TY - JOUR
T1 - The landscape of genomic alterations across childhood cancers
AU - AUTHOR GROUP
AU - Gröbner, Susanne N.
AU - Worst, Barbara C.
AU - Weischenfeldt, Joachim
AU - Buchhalter, Ivo
AU - Kleinheinz, Kortine
AU - Rudneva, Vasilisa A.
AU - Johann, Pascal D.
AU - Balasubramanian, Gnana Prakash
AU - Segura-Wang, Maia
AU - Brabetz, Sebastian
AU - Bender, Sebastian
AU - Hutter, Barbara
AU - Sturm, Dominik
AU - Pfaff, Elke
AU - Hübschmann, Daniel
AU - Zipprich, Gideon
AU - Heinold, Michael
AU - Eils, Jürgen
AU - Lawerenz, Christian
AU - Erkek, Serap
AU - Lambo, Sander
AU - Waszak, Sebastian
AU - Blattmann, Claudia
AU - Borkhardt, Arndt
AU - Kuhlen, Michaela
AU - Eggert, Angelika
AU - Fulda, Simone
AU - Gessler, Manfred
AU - Wegert, Jenny
AU - Kappler, Roland
AU - Baumhoer, Daniel
AU - Burdach, Stefan
AU - Kirschner-Schwabe, Renate
AU - Kontny, Udo
AU - Kulozik, Andreas E.
AU - Lohmann, Dietmar
AU - Hettmer, Simone
AU - Eckert, Cornelia
AU - Bielack, Stefan
AU - Nathrath, Michaela
AU - Niemeyer, Charlotte
AU - Richter, Günther H.
AU - Schulte, Johannes
AU - Siebert, Reiner
AU - Westermann, Frank
AU - Molenaar, Jan J.
AU - Vassal, Gilles
AU - Koster, Jan
AU - Zwijnenburg, Danny A.
AU - Kool, Marcel
PY - 2018
Y1 - 2018
N2 - Pan-cancer analyses that examine commonalities and differences among various cancer types have emerged as a powerful way to obtain novel insights into cancer biology. Here we present a comprehensive analysis of genetic alterations in a pan-cancer cohort including 961 tumours from children, adolescents, and young adults, comprising 24 distinct molecular types of cancer. Using a standardized workflow, we identified marked differences in terms of mutation frequency and significantly mutated genes in comparison to previously analysed adult cancers. Genetic alterations in 149 putative cancer driver genes separate the tumours into two classes: small mutation and structural/copy-number variant (correlating with germline variants). Structural variants, hyperdiploidy, and chromothripsis are linked to TP53 mutation status and mutational signatures. Our data suggest that 7-8% of the children in this cohort carry an unambiguous predisposing germline variant and that nearly 50% of paediatric neoplasms harbour a potentially druggable event, which is highly relevant for the design of future clinical trials
AB - Pan-cancer analyses that examine commonalities and differences among various cancer types have emerged as a powerful way to obtain novel insights into cancer biology. Here we present a comprehensive analysis of genetic alterations in a pan-cancer cohort including 961 tumours from children, adolescents, and young adults, comprising 24 distinct molecular types of cancer. Using a standardized workflow, we identified marked differences in terms of mutation frequency and significantly mutated genes in comparison to previously analysed adult cancers. Genetic alterations in 149 putative cancer driver genes separate the tumours into two classes: small mutation and structural/copy-number variant (correlating with germline variants). Structural variants, hyperdiploidy, and chromothripsis are linked to TP53 mutation status and mutational signatures. Our data suggest that 7-8% of the children in this cohort carry an unambiguous predisposing germline variant and that nearly 50% of paediatric neoplasms harbour a potentially druggable event, which is highly relevant for the design of future clinical trials
U2 - https://doi.org/10.1038/nature25480
DO - https://doi.org/10.1038/nature25480
M3 - Article
C2 - 29489754
SN - 0028-0836
VL - 555
SP - 321
EP - 327
JO - NATURE
JF - NATURE
ER -