s41586-020-1965-x.pdf (14.39 MB)
Analyses of non-coding somatic drivers in 2,658 cancer whole genomes.
journal contributionposted on 2023-09-22, 10:24 authored by Esther Rheinbay, Morten Muhlig Nielsen, Federico Abascal, Jeremiah A Wala, Ofer Shapira, Grace Tiao, Henrik Hornshøj, Julian M Hess, Randi Istrup Juul, Ziao Lin, Lars Feuerbach, Radhakrishnan Sabarinathan, Tobias Madsen, Jaegil Kim, Loris Mularoni, Shimin Shuai, Andrés Lanzós, Carl Herrmann, Yosef E Maruvka, Ciyue Shen, Samirkumar B Amin, Pratiti Bandopadhayay, Johanna Bertl, Keith A Boroevich, John Busanovich, Joana Carlevaro-Fita, Dimple Chakravarty, Calvin Wing Yiu Chan, David Craft, Priyanka Dhingra, Klev Diamanti, Nuno A Fonseca, Abel Gonzalez-Perez, Qianyun Guo, Mark P Hamilton, Nicholas J Haradhvala, Chen Hong, Keren Isaev, Todd A Johnson, Malene Juul, Andre Kahles, Abdullah Kahraman, Youngwook Kim, Jan Komorowski, Kiran Kumar, Sushant Kumar, Donghoon Lee, Kjong-Van Lehmann, Yilong Li, Eric Minwei Liu, Lucas Lochovsky, Keunchil Park, Oriol Pich, Nicola D Roberts, Gordon Saksena, Steven E Schumacher, Nikos Sidiropoulos, Lina Sieverling, Nasa Sinnott-Armstrong, Chip Stewart, David Tamborero, Jose MC Tubio, Husen M Umer, Liis Uusküla-Reimand, Claes Wadelius, Lina Wadi, Xiaotong Yao, Cheng-Zhong Zhang, Jing Zhang, James E Haber, Asger Hobolth, Marcin Imielinski, Manolis Kellis, Michael S Lawrence, Christian von Mering, Hidewaki Nakagawa, Benjamin J Raphael, Mark A Rubin, Chris Sander, Lincoln D Stein, Joshua M Stuart, Tatsuhiko Tsunoda, David A Wheeler, Rory Johnson, Jüri Reimand, Mark Gerstein, Ekta Khurana, Peter J Campbell, Núria López-Bigas, PCAWG Drivers and Functional Interpretation Working Group, PCAWG Structural Variation Working Group, Joachim Weischenfeldt, Rameen Beroukhim, Iñigo Martincorena, Jakob Skou Pedersen, Gad Getz, PCAWG Consortium
The discovery of drivers of cancer has traditionally focused on protein-coding genes1-4. 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) Consortium5 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 drivers6,7, 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.
Crick (Grant ID: 10202, Grant title: Van Loo FC001202)
Databases, GeneticDNA BreaksGene Expression Regulation, NeoplasticGenome, HumanGenome-Wide Association StudyHumansINDEL MutationMutationNeoplasmsPCAWG Drivers and Functional Interpretation Working GroupPCAWG Structural Variation Working GroupPCAWG ConsortiumVan Loo FC001202Jones - secGeneral Science & Technology