ArticleCancer cell2019
Passenger Hotspot Mutations in Cancer.
Article in Cancer cell, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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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
49 citing papers in PubMed.
- Topographical archetypes of somatic mutagenesis in cancer.bioRxiv : the preprint server for biology · 2026Article
- An interpretable molecular framework for predicting cancer driver missense mutations.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Challenges and opportunities for oncology drug repurposing informed by synthetic lethality.NPJ systems biology and applications · 2025Article
- Nonhypermutator Cancers Access Driver Mutations Through Reversals in Germline Mutational Bias.Molecular biology and evolution · 2025Article
- Prognostic and molecular multi-platform analysis of CALGB 40603 (Alliance) and public triple-negative breast cancer datasets.NPJ breast cancer · 2025Article
- A multiscale functional map of somatic mutations in cancer integrating protein structure and network topology.Nature communications · 2025Article
- Cancer research and the mainstream of biology.Frontiers in cell and developmental biology · 2025Review
- The theory of massively repeated evolution and full identifications of cancer-driving nucleotides (CDNs).eLife · 2024Article
- Integrative identification of non-coding regulatory regions driving metastatic prostate cancer.Cell reports · 2024Article
- The role of signaling pathways mediated by the GPCRs CysLTR1/2 in melanocyte proliferation and senescence.Science signaling · 2024Review
- Long-term longitudinal analysis of 4,187 participants reveals insights into determinants of clonal hematopoiesis.Nature communications · 2024Article
- A multiscale functional map of somatic mutations in cancer integrating protein structure and network topology.bioRxiv : the preprint server for biology · 2024Article
- How CRISPR Is Revolutionizing the Generation of New Models for Cancer Research.Cold Spring Harbor perspectives in medicine · 2024Review
- Hotspot propensity across mutational processes.Molecular systems biology · 2024Article
- Article
- Reuniting philosophy and science to advance cancer research.Biological reviews of the Cambridge Philosophical Society · 2023Article
- Article
- Sequence dependencies and mutation rates of localized mutational processes in cancer.Genome medicine · 2023Article
- Landscape of Genetic Alterations Underlying Hallmark Signature Changes in Cancer RevealsCancer research communications · 2023Article
- The relapsed acute lymphoblastic leukemia network (ReALLNet): a multidisciplinary project from the spanish society of pediatric hematology and oncology (SEHOP).Frontiers in pediatrics · 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
8 authors.
Funding
Abstract
Current statistical models for assessing hotspot significance do not properly account for variation in site-specific mutability, thereby yielding many false-positives. We thus (i) detail a Log-normal-Poisson (LNP) background model that accounts for this variability in a manner consistent with models of mutagenesis; (ii) use it to show that passenger hotspots arise from all common mutational processes; and (iii) apply it to a ∼10,000-patient cohort to nominate driver hotspots with far fewer false-positives compared with conventional methods. Overall, we show that many cancer hotspot mutations recurring at the same genomic site across multiple tumors are actually passenger events, recurring at inherently mutable genomic sites under no positive selection.
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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.