Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.

Paper Info

Title
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.

Abstract
The discovery of drivers of cancer has traditionally focused on protein-coding genes(1-4). Here we present analyses of driver point mutations and structural variants in non-coding regions across 2,658 genomes from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium(5) of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). For point mutations, we developed a statistically rigorous strategy for combining significance levels from multiple methods of driver discovery that overcomes the limitations of individual methods. For structural variants, we present two methods of driver discovery, and identify regions that are significantly affected by recurrent breakpoints and recurrent somatic juxtapositions. Our analyses confirm previously reported drivers(6,7), raise doubts about others and identify novel candidates, including point mutations in the 5' region of TP53, in the 3' untranslated regions of NFKBIZ and TOB1, focal deletions in BRD4 and rearrangements in the loci of AKR1C genes. We show that although point mutations and structural variants that drive cancer are less frequent in non-coding genes and regulatory sequences than in protein-coding genes, additional examples of these drivers will be found as more cancer genomes become available.

Authors (94 rows)

Cited by (0 rows)

References (0 rows)

Name	Order	Citations	PageRank
Esther Rheinbay	1	0	0.34
Morten Muhlig Nielsen	2	1	1.11
Federico Abascal	3	0	0.34
Jeremiah A Wala	4	0	0.34
Ofer Shapira	5	0	0.34
Grace Tiao	6	0	0.34
Henrik Hornshøj	7	0	0.34
Julian M Hess	8	0	0.34
Randi Istrup Juul	9	0	0.34
Ziao Lin	10	0	0.34
Lars Feuerbach	11	9	1.85
Radhakrishnan Sabarinathan	12	0	0.34
Tobias Madsen	13	2	1.81
Jaegil Kim	14	0	0.34
Loris Mularoni	15	0	0.34
Shimin Shuai	16	0	0.34
Andrés Lanzós	17	0	0.34
Carl Herrmann	18	129	10.38
Yosef E. Maruvka	19	1	1.09
Ciyue Shen	20	0	0.34
Samirkumar B Amin	21	0	0.34
Pratiti Bandopadhayay	22	0	0.34
Johanna Bertl	23	0	0.34
Keith A Boroevich	24	0	0.34
John Busanovich	25	0	0.34
Joana Carlevaro-Fita	26	0	0.34
Dimple Chakravarty	27	0	0.34
Calvin Wing Yiu Chan	28	0	0.34
David Craft	29	0	0.34
Priyanka Dhingra	30	0	0.34
Klev Diamanti	31	1	0.68
Nuno A Fonseca	32	0	0.34
Abel Gonzalez-Perez	33	0	0.34
Qianyun Guo	34	1	1.11
Mark P Hamilton	35	0	0.34
Nicholas J Haradhvala	36	0	0.34
Chen Hong	37	0	0.34
Keren Isaev	38	0	0.34
Todd A Johnson	39	0	0.34
Malene Juul	40	0	0.34
Andre Kahles	41	0	0.34
Abdullah Kahraman	42	0	0.34
Youngwook Kim	43	0	0.34
Jan Komorowski	44	0	0.34
Kiran Kumar	45	0	0.34
Sushant Kumar	46	0	0.34
Donghoon Lee	47	1	2.65
Kjong-Van Lehmann	48	0	0.34
Yilong Li	49	0	0.34
Eric Minwei Liu	50	0	0.34