Universal Patterns of Selection in Cancer and Somatic Tissues.
Universal Patterns of Selection in Cancer and Somatic Tissues.
复制标题
DOI:
10.1016/j.cell.2017.09.042
复制
发表时间:
2017-11-16
期刊:
影响因子:
64.5
通讯作者:
Campbell PJ
中科院分区:
文献类型:
--
作者:
Martincorena I;Raine KM;Gerstung M;Dawson KJ;Haase K;Van Loo P;Davies H;Stratton MR;Campbell PJ
Cancer develops as a result of somatic mutation and clonal selection, but quantitative measures of selection in cancer evolution are lacking. We adapted methods from molecular evolution and applied them to 7,664 tumors across 29 cancer types. Unlike species evolution, positive selection outweighs negative selection during cancer development. On average, <1 coding base substitution/tumor is lost through negative selection, with purifying selection almost absent outside homozygous loss of essential genes. This allows exome-wide enumeration of all driver coding mutations, including outside known cancer genes. On average, tumors carry ∼4 coding substitutions under positive selection, ranging from <1/tumor in thyroid and testicular cancers to >10/tumor in endometrial and colorectal cancers. Half of driver substitutions occur in yet-to-be-discovered cancer genes. With increasing mutation burden, numbers of driver mutations increase, but not linearly. We systematically catalog cancer genes and show that genes vary extensively in what proportion of mutations are drivers versus passengers. Unlike the germline, somatic cells evolve predominantly by positive selection Nearly all (∼99%) coding mutations are tolerated and escape negative selection Exome-wide estimates of the total number of driver coding mutations per tumor Half of the coding driver mutations occur outside of known cancer genes Adapting an evolutionary genomics approach to cancer highlights a limited impact of negative selection on cancer genomes and significant variations in the proportion of coding driver mutations per tumor among different tumor types.
登录
查看更多内容
影响因子:
64.5
作者:
Haradhvala NJ;Polak P;Stojanov P;Covington KR;Shinbrot E;Hess JM;Rheinbay E;Kim J;Maruvka YE;Braunstein LZ;Kamburov A;Hanawalt PC;Wheeler DA;Koren A;Lawrence MS;Getz G
通讯作者:
Getz G
影响因子:
56.9
作者:
Blomen, Vincent A.;Majek, Peter;Brummelkamp, Thijn R.
通讯作者:
Brummelkamp, Thijn R.
影响因子:
3.5
作者:
Church DN;Briggs SE;Palles C;Domingo E;Kearsey SJ;Grimes JM;Gorman M;Martin L;Howarth KM;Hodgson SV;NSECG Collaborators;Kaur K;Taylor J;Tomlinson IP
通讯作者:
Tomlinson IP
影响因子:
56.9
作者:
Galloway, Alison;Saveliev, Alexander;Turner, Martin
通讯作者:
Turner, Martin
影响因子:
82.9
作者:
Hanse, Ronald J.;Pritchard, Colin C.;Salipante, Stephen J.
通讯作者:
Salipante, Stephen J.