ArticleGenome medicine2023
Sequence dependencies and mutation rates of localized mutational processes in cancer.
Article in Genome medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 7 citations in OpenAlex.
- Article
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- Association of APOBEC mutagenesis with stromal and endothelial niche remodeling and PCDH9-linked signaling alterations in colorectal cancer.Frontiers in immunology · 2026Article
- Single-cell copy number alteration signature analysis reveals masked patterns and potential biomarkers for cancer.Communications biology · 2025Article
- MAFcounter: an efficient tool for counting the occurrences of k-mers in MAF files.BMC bioinformatics · 2025Article
- Target-Enhanced Whole-Genome Sequencing Shows Clinical Validity Equivalent to Commercially Available Targeted Oncology Panel.Cancer research and treatment · 2025Article
- A prognostic model for laryngeal squamous cell carcinoma based on the mitochondrial metabolism-related genes.Translational cancer research · 2025Article
- kmerDB: A database encompassing the set of genomic and proteomic sequence information for each species.Computational and structural biotechnology journal · 2024Article
- The utility of liquid biopsy in clinical genetic diagnosis of cancer and monogenic mosaic disorders.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer mutations accumulate through replication errors and DNA damage coupled with incomplete repair. Individual mutational processes often show nucleotide sequence and functional region preferences. As a result, some sequence contexts mutate at much higher rates than others, with additional variation found between functional regions. Mutational hotspots, with recurrent mutations across cancer samples, represent genomic positions with elevated mutation rates, often caused by highly localized mutational processes.
methodsWe count the 11-mer genomic sequences across the genome, and using the PCAWG set of 2583 pan-cancer whole genomes, we associate 11-mers with mutational signatures, hotspots of single nucleotide variants, and specific genomic regions. We evaluate the mutation rates of individual and combined sets of 11-mers and derive mutational sequence motifs.
resultsWe show that hotspots generally identify highly mutable sequence contexts. Using these, we show that some mutational signatures are enriched in hotspot sequence contexts, corresponding to well-defined sequence preferences for the underlying localized mutational processes. This includes signature 17b (of unknown etiology) and signatures 62 (POLE deficiency), 7a (UV), and 72 (linked to lymphomas). In some cases, the mutation rate and sequence preference increase further when focusing on certain genomic regions, such as signature 62 in transcribed regions, where the mutation rate is increased up to 9-folds over cancer type and mutational signature average.
conclusionsWe summarize our findings in a catalog of localized mutational processes, their sequence preferences, and their estimated mutation rates.
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