ReviewOncogene2017
Base changes in tumour DNA have the power to reveal the causes and evolution of cancer.
Review in Oncogene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
35 citing papers in PubMed, 80 citations in OpenAlex.
- Broad versus limited gene panels to guide treatment in patients with advanced solid tumors: a randomized controlled trial.Nature medicine · 2025Trial
- Effects of ethanol and acetaldehyde on multi-organ genomic mutation landscapes.Cell biology and toxicology · 2026Article
- Can DNA Methylation in Peritumoral and Contralateral Breast Tissue Predict Recurrence or Second Breast Cancers?Current issues in molecular biology · 2026Article
- Genome-scale multi-organ analysis of mutagenic effects of ethanol and acetaldehyde in Sprague Dawley rats.bioRxiv : the preprint server for biology · 2025Article
- A Dirichlet-multinomial mixed model for determining differential abundance of mutational signatures.BMC bioinformatics · 2025Article
- IARC Workshop on the Key Characteristics of Carcinogens: Assessment of End Points for Evaluating Mechanistic Evidence of Carcinogenic Hazards.Environmental health perspectives · 2025Article
- Nanoplasmonic biosensors for precision medicine.Frontiers in chemistry · 2023Review
- Applications of Gold and Silver Nanoparticles in Theranostics.Applied biochemistry and biotechnology · 2022Review
- Fibromodulin Gene Variants (Disease markers · 2022Article
- Molecular Damage in Aging.Nature aging · 2021Review
- Review
- Recent Advances in Enhancing the Therapeutic Index of PARP Inhibitors in Breast Cancer.Cancers · 2021Review
- Topomer-CoMFA proposed as a tool to construct dual EGFR/HER-2 models.Journal of molecular modeling · 2021Article
- A Review on Green Synthesis, Characterization and Anticancer Application of Metallic Nanoparticles.Applied biochemistry and biotechnology · 2021Review
- Homologous Recombination Deficiency Testing for BRCA-Like Tumors: The Road to Clinical Validation.Cancers · 2021Review
- Economical and easily detectable markers of digestive tumors: platelet parameters.Biomarkers in medicine · 2021Article
- Article
- Chemically induced mutations in a MutaMouse reporter gene inform mechanisms underlying human cancer mutational signatures.Communications biology · 2020Article
- EGFP Reporters for Direct and Sensitive Detection of Mutagenic Bypass of DNA Lesions.Biomolecules · 2020Article
- BATCAVE: calling somatic mutations with a tumor- and site-specific prior.NAR genomics and bioinformatics · 2020Article
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 3 institutions in 3 countries.
Funding
Abstract
Next-generation sequencing (NGS) technology has demonstrated that the cancer genomes are peppered with mutations. Although most somatic tumour mutations are unlikely to have any role in the cancer process per se, the spectra of DNA sequence changes in tumour mutation catalogues have the potential to identify the mutagens, and to reveal the mutagenic processes responsible for human cancer. Very recently, a novel approach for data mining of the vast compilations of tumour NGS data succeeded in separating and precisely defining at least 30 distinct patterns of sequence change hidden in mutation databases. At least half of these mutational signatures can be readily assigned to known human carcinogenic exposures or endogenous mechanisms of mutagenesis. A quantum leap in our knowledge of mutagenesis in human cancers has resulted, stimulating a flurry of research activity. We trace here the major findings leading first to the hypothesis that carcinogenic insults leave characteristic imprints on the DNA sequence of tumours, and culminating in empirical evidence from NGS data that well-defined carcinogen mutational signatures are indeed present in tumour genomic DNA from a variety of cancer types. The notion that tumour DNAs can divulge environmental sources of mutation is now a well-accepted fact. This approach to cancer aetiology has also incriminated various endogenous, enzyme-driven processes that increase the somatic mutation load in sporadic cancers. The tasks now confronting the field of molecular epidemiology are to assign mutagenic processes to orphan and newly discovered tumour mutation patterns, and to determine whether avoidable cancer risk factors influence signatures produced by endogenous enzymatic mechanisms. Innovative research with experimental models and exploitation of the geographical heterogeneity in cancer incidence can address these challenges.
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What OpenQuestion holds
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.