bioRxivCancer BiologyPreprint
Somatic Evolution Introduces Distinctive Changes in Proteome Composition in Cancer Types
Abstract
On the proteome level, somatic evolution in cancer is asymmetric, with several amino acids being irreversibly lost and the others gained across cancer types. However, though the gains and losses of amino acids are consistent in multiple cancer types, their magnitudes and prevalences differ. Here, we analyzed data on circa three million amino acid substitutions in the Catalogue of Somatic Mutations in Cancer (COSMIC) database to investigate profiles of gains and losses of amino acids in 23 human cancer types. We found characteristic differences in amino acid gain/loss profiles in the cancer types, with several of them demonstrating very specific profiles of proteome alterations associated with distinct endogenous or exogenous factors.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Prominent Features Of The Amino Acid Mutation Landscape In Cancer
Zachary A. Szpiech, Nicolas B. Strauli, … Ryan D. Hernandez·PLoS ONEPeer-reviewed·Aug 24, 2017
- Computational investigation of missense somatic mutations in cancer and potential links to pH-dependence and proteostasis
Shalaw R. Sallah, Jim Warwicker·PLoS ONEPeer-reviewed·Nov 19, 2024
- Amino acid substitutomics: profiling amino acid substitutions at proteomic scale unveils biological implication and escape mechanism in cancer
Peize Zhao, Shengzhi Lai, … Weichuan Yu·bioRxiv·Nov 18, 2024
- Convergent Usage of Amino Acids in Human Cancers as a Reversed Process of Tissue Development
Yikai Luo, Han Liang·Genomics Proteomics & BioinformaticsPeer-reviewed·Sep 4, 2021
- Mutational processes of tobacco smoking and APOBEC activity generate protein-truncating mutations in cancer genomes
N. Adler, A. T. Bahcheli, … J. Reimand·bioRxiv·Mar 19, 2023
- Pan-cancer scale landscape of simple somatic mutations
Nan Zhou, Blanca Gallego, … Guy Tsafnat·bioRxiv·Feb 28, 2017