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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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