Evidence map›Paper›PMID 35621010›Full record

ArticleMolecular genetics & genomic medicine2022

The significance of the fusion partner gene genomic neighborhood analysis in translocation-defined tumors.

Elaheh Mosaieby, Petr Martínek, Ondrej Ondič

Abstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. JCO precision oncology · 2026
    Review
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Elaheh MosaiebyMolecular Genetics Department, Bioptická Laboratoř s.r.o., Pilsen, Czech Republic.
Petr MartínekMolecular Genetics Department, Bioptická Laboratoř s.r.o., Pilsen, Czech Republic.
Ondrej OndičMolecular Genetics Department, Bioptická Laboratoř s.r.o., Pilsen, Czech Republic.ORCID 0000-0002-4038-5641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study presents a novel molecular parameter potentially co-defining tumor biology-the total tumor suppressor gene (TSG) count at chromosomal loci harboring genes rearranged in fusion-defined tumors. It belongs to the family of molecular parameters created using a black-box approach.

methodIt is based on a public curated Texas TSG database. Its data are regrouped based on individual genes loci using another public database (Genecards). The total TSG count for NTRK (NTRK1; OMIM: 191315; NTRK2; OMIM: 600456; NTRK3; OMIM: 191316), NRG1 (OMIM: 142445), and RET (OMIM: 164761) rearranged tumors in patients treated with a theranostic approach is calculated using the results of recently published studies.

resultsAltogether 138 loci containing at least three TSGs are identified. These include 21 "extremely hot" spots, with 10 to 28 TSGs mapping to a given locus. However, the study falls short of finding a correlation between tumor regression or patient survival and the TSG count owing to a low number of cases meeting the study criteria.

conclusionThe total TSG count alone cannot predict the biology of translocation-defined tumors. The addition of other parameters, including microsatellite instability (MSI), tumor mutation burden (TMB), homologous recombination repair deficiency (HRD), and copy number heterogeneity (CNH), might be helpful. Thus a multi-modal data integration is advocated. We believe that large scale studies should evaluate the significance and value of the total TSG count.

Indexed as

NeoplasmsBiomarkers, TumorGene FusionGenomicsHumansMutationTranslocation, GeneticBiomarkers, Tumorartificial intelligencecancerchromosomal instabilitychromothripsiscopy number heterogeneitygenegene rearrangementhomologous recombination repairmicrosatellite instabilitytranslocationtumor mutation burdentumor suppressor gene

Identifiers

PMID35621010
PMCPMC9356546

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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.