Evidence map›Paper›PMID 39578878›Full record

ArticleGenome medicine2024

Mapping in silico genetic networks of the KMT2D tumour suppressor gene to uncover novel functional associations and cancer cell vulnerabilities.

Yuka Takemon, Erin D Pleasance, Alessia Gagliardi, Christopher S Hughes, Veronika Csizmok, Kathleen Wee, Diane L Trinh, Ryan D Huff, Andrew J Mungall, Richard A Moore and 9 more

Abstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

19 authors.

Yuka TakemonGenome Science and Technology Graduate Program, University of British Columbia, Vancouver, Canada.
Erin D PleasanceCanada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada.
Alessia GagliardiCanada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada.
Christopher S HughesDepartment of Medicine, Dalhousie University, Halifax, Canada.
Veronika CsizmokCanada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada.
Kathleen WeeCanada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada.
Diane L TrinhMichael Smith Laboratories, University of British Columbia, Vancouver, Canada.
Ryan D HuffDivision of Respiratory Medicine, Department of Medicine, Air Pollution Exposure Laboratory, Vancouver Coastal Health Research Institute, University of British Columbia, Vancouver, BC, Canada.
Andrew J MungallCanada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada.
Richard A MooreCanada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada.
Eric ChuahCanada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada.
Karen L MungallCanada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada.
Eleanor LewisCanada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada.
Jessica NelsonCanada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada.
Howard J LimDepartment of Medical Oncology, BC Cancer, Vancouver, BC, Canada.
Daniel J RenoufDepartment of Medical Oncology, BC Cancer, Vancouver, BC, Canada.
Steven Jm JonesCanada's Michael Smith Genome Sciences Centre, BC Cancer Research Institute, Vancouver, Canada.
Janessa LaskinDepartment of Medical Oncology, BC Cancer, Vancouver, BC, Canada.
Marco A MarraMichael Smith Laboratories, University of British Columbia, Vancouver, Canada. mmarra@bcgsc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLoss-of-function (LOF) alterations in tumour suppressor genes cannot be directly targeted. Approaches characterising gene function and vulnerabilities conferred by such mutations are required.

methodsHere, we computationally map genetic networks of KMT2D, a tumour suppressor gene frequently mutated in several cancer types. Using KMT2D loss-of-function (KMT2D

resultsWe revealed genetic interactors with functions in histone modification, metabolism, and immune response and synthetic lethal (SL) candidates, including some encoding existing therapeutic targets. Notably, we predicted WRN as a novel SL interactor and, using recently available WRN inhibitor (HRO761 and VVD-133214) treatment response data, we observed that KMT2D mutational status significantly distinguishes treatment-sensitive MSI cell lines from treatment-insensitive MSI cell lines.

conclusionsOur study thus illustrates how tumour suppressor gene LOF alterations can be exploited to reveal potentially targetable cancer cell vulnerabilities.

Indexed as

Gene Regulatory NetworksNeoplasmsCell Line, TumorComputer SimulationDNA-Binding ProteinsGenes, Tumor SuppressorHumansMutationNeoplasm ProteinsDNA-Binding ProteinsKMT2D protein, humanNeoplasm ProteinsGenetic networksKMT2DSynthetic lethalityTumour suppressor genesWRN inhibitors

Identifiers

PMID39578878
PMCPMC11583415

What OpenQuestion holds

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LicenceCC BY
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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.