Evidence map›Paper›PMID 31189997›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2019

Myxoid smooth muscle neoplasia of the uterus: comprehensive analysis by next-generation sequencing and nucleic acid hybridization.

Ju-Yoon Yoon, Adrian Mariño-Enriquez, Natalie Stickle, Richard J de Borja, Nadia Ismiil, Bojana Djordjevic, Carl Virtanen, Aastha Ravat, Marisa R Nucci, Jelena Mirkovic and 1 more

Abstract read
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In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2019. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Uterine tumor resembling high-grade endometrial mesenchymal sarcoma with GATAD2B-MMRN1 fusion.International journal of clinical and experimental pathology · 2023
    Article
  4. Clinicopathological and genomic characterization of BCORL1-driven high-grade endometrial stromal sarcomas.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2021
    Article
  5. Article
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

11 authors.

Ju-Yoon YoonDepartment of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada.
Adrian Mariño-EnriquezDepartment of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
Natalie SticklePrincess Margaret Genomic Centre, Toronto, ON, Canada.
Richard J de BorjaPrincess Margaret Genomic Centre, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-8181-6348
Nadia IsmiilDepartment of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada.
Bojana DjordjevicDepartment of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada.
Carl VirtanenPrincess Margaret Genomic Centre, Toronto, ON, Canada.
Aastha RavatDepartment of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
Marisa R NucciDepartment of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
Jelena MirkovicDepartment of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada.
Carlos Parra-HerranDepartment of Laboratory Medicine and Molecular Diagnostics, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, ON, Canada. carlos.parraherran@utoronto.ca.ORCID http://orcid.org/0000-0003-1420-7291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uterine myxoid smooth muscle tumors, including myxoid leiomyosarcoma, are rare and their genomic profile has not been fully characterized. With the discovery of uterine sarcomas with ZC3H7B-BCOR fusion and BCOR internal tandem duplications, the differential diagnosis of myxoid smooth muscle lesions is expanding to include molecularly-defined tumors. Thus, we aimed to explore the genomic landscape of myxoid smooth muscle tumor using comprehensive tools. We performed whole exome next-generation sequencing and a pan-sarcoma RNA fusion assay in tumoral paraffin-embedded tissue from nine well-characterized uterine myxoid smooth muscle tumors (seven myxoid leiomyosarcomas and two myxoid smooth muscle tumors of unknown malignant potential). By immunohistochemistry, all tumors were strongly positive for smooth muscle markers and negative for BCOR staining; 4/6 expressed PLAG1. None of the tumors harbored known fusions including ZC3H7B-BCOR, TRPS1-PLAG1, and RAD51B-PLAG1. None harbored exon 15 BCOR internal tandem duplications; however, four tumors contained BCOR internal tandem duplications of unknown significance (mostly intronic). Mutational burden was low (median 3.8 mutations/megabase). DNA damage repair pathway gene mutations, including TP53 and BRCA2, were found. Copy number variation load, inferred from sequencing data, was variable with genomic indexes ranging from 2.2 to 74.7 (median 25.7), with higher indexes in myxoid leiomyosarcomas than myxoid smooth muscle tumors of unknown malignant potential. The absence of clear driver mutations suggests myxoid smooth muscle tumors to be genetically heterogeneous group of tumours and that other genetic (eg., undiscovered translocation) or epigenetic events drive the pathogenesis of uterine myxoid smooth muscle neoplasia.

Indexed as

TranscriptomeAdultAgedFemaleHigh-Throughput Nucleotide SequencingHumansMiddle AgedNucleic Acid HybridizationSmooth Muscle TumorUterine Neoplasms

Identifiers

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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.