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Updated: Mar 21, 2026
Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
Systematic analysis of somatic mutations driving cancer: uncovering functional protein regions in disease development
Bálint Mészáros1, András Zeke2, Attila Reményi2
1Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, 2 Magyar Tudósok krt, Budapest, H-1117, Hungary. meszaros.balint@ttk.mta.hu.
Background:
Recent advances in sequencing technologies enable the large-scale identification of genes that are affected by various genetic alterations in cancer. However, understanding tumor development requires insights into how these changes cause altered protein function and impaired network regulation in general and/or in specific cancer types.
Results:
In this work we present a novel method called iSiMPRe that identifies regions that are significantly enriched in somatic mutations and short in-frame insertions or deletions (indels). Applying this unbiased method to the complete human proteome, by using data enriched through various cancer genome projects, we identified around 500 protein regions which could be linked to one or more of 27 distinct cancer types. These regions covered the majority of known cancer genes, surprisingly even tumor suppressors. Additionally, iSiMPRe also identified novel genes and regions that have not yet been associated with cancer.
Conclusions:
While local somatic mutations correspond to only a subset of genetic variations that can lead to cancer, our systematic analyses revealed that they represent an accompanying feature of most cancer driver genes regardless of the primary mechanism by which they are perturbed during tumorigenesis. These results indicate that the accumulation of local somatic mutations can be used to pinpoint genes responsible for cancer formation and can also help to understand the effect of cancer mutations at the level of functional modules in a broad range of cancer driver genes.
Reviewers:
This article was reviewed by Sándor Pongor, Michael Gromiha and Zoltán Gáspári.
Insights
A new method, iSiMPRe, identifies critical protein regions altered in cancer by analyzing somatic mutations and indels. This approach aids in discovering cancer genes and understanding mutation impacts across various cancer types.
Area of Science:
- Genomics
- Proteomics
- Cancer Biology
Background:
- Sequencing technologies facilitate large-scale gene identification in cancer.
- Understanding tumor development necessitates knowledge of how genetic changes affect protein function and network regulation.
Purpose of the Study:
- To present iSiMPRe, a novel method for identifying protein regions significantly enriched in somatic mutations and short in-frame insertions or deletions (indels).
- To apply iSiMPRe to the human proteome using cancer genome project data to identify cancer-associated protein regions.
Main Methods:
- Development and application of the iSiMPRe method.
- Analysis of somatic mutations and indels across the complete human proteome.
- Integration of data from various cancer genome projects.
Main Results:
- Identification of approximately 500 protein regions linked to 27 distinct cancer types.
- These regions encompass most known cancer genes, including tumor suppressors.
- Discovery of novel cancer-associated genes and regions.
Conclusions:
- Local somatic mutations are a feature of most cancer driver genes, irrespective of the primary perturbation mechanism.
- The accumulation of local somatic mutations can pinpoint cancer-causing genes.
- This approach aids in understanding the functional module effects of cancer mutations in driver genes.
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