Kelley Dylan Z, Flam Emily L, Izumchenko Evgeny, Danilova Ludmila V, Wulf Hildegard A, Guo Theresa, Singman Dzov A, Afsari Bahman, Skaist Alyza M, Considine Michael, Welch Jane A, Stavrovskaya Elena, Bishop Justin A, Westra William H, Khan Zubair, Koch Wayne M, Sidransky David, Wheelan Sarah J, Califano Joseph A, Favorov Alexander V, Fertig Elana J, Gaykalova Daria A
Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Cancer Res. 2017 Dec 1;77(23):6538-6550. doi: 10.1158/0008-5472.CAN-17-0833. Epub 2017 Sep 25.
Chromatin alterations mediate mutations and gene expression changes in cancer. Chromatin immunoprecipitation followed by sequencing (ChIP-Seq) has been utilized to study genome-wide chromatin structure in human cancer cell lines, yet numerous technical challenges limit comparable analyses in primary tumors. Here we have developed a new whole-genome analytic pipeline to optimize ChIP-Seq protocols on patient-derived xenografts from human papillomavirus-related (HPV) head and neck squamous cell carcinoma (HNSCC) samples. We further associated chromatin aberrations with gene expression changes from a larger cohort of the tumor and normal samples with RNA-Seq data. We detect differential histone enrichment associated with tumor-specific gene expression variation, sites of HPV integration in the human genome, and HPV-associated histone enrichment sites upstream of cancer driver genes, which play central roles in cancer-associated pathways. These comprehensive analyses enable unprecedented characterization of the complex network of molecular changes resulting from chromatin alterations that drive HPV-related tumorigenesis. .
染色质改变介导癌症中的突变和基因表达变化。染色质免疫沉淀测序(ChIP-Seq)已被用于研究人类癌细胞系中的全基因组染色质结构,但众多技术挑战限制了在原发性肿瘤中的可比分析。在此,我们开发了一种新的全基因组分析流程,以优化来自人乳头瘤病毒相关(HPV)头颈部鳞状细胞癌(HNSCC)样本的患者来源异种移植瘤上的ChIP-Seq方案。我们进一步将染色质畸变与来自更大队列的肿瘤和正常样本的RNA-Seq数据中的基因表达变化相关联。我们检测到与肿瘤特异性基因表达变异、人类基因组中HPV整合位点以及癌症驱动基因上游的HPV相关组蛋白富集位点相关的差异组蛋白富集,这些在癌症相关途径中起核心作用。这些全面分析使得能够以前所未有的方式表征由驱动HPV相关肿瘤发生的染色质改变所导致的复杂分子变化网络。