Evidence map›Paper›PMID 39196362›Full record

ArticleVirchows Archiv : an international journal of pathology2024

ERBB2/ ERBB3-mutated S100/ SOX10-positive unclassified high-grade uterine sarcoma: first detailed description of a novel entity.

Abbas Agaimy, Josephine K Dermawan, Florian Haller, Sabine Semrau, Norbert Meidenbauer, Robert Stoehr, Sigurd Lax, Arndt Hartmann, Ying S Zou, Deyin Xing and 3 more

Abstract readCase Reports
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 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

13 authors.

Abbas AgaimyInstitute of Pathology, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany. abbas.agaimy@uk-erlangen.de.
Josephine K DermawanDepartment of Pathology and Laboratory Medicine, Cleveland Clinic, Cleveland, Ohio, USA.
Florian HallerInstitute of Pathology, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany.
Sabine SemrauDepartment of Radiation Oncology, University Hospital, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Norbert MeidenbauerDepartment of Internal Medicine 5-Hematology and Oncology, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany.
Robert StoehrInstitute of Pathology, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany.
Sigurd LaxDepartment of Pathology, Hospital Graz II, Academic Teaching Hospital of the Medical University Graz, Graz, Austria.
Arndt HartmannInstitute of Pathology, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany.
Ying S ZouDepartment of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Deyin XingDepartment of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Lars TögelInstitute of Pathology, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany.
John M GrossDepartment of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Michael MichalDepartment of Pathology, Faculty of Medicine in Plzeň, Charles University, Plzeň, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing use of innovative next generation sequencing (NGS) platforms in routine diagnostic and research settings, the genetic landscape of uterine sarcomas has been dynamically evolving during the last two decades. Notably, the majority of recently recognized genotypes in uterine sarcomas represent gene fusions, while recurrent oncogene mutations of diagnostic and/ or therapeutic value have been rare. Recently, a distinctive aggressive uterine sarcoma expressing S100 and SOX10, but otherwise lacking diagnostic morphological, immunophenotypic and molecular features of other uterine malignancies has been presented in a scientific abstract form (USCAP, 2023), but detailed description and delineation of the entity is still missing. We herein describe two high-grade unclassified uterine sarcomas characterized by spindle to round cell morphology and diffuse expression of S100 and SOX10, originating in the uterine body and cervix of 53- and 45-year-old women and carrying an ERBB3 (p.Glu928Gly) and an ERBB2 (p.Val777Leu) mutation, respectively. Both tumors harbored in addition genomic HER2 amplification, ATRX mutation and CDKN2A deletion. Methylation studies revealed a methylome most similar to MPNST-like tumors, but distinct from melanoma, MPNST, clear cell sarcoma, and endometrial stromal sarcoma. Case 1 died of progressive peritoneal metastases after multiple trials of chemotherapy 47 months after diagnosis. Case 2 is a recent case who presented with a cervical mass, which was biopsied. This study defines a novel heretofore unrecognized aggressive uterine sarcoma with unique phenotypic and genotypic features. Given the potential value of targeting HER2, recognizing this tumor type is mandatory for appropriate therapeutic strategies and for better future delineation of the entity.

Indexed as

Erb-b2 Receptor Tyrosine KinasesMutationReceptor, ErbB-3SarcomaSOXE Transcription FactorsUterine NeoplasmsBiomarkers, TumorFemaleHumansMiddle AgedNeoplasm GradingS100 ProteinsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesERBB3 protein, humanReceptor, ErbB-3S100 ProteinsSOX10 protein, humanSOXE Transcription FactorsEGFRMolecular profiling; nerve sheath tumorTargeted therapyTyrosine kinase fusionsUndifferentiated uterine sarcoma

Identifiers

PMID39196362
PMCPMC11564289

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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.