Evidence map›Paper›PMID 42313370›Full record

ReviewJapanese journal of radiology2026

Updates on molecular classification and treatment in endometrial cancer.

Kensuke Sakai, Takuma Yoshimura, Wataru Yamagami

Abstract readReview
PubMed Publisher
In one paragraph

Review in Japanese journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kensuke SakaiDepartment of Obstetrics and Gynecology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-Ku, Tokyo, 160-8582, Japan. k_sakai@keio.jp.ORCID http://orcid.org/0000-0002-1406-086X
Takuma YoshimuraDepartment 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
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

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer (EC) is the most common gynecological malignancy in developed countries, with a steadily rising global incidence. The Cancer Genome Atlas (TCGA) study identified four molecular subtypes- POLE (ultramutated), MSI (hypermutated), copy number low, and copy number high-each with distinct prognostic and therapeutic implications. Integration of molecular classification into the WHO 2020 classification and the FIGO 2023 staging system has transformed clinical practice. Although major European ESGO/ESTRO/ESP guidelines now incorporate molecular subtyping into treatment algorithms, the Japanese JSGO 2023 guidelines have not yet formally integrated molecular classification into adjuvant treatment decisions. Notable differences exist between Japanese and Western approaches, particularly regarding the role of adjuvant radiation therapy versus chemotherapy. Recent landmark trials have provided compelling evidence for biomarker-driven treatment based on molecular classification. Furthermore, some immune checkpoint inhibitors (ICIs) and antibody-drug conjugates (ADCs) are emerging as promising therapeutic options. This review provides an updated overview of the molecular classification of EC, its impact on current guidelines with emphasis on radiation therapy, and the latest therapeutic advances including immunotherapy and ADCs.

Indexed as

Endometrial NeoplasmsBiomarkers, TumorFemaleHumansImmunotherapyNeoplasm StagingBiomarkers, TumorEndometrial cancerMolecular classificationRadiation therapyTCGA

Identifiers

What OpenQuestion holds

Textmetadata
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.