PO.MCB06.02 · 分子与细胞生物学

印度前列腺癌患者队列中表观遗传改变的全景

The landscape of epigenetic alterations in the prostate cancer patient cohort from India

海报缩略图:印度前列腺癌患者队列中表观遗传改变的全景
编号 1963 展板 15 时间 4/20 09:00–12:00 区域 Section 22 主讲 Promit Ganguly, MS
分会场 DNA Methylation
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作者与单位 Authors & Affiliations

Promit Ganguly1, Tanay Biswas1, Atin Singhai2, Alok Srivastava3, Abhishek Chauhan4, Manzoor Ahmad5, Piyush Tripathi6, Sanjeev Mehrotra6, Anjali Tewari6, Nuzhat Husain7, Apul Goel8, Bushra Ateeq1

1Department of Biological Sciences and Bioengineering, Indian Institute of Technology Kanpur, Kanpur, India,2Department of Pathology, King George’s Medical University, Lucknow, India,3Department of Urology & Renal Transplant, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India,4Department of Radiodiagnosis, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India,5Department of Surgery, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, India,6Regency Hospital, Kanpur, India,7Department of Pathology, Dr. Ram Manohar Lohia Institute of Medical Sciences, Lucknow, India,8Department of Urology, King George’s Medical University, Lucknow, India

摘要 Abstract

中文摘要
前列腺癌(PCa)在印度男性中位居第三大最常见恶性肿瘤,由于缺乏常规筛查和意识,在印度往往在晚期才被诊断。PCa是一种高度异质性的疾病,包含多种分子亚型并表现出显著的种族差异。其进展由一系列遗传和表观遗传改变驱动,这些改变使关键基因网络和信号通路失调。印度种族PCa患者的全局分子全景一直未被阐明。因此,作为一项前瞻性研究,我们表征了印度来源PCa标本中异常的DNA甲基化模式,并对新鲜、未经治疗的PCa(N=32)、良性前列腺增生(BPH;N=7)和一例高级别前列腺上皮内瘤变肿瘤标本进行了基于Illumina EPICv2芯片的分析。我们使用Sesame流程,鉴定了PCa标本中全基因组差异甲基化位点,以了解该队列中普遍存在的表观遗传异常。我们观察到GSTP1、APC、RARB和RASSF1的调控区域存在显著高甲基化,而TDRD1、CTBP1和KLK3则表现出低甲基化。此外,与BPH相比,PCa标本中干细胞多能性信号传导和突触信号传导等关键的癌症和发育相关过程被观察到失调。另外,高甲基化的调控区域表现出AR和ERG等PCa驱动转录因子的染色质占据减少,而低甲基化区域则表现出占据增加。无监督层次聚类鉴定出一个独特的PCa患者亚群,其DNA甲基化水平升高,与其Gleason分级无关。此外,对匹配的印度PCa患者的遗传改变进行映射,将为患者分层提供框架,从而实现由独特的表观基因组和基因组异常驱动的量身定制的治疗干预。总之,我们的研究首次探索了印度PCa患者的全局表观遗传谱,同时鉴定了驱动疾病进展的关键DNA甲基化异常和失调通路,这将有助于改善PCa诊断并推进我们对PCa发病机制的理解。
查看英文原文 English abstract
Prostate cancer (PCa) ranks as the third most prevalent malignancy among men in India, where it is frequently diagnosed at its advanced stage due to a lack of routine screening and awareness. PCa is a highly heterogeneous disease, comprising multiple molecular subtypes and exhibiting significant ethnic disparities. Its progression is driven by a cascade of genetic and epigenetic alterations that dysregulate key gene networks and signaling pathways. The global molecular landscape of PCa patients of Indian ethnicity has remained unaddressed. Hence, as a prospective study, we characterized the aberrant DNA methylation pattern in PCa specimens of Indian origin and performed Illumina EPICv2 array-based profiling of fresh, treatment-naïve PCa (N=32), Benign Prostatic Hyperplasia (BPH; N=7) and one high-grade prostatic intraepithelial neoplasia tumor specimens. Using Sesame pipeline, we have identified genome-wide differentially methylated loci in PCa specimens to understand the epigenetic aberrations prevalent in this cohort. We observed significant hypermethylation in the regulatory regions of GSTP1 , APC , RARB, and RASSF1, while TDRD1 , CTBP1, and KLK3 showed hypomethylation. Moreover, key cancer and development-linked processes such as stem cells pluripotency signaling, and synaptic signaling were observed to be dysregulated in PCa specimens compared to BPH. Additionally, hypermethylated regulatory regions exhibited reduced chromatin occupancy of PCa-driving transcription factors such as AR and ERG, while hypomethylated regions showed increased occupancy. Unsupervised hierarchical clustering identified a distinct subset of PCa patients with elevated DNA methylation levels independent of their Gleason grade. Moreover, mapping genetic alterations in matched Indian PCa patients would offer a framework for patient stratification, enabling tailored therapeutic interventions driven by distinct epigenomic and genomic aberrations. In conclusion, our study for the first time, explored the global epigenetic profile of Indian PCa patients while identifying key DNA methylation aberrations and dysregulated pathways driving disease progression that would help improve PCa diagnostics and forward our understanding of PCa pathogenesis.
利益披露 Disclosure
P. Ganguly, None.. T. Biswas, None.. A. Singhai, None.. A. Srivastava, None.. A. Chauhan, None.. M. Ahmad, None.. P. Tripathi, None.. S. Mehrotra, None.. A. Tewari, None.. N. Husain, None.. A. Goel, None.. B. Ateeq, None.

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