# Panorama: a database for the oncogenic evaluation of somatic mutations in pan-cancer

## TL;DR

Panorama is a database that evaluates how somatic mutations contribute to cancer across different tissues using multiomics data from over 10,000 individuals.

## Contribution

Panorama introduces a comprehensive framework to assess the oncogenic potential of individual somatic mutations across multiple cancer types.

## Key findings

- Panorama integrates proteogenomics data from 19 cancer types to evaluate mutation effects on transcriptomes, proteomes, and phosphoproteomes.
- The database uses five oncogenic metrics to quantify the impact of mutations on tumor microenvironments and signaling pathways.
- Panorama provides a web-based platform for researchers to access and analyze mutation-driven cancer mechanisms.

## 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.