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

BACKGROUND: Endometrial 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 recomme...

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Autores principales: Dankai, Wiyada, Pongsuvareeyakul, Tip, Phinyo, Phichayut, Tejamai, Chontichaporn, Teerapakpinyo, Chinachote, Cheewakriangkrai, Chalong, Lekawanvijit, Suree, Siriaunkgul, Sumalee, Khunamornpong, Surapan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647101/
https://www.ncbi.nlm.nih.gov/pubmed/37964201
http://dx.doi.org/10.1186/s12905-023-02677-6
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author Dankai, Wiyada
Pongsuvareeyakul, Tip
Phinyo, Phichayut
Tejamai, Chontichaporn
Teerapakpinyo, Chinachote
Cheewakriangkrai, Chalong
Lekawanvijit, Suree
Siriaunkgul, Sumalee
Khunamornpong, Surapan
author_facet Dankai, Wiyada
Pongsuvareeyakul, Tip
Phinyo, Phichayut
Tejamai, Chontichaporn
Teerapakpinyo, Chinachote
Cheewakriangkrai, Chalong
Lekawanvijit, Suree
Siriaunkgul, Sumalee
Khunamornpong, Surapan
author_sort Dankai, Wiyada
collection PubMed
description BACKGROUND: Endometrial 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. METHODS: Endometrial 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). RESULTS: Of 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. CONCLUSION: In 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.
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spelling pubmed-106471012023-11-14 Molecular-based classification of endometrial carcinoma in Northern Thailand: impact on prognosis and potential for implementation in resource-limited settings Dankai, Wiyada Pongsuvareeyakul, Tip Phinyo, Phichayut Tejamai, Chontichaporn Teerapakpinyo, Chinachote Cheewakriangkrai, Chalong Lekawanvijit, Suree Siriaunkgul, Sumalee Khunamornpong, Surapan BMC Womens Health Research BACKGROUND: Endometrial 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. METHODS: Endometrial 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). RESULTS: Of 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. CONCLUSION: In 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. BioMed Central 2023-11-14 /pmc/articles/PMC10647101/ /pubmed/37964201 http://dx.doi.org/10.1186/s12905-023-02677-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Dankai, Wiyada
Pongsuvareeyakul, Tip
Phinyo, Phichayut
Tejamai, Chontichaporn
Teerapakpinyo, Chinachote
Cheewakriangkrai, Chalong
Lekawanvijit, Suree
Siriaunkgul, Sumalee
Khunamornpong, Surapan
Molecular-based classification of endometrial carcinoma in Northern Thailand: impact on prognosis and potential for implementation in resource-limited settings
title Molecular-based classification of endometrial carcinoma in Northern Thailand: impact on prognosis and potential for implementation in resource-limited settings
title_full Molecular-based classification of endometrial carcinoma in Northern Thailand: impact on prognosis and potential for implementation in resource-limited settings
title_fullStr Molecular-based classification of endometrial carcinoma in Northern Thailand: impact on prognosis and potential for implementation in resource-limited settings
title_full_unstemmed Molecular-based classification of endometrial carcinoma in Northern Thailand: impact on prognosis and potential for implementation in resource-limited settings
title_short Molecular-based classification of endometrial carcinoma in Northern Thailand: impact on prognosis and potential for implementation in resource-limited settings
title_sort molecular-based classification of endometrial carcinoma in northern thailand: impact on prognosis and potential for implementation in resource-limited settings
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647101/
https://www.ncbi.nlm.nih.gov/pubmed/37964201
http://dx.doi.org/10.1186/s12905-023-02677-6
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