ArticleScientific reports2020
MutSignatures: an R package for extraction and analysis of cancer mutational signatures.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
39 citing papers in PubMed, 57 citations in OpenAlex.
- DNA Repair gene alterations and efficacy from gemcitabine and nab-paclitaxel with/without durvalumab and tremelimumab in metastatic pancreatic ductal adenocarcinoma.Nature communications · 2026Trial
- A phase II study of talazoparib monotherapy in patients with wild-type BRCA1 and BRCA2 with a mutation in other homologous recombination genes.Nature cancer · 2022Trial
- The evolution to hepta-refractory myeloma involves sequential loss of CD38, BCMA and GPRC5D.Leukemia · 2026Article
- Mutant ribosomal protein RPS15 drives B cell malignancy through oxidative stress and genomic instability.Nature communications · 2026Article
- Genomic landscape of paired primary and peritoneal metastatic lesions in gastric cancer highlights evolutionary dynamics and mutational drivers.Journal of advanced research · 2026Article
- Paired Exome-Based Comprehensive Genomic Profiling and Germline Genetic Testing for Unselected Patients With Colorectal Cancer in a Multicenter Prospective Study.Gastro hep advances · 2026Article
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- Spatially Discontinuous Mutation Topographies in Ductal Carcinoma In Situ Reveal Noncompetitive Growth Dynamics.Cancer research · 2025Article
- Evaluating topography of mutational signatures with SigProfilerTopography.Genome biology · 2025Article
- Evolutionary Pressures Shape Undifferentiated Pleomorphic Sarcoma Development and Radiotherapy Response.Cancer research · 2025Article
- Whole-exome sequencing identifies distinct genomic aberrations in eccrine porocarcinomas and poromas.Orphanet journal of rare diseases · 2025Article
- Benchmarking 13 tools for mutational signature attribution, including a new and improved algorithm.Briefings in bioinformatics · 2024Article
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- Article
- Diffsig: Associating Risk Factors with Mutational Signatures.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Article
- Sarcoma microenvironment cell states and ecosystems are associated with prognosis and predict response to immunotherapy.Nature cancer · 2024Article
- Genomic characterization of peritoneal lavage cytology-positive gastric cancer.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2024Article
- Mutational topography reflects clinical neuroblastoma heterogeneity.Cell genomics · 2023Article
- Growth Dynamics of Ductal Carcinoma in Situ Recapitulate Normal Breast Development.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Cancer cells accumulate somatic mutations as result of DNA damage, inaccurate repair and other mechanisms. Different genetic instability processes result in characteristic non-random patterns of DNA mutations, also known as mutational signatures. We developed mutSignatures, an integrated R-based computational framework aimed at deciphering DNA mutational signatures. Our software provides advanced functions for importing DNA variants, computing mutation types, and extracting mutational signatures via non-negative matrix factorization. Specifically, mutSignatures accepts multiple types of input data, is compatible with non-human genomes, and supports the analysis of non-standard mutation types, such as tetra-nucleotide mutation types. We applied mutSignatures to analyze somatic mutations found in smoking-related cancer datasets. We characterized mutational signatures that were consistent with those reported before in independent investigations. Our work demonstrates that selected mutational signatures correlated with specific clinical and molecular features across different cancer types, and revealed complementarity of specific mutational patterns that has not previously been identified. In conclusion, we propose mutSignatures as a powerful open-source tool for detecting the molecular determinants of cancer and gathering insights into cancer biology and treatment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.