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Complement-related molecular classification and a gene signature for lung adenocarcinoma
BACKGROUND: Lung adenocarcinoma (LUAD) is a major cause of cancer-related death worldwide, and the roles of complement-related genes in it have not been thoroughly investigated yet. In the study, we aimed to systemically examine the prognostic performance of complement-related genes, classify the pa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942347/ https://www.ncbi.nlm.nih.gov/pubmed/36810204 http://dx.doi.org/10.1186/s40164-023-00388-0 |
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author | Zhang, Lin Yang, Yannan Lin, Weihao Shao, Fei Gao, Yibo He, Jie |
author_facet | Zhang, Lin Yang, Yannan Lin, Weihao Shao, Fei Gao, Yibo He, Jie |
author_sort | Zhang, Lin |
collection | PubMed |
description | BACKGROUND: Lung adenocarcinoma (LUAD) is a major cause of cancer-related death worldwide, and the roles of complement-related genes in it have not been thoroughly investigated yet. In the study, we aimed to systemically examine the prognostic performance of complement-related genes, classify the patients into two different clusters and stratify the patients into different risk groups using a complement-related gene signature. METHODS: To achieve this, clustering analyses, Kaplan–Meier survival analyses, immune infiltration analyses were performed. LUAD patients from The Cancer Genome Atlas (TCGA) were classified into two subtypes (C1 and C2). A prognostic signature, consisting of four complement-related genes, was established using TCGA-LUAD cohort and validated in six Gene Expression Omnibus datasets and an independent cohort from our center. RESULTS: The prognosis of C2 patients is better than that of C1 patients and the prognosis of low risk patients is significantly better than high risk patients across the public datasets. In our cohort, the OS of patients in low risk group is better than that in high risk group but the difference is not significant. Patients with a lower risk score were characterized by a higher immune score, a higher level of BTLA, higher infiltration levels of T cells, B lineage, myeloid dendritic cells, neutrophils, endothelial cells, and a lower infiltration level of fibroblast. CONCLUSIONS: In summary, our study has established a new classification method and developed a prognostic signature for LUAD, while future studies are needed for further exploration of the underlying mechanism. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40164-023-00388-0. |
format | Online Article Text |
id | pubmed-9942347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-99423472023-02-22 Complement-related molecular classification and a gene signature for lung adenocarcinoma Zhang, Lin Yang, Yannan Lin, Weihao Shao, Fei Gao, Yibo He, Jie Exp Hematol Oncol Correspondence BACKGROUND: Lung adenocarcinoma (LUAD) is a major cause of cancer-related death worldwide, and the roles of complement-related genes in it have not been thoroughly investigated yet. In the study, we aimed to systemically examine the prognostic performance of complement-related genes, classify the patients into two different clusters and stratify the patients into different risk groups using a complement-related gene signature. METHODS: To achieve this, clustering analyses, Kaplan–Meier survival analyses, immune infiltration analyses were performed. LUAD patients from The Cancer Genome Atlas (TCGA) were classified into two subtypes (C1 and C2). A prognostic signature, consisting of four complement-related genes, was established using TCGA-LUAD cohort and validated in six Gene Expression Omnibus datasets and an independent cohort from our center. RESULTS: The prognosis of C2 patients is better than that of C1 patients and the prognosis of low risk patients is significantly better than high risk patients across the public datasets. In our cohort, the OS of patients in low risk group is better than that in high risk group but the difference is not significant. Patients with a lower risk score were characterized by a higher immune score, a higher level of BTLA, higher infiltration levels of T cells, B lineage, myeloid dendritic cells, neutrophils, endothelial cells, and a lower infiltration level of fibroblast. CONCLUSIONS: In summary, our study has established a new classification method and developed a prognostic signature for LUAD, while future studies are needed for further exploration of the underlying mechanism. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40164-023-00388-0. BioMed Central 2023-02-21 /pmc/articles/PMC9942347/ /pubmed/36810204 http://dx.doi.org/10.1186/s40164-023-00388-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Correspondence Zhang, Lin Yang, Yannan Lin, Weihao Shao, Fei Gao, Yibo He, Jie Complement-related molecular classification and a gene signature for lung adenocarcinoma |
title | Complement-related molecular classification and a gene signature for lung adenocarcinoma |
title_full | Complement-related molecular classification and a gene signature for lung adenocarcinoma |
title_fullStr | Complement-related molecular classification and a gene signature for lung adenocarcinoma |
title_full_unstemmed | Complement-related molecular classification and a gene signature for lung adenocarcinoma |
title_short | Complement-related molecular classification and a gene signature for lung adenocarcinoma |
title_sort | complement-related molecular classification and a gene signature for lung adenocarcinoma |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942347/ https://www.ncbi.nlm.nih.gov/pubmed/36810204 http://dx.doi.org/10.1186/s40164-023-00388-0 |
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