ArticleScientific reports2016
Distinct mutation accumulation rates among tissues determine the variation in cancer risk.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Metabolic stress in space: ROS-induced mutations in mice hint at a new path to cancer.Redox biology · 2024Article
- When Do Tumours Develop? Neoplastic Processes Across Different Timescales: Age, Season and Round the Circadian Clock.Evolutionary applications · 2024Review
- Effects of PCNA Stability on the Formation of Mutations.International journal of molecular sciences · 2024Article
- Discovery of recessive effect of human polymerase δ proofreading deficiency through mutational analysis of POLD1-mutated normal and cancer cells.European journal of human genetics : EJHG · 2024Article
- Pathogenesis and Current Treatment Strategies of Hepatocellular Carcinoma.Biomedicines · 2022Review
- Game of clones: Battles in the field of carcinogenesis.Pharmacology & therapeutics · 2022Review
- Systematic Evaluation of the Immune Environment of Small Intestinal Neuroendocrine Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022Article
- Role of hepatic metastatic lesion size on inter-reader reproducibility of CT-based radiomics features.European radiology · 2022Article
- Similar burden of pathogenic coding variants in exceptionally long-lived individuals and individuals without exceptional longevity.Aging cell · 2020Article
- Inference of clonal selection in cancer populations using single-cell sequencing data.Bioinformatics (Oxford, England) · 2019Article
- The Network of Cancer Genes (NCG): a comprehensive catalogue of known and candidate cancer genes from cancer sequencing screens.Genome biology · 2019Article
- Cancer progression models and fitness landscapes: a many-to-many relationship.Bioinformatics (Oxford, England) · 2018Article
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3 authors.
Funding
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Abstract
Cancer is believed to be a result of accumulated mutations. However, this concept has not been fully confirmed owing to the impossibility of tracking down the ancestral somatic cell. We sought to verify the concept by exploring the correlation between cancer risk and mutation accumulation among different tissues. We hypothesized that the detected mutations through bulk tumor sequencing are commonly shared in majority, if not all, of tumor cells and are therefore largely a reflection of the mutations accumulated in the ancestral cell that gives rise to tumor. We collected a comprehensive list of mutation frequencies revealed by bulk tumor sequencing, and investigated its correlation with cancer risk to mirror the correlation between mutation accumulation and cancer risk. This revealed an approximate 1:1 relationship between mutation frequency and cancer risk in 41 different cancer types based on the sequencing data of 5,542 patients. The correlation strongly suggests that variation in cancer risk among tissues is mainly attributable to distinct mutation accumulation rates. Moreover, the correlation establishes a baseline to evaluate the effect of non-mutagenic carcinogens on cancer risk. Finally, our mathematic modeling provides a reasonable explanation to reinforce that cancer risk is predominantly determined by the first rate-limiting mutation.
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