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Establishment and validation of an eight-gene metabolic–related prognostic signature model for lung adenocarcinoma

In this study, we constructed an eight-gene metabolic related signature for LUAD. The eight-gene prognostic signature (including PLAUR, F2, UGT2B17, GNG7, IDO2, ST3GAL6, PIK3CG, and GLS2) exhibited a good prognostic value in the TCGA LUAD training dataset and testing dataset. In addition, the risk s...

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Autores principales: Ma, Weishuang, Liang, Jiaming, Liu, Jinhui, Tian, Dongbo, Chen, Zisheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034925/
https://www.ncbi.nlm.nih.gov/pubmed/33619235
http://dx.doi.org/10.18632/aging.202681
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author Ma, Weishuang
Liang, Jiaming
Liu, Jinhui
Tian, Dongbo
Chen, Zisheng
author_facet Ma, Weishuang
Liang, Jiaming
Liu, Jinhui
Tian, Dongbo
Chen, Zisheng
author_sort Ma, Weishuang
collection PubMed
description In this study, we constructed an eight-gene metabolic related signature for LUAD. The eight-gene prognostic signature (including PLAUR, F2, UGT2B17, GNG7, IDO2, ST3GAL6, PIK3CG, and GLS2) exhibited a good prognostic value in the TCGA LUAD training dataset and testing dataset. In addition, the risk score based on the signature model was significantly correlated with immune cell infiltration and expression levels of immune markers in LUAD patients. LUAD cohorts from GEO were used to validate the model, indicating the usefulness of the model. In summary, we developed and validated an eight-gene signature model for LUAD, which can reflect the immune microenvironment characteristics and predict the prognostic outcomes for LUAD patients.
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spelling pubmed-80349252021-04-16 Establishment and validation of an eight-gene metabolic–related prognostic signature model for lung adenocarcinoma Ma, Weishuang Liang, Jiaming Liu, Jinhui Tian, Dongbo Chen, Zisheng Aging (Albany NY) Research Paper In this study, we constructed an eight-gene metabolic related signature for LUAD. The eight-gene prognostic signature (including PLAUR, F2, UGT2B17, GNG7, IDO2, ST3GAL6, PIK3CG, and GLS2) exhibited a good prognostic value in the TCGA LUAD training dataset and testing dataset. In addition, the risk score based on the signature model was significantly correlated with immune cell infiltration and expression levels of immune markers in LUAD patients. LUAD cohorts from GEO were used to validate the model, indicating the usefulness of the model. In summary, we developed and validated an eight-gene signature model for LUAD, which can reflect the immune microenvironment characteristics and predict the prognostic outcomes for LUAD patients. Impact Journals 2021-02-22 /pmc/articles/PMC8034925/ /pubmed/33619235 http://dx.doi.org/10.18632/aging.202681 Text en Copyright: © 2021 Ma et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Ma, Weishuang
Liang, Jiaming
Liu, Jinhui
Tian, Dongbo
Chen, Zisheng
Establishment and validation of an eight-gene metabolic–related prognostic signature model for lung adenocarcinoma
title Establishment and validation of an eight-gene metabolic–related prognostic signature model for lung adenocarcinoma
title_full Establishment and validation of an eight-gene metabolic–related prognostic signature model for lung adenocarcinoma
title_fullStr Establishment and validation of an eight-gene metabolic–related prognostic signature model for lung adenocarcinoma
title_full_unstemmed Establishment and validation of an eight-gene metabolic–related prognostic signature model for lung adenocarcinoma
title_short Establishment and validation of an eight-gene metabolic–related prognostic signature model for lung adenocarcinoma
title_sort establishment and validation of an eight-gene metabolic–related prognostic signature model for lung adenocarcinoma
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034925/
https://www.ncbi.nlm.nih.gov/pubmed/33619235
http://dx.doi.org/10.18632/aging.202681
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