ArticleScientific reports2017
Somatic mutation driven codon transition bias in human cancer.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Xeroderma Pigmentosum Monozygotic Twins: Same Mutation Divergent Clinical Outcomes.Human mutation · 2026Article
- High-throughput characterization of 5886 HER2 variants identifies 112 new in cellulo gain-of-function mutations.Genomics · 2025Article
- New Gain-of-Function Mutations Prioritize Mechanisms of HER2 Activation.medRxiv : the preprint server for health sciences · 2025Article
- The structure-based cancer-related single amino acid variation prediction.Scientific reports · 2021Article
- A Crosstalk on Codon Usage in Genes Associated with Leukemia.Biochemical genetics · 2021Article
- Codon usage bias analysis of genes linked with esophagus cancer.Bioinformation · 2021Article
- Physicochemical Foundations of Life that Direct Evolution: Chance and Natural Selection are not Evolutionary Driving Forces.Life (Basel, Switzerland) · 2020Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accumulation of DNA mutations alters amino acid sequence in the key domains of oncoproteins, leading to cellular malignant transformation. Due to redundancy of the genetic code, the same amino acid alteration can be achieved by multiple distinct genetic mutations, which are considered functionally identical and not actively distinguished in the current cancer genome research. For the first time, we analyzed the distribution of codon level transitions acquired by somatic mutations in human cancers. By analyzing the ~2.5 million nonsynonymous somatic single nucleotide variations (SNVs) found in the COSMIC database, we found 41 recurrent amino acid alterations whose DNA changes are significantly biased toward a specific codon transition. Additional analyses partially identified functional discrepancies between the favored and avoided codon transitions in terms of mutational process, codon usage, alternative splicing, and mRNA stability.
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