Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing
By I. Cortés-Ciriano, J. Lee, Ruibin Xi, D. Jain, Y. L. Jung, Lixing Yang, Dmitry A. Gordenin, L. Klimczak, Cheng-Zhong Zhang, D. Pellman and 66 more. Nature Genetics, 2018
609 citations recorded by the source corpus.
Chromothripsis is a mutational phenomenon characterized by massive, clustered genomic rearrangements that occurs in cancer and other diseases. Recent studies in selected cancer types have suggested that chromothripsis may be more common than initially inferred from low-resolution copy-number data. Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA), we analyze patterns of chromothripsis across 2,658 tumors from 38 cancer types using whole-genome sequencing data. We find that chromothripsis events are pervasive across cancers, with a frequency of more than 50% in several cancer types. Whereas canonical chromothripsis profiles display oscillations between two copy-number states, a considerable fraction of events involve multiple chromosomes and additional structural alterations. In addition to non-homologous end joining, we detect signatures of replication-associated processes and templated insertions. Chromothripsis contributes to oncogene amplification and to inactivation of genes such as mismatch-repair-related genes. These findings show that chromothripsis is a major process that drives genome evolution in human cancer. Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.
Subfields: Cancer Research, Genetics
View Paper: https://www.semanticscholar.org/paper/b2a63c3caeb1a71cf7b3719538b8cd4516e9e192
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cancer Research
In Genetics
Citations in the corpus
- Pan-cancer analysis of whole genomes (2020, background): “A comprehensive suite of companion papers that describe the analyses and discoveries across these thematic areas is copublished with this paper 4–18 (Extended Data Table 3).”
- Patterns of somatic structural variation in human cancer genomes (2020, neutral): “Liver−HCC (312) Lymph−BNHL (107) Kidney−ChRCC (43) Panc−Endocrine (81) Biliary−AdenoCA (33) SoftTissue−Leiomyo (15) Lung−AdenoCA (37) Skin−Melanoma (106) Uterus−AdenoCA (42) Panc−AdenoCA (230) Breast−AdenoCA (192) Cervix−SCC (18) Lung−SCC (47) Head−SCC (56) Bone−Osteosarc (34) Ovary−AdenoCA (109) Es”