Evidence map›Paper›PMID 32988402›Full record

ArticleGenome medicine2020

Identification of new driver and passenger mutations within APOBEC-induced hotspot mutations in bladder cancer.

Ming-Jun Shi, Xiang-Yu Meng, Jacqueline Fontugne, Chun-Long Chen, François Radvanyi, Isabelle Bernard-Pierrot

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
9.2field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 63 citations in OpenAlex.

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  12. Hotspot propensity across mutational processes.Molecular systems biology · 2024
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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

6 authors at 1 institution in 2 countries.

Ming-Jun ShiDepartment of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xiang-Yu MengInstitut Curie, CNRS, UMR144, Molecular Oncology team, PSL Research University, 26 Rue d'Ulm, 75005, Paris, France. mengxy_whu@163.com.
Jacqueline FontugneInstitut Curie, CNRS, UMR144, Molecular Oncology team, PSL Research University, 26 Rue d'Ulm, 75005, Paris, France.
Chun-Long ChenInstitut Curie, CNRS, UMR3244, PSL Research University, Paris, France.
François RadvanyiInstitut Curie, CNRS, UMR144, Molecular Oncology team, PSL Research University, 26 Rue d'Ulm, 75005, Paris, France.
Isabelle Bernard-PierrotInstitut Curie, CNRS, UMR144, Molecular Oncology team, PSL Research University, 26 Rue d'Ulm, 75005, Paris, France. isabelle.bernard-pierrot@curie.fr.ORCID 0000-0002-8967-5092
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAPOBEC-driven mutagenesis and functional positive selection of mutated genes may synergistically drive the higher frequency of some hotspot driver mutations compared to other mutations within the same gene, as we reported for FGFR3 S249C. Only a few APOBEC-associated driver hotspot mutations have been identified in bladder cancer (BCa). Here, we systematically looked for and characterised APOBEC-associated hotspots in BCa.

methodsWe analysed 602 published exome-sequenced BCas, for part of which gene expression data were also available. APOBEC-associated hotspots were identified by motif-mapping, mutation signature fitting and APOBEC-mediated mutagenesis comparison. Joint analysis of DNA hairpin stability and gene expression was performed to predict driver or passenger hotspots. Aryl hydrocarbon receptor (AhR) activity was calculated based on its target genes expression. Effects of AhR knockout/inhibition on BCa cell viability were analysed.

resultsWe established a panel of 44 APOBEC-associated hotspot mutations in BCa, which accounted for about half of the hotspot mutations. Fourteen of them overlapped with the hotspots found in other cancer types with high APOBEC activity. They mostly occurred in the DNA lagging-strand templates and the loop of DNA hairpins. APOBEC-associated hotspots presented systematically a higher prevalence than the other mutations within each APOBEC-target gene, independently of their functional impact. A combined analysis of DNA loop stability and gene expression allowed to distinguish known passenger from known driver hotspot mutations in BCa, including loss-of-function mutations affecting tumour suppressor genes, and to predict new candidate drivers, such as AHR Q383H. We further characterised AHR Q383H as an activating driver mutation associated with high AhR activity in luminal tumours. High AhR activity was also found in tumours presenting amplifications of AHR and its co-receptor ARNT. We finally showed that BCa cells presenting those different genetic alterations were sensitive to AhR inhibition.

conclusionsOur study identified novel potential drivers within APOBEC-associated hotspot mutations in BCa reinforcing the importance of APOBEC mutagenesis in BCa. It could allow a better understanding of BCa biology and aetiology and have clinical implications such as AhR as a potential therapeutic target. Our results also challenge the dogma that all hotspot mutations are drivers and mostly gain-of-function mutations affecting oncogenes.

Indexed as

Biomarkers, TumorMutationOncogenesAllelesAPOBEC DeaminasesCell LineComputational BiologyDatabases, GeneticExome SequencingFemaleGenomicsHumansMolecular Targeted TherapyMutagenesisTumor Suppressor ProteinsUrinary Bladder NeoplasmsAPOBEC DeaminasesBiomarkers, TumorTumor Suppressor ProteinsAPOBECAryl hydrocarbon receptorBladder cancerDriver mutationMutagenesisOncogenePassenger mutationStem-loopTumour suppressor gene

Identifiers

PMID32988402
PMCPMC7646471
OpenAlexW3089563003

What OpenQuestion holds

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Registered trials

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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.