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Implications of different cell death patterns for prognosis and immunity in lung adenocarcinoma

In recent years, lung adenocarcinoma (LUAD) has become a focus of attention due to its low response to treatment, poor prognosis, and lack of reliable indicators to predict the progression or therapeutic effect of LUAD. Different cell death patterns play a crucial role in tumor development and are p...

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Autores principales: Zhou, Yang, Gao, Weitong, Xu, Yu, Wang, Jiale, Wang, Xueying, Shan, Liying, Du, Lijuan, Sun, Qingyu, Li, Hongyan, Liu, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651893/
https://www.ncbi.nlm.nih.gov/pubmed/37968457
http://dx.doi.org/10.1038/s41698-023-00456-y
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author Zhou, Yang
Gao, Weitong
Xu, Yu
Wang, Jiale
Wang, Xueying
Shan, Liying
Du, Lijuan
Sun, Qingyu
Li, Hongyan
Liu, Fang
author_facet Zhou, Yang
Gao, Weitong
Xu, Yu
Wang, Jiale
Wang, Xueying
Shan, Liying
Du, Lijuan
Sun, Qingyu
Li, Hongyan
Liu, Fang
author_sort Zhou, Yang
collection PubMed
description In recent years, lung adenocarcinoma (LUAD) has become a focus of attention due to its low response to treatment, poor prognosis, and lack of reliable indicators to predict the progression or therapeutic effect of LUAD. Different cell death patterns play a crucial role in tumor development and are promising for predicting LUAD prognosis. From the TCGA and GEO databases, we obtained bulk transcriptomes, single-cell transcriptomes, and clinical information. Genes in 15 types of cell death were analyzed for cell death index (CDI) signature establishment. The CDI signature using necroptosis + immunologic cell death-related genes was established in the TCGA cohort with the 1-, 2-, 3-, 4- and 5-year AUC values were 0.772, 0.736, 0.723, 0.795, and 0.743, respectively. The prognosis was significantly better in the low CDI group than in the high CDI group. We also investigated the relationship between the CDI signature and clinical variables, published prognosis biomarkers, immune cell infiltration, functional enrichment pathways, and immunity biomarkers. In vitro assay showed that HNRNPF and FGF2 promoted lung cancer cell proliferation and migration and were also involved in cell death. Therefore, as a robust prognosis biomarker, CDI signatures can screen for patients who might benefit from immunotherapy and improve diagnostic accuracy and LUAD patient outcomes.
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spelling pubmed-106518932023-11-15 Implications of different cell death patterns for prognosis and immunity in lung adenocarcinoma Zhou, Yang Gao, Weitong Xu, Yu Wang, Jiale Wang, Xueying Shan, Liying Du, Lijuan Sun, Qingyu Li, Hongyan Liu, Fang NPJ Precis Oncol Article In recent years, lung adenocarcinoma (LUAD) has become a focus of attention due to its low response to treatment, poor prognosis, and lack of reliable indicators to predict the progression or therapeutic effect of LUAD. Different cell death patterns play a crucial role in tumor development and are promising for predicting LUAD prognosis. From the TCGA and GEO databases, we obtained bulk transcriptomes, single-cell transcriptomes, and clinical information. Genes in 15 types of cell death were analyzed for cell death index (CDI) signature establishment. The CDI signature using necroptosis + immunologic cell death-related genes was established in the TCGA cohort with the 1-, 2-, 3-, 4- and 5-year AUC values were 0.772, 0.736, 0.723, 0.795, and 0.743, respectively. The prognosis was significantly better in the low CDI group than in the high CDI group. We also investigated the relationship between the CDI signature and clinical variables, published prognosis biomarkers, immune cell infiltration, functional enrichment pathways, and immunity biomarkers. In vitro assay showed that HNRNPF and FGF2 promoted lung cancer cell proliferation and migration and were also involved in cell death. Therefore, as a robust prognosis biomarker, CDI signatures can screen for patients who might benefit from immunotherapy and improve diagnostic accuracy and LUAD patient outcomes. Nature Publishing Group UK 2023-11-15 /pmc/articles/PMC10651893/ /pubmed/37968457 http://dx.doi.org/10.1038/s41698-023-00456-y 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zhou, Yang
Gao, Weitong
Xu, Yu
Wang, Jiale
Wang, Xueying
Shan, Liying
Du, Lijuan
Sun, Qingyu
Li, Hongyan
Liu, Fang
Implications of different cell death patterns for prognosis and immunity in lung adenocarcinoma
title Implications of different cell death patterns for prognosis and immunity in lung adenocarcinoma
title_full Implications of different cell death patterns for prognosis and immunity in lung adenocarcinoma
title_fullStr Implications of different cell death patterns for prognosis and immunity in lung adenocarcinoma
title_full_unstemmed Implications of different cell death patterns for prognosis and immunity in lung adenocarcinoma
title_short Implications of different cell death patterns for prognosis and immunity in lung adenocarcinoma
title_sort implications of different cell death patterns for prognosis and immunity in lung adenocarcinoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651893/
https://www.ncbi.nlm.nih.gov/pubmed/37968457
http://dx.doi.org/10.1038/s41698-023-00456-y
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