Evidence map›Paper›PMID 40394155›Full record

ArticleBJC reports2025

Next-generation sequencing outperforms Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) in endometrial cancer molecular classification.

Takuma Yoshimura, Kohei Nakamura, Tatsuyuki Chiyoda, Reika Takamatsu, Ryutaro Kawano, Eriko Aimono, Miho Kawaida, Kensuke Sakai, Yohei Masugi, Hiroshi Nishihara and 1 more

Abstract read
In one paragraph

Article in BJC reports, 2025. 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.

  1. Review
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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

11 authors.

Takuma Yoshimura *Department of Obstetrics and Gynecology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.ORCID http://orcid.org/0000-0001-9919-1692
Kohei Nakamura *Center for Cancer Genomics, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan. knakamura320@keio.jp.ORCID http://orcid.org/0000-0002-5162-7132
Tatsuyuki ChiyodaDepartment of Obstetrics and Gynecology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan. chiyoda@keio.jp.ORCID http://orcid.org/0000-0002-8214-2242
Reika TakamatsuCenter for Cancer Genomics, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Ryutaro KawanoCenter for Cancer Genomics, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Eriko AimonoCenter for Cancer Genomics, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.
Miho KawaidaDepartment of Pathology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.ORCID http://orcid.org/0000-0003-0353-4246
Kensuke SakaiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.ORCID http://orcid.org/0000-0002-1406-086X
Yohei MasugiDepartment of Pathology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.ORCID http://orcid.org/0000-0002-6952-4043
Hiroshi NishiharaCenter for Cancer Genomics, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.ORCID http://orcid.org/0000-0002-5460-8703
Wataru YamagamiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.ORCID http://orcid.org/0000-0003-3925-6057

Funding

Japan Agency for Medical Research and Development JP23ck0106872Japan Society for the Promotion of Science 23K21475
6 · The paper itself

Abstract

backgroundWe aimed to compare the values of next-generation sequencing (NGS) and Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) in redefining the molecular classification of endometrial cancer (EC).

methodsWe investigated the relationship between clinical outcomes and molecular subtypes of POLE, microsatellite instability-high (MSI-H), copy number low (CN-L), and copy number high (CN-H) classified by cancer gene panel testing for 145 cancer-related genes, as well as the immunohistochemical status of p53 and mismatch repair genes, in 200 cases of EC.

resultsThe NGS-based classification identified CN-L subtype as the most prevalent (104/200, 52.0%), followed by MSI-H (38/200, 19.0%), POLE (33/200, 16.5%), and CN-H (25/200, 12.5%). Overall survival differed significantly for the four subtypes based on the NGS (p = 0.006) but not on the ProMisE (p = 0.117) classification. Additional mutations were identified for some POLE subtypes beyond the known hotspots, with 18.2% (6 of 33) showing concurrent MSI-H. Immunohistochemistry showed a p53 wild-type pattern for 12 (48%) CN-H cases, and there was no significant difference in prognosis depending on the p53 status in the CN-H subtype.

conclusionsNGS surpassed ProMisE in EC molecular classification, offering precise stratification and prognostication. Our NGS platform has the potential to contribute to personalized treatment in EC.

Identifiers

PMID40394155
PMCPMC12092810

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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.