Evidence map›Paper›PMID 37964201›Full record

ArticleBMC women's health2023

Molecular-based classification of endometrial carcinoma in Northern Thailand: impact on prognosis and potential for implementation in resource-limited settings.

Wiyada Dankai, Tip Pongsuvareeyakul, Phichayut Phinyo, Chontichaporn Tejamai, Chinachote Teerapakpinyo, Chalong Cheewakriangkrai, Suree Lekawanvijit, Sumalee Siriaunkgul, Surapan Khunamornpong

Abstract read
In one paragraph

Article in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

9 authors.

Wiyada DankaiDepartment of Pathology, Faculty of Medicine, Chiang Mai University, 110 Inthawaroros Road, Sri Phum District, Muang Chiang Mai, Chiang Mai, Chiang Mai, 50200, Thailand.
Tip PongsuvareeyakulDepartment of Pathology, Faculty of Medicine, Chiang Mai University, 110 Inthawaroros Road, Sri Phum District, Muang Chiang Mai, Chiang Mai, Chiang Mai, 50200, Thailand. tang_tip@hotmail.com.
Phichayut PhinyoCenter for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Chontichaporn TejamaiDepartment of Pathology, Faculty of Medicine, Chiang Mai University, 110 Inthawaroros Road, Sri Phum District, Muang Chiang Mai, Chiang Mai, Chiang Mai, 50200, Thailand.
Chinachote TeerapakpinyoChulalongkorn GenePRO Center, Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
Chalong CheewakriangkraiGynecologic Cancer Research Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, 50200, Thailand.
Suree LekawanvijitDepartment of Pathology, Faculty of Medicine, Chiang Mai University, 110 Inthawaroros Road, Sri Phum District, Muang Chiang Mai, Chiang Mai, Chiang Mai, 50200, Thailand.
Sumalee SiriaunkgulDepartment of Pathology, Faculty of Medicine, Chiang Mai University, 110 Inthawaroros Road, Sri Phum District, Muang Chiang Mai, Chiang Mai, Chiang Mai, 50200, Thailand.
Surapan KhunamornpongDepartment of Pathology, Faculty of Medicine, Chiang Mai University, 110 Inthawaroros Road, Sri Phum District, Muang Chiang Mai, Chiang Mai, Chiang Mai, 50200, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndometrial carcinoma is molecularly categorized into four subgroups: polymerase-E exonuclease domain-mutant (POLE-mut), mismatch repair-deficient (MMR-d), p53-abnormal (p53-abn), and no specific molecular profile (NSMP). This classification scheme has been included into clinical recommendation for post-operative risk-based management, although there have been few Asian studies on this topic. The present study aimed to evaluate the prevalence and clinical outcomes of endometrial carcinoma using this classification in Northern Thailand and the feasibility of implementation in resource-limited settings.

methodsEndometrial carcinomas from hysterectomy specimens were classified using immunohistochemistry for MMR proteins and p53, as well as POLE mutation testing. Clinicopathological variables and outcomes were analyzed. The costs of the molecular information-based approach were compared to those incurred by the conventional approach (without molecular classification).

resultsOf 138 patients, 52.9% in the NSMP subgroup, 28.2% were in the MMR-d, 13.8% in the p53-abn, and 5.1% in the POLE-mut. After adjusting for other variables, patients with POLE-mut showed the most favorable outcomes, while those with p53-abn had the poorest survival. When estimating the costs for post-operative management, the use of molecular classification resulted in a 10% increase over the conventional approach. However, the cost increased only by 1% if only POLE testing was used to identify patients for treatment omission.

conclusionIn Northern Thailand, endometrial carcinoma had comparable subgroup distribution and prognostic implications to previous reports, supporting the implementation of management guidelines that incorporate molecular information. In resource-limited settings, at least POLE mutation testing in early-stage patients should be considered.

Indexed as

Endometrial NeoplasmsTumor Suppressor Protein p53Biomarkers, TumorFemaleHumansMutationPrognosisResource-Limited SettingsThailandBiomarkers, TumorTumor Suppressor Protein p53Endometrial carcinomaManagementMolecular classificationPOLE mutationResource-limited setting

Identifiers

PMID37964201
PMCPMC10647101

What Socratic holds

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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 Socratic graph.