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起源细胞染色质组织塑造了癌症的突变景观。

Cell-of-origin chromatin organization shapes the mutational landscape of cancer.

机构信息

Division of Genetics, Department of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA, 02115.

The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

出版信息

Nature. 2015 Feb 19;518(7539):360-364. doi: 10.1038/nature14221.

Abstract

Cancer is a disease potentiated by mutations in somatic cells. Cancer mutations are not distributed uniformly along the human genome. Instead, different human genomic regions vary by up to fivefold in the local density of cancer somatic mutations, posing a fundamental problem for statistical methods used in cancer genomics. Epigenomic organization has been proposed as a major determinant of the cancer mutational landscape. However, both somatic mutagenesis and epigenomic features are highly cell-type-specific. We investigated the distribution of mutations in multiple independent samples of diverse cancer types and compared them to cell-type-specific epigenomic features. Here we show that chromatin accessibility and modification, together with replication timing, explain up to 86% of the variance in mutation rates along cancer genomes. The best predictors of local somatic mutation density are epigenomic features derived from the most likely cell type of origin of the corresponding malignancy. Moreover, we find that cell-of-origin chromatin features are much stronger determinants of cancer mutation profiles than chromatin features of matched cancer cell lines. Furthermore, we show that the cell type of origin of a cancer can be accurately determined based on the distribution of mutations along its genome. Thus, the DNA sequence of a cancer genome encompasses a wealth of information about the identity and epigenomic features of its cell of origin.

摘要

癌症是由体细胞突变引发的疾病。癌症突变在人类基因组中并非均匀分布。相反,不同的人类基因组区域中癌症体细胞突变的局部密度差异高达五倍,这给癌症基因组学中使用的统计方法带来了根本性的问题。表观基因组组织被认为是癌症突变景观的主要决定因素。然而,体细胞突变和表观基因组特征都是高度细胞类型特异性的。我们研究了多种不同癌症类型的多个独立样本中的突变分布,并将其与细胞类型特异性的表观基因组特征进行了比较。在这里,我们表明染色质可及性和修饰以及复制时间可以解释癌症基因组中突变率变化的 86%。局部体细胞突变密度的最佳预测因子是源自相应恶性肿瘤最可能起源细胞类型的表观基因组特征。此外,我们发现起源细胞的染色质特征是癌症突变谱的决定因素,比匹配的癌细胞系的染色质特征要强得多。此外,我们表明,基于基因组中突变的分布,可以准确确定癌症的起源细胞类型。因此,癌症基因组的 DNA 序列包含有关其起源细胞的身份和表观基因组特征的丰富信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/4405175/4143e8c054da/nihms-654064-f0005.jpg

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