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Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinoma
The increased amount of tertiary lymphoid structures (TLSs) is associated with a favorable prognosis in patients with lung adenocarcinoma (LUAD). However, evaluating TLSs manually is an experience-dependent and time-consuming process, which limits its clinical application. In this multi-center study...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474456/ https://www.ncbi.nlm.nih.gov/pubmed/37664636 http://dx.doi.org/10.1016/j.isci.2023.107635 |
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author | Wang, Yumeng Lin, Huan Yao, Ningning Chen, Xiaobo Qiu, Bingjiang Cui, Yanfen Liu, Yu Li, Bingbing Han, Chu Li, Zhenhui Zhao, Wei Wang, Zimin Pan, Xipeng Lu, Cheng Liu, Jun Liu, Zhenbing Liu, Zaiyi |
author_facet | Wang, Yumeng Lin, Huan Yao, Ningning Chen, Xiaobo Qiu, Bingjiang Cui, Yanfen Liu, Yu Li, Bingbing Han, Chu Li, Zhenhui Zhao, Wei Wang, Zimin Pan, Xipeng Lu, Cheng Liu, Jun Liu, Zhenbing Liu, Zaiyi |
author_sort | Wang, Yumeng |
collection | PubMed |
description | The increased amount of tertiary lymphoid structures (TLSs) is associated with a favorable prognosis in patients with lung adenocarcinoma (LUAD). However, evaluating TLSs manually is an experience-dependent and time-consuming process, which limits its clinical application. In this multi-center study, we developed an automated computational workflow for quantifying the TLS density in the tumor region of routine hematoxylin and eosin (H&E)-stained whole-slide images (WSIs). The association between the computerized TLS density and disease-free survival (DFS) was further explored in 802 patients with resectable LUAD of three cohorts. Additionally, a Cox proportional hazard regression model, incorporating clinicopathological variables and the TLS density, was established to assess its prognostic ability. The computerized TLS density was an independent prognostic biomarker in patients with resectable LUAD. The integration of the TLS density with clinicopathological variables could support individualized clinical decision-making by improving prognostic stratification. |
format | Online Article Text |
id | pubmed-10474456 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104744562023-09-03 Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinoma Wang, Yumeng Lin, Huan Yao, Ningning Chen, Xiaobo Qiu, Bingjiang Cui, Yanfen Liu, Yu Li, Bingbing Han, Chu Li, Zhenhui Zhao, Wei Wang, Zimin Pan, Xipeng Lu, Cheng Liu, Jun Liu, Zhenbing Liu, Zaiyi iScience Article The increased amount of tertiary lymphoid structures (TLSs) is associated with a favorable prognosis in patients with lung adenocarcinoma (LUAD). However, evaluating TLSs manually is an experience-dependent and time-consuming process, which limits its clinical application. In this multi-center study, we developed an automated computational workflow for quantifying the TLS density in the tumor region of routine hematoxylin and eosin (H&E)-stained whole-slide images (WSIs). The association between the computerized TLS density and disease-free survival (DFS) was further explored in 802 patients with resectable LUAD of three cohorts. Additionally, a Cox proportional hazard regression model, incorporating clinicopathological variables and the TLS density, was established to assess its prognostic ability. The computerized TLS density was an independent prognostic biomarker in patients with resectable LUAD. The integration of the TLS density with clinicopathological variables could support individualized clinical decision-making by improving prognostic stratification. Elsevier 2023-08-16 /pmc/articles/PMC10474456/ /pubmed/37664636 http://dx.doi.org/10.1016/j.isci.2023.107635 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Wang, Yumeng Lin, Huan Yao, Ningning Chen, Xiaobo Qiu, Bingjiang Cui, Yanfen Liu, Yu Li, Bingbing Han, Chu Li, Zhenhui Zhao, Wei Wang, Zimin Pan, Xipeng Lu, Cheng Liu, Jun Liu, Zhenbing Liu, Zaiyi Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinoma |
title | Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinoma |
title_full | Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinoma |
title_fullStr | Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinoma |
title_full_unstemmed | Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinoma |
title_short | Computerized tertiary lymphoid structures density on H&E-images is a prognostic biomarker in resectable lung adenocarcinoma |
title_sort | computerized tertiary lymphoid structures density on h&e-images is a prognostic biomarker in resectable lung adenocarcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474456/ https://www.ncbi.nlm.nih.gov/pubmed/37664636 http://dx.doi.org/10.1016/j.isci.2023.107635 |
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