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Panorama: a database for the oncogenic evaluation of somatic mutations in pan-cancer
Seung-Jin Park1, Seon-Young Kim1,2
1Korea Research Institute of Bioscience and Biotechnology, Daejeon 34131, Republic of Korea.
Abstract:
Somatic mutations, key alterations in cancer development, exert differential effects across tissues and biological layers, such as transcriptomes, proteomes, and post-translational modifications (PTMs). Although previous pan-cancer studies have characterized the molecular landscape of cancer, the effects of individual somatic mutations across different tissues remain insufficiently explored. Here, we developed Panorama to evaluate the oncogenic potential of single somatic mutations across all cancer types. We collected cancer proteogenomics or multiomics data from over 10 000 individuals across 19 cancer types. Based on five evaluation criteria, we assessed whether a specific mutation affects the abundance of a particular gene's transcriptome, proteome, or phosphoproteome; the tumor microenvironment; specific RNA- or protein-based signaling pathways; and outlier-level overexpression of PTMs, aiding in potential drug target identification. By leveraging five oncogenic metrics, Panorama quantifies the oncogenic potential of individual somatic mutations and provides a framework for identifying driver mutations by incorporating their downstream effects. With Panorama, researchers can integrate cancer proteogenomics data, providing a comprehensive approach that enhances our understanding of single somatic mutations in specific tissues. Finally, Panorama was developed as a web-based database to ensure easy access for researchers and is freely available at http://139.150.65.64:8080/or https://github.com/prosium/panorama.
Insights
Panorama quantifies the oncogenic potential of single somatic mutations across all cancer types. This tool integrates proteogenomics data to identify driver mutations and potential drug targets, enhancing cancer research.
Area of Science:
- Oncology
- Genomics
- Proteomics
Background:
- Somatic mutations drive cancer development but their tissue-specific effects are understudied.
- Previous pan-cancer studies have provided broad molecular landscapes but lacked focus on individual mutation impacts.
- Understanding single somatic mutation effects across diverse tissues is crucial for targeted therapies.
Purpose of the Study:
- To develop Panorama, a novel framework for evaluating the oncogenic potential of individual somatic mutations.
- To assess mutation impacts on transcriptomes, proteomes, phosphoproteomes, tumor microenvironment, and signaling pathways.
- To identify potential drug targets by analyzing downstream effects of somatic mutations.
Main Methods:
- Collected and analyzed proteogenomics/multiomics data from over 10,000 cancer patients across 19 cancer types.
- Developed five evaluation criteria to assess mutation effects on molecular layers and biological processes.
- Utilized five oncogenic metrics to quantify mutation potential and identify driver mutations.
Main Results:
- Panorama successfully quantifies the oncogenic potential of single somatic mutations.
- The framework integrates downstream effects, providing a comprehensive view of mutation impact.
- Identified potential drug targets through analysis of mutation-driven alterations.
Conclusions:
- Panorama offers a robust framework for understanding somatic mutations in specific tissues.
- The tool enhances the integration of cancer proteogenomics data for deeper insights.
- Panorama is a freely accessible web-based database for the research community.
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