancer types. Furthermore, these polymorphisms can potentially explain the observed health disparities (higher lung cancer occurrence despite lower rate of tobacco usage) which occur in African Americans. Citation Format: Suhdir Rai, Jennifer Wang, Kit Man Wong, Xiaoping Qiu, Geoff Liu, David Reisman. BRM polymorphisms, part of a novel epigenetic mechanism, are predictive of cancer risk and clinic outcome in multiple cancer types. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr A24.
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