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Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing–based gene panel
Over the past two decades, the incidence of endometrial cancer (EC) is increasing, and there is a need for molecular biomarkers to predict prognosis and guide treatment. A recent study from The Cancer Genome Atlas suggested to implement the EC analysis by molecular profile for improving diagnosis, p...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394115/ https://www.ncbi.nlm.nih.gov/pubmed/36003784 http://dx.doi.org/10.3389/fonc.2022.935694 |
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author | Li, Ling Chen, Fangfang Liu, Jingcheng Zhu, Weifeng Lin, Liang Chen, Li Shi, Yi Lin, An Chen, Gang |
author_facet | Li, Ling Chen, Fangfang Liu, Jingcheng Zhu, Weifeng Lin, Liang Chen, Li Shi, Yi Lin, An Chen, Gang |
author_sort | Li, Ling |
collection | PubMed |
description | Over the past two decades, the incidence of endometrial cancer (EC) is increasing, and there is a need for molecular biomarkers to predict prognosis and guide treatment. A recent study from The Cancer Genome Atlas suggested to implement the EC analysis by molecular profile for improving diagnosis, prognosis, and therapeutic treatment. In this study, next-generation sequencing was performed on 70 cases of G3 endometrioid ECs (EECs) using an 11-gene panel (TP53, MLH1, MSH2, MSH6, PMS2, EPCAM, PIK3CA, CTNNB1, KRAS, PTEN, and POL) for molecular classification. The molecular classification based on the 11-gene NGS panel identified four molecular subgroups: POLE-ultramutated (n = 20, 28.6%), MSI-H (n = 27, 38.6%), NSMP (n = 13, 18.6%) and TP53mut (n = 10, 14.3%). The NGS method showed 98.6% (69 of 70 cases, kappa value 98%) in concordance with the cases assessed by immunohistochemistry (IHC). Among the seven dead cases, four were MSI-H tumors, two were TP53mut/p53abn tumors, and one was NSMP tumors with an average overall survival (OS) of 14.7 months. TP53mut subgroup showed that poor OS rates and POLE group have favorable prognosis. Our work suggested that the 11-gene panel is suitable for molecular classification in G3 EECs and for guiding prognosis and treatment decisions. |
format | Online Article Text |
id | pubmed-9394115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93941152022-08-23 Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing–based gene panel Li, Ling Chen, Fangfang Liu, Jingcheng Zhu, Weifeng Lin, Liang Chen, Li Shi, Yi Lin, An Chen, Gang Front Oncol Oncology Over the past two decades, the incidence of endometrial cancer (EC) is increasing, and there is a need for molecular biomarkers to predict prognosis and guide treatment. A recent study from The Cancer Genome Atlas suggested to implement the EC analysis by molecular profile for improving diagnosis, prognosis, and therapeutic treatment. In this study, next-generation sequencing was performed on 70 cases of G3 endometrioid ECs (EECs) using an 11-gene panel (TP53, MLH1, MSH2, MSH6, PMS2, EPCAM, PIK3CA, CTNNB1, KRAS, PTEN, and POL) for molecular classification. The molecular classification based on the 11-gene NGS panel identified four molecular subgroups: POLE-ultramutated (n = 20, 28.6%), MSI-H (n = 27, 38.6%), NSMP (n = 13, 18.6%) and TP53mut (n = 10, 14.3%). The NGS method showed 98.6% (69 of 70 cases, kappa value 98%) in concordance with the cases assessed by immunohistochemistry (IHC). Among the seven dead cases, four were MSI-H tumors, two were TP53mut/p53abn tumors, and one was NSMP tumors with an average overall survival (OS) of 14.7 months. TP53mut subgroup showed that poor OS rates and POLE group have favorable prognosis. Our work suggested that the 11-gene panel is suitable for molecular classification in G3 EECs and for guiding prognosis and treatment decisions. Frontiers Media S.A. 2022-08-08 /pmc/articles/PMC9394115/ /pubmed/36003784 http://dx.doi.org/10.3389/fonc.2022.935694 Text en Copyright © 2022 Li, Chen, Liu, Zhu, Lin, Chen, Shi, Lin and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Li, Ling Chen, Fangfang Liu, Jingcheng Zhu, Weifeng Lin, Liang Chen, Li Shi, Yi Lin, An Chen, Gang Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing–based gene panel |
title | Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing–based gene panel |
title_full | Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing–based gene panel |
title_fullStr | Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing–based gene panel |
title_full_unstemmed | Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing–based gene panel |
title_short | Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing–based gene panel |
title_sort | molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing–based gene panel |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394115/ https://www.ncbi.nlm.nih.gov/pubmed/36003784 http://dx.doi.org/10.3389/fonc.2022.935694 |
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