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Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
Published on: April 26, 2017
The Functional Impact of Alternative Splicing in Cancer
Héctor Climente-González1, Eduard Porta-Pardo2, Adam Godzik3
1Computational RNA Biology Group, Pompeu Fabra University (UPF), 08003 Barcelona, Spain; MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, 77300 Fontainebleau, France; Institut Curie, 75248 Paris Cedex, France; INSERM U900, 75248 Paris Cedex, France.
Abstract:
Alternative splicing changes are frequently observed in cancer and are starting to be recognized as important signatures for tumor progression and therapy. However, their functional impact and relevance to tumorigenesis remain mostly unknown. We carried out a systematic analysis to characterize the potential functional consequences of alternative splicing changes in thousands of tumor samples. This analysis revealed that a subset of alternative splicing changes affect protein domain families that are frequently mutated in tumors and potentially disrupt protein-protein interactions in cancer-related pathways. Moreover, there was a negative correlation between the number of these alternative splicing changes in a sample and the number of somatic mutations in drivers. We propose that a subset of the alternative splicing changes observed in tumors may represent independent oncogenic processes that could be relevant to explain the functional transformations in cancer, and some of them could potentially be considered alternative splicing drivers (AS drivers).
Insights
Alternative splicing changes in cancer may drive tumor development independently of traditional mutations. Some splicing alterations could act as novel cancer drivers, offering new therapeutic targets.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Alternative splicing alterations are common in cancer and are emerging as significant indicators of tumor progression and treatment response.
- The functional implications and direct role of these splicing changes in tumorigenesis are not yet fully understood.
Purpose of the Study:
- To systematically analyze the functional consequences of alternative splicing changes across numerous cancer types.
- To investigate the relationship between alternative splicing events and somatic mutations in cancer driver genes.
Main Methods:
- Performed a large-scale computational analysis of alternative splicing patterns in thousands of tumor samples.
- Examined the overlap between alternatively spliced protein domains and frequently mutated domains in cancer.
- Assessed correlations between alternative splicing events and somatic mutations in known cancer drivers.
Main Results:
- Identified a subset of alternative splicing changes impacting protein domains frequently mutated in cancer.
- These splicing alterations may disrupt protein-protein interactions within cancer-related pathways.
- Observed a negative correlation between the prevalence of specific alternative splicing changes and the number of somatic mutations in driver genes.
Conclusions:
- A portion of observed alternative splicing changes in tumors may represent independent oncogenic processes contributing to cancer development.
- These findings suggest that some alternative splicing events could function as novel "alternative splicing drivers" (AS drivers).
- This highlights the potential of AS events as crucial factors in cancer functional transformations and as potential therapeutic targets.
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