Evidence map›Paper›PMID 29900125›Full record

ArticleFrontiers in oncology2018

Genome-Wide Analysis of Interchromosomal Interaction Probabilities Reveals Chained Translocations and Overrepresentation of Translocation Breakpoints in Genes in a Cutaneous T-Cell Lymphoma Cell Line.

Anne Steininger, Grit Ebert, Benjamin V Becker, Chalid Assaf, Markus Möbs, Christian A Schmidt, Piotr Grabarczyk, Lars R Jensen, Grzegorz K Przybylski, Matthias Port and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Structural variation in the sequencing era.Nature reviews. Genetics · 2020
    Review
  5. Review
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

12 authors at 6 institutions in 2 countries.

Anne SteiningerMax Planck Institute for Molecular Genetics, Berlin, Germany.
Grit EbertMax Planck Institute for Molecular Genetics, Berlin, Germany.
Benjamin V BeckerBundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany.
Chalid AssafDepartment of Dermatology and Venerology, Helios Klinikum Krefeld, Krefeld, Germany.
Markus MöbsBerlin Institute of Health, Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
Christian A SchmidtClinic for Internal Medicine C, University Medicine Greifswald, Greifswald, Germany.
Piotr GrabarczykClinic for Internal Medicine C, University Medicine Greifswald, Greifswald, Germany.
Lars R JensenHuman Molecular Genetics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Grzegorz K PrzybylskiInstitute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.
Matthias PortBundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany.
Andreas W KussHuman Molecular Genetics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Reinhard UllmannBundeswehr Institute of Radiobiology Affiliated to the University of Ulm, Munich, Germany.
Universitätsmedizin Greifswald · DEUniversität Ulm · DEMax Planck Institute for Molecular Genetics · DECharité - Universitätsmedizin Berlin · DEHelios Klinikum Krefeld · DEInstitute of Human Genetics · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In classical models of tumorigenesis, the accumulation of tumor promoting chromosomal aberrations is described as a gradual process. Next-generation sequencing-based methods have recently revealed complex patterns of chromosomal aberrations, which are beyond explanation by these classical models of karyotypic evolution of tumor genomes. Thus, the term chromothripsis has been introduced to describe a phenomenon, where temporarily and spatially confined genomic instability results in dramatic chromosomal rearrangements limited to segments of one or a few chromosomes. Simultaneously arising and misrepaired DNA double-strand breaks are also the cause of another phenomenon called chromoplexy, which is characterized by the presence of chained translocations and interlinking deletion bridges involving several chromosomes. In this study, we demonstrate the genome-wide identification of chromosomal translocations based on the analysis of translocation-associated changes in spatial proximities of chromosome territories on the example of the cutaneous T-cell lymphoma cell line Se-Ax. We have used alterations of intra- and interchromosomal interaction probabilities as detected by genome-wide chromosome conformation capture (Hi-C) to infer the presence of translocations and to fine-map their breakpoints. The outcome of this analysis was subsequently compared to datasets on DNA copy number alterations and gene expression. The presence of chained translocations within the Se-Ax genome, partly connected by intervening deletion bridges, indicates a role of chromoplexy in the etiology of this cutaneous T-cell lymphoma. Notably, translocation breakpoints were significantly overrepresented in genes, which highlight gene-associated biological processes like transcription or other gene characteristics as a possible cause of the observed complex rearrangements. Given the relevance of chromosomal aberrations for basic and translational research, genome-wide high-resolution analysis of structural chromosomal aberrations will gain increasing importance.

Indexed as

chromoplexychromosomal translocationschromosome conformation capturecutaneous T-cell lymphomadeep sequencing

Identifiers

PMID29900125
PMCPMC5988852
OpenAlexW2799453378

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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.