Evidence map›Paper›PMID 39501493›Full record

ArticleJournal of surgical oncology2025

Molecular Classification of Endometrial Cancers Using an Integrative DNA Sequencing Panel.

Soyoun R Kim, Leslie Oldfield, Raymond H Kim, Osvaldo Espin-Garcia, Kathy Han, Danielle Vicus, Lua Eiriksson, Alicia Tone, Aaron Pollett, Matthew Cesari and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Soyoun R KimDivision of Gynecologic Oncology, Princess Margaret Cancer Centre, Sinai Health Systems, University Health Network, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-5694-5439
Leslie OldfieldDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Raymond H KimFred A Litwin Family Centre for Genetic Medicine, University Health Network, Toronto, Ontario, Canada.
Osvaldo Espin-GarciaDepartment of Biostatistics, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Kathy HanDepartment of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
Danielle VicusDepartment of Obstetrics and Gynaecology, University of Toronto, Toronto, Ontario, Canada.
Lua EirikssonDivision of Gynecologic Oncology, Juravinski Cancer Centre, Hamilton, Ontario, Canada.
Alicia ToneDivision of Gynecologic Oncology, Princess Margaret Cancer Centre, Sinai Health Systems, University Health Network, Toronto, Ontario, Canada.
Aaron PollettDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Matthew CesariDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Blaise ClarkeDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada.
Marcus Q BernardiniDivision of Gynecologic Oncology, Princess Margaret Cancer Centre, Sinai Health Systems, University Health Network, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-7022-8308
Trevor J PughDepartment of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Sarah E FergusonDivision of Gynecologic Oncology, Princess Margaret Cancer Centre, Sinai Health Systems, University Health Network, Toronto, Ontario, Canada.

Funding

This study was supported by funding from the Hold'em for Life Clinician Scientist Award and Violet River Award in Gynecology from the Department of Obstetrics and Gynecology, University of Toronto.
6 · The paper itself

Abstract

BACKGROUND AND

objectivesAdoption of molecular classification in endometrial cancer (EC) into clinical practice remains challenging due to complexity in coordination of multiple assays. We aimed to develop a simple molecular technique to classify ECs into four subgroups using our custom-designed targeted sequencing panel.

methodsPatients with newly diagnosed ECs were prospectively recruited from three cancer centres in Ontario, Canada. Using our panel, 181 ECs were sequenced. Variants were analysed for pathogenicity and clinicopathologic information was collected through medical records retrospectively.

resultsOf 181, 86 (48%) were mismatch repair deficient (MMRd), of which 62 (72%) harboured MLH1 promoter methylation and 24 (28%) had pathogenic variants in MMR genes. Of single classifiers, three (1.8%) had pathogenic POLE (POLEmut), 15 (9%) had TP53 mutations (p53abn) and 61 (37%) had no specific molecular profile subtype (NSMP). Sixteen (9%) had more than one molecular classifying feature, with eight (4%) MMRd-p53abn, six (3%) POLEmut-MMRd, one (0.5%) POLEmut-MMRd-p53abn and one (0.5%) POLEmut-p53abn. When MMRd group was further subclassified according to mechanism of MMR loss, MLH1 promoter methylated group had worse outcomes than those with somatic MMR pathogenic variants.

conclusionsOur panel can classify ECs into four subgroups through a simplified process and can be implemented reflexively in clinical practice.

Indexed as

Biomarkers, TumorEndometrial NeoplasmsSequence Analysis, DNAAdultAgedAged, 80 and overDNA MethylationDNA Mismatch RepairFemaleHumansMiddle AgedMutationMutL Protein Homolog 1Promoter Regions, GeneticProspective StudiesRetrospective StudiesBiomarkers, TumorMLH1 protein, humanMutL Protein Homolog 1TP53 protein, humanTumor Suppressor Protein p53endometrial cancermolecular classificationmolecular subtypenext‐generation sequencingpanel

Identifiers

PMID39501493
PMCPMC12065444

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.