Evidence map›Paper›PMID 35320887›Full record

ArticleJournal of gynecologic oncology2022

Clinicopathological and molecular characterization of high-grade endometrial carcinoma with POLE mutation: a single center study.

Shuangni Yu, Zezheng Sun, Liju Zong, Jie Yan, Mei Yu, Jie Chen, Zhaohui Lu

Open access · diamondAbstract read
In one paragraph

Article in Journal of gynecologic oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% of its field
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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  9. Frontiers in oncology · 2025
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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

7 authors at 1 institution in 1 country.

Shuangni Yu *Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0002-3745-1097
Zezheng Sun *Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0001-9520-9875
Liju ZongDepartment of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0003-1419-9412
Jie YanDepartment of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0002-1490-0494
Mei YuDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0002-6070-2456
Jie ChenDepartment of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID 0000-0002-2658-9525
Zhaohui LuDepartment of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. luzhh@pumch.cn.ORCID 0000-0002-8421-7033
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Beijing Kanghua Foundation for the Development of Traditional Chinese and Western Medicine KH-2021-LLZX-007CAMS Innovation Fund for Medical Science 2021-I2M-C&T-B-023CAMS Science and Technology Innovation Program Fund for Medical Sciences and Health 2016-I2M-1-001National Scientific Data Sharing Platform for Population and Health NCMI-YF01N-201906
6 · The paper itself

Abstract

objectiveThe molecular classification system of endometrial carcinoma (EC) in 'The Cancer Genome Atlas' is widely acknowledged for its prognostic utility. Subsequently, more simplified classification system that incorporate DNA polymerase epsilon (POLE) exonuclease domain mutations, mismatch repair deficiencies (MMRd), and abnormal p53 (P53abn) has also demonstrated its clinical utility. These classifications helped identifying a 'POLE ultramutated' (POLEmut) category of patients, most of whom show excellent prognoses despite having high-grade ECs. We aimed to investigate the clinicopathological and molecular characteristics of high-grade ECs with POLEmut.

methodsWe investigated 414 patients with high-grade ECs (including endometrioid carcinomas grade 3, serous carcinomas, clear cell carcinomas, mixed carcinomas, undifferentiated and dedifferentiated carcinomas, and carcinosarcomas) by sequencing and immunohistochemical staining.

resultsForty-three tumors (10.4%) were classified as POLEmut, including 2 with new, possibly pathogenic POLE mutations at P286C and L424V. These patients had very good prognoses except for 1 with stage IV disease and residual tumor. Eleven patients in this group also had P53abn and 4 had MMRd; molecular analysis revealed that patients with synchronous POLE pathogenic mutation and other mutations had a POLEmut or MMRd phenotype; survival analysis found no difference in prognosis between these patient categories. The prognoses of patients in the POLEmut EC group were not significantly influenced by treatment or risk category.

conclusionsPatients with high-grade EC exhibiting POLEmut have very good clinical outcomes, and should be identified urgently in daily work owing to their conflicting morphology. Our findings also provide guidance on subclassifying ECs with poor histological appearance.

Indexed as

Carcinoma, EndometrioidDNA Polymerase IIEndometrial NeoplasmsPoly-ADP-Ribose Binding ProteinsBiomarkers, TumorFemaleHumansMutationBiomarkers, TumorDNA Polymerase IIPOLE protein, humanPoly-ADP-Ribose Binding ProteinsDNA Polymerase epsilonEndometrial CarcinomaEndometrioid CarcinomaMismatch RepairMolecularp53

Identifiers

PMID35320887
PMCPMC9024187
OpenAlexW4210884437

What OpenQuestion holds

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LicenceCC BY-NC
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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.