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Updated: Sep 4, 2025

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
Starfish infers signatures of complex genomic rearrangements across human cancers
Lisui Bao1,2, Xiaoming Zhong1, Yang Yang1
1Ben May Department for Cancer Research, University of Chicago, Chicago, IL, USA.
Abstract:
Complex genomic rearrangements (CGRs) are common in cancer and are known to form via two aberrant cellular structures-micronuclei and chromatin bridges. However, which of these mechanisms is more relevant to CGR formation in cancer and whether there are other undiscovered mechanisms remain unknown. Here we developed a computational algorithm, 'Starfish', to analyze 2,014 CGRs from 2,428 whole-genome-sequenced (WGS) tumors and discovered six CGR signatures based on their copy number and breakpoint patterns. Extensive benchmarking showed that our CGR signatures are highly accurate and biologically meaningful. Three signatures can be attributed to known biological processes-micronuclei- and chromatin-bridge-induced chromothripsis and circular extrachromosomal DNA. Over half of the CGRs belong to the remaining three signatures, not reported previously. A unique signature, which we named 'hourglass chromothripsis', with localized breakpoints and a low amount of DNA loss, is abundant in prostate cancer. Hourglass chromothripsis is associated with mutant SPOP, which may induce genome instability.
Insights
Researchers identified new mechanisms driving complex genomic rearrangements (CGRs) in cancer using the Starfish algorithm. This discovery sheds light on cancer genome instability and potential therapeutic targets.
Area of Science:
- Genomics
- Cancer Biology
- Computational Biology
Background:
- Complex genomic rearrangements (CGRs) are frequent in cancer.
- CGRs are thought to arise from micronuclei and chromatin bridges, but other mechanisms may exist.
Purpose of the Study:
- To investigate the mechanisms of CGR formation in cancer.
- To discover novel CGR signatures and their underlying biological processes.
Main Methods:
- Development of a computational algorithm, 'Starfish'.
- Analysis of 2,014 CGRs from 2,428 whole-genome-sequenced (WGS) tumors.
- Identification of CGR signatures based on copy number and breakpoint patterns.
Main Results:
- Six distinct CGR signatures were discovered, with high accuracy and biological relevance.
- Three signatures align with known mechanisms: micronuclei, chromatin bridges, and circular extrachromosomal DNA.
- Three novel signatures were identified, accounting for over half of the analyzed CGRs.
- A new mechanism, 'hourglass chromothripsis', characterized by localized breakpoints and minimal DNA loss, was found to be prevalent in prostate cancer and associated with mutant SPOP.
Conclusions:
- The Starfish algorithm provides a powerful tool for dissecting CGR formation.
- Novel mechanisms contribute significantly to cancer genome instability.
- Hourglass chromothripsis represents a distinct CGR mechanism potentially driven by SPOP mutations in prostate cancer.
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