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Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis

The magnitude of the immune response is closely associated with clinical outcome in patients with cancer. However, finding potential therapeutic targets for lung cancer in the immune system remains challenging. Here, we constructed a vital immune‐prognosis genes (VIPGs) based cluster of lung adenoca...

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Autores principales: Qin, Fang‐lu, Xu, Zhan‐yu, Yuan, Li‐qiang, Chen, Wen‐jie, Wei, Jiang‐bo, Sun, Yu, Li, Shi‐kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459417/
https://www.ncbi.nlm.nih.gov/pubmed/32686362
http://dx.doi.org/10.1002/2211-5463.12934
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author Qin, Fang‐lu
Xu, Zhan‐yu
Yuan, Li‐qiang
Chen, Wen‐jie
Wei, Jiang‐bo
Sun, Yu
Li, Shi‐kang
author_facet Qin, Fang‐lu
Xu, Zhan‐yu
Yuan, Li‐qiang
Chen, Wen‐jie
Wei, Jiang‐bo
Sun, Yu
Li, Shi‐kang
author_sort Qin, Fang‐lu
collection PubMed
description The magnitude of the immune response is closely associated with clinical outcome in patients with cancer. However, finding potential therapeutic targets for lung cancer in the immune system remains challenging. Here, we constructed a vital immune‐prognosis genes (VIPGs) based cluster of lung adenocarcinoma (LUAD) from IMMPORT databases and The Cancer Genome Atlas. A transcription factor regulatory network for the VIPGs was also established. The tumor microenvironment of LUAD was analyzed using the ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data) algorithm and single‐sample Gene Set Enrichment Analysis. The immune checkpoints and genomic alterations were explored in the different immune clusters. We identified 15 VIPGs for patients with LUAD and clustered the patients into low‐immunity and high‐immunity subtypes. The immune score, stromal score and ESTIMATE score were significantly higher in the high‐immunity subtype, whereas tumor purity was higher in the low‐immunity subtype. In addition, the immune checkpoints cytotoxic T lymphocyte associate protein‐4(CTLA4), programmed cell death protein‐1 and programmed death‐ligand were elevated in the low‐immunity subtype. The genomic results also showed that the tumor mutation burden was higher in the high‐immunity subtype. Finally, Gene Set Enrichment Analysis showed that several immune‐related gene sets, including interleukin‐2/STAT5 signaling, inflammatory response, interleukin‐6/Janus kinase(JAK)/signal transducer and activator of transcription 3 (STAT3) signaling, interferon‐gamma response and allograft rejection, were elevated in the high‐immunity subtype. Finally, high‐immunity patients exhibited greater overall and disease‐specific survival outcome compared with low‐immunity patients (log rank P = 0.013 and P = 0.0097). Altogether, here we have identified 15 immune‐prognosis genes and a potential immune subtype for patients with LUAD, which may provide new insights into the prognosis and treatment of LUAD.
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spelling pubmed-74594172020-09-03 Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis Qin, Fang‐lu Xu, Zhan‐yu Yuan, Li‐qiang Chen, Wen‐jie Wei, Jiang‐bo Sun, Yu Li, Shi‐kang FEBS Open Bio Research Articles The magnitude of the immune response is closely associated with clinical outcome in patients with cancer. However, finding potential therapeutic targets for lung cancer in the immune system remains challenging. Here, we constructed a vital immune‐prognosis genes (VIPGs) based cluster of lung adenocarcinoma (LUAD) from IMMPORT databases and The Cancer Genome Atlas. A transcription factor regulatory network for the VIPGs was also established. The tumor microenvironment of LUAD was analyzed using the ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data) algorithm and single‐sample Gene Set Enrichment Analysis. The immune checkpoints and genomic alterations were explored in the different immune clusters. We identified 15 VIPGs for patients with LUAD and clustered the patients into low‐immunity and high‐immunity subtypes. The immune score, stromal score and ESTIMATE score were significantly higher in the high‐immunity subtype, whereas tumor purity was higher in the low‐immunity subtype. In addition, the immune checkpoints cytotoxic T lymphocyte associate protein‐4(CTLA4), programmed cell death protein‐1 and programmed death‐ligand were elevated in the low‐immunity subtype. The genomic results also showed that the tumor mutation burden was higher in the high‐immunity subtype. Finally, Gene Set Enrichment Analysis showed that several immune‐related gene sets, including interleukin‐2/STAT5 signaling, inflammatory response, interleukin‐6/Janus kinase(JAK)/signal transducer and activator of transcription 3 (STAT3) signaling, interferon‐gamma response and allograft rejection, were elevated in the high‐immunity subtype. Finally, high‐immunity patients exhibited greater overall and disease‐specific survival outcome compared with low‐immunity patients (log rank P = 0.013 and P = 0.0097). Altogether, here we have identified 15 immune‐prognosis genes and a potential immune subtype for patients with LUAD, which may provide new insights into the prognosis and treatment of LUAD. John Wiley and Sons Inc. 2020-08-26 /pmc/articles/PMC7459417/ /pubmed/32686362 http://dx.doi.org/10.1002/2211-5463.12934 Text en © 2020 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Qin, Fang‐lu
Xu, Zhan‐yu
Yuan, Li‐qiang
Chen, Wen‐jie
Wei, Jiang‐bo
Sun, Yu
Li, Shi‐kang
Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis
title Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis
title_full Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis
title_fullStr Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis
title_full_unstemmed Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis
title_short Novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis
title_sort novel immune subtypes of lung adenocarcinoma identified through bioinformatic analysis
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459417/
https://www.ncbi.nlm.nih.gov/pubmed/32686362
http://dx.doi.org/10.1002/2211-5463.12934
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