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Published on: November 11, 2015
Identification of a signature of evolutionarily conserved stress-induced mutagenesis in cancer
Luis H Cisneros1,2, Charles Vaske1, Kimberly J Bussey1,2,3
1NantOmics, LLC, Santa Cruz, CA, United States.
Abstract:
The clustering of mutations observed in cancer cells is reminiscent of the stress-induced mutagenesis (SIM) response in bacteria. Bacteria deploy SIM when faced with DNA double-strand breaks in the presence of conditions that elicit an SOS response. SIM employs DinB, the evolutionary precursor to human trans-lesion synthesis (TLS) error-prone polymerases, and results in mutations concentrated around DNA double-strand breaks with an abundance that decays with distance. We performed a quantitative study on single nucleotide variant calls for whole-genome sequencing data from 1950 tumors, non-inherited mutations from 129 normal samples, and acquired mutations in 3 cell line models of stress-induced adaptive mutation. We introduce statistical methods to identify mutational clusters, quantify their shapes and tease out the potential mechanism that produced them. Our results show that mutations in both normal and cancer samples are indeed clustered and have shapes indicative of SIM. Clusters in normal samples occur more often in the same genomic location across samples than in cancer suggesting loss of regulation over the mutational process during carcinogenesis. Additionally, the signatures of TLS contribute the most to mutational cluster formation in both patient samples as well as experimental models of SIM. Furthermore, a measure of cluster shape heterogeneity was associated with cancer patient survival with a hazard ratio of 5.744 (Cox Proportional Hazard Regression, 95% CI: 1.824-18.09). Our results support the conclusion that the ancient and evolutionary-conserved adaptive mutation response found in bacteria is a source of genomic instability in cancer. Biological adaptation through SIM might explain the ability of tumors to evolve in the face of strong selective pressures such as treatment and suggests that the conventional 'hit it hard' approaches to therapy could prove themselves counterproductive.
Insights
Cancer mutations resemble bacterial stress-induced mutagenesis (SIM). This ancient adaptive mutation response drives genomic instability in cancer, potentially explaining tumor evolution and treatment resistance.
Area of Science:
- Genetics
- Evolutionary Biology
- Cancer Biology
Background:
- Clustering of mutations in cancer mirrors bacterial stress-induced mutagenesis (SIM).
- SIM in bacteria involves DNA double-strand breaks and the SOS response, utilizing DinB, a precursor to human trans-lesion synthesis (TLS) polymerases.
- SIM results in mutations concentrated near DNA breaks, decreasing with distance.
Purpose of the Study:
- To quantitatively investigate mutational clustering in human cancer and normal samples.
- To identify statistical methods for detecting and characterizing mutational clusters.
- To explore the mechanistic origins and evolutionary implications of these mutational patterns in cancer.
Main Methods:
- Analysis of whole-genome sequencing data from 1950 tumors and 129 normal samples.
- Development of statistical approaches to identify, quantify, and determine the shape of mutational clusters.
- Examination of 3 cell line models for stress-induced adaptive mutation.
Main Results:
- Mutations in both normal and cancer samples exhibit clustering patterns consistent with SIM.
- Normal samples show more consistent cluster locations across individuals than cancer samples, suggesting regulatory loss in cancer.
- Trans-lesion synthesis (TLS) signatures are the primary drivers of mutational cluster formation.
- Mutational cluster shape heterogeneity correlates with reduced cancer patient survival (HR=5.744).
Conclusions:
- The ancient, conserved bacterial SIM response is a source of genomic instability in human cancer.
- SIM-driven biological adaptation may enable tumor evolution under selective pressures like therapy.
- Aggressive cancer treatment strategies might be counterproductive due to promoting adaptive evolution via SIM.
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