Jarvis Matthew C, Ebrahimi Diako, Temiz Nuri A, Harris Reuben S
Masonic Cancer Center (MCJ, DE, NAT, RSH), Center for Genome Engineering (MCJ, DE, RSH), Department of Biochemistry, Molecular Biology, and Biophysics (MCJ, DE, RSH), Institute for Molecular Virology (MCJ, DE, RSH), Institute for Health Informatics (NAT), Howard Hughes Medical Institute (RSH), University of Minnesota, Minneapolis, MN, USA.
JNCI Cancer Spectr. 2018 Jan;2(1). doi: 10.1093/jncics/pky002. Epub 2018 Mar 17.
Multiple endogenous and exogenous sources of DNA damage contribute to the overall mutation burden in cancer, with distinct and overlapping combinations contributing to each cancer type. Many mutation sources result in characteristic mutation signatures, which can be deduced from tumor genomic DNA sequences. Examples include spontaneous hydrolytic deamination of methyl-cytosine bases in CG motifs (AGEING signature) and C-to-T and C-to-G mutations in 5'-TC(A/T) motifs (APOBEC signature).
The deconstructSigs R package was used to analyze single base substitution mutation signatures in over 1000 cancer cell lines. Two additional approaches were used to analyze the APOBEC mutation signature.
Most cell lines show evidence for multiple mutation signatures. For instance, the AGEING signature, which is the largest source of mutation in most primary tumors, predominates in the majority of cancer cell lines. The APOBEC mutation signature is enriched in cancer cell lines from breast, lung, head/neck, bladder, and cervical cancers, where this signature also comprises a large fraction of all mutations.
The single base substitution mutation signatures of cancer cell lines often reflect those of the original tumors from which they are derived. Cancer cell lines with enrichments for distinct mutation signatures such as APOBEC have the potential to become model systems for fundamental research on the underlying mechanisms and for advancing clinical strategies to exploit these processes.
多种内源性和外源性DNA损伤来源导致了癌症中的总体突变负担,不同且相互重叠的组合对每种癌症类型都有影响。许多突变来源会产生特征性的突变特征,这些特征可以从肿瘤基因组DNA序列中推导出来。例如,CG基序中甲基胞嘧啶碱基的自发水解脱氨(衰老特征)以及5'-TC(A/T)基序中的C到T和C到G突变(载脂蛋白B mRNA编辑酶催化多肽样蛋白特征)。
使用deconstructSigs R软件包分析1000多个癌细胞系中的单碱基替换突变特征。另外两种方法用于分析载脂蛋白B mRNA编辑酶催化多肽样蛋白突变特征。
大多数细胞系显示出多种突变特征的证据。例如,衰老特征是大多数原发性肿瘤中最大的突变来源,在大多数癌细胞系中占主导地位。载脂蛋白B mRNA编辑酶催化多肽样蛋白突变特征在来自乳腺癌、肺癌、头颈癌、膀胱癌和宫颈癌的癌细胞系中富集,在这些细胞系中该特征也占所有突变的很大一部分。
癌细胞系的单碱基替换突变特征通常反映了它们所源自的原始肿瘤的特征。富含载脂蛋白B mRNA编辑酶催化多肽样蛋白等独特突变特征的癌细胞系有潜力成为基础机制研究和推进利用这些过程的临床策略的模型系统。