DNA Methylation Patterns Separate Senescence from Transformation Potential and Indicate Cancer Risk.
DNA Methylation Patterns Separate Senescence from Transformation Potential and Indicate Cancer Risk.
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DOI:
10.1016/j.ccell.2018.01.008
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发表时间:
2018-02-12
期刊:
影响因子:
50.3
通讯作者:
Easwaran H
中科院分区:
文献类型:
--
作者:
Xie W;Kagiampakis I;Pan L;Zhang YW;Murphy L;Tao Y;Kong X;Kang B;Xia L;Carvalho FLF;Sen S;Chiu Yen RW;Zahnow CA;Ahuja N;Baylin SB;Easwaran H
Overall shared DNA methylation patterns between senescence (Sen) and cancers have led to the model that tumor promoting epigenetic patterns arise through senescence. We show that transformation-associated methylation changes arise stochastically and independently of programmatic changes during senescence. Promoter-hypermethylation events in transformation involve primarily pro-survival and developmental genes, similarly modified in primary tumors. Senescence-associated hypermethylation mainly involve metabolic regulators, appears early in proliferating “near-senescent” cells which can be immortalized but are refractory to transformation. Importantly, a subset of transformation-associated hypermethylated developmental genes exhibits highest methylation gains at all age-associated cancer risk states across tissue-types. These epigenetic changes favoring cell self-renewal and survival, arising during tissue aging, are fundamentally important for stratifying cancer risk and concepts for cancer prevention. Xie et al. show that transformation-associated methylation changes arise stochastically and evolve independently of senescence. A subset of transformation-associated hypermethylated genes favoring cell self-renewal and survival exhibits highest methylation gains during aging and early tumorigenesis.
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影响因子:
64.8
作者:
Bartkova, Jirina;Rezaei, Nousin;Gorgoulis, Vassilis G.
通讯作者:
Gorgoulis, Vassilis G.
影响因子:
3.7
作者:
HAYFLICK, L;MOORHEAD, PS
通讯作者:
MOORHEAD, PS
DOI:
10.1073/pnas.92.20.9363
发表时间:
1995-09-26
影响因子:
11.1
作者:
DIMRI, GP;LEE, XH;CAMPISI, J
通讯作者:
CAMPISI, J
影响因子:
7
作者:
Easwaran, Hariharan;Johnstone, Sarah E.;Baylin, Stephen B.
通讯作者:
Baylin, Stephen B.
影响因子:
9.8
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Bossuyt W;Kazanjian A;De Geest N;Van Kelst S;De Hertogh G;Geboes K;Boivin GP;Luciani J;Fuks F;Chuah M;VandenDriessche T;Marynen P;Cools J;Shroyer NF;Hassan BA
通讯作者:
Hassan BA