Evidence map›Paper›PMID 33941236›Full record

ArticleGenome biology2021

Functional and genetic determinants of mutation rate variability in regulatory elements of cancer genomes.

Christian A Lee, Diala Abd-Rabbo, Jüri Reimand

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 19 citations in OpenAlex.

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  10. Resistance Mechanisms to Anti-Epidermal Growth Factor Receptor Therapy inJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Christian A Lee *Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.
Diala Abd-Rabbo *Computational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.
Jüri ReimandComputational Biology Program, Ontario Institute for Cancer Research, Toronto, ON, Canada. Juri.Reimand@utoronto.ca.ORCID 0000-0002-2299-2309
Ontario Institute for Cancer Research · CA

Funding

CIHR
6 · The paper itself

Abstract

backgroundCancer genomes are shaped by mutational processes with complex spatial variation at multiple scales. Entire classes of regulatory elements are affected by local variations in mutation frequency. However, the underlying mechanisms with functional and genetic determinants remain poorly understood.

resultsWe characterise the mutational landscape of 1.3 million gene-regulatory and chromatin architectural elements in 2419 whole cancer genomes with transcriptional and pathway activity, functional conservation and recurrent driver events. We develop RM2, a statistical model that quantifies mutational enrichment or depletion in classes of genomic elements through genetic, trinucleotide and megabase-scale effects. We report a map of localised mutational processes affecting CTCF binding sites, transcription start sites (TSS) and tissue-specific open-chromatin regions. Increased mutation frequency in TSSs associates with mRNA abundance in most cancer types, while open-chromatin regions are generally enriched in mutations. We identify ~ 10,000 CTCF binding sites with core DNA motifs and constitutive binding in 66 cell types that represent focal points of mutagenesis. We detect site-specific mutational signature enrichments, such as SBS40 in open-chromatin regions in prostate cancer and SBS17b in CTCF binding sites in gastrointestinal cancers. Candidate drivers of localised mutagenesis are also apparent: BRAF mutations associate with mutational enrichments at CTCF binding sites in melanoma, and ARID1A mutations with TSS-specific mutagenesis in pancreatic cancer.

conclusionsOur method and catalogue of localised mutational processes provide novel perspectives to cancer genome evolution, mutagenesis, DNA repair and driver gene discovery. The functional and genetic correlates of mutational processes suggest mechanistic hypotheses for future studies.

Indexed as

Genome, HumanMutation RateBinding SitesCCCTC-Binding FactorChromatinDNAGene DosageHumansMutationNeoplasmsNucleotide MotifsRegulatory Sequences, Nucleic AcidRNA, MessengerSignal TransductionStatistics as TopicTranscription Initiation SiteCCCTC-Binding FactorChromatinDNARNA, Messenger

Identifiers

PMID33941236
PMCPMC8091793
OpenAlexW3158383713

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.