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Chromothripsis in human cancer
Newly discovered mutational phenomenon chromothripsis is prevalent across more cancers than previously thought
Researchers at Harvard Medical School and EMBL-EBI have carried out the largest analysis across cancer types of the newly discovered mutational phenomenon chromothripsis. This study is the largest of its kind to date, containing whole-genome sequencing (WGS) data from over 2600 tumours spanning 38 different types of cancer.
Chromothripsis
Chromothripsis, or ‘chromosome shattering’, is a mutational process in which large stretches of a chromosome undergo massive rearrangements in a single catastrophic event. The chromosomal regions fragment into smaller pieces, rearrange, and rejoin, leading to a new genome configuration.
Fully understanding how these alterations drive cancer genome evolution, and what molecular mechanisms are involved in their generation, are important steps towards understanding cancer genome evolution.
This research was published in Nature Genetics as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) project, a global effort involving the international collaboration of over 1300 scientists. In this study, the researchers showed that chromothripsis events are much more common across many types of cancer than previously thought. They could also directly link chromothripsis to common hallmarks of the cancer genome, including oncogene amplification (an increase in the number of copies of a gene that can cause cancer), and the loss of tumour suppressors (genes that regulate cell growth and division).
The Pan-Cancer project
The Pan-Cancer Analysis of Whole Genomes project is a collaboration involving more than 1300 scientists and clinicians from 37 countries. It involved analysis of more than 2600 genomes of 38 different tumour types, creating a huge resource of primary cancer genomes. This was the starting point for 16 working groups to study multiple aspects of cancer development, causation, progression, and classification.
Chromothripsis prevalence in cancer
“We integrated WGS data from over 2600 tumours spanning more than 30 cancer types,” says Isidro Cortés-Ciriano, Group Leader at EMBL-EBI and a former postdoctoral researcher at Harvard Medical School. “From this we discovered that chromothripsis events and other types of complex genome rearrangements are pervasive across human cancers, with frequencies greater than 50% of tumours in some cancer types.”
Using WGS datasets gave the researchers an enhanced view of chromothripsis events in the cancer genome. Previous studies looking at the role of chromothripsis in cancer and congenital diseases often used low-resolution array-based technologies. Here the researchers were able to show that chromothripsis events are much more prevalent in cancer than previously estimated. They also characterised the patterns of massive genome alterations across cancer types, and studied the DNA repair mechanisms involved in their generation.
“This study is yet another demonstration of the power of large-scale whole-genome sequencing,” says Peter Park, Professor of Biomedical Informatics at Harvard Medical School and senior author of the paper. “It allowed us to probe the bewildering complexity of genome-shattering in cancer genomes and to characterise common features across hundreds of cases.”
Chromothripsis and cancer prognosis
“The discoveries made in this project allow us to better understand how cancer arises and evolves, as well as the patterns of alterations in the DNA of human tumours,” says Cortés-Ciriano. “Some of these alterations have strong clinical implications and could open new avenues for therapeutic development over the coming years.”
The researchers demonstrate that chromothripsis shapes the tumour genome, leading to the loss of tumour suppressor genes and amplification of oncogenes to drive cancer progression. Chromothripsis has been associated with poor prognosis for cancer patients, but continuing studies like this help us to understand the impact of chromothripsis and other large-scale genome alterations, and how they may be used for cancer diagnosis in the future.
