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Enhanced Risk Stratification in Early-Stage Endometrial Cancer: Integrating POLE through Droplet Digital PCR and L1CAM

SIMPLE SUMMARY: While a significant number of ECs are successfully treated without recurrence, some cases of EC still result in death even in their early stages. Incorporating molecular classification enhances prognostic accuracy, aiding tailored treatments. This approach has been utilized by the 20...

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Autores principales: Joe, Seungyeon, Lee, Miseon, Kang, Jun, Kim, Joori, Hong, Sook-Hee, Lee, Sung Jong, Lee, Keun Ho, Lee, Ahwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571976/
https://www.ncbi.nlm.nih.gov/pubmed/37835593
http://dx.doi.org/10.3390/cancers15194899
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author Joe, Seungyeon
Lee, Miseon
Kang, Jun
Kim, Joori
Hong, Sook-Hee
Lee, Sung Jong
Lee, Keun Ho
Lee, Ahwon
author_facet Joe, Seungyeon
Lee, Miseon
Kang, Jun
Kim, Joori
Hong, Sook-Hee
Lee, Sung Jong
Lee, Keun Ho
Lee, Ahwon
author_sort Joe, Seungyeon
collection PubMed
description SIMPLE SUMMARY: While a significant number of ECs are successfully treated without recurrence, some cases of EC still result in death even in their early stages. Incorporating molecular classification enhances prognostic accuracy, aiding tailored treatments. This approach has been utilized by the 2021 ESGO/ESTRO/ESP guidelines, the 2022 ESMO guidelines, and the updated 2023 FIGO classification. Our study employed POLE ddPCR, a cost-effective and easy-to-perform test, as an alternative to POLE NGS for molecular classification. This classification was further enriched by the established prognostic marker, L1CAM, resulting in molecular L1CAM classification. The NSMP group was the largest heterogeneous subgroup. Efforts have been made to find additional markers for further subclassification. When we further categorized the NSMP group, which demonstrates an intermediate prognosis between the POLEmut/MMR-D group and the p53abn group, we were able to distinguish the NSMP-L1CAM-positive subgroup, which exhibited a prognosis similar to the p53-mutated subgroup in terms of poorer outcomes. In multivariate analysis, the molecular L1CAM classification showed an independent prognostic factor for recurrence-free survival and overall survival. ABSTRACT: Aim: In order to enhance risk stratification in early-stage endometrial cancer (EC), we conducted molecular classification using surrogate markers, including the POLE droplet digital polymerase chain reaction (ddPCR) and L1CAM immunohistochemistry (IHC). Method: We analyzed archival tumor tissue from 183 early-stage EC patients. POLE pathogenic mutations of P286R, V411L, S297F, A456P, and S459F within exons 9, 13, and 14 were detected using a ddPCR, while the mismatch repair (MMR) status was determined by MMR protein IHC and MSI tests. Additionally, we conducted IHC for p53 and L1CAM. Results: The 183 ECs were categorized into four subgroups: POLE-mutated (15.9%), MMR-deficient (29.0%), p53-abnormal (8.7%), and non-specific molecular profile (NSMP, 46.4%). We further subcategorized the NSMP subgroup into NSMP-L1CAMneg (41.5%) and NSMP-L1CAMpos (4.9%), which we refer to as the molecular L1CAM classification. The molecular L1CAM classification was an independent prognostic factor for recurrence-free survival (RFS) and overall survival (OS) (p < 0.001, each). Conclusion: Integrating molecular L1CAM classification can enhance risk stratification in early-stage EC, providing valuable prognostic information to guide treatment decisions and improve patient outcomes. POLE ddPCR might be a cost-effective and easy-to-perform test as an alternative to POLE NGS.
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spelling pubmed-105719762023-10-14 Enhanced Risk Stratification in Early-Stage Endometrial Cancer: Integrating POLE through Droplet Digital PCR and L1CAM Joe, Seungyeon Lee, Miseon Kang, Jun Kim, Joori Hong, Sook-Hee Lee, Sung Jong Lee, Keun Ho Lee, Ahwon Cancers (Basel) Article SIMPLE SUMMARY: While a significant number of ECs are successfully treated without recurrence, some cases of EC still result in death even in their early stages. Incorporating molecular classification enhances prognostic accuracy, aiding tailored treatments. This approach has been utilized by the 2021 ESGO/ESTRO/ESP guidelines, the 2022 ESMO guidelines, and the updated 2023 FIGO classification. Our study employed POLE ddPCR, a cost-effective and easy-to-perform test, as an alternative to POLE NGS for molecular classification. This classification was further enriched by the established prognostic marker, L1CAM, resulting in molecular L1CAM classification. The NSMP group was the largest heterogeneous subgroup. Efforts have been made to find additional markers for further subclassification. When we further categorized the NSMP group, which demonstrates an intermediate prognosis between the POLEmut/MMR-D group and the p53abn group, we were able to distinguish the NSMP-L1CAM-positive subgroup, which exhibited a prognosis similar to the p53-mutated subgroup in terms of poorer outcomes. In multivariate analysis, the molecular L1CAM classification showed an independent prognostic factor for recurrence-free survival and overall survival. ABSTRACT: Aim: In order to enhance risk stratification in early-stage endometrial cancer (EC), we conducted molecular classification using surrogate markers, including the POLE droplet digital polymerase chain reaction (ddPCR) and L1CAM immunohistochemistry (IHC). Method: We analyzed archival tumor tissue from 183 early-stage EC patients. POLE pathogenic mutations of P286R, V411L, S297F, A456P, and S459F within exons 9, 13, and 14 were detected using a ddPCR, while the mismatch repair (MMR) status was determined by MMR protein IHC and MSI tests. Additionally, we conducted IHC for p53 and L1CAM. Results: The 183 ECs were categorized into four subgroups: POLE-mutated (15.9%), MMR-deficient (29.0%), p53-abnormal (8.7%), and non-specific molecular profile (NSMP, 46.4%). We further subcategorized the NSMP subgroup into NSMP-L1CAMneg (41.5%) and NSMP-L1CAMpos (4.9%), which we refer to as the molecular L1CAM classification. The molecular L1CAM classification was an independent prognostic factor for recurrence-free survival (RFS) and overall survival (OS) (p < 0.001, each). Conclusion: Integrating molecular L1CAM classification can enhance risk stratification in early-stage EC, providing valuable prognostic information to guide treatment decisions and improve patient outcomes. POLE ddPCR might be a cost-effective and easy-to-perform test as an alternative to POLE NGS. MDPI 2023-10-09 /pmc/articles/PMC10571976/ /pubmed/37835593 http://dx.doi.org/10.3390/cancers15194899 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Joe, Seungyeon
Lee, Miseon
Kang, Jun
Kim, Joori
Hong, Sook-Hee
Lee, Sung Jong
Lee, Keun Ho
Lee, Ahwon
Enhanced Risk Stratification in Early-Stage Endometrial Cancer: Integrating POLE through Droplet Digital PCR and L1CAM
title Enhanced Risk Stratification in Early-Stage Endometrial Cancer: Integrating POLE through Droplet Digital PCR and L1CAM
title_full Enhanced Risk Stratification in Early-Stage Endometrial Cancer: Integrating POLE through Droplet Digital PCR and L1CAM
title_fullStr Enhanced Risk Stratification in Early-Stage Endometrial Cancer: Integrating POLE through Droplet Digital PCR and L1CAM
title_full_unstemmed Enhanced Risk Stratification in Early-Stage Endometrial Cancer: Integrating POLE through Droplet Digital PCR and L1CAM
title_short Enhanced Risk Stratification in Early-Stage Endometrial Cancer: Integrating POLE through Droplet Digital PCR and L1CAM
title_sort enhanced risk stratification in early-stage endometrial cancer: integrating pole through droplet digital pcr and l1cam
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571976/
https://www.ncbi.nlm.nih.gov/pubmed/37835593
http://dx.doi.org/10.3390/cancers15194899
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