Integrative epigenetic and genetic pan-cancer somatic alteration portraits.
Integrative epigenetic and genetic pan-cancer somatic alteration portraits.
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DOI:
10.1080/15592294.2017.1319043
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发表时间:
2017-07-03
期刊:
影响因子:
3.7
通讯作者:
Christensen BC
中科院分区:
文献类型:
--
作者:
Salas LA;Johnson KC;Koestler DC;O'Sullivan DE;Christensen BC
Genetic and epigenetic alterations are required for carcinogenesis and the mutation burden across tumor types has been investigated. Here, we investigate epigenetic alterations with a novel measure of global DNA methylation dysregulation, the methylation dysregulation index (MDI), across 14 cancer types in The Cancer Genome Atlas (TCGA) database. DNA methylation data—obtained using Illumina HumanMethylation450 BeadChip—was accessed from TCGA. We calculated the MDI in 14 tumor types (n = 5,592 tumors), using adjacent normal tissues (n = 701) from each tumor site. Copy number alteration, and mutation burden were retrieved from cBioportal (n = 5,152). We tested the relation of subject MDI across tumors and with age, gender, tumor stage, estimated tumor purity, and copy number alterations for both overall MDI and genomic-context-specific MDI. We also investigated the top most dysregulated loci shared across tumor types. There was a broad range of extent in methylation dysregulation across tumor types (P < 2.2E-16). However, a consistent pattern of methylation dysregulation stratified by genomic context was observed across tumor types where the highest dysregulation occurred at non-CpG island regions. Considering other summary measures of somatic alteration, MDI was correlated with copy number alterations but not with mutation burden. Using the top dysregulated CpG sites in common across tumors, 4 classes of cancer types were observed, and the functional consequences of these alterations to gene expression were confirmed. This work identified the global DNA methylation dysregulation patterns across 14 cancer types showing a higher impact for the non-CpG island areas. The most dysregulated loci across cancer types identified common clusters across cancer types that may have implications for future treatment and prevention measures.
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影响因子:
4.5
作者:
Christensen BC;Houseman EA;Marsit CJ;Zheng S;Wrensch MR;Wiemels JL;Nelson HH;Karagas MR;Padbury JF;Bueno R;Sugarbaker DJ;Yeh RF;Wiencke JK;Kelsey KT
通讯作者:
Kelsey KT
影响因子:
7.3
作者:
Gao J;Aksoy BA;Dogrusoz U;Dresdner G;Gross B;Sumer SO;Sun Y;Jacobsen A;Sinha R;Larsson E;Cerami E;Sander C;Schultz N
通讯作者:
Schultz N
影响因子:
64.5
作者:
Cancer Genome Atlas Research Network
通讯作者:
Cancer Genome Atlas Research Network
影响因子:
64.8
作者:
通讯作者:
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影响因子:
64.5
作者:
Cancer Genome Atlas Research Network
通讯作者:
Cancer Genome Atlas Research Network