Evidence map›Paper›PMID 41320126›Full record

ArticleThe Journal of molecular diagnostics : JMD2026

Optical Genome Mapping versus Whole-Genome Sequencing in the Clinical Diagnosis of Gynecologic Mesenchymal Tumors.

Karin Wallander, Yingbo Lin, Vadym Ivanchuk, Valeria Difilippo, Venkatesh Chellappa, Sarath K Murugan, Ingegerd Öfverholm, Robert Bränström, Karolin H Nord, Joseph Carlson and 1 more

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Karin WallanderDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden. Electronic address: karin.wallander@ki.se.
Yingbo LinDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.
Vadym IvanchukDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Valeria DifilippoDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Venkatesh ChellappaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Sarath K MuruganDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Ingegerd ÖfverholmDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Clinical Genetics and Genomics, Karolinska University Hospital, Stockholm, Sweden.
Robert BränströmDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden; Department of Breast Cancer, Endocrine Tumors and Sarcoma, Karolinska University Hospital, Stockholm, Sweden.
Karolin H NordDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Joseph CarlsonDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Pathology, City of Hope, Duarte, California.
Felix Haglund de FlonDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical genome mapping (OGM) enables high-resolution detection of structural variants (SVs) and copy number aberrations (CNAs) using ultralong DNA molecules and minimal bioinformatics processing. Its diagnostic utility in solid tumors remains underexplored. Whole-genome sequencing (WGS) offers comprehensive variant detection but is resource intensive. This study presents a technical benchmarking of OGM versus WGS for mesenchymal tumors of the gynecologic tract. Twenty-five uterine mesenchymal tumors were prospectively analyzed using matched WGS, transcriptome sequencing, and OGM. Detected SVs, CNAs, and fusion genes were compared across platforms. OGM identified structural driver events in 80% of cases and demonstrated high concordance with WGS for major CNAs and translocations. In select cases, OGM resolved complex rearrangements not clearly defined by WGS, including a PLAG1::RERE fusion and an embedded inversion in a RAD51B::HMGA2 event. Conversely, WGS uniquely detected a truncating NF1 translocation and a TSC2::SENP3 fusion, both clinically significant. OGM is a technically robust platform for SV and CNA detection in mesenchymal tumors, and it may serve as an efficient alternative to sequencing-based cytogenomic approaches in selected clinical contexts, especially in tumors known to be driven by gross chromosomal rearrangements. WGS provides a comprehensive view of the cancer genome, suitable for tumors driven by single-nucleotide variants, SVs, and CNAs. The choice between platforms should be guided by clinical context, diagnostic needs, and available resources.

Indexed as

Chromosome MappingGenital Neoplasms, FemaleWhole Genome SequencingAdultDNA Copy Number VariationsFemaleGenome, HumanHigh-Throughput Nucleotide SequencingHumansMiddle Aged

Identifiers

PMID41320126
PMCPMC12881299

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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.