Metatranscriptomic Analysis of Human Lung Metagenomes from Patients with Lung Cancer
This study was designed to characterize the microbiomes of the lung tissues of lung cancer patients. RNA-sequencing was performed on lung tumor samples from 49 patients with lung cancer. Metatranscriptomics data were analyzed using SAMSA2 and Kraken2 software. 16S rRNA sequencing was also performed....
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doaj-c007c1fc424547dfba4a28bf4f676e592021-09-26T00:13:42ZengMDPI AGGenes2073-44252021-09-01121458145810.3390/genes12091458Metatranscriptomic Analysis of Human Lung Metagenomes from Patients with Lung CancerYa-Sian Chang0Ming-Hung Hsu1Siang-Jyun Tu2Ju-Chen Yen3Ya-Ting Lee4Hsin-Yuan Fang5Jan-Gowth Chang6Epigenome Research Center, China Medical University Hospital, Taichung 404, TaiwanCenter for Precision Medicine, China Medical University Hospital, Taichung 404, TaiwanCenter for Precision Medicine, China Medical University Hospital, Taichung 404, TaiwanEpigenome Research Center, China Medical University Hospital, Taichung 404, TaiwanEpigenome Research Center, China Medical University Hospital, Taichung 404, TaiwanDepartment of Thoracic Surgery, China Medical University Hospital, Taichung 404, TaiwanEpigenome Research Center, China Medical University Hospital, Taichung 404, TaiwanThis study was designed to characterize the microbiomes of the lung tissues of lung cancer patients. RNA-sequencing was performed on lung tumor samples from 49 patients with lung cancer. Metatranscriptomics data were analyzed using SAMSA2 and Kraken2 software. 16S rRNA sequencing was also performed. The heterogeneous cellular landscape and immune repertoires of the lung samples were examined using xCell and TRUST4, respectively. We found that nine bacteria were significantly enriched in the lung tissues of cancer patients, and associated with reduced overall survival (OS). We also found that subjects with mutations in the epidermal growth factor receptor gene were less likely to experience the presence of <i>Pseudomonas. aeruginosa</i>. We found that the presence of CD8+ T-cells, CD4+ naive T-cells, dendritic cells, and CD4+ central memory T cells were associated with a good prognosis, while the presence of pro B-cells was associated with a poor prognosis. Furthermore, high clone numbers were associated with a high ImmuneScore for all immune receptor repertoires. Clone numbers and diversity were significantly higher in unpresented subjects compared to presented subjects. Our results provide insight into the microbiota of human lung cancer, and how its composition is linked to the tumor immune microenvironment, immune receptor repertoires, and OS.https://www.mdpi.com/2073-4425/12/9/1458metatranscriptomiclung cancermicroenvironmentsT cell receptor repertoiresB cell receptor repertoires |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ya-Sian Chang Ming-Hung Hsu Siang-Jyun Tu Ju-Chen Yen Ya-Ting Lee Hsin-Yuan Fang Jan-Gowth Chang |
spellingShingle |
Ya-Sian Chang Ming-Hung Hsu Siang-Jyun Tu Ju-Chen Yen Ya-Ting Lee Hsin-Yuan Fang Jan-Gowth Chang Metatranscriptomic Analysis of Human Lung Metagenomes from Patients with Lung Cancer Genes metatranscriptomic lung cancer microenvironments T cell receptor repertoires B cell receptor repertoires |
author_facet |
Ya-Sian Chang Ming-Hung Hsu Siang-Jyun Tu Ju-Chen Yen Ya-Ting Lee Hsin-Yuan Fang Jan-Gowth Chang |
author_sort |
Ya-Sian Chang |
title |
Metatranscriptomic Analysis of Human Lung Metagenomes from Patients with Lung Cancer |
title_short |
Metatranscriptomic Analysis of Human Lung Metagenomes from Patients with Lung Cancer |
title_full |
Metatranscriptomic Analysis of Human Lung Metagenomes from Patients with Lung Cancer |
title_fullStr |
Metatranscriptomic Analysis of Human Lung Metagenomes from Patients with Lung Cancer |
title_full_unstemmed |
Metatranscriptomic Analysis of Human Lung Metagenomes from Patients with Lung Cancer |
title_sort |
metatranscriptomic analysis of human lung metagenomes from patients with lung cancer |
publisher |
MDPI AG |
series |
Genes |
issn |
2073-4425 |
publishDate |
2021-09-01 |
description |
This study was designed to characterize the microbiomes of the lung tissues of lung cancer patients. RNA-sequencing was performed on lung tumor samples from 49 patients with lung cancer. Metatranscriptomics data were analyzed using SAMSA2 and Kraken2 software. 16S rRNA sequencing was also performed. The heterogeneous cellular landscape and immune repertoires of the lung samples were examined using xCell and TRUST4, respectively. We found that nine bacteria were significantly enriched in the lung tissues of cancer patients, and associated with reduced overall survival (OS). We also found that subjects with mutations in the epidermal growth factor receptor gene were less likely to experience the presence of <i>Pseudomonas. aeruginosa</i>. We found that the presence of CD8+ T-cells, CD4+ naive T-cells, dendritic cells, and CD4+ central memory T cells were associated with a good prognosis, while the presence of pro B-cells was associated with a poor prognosis. Furthermore, high clone numbers were associated with a high ImmuneScore for all immune receptor repertoires. Clone numbers and diversity were significantly higher in unpresented subjects compared to presented subjects. Our results provide insight into the microbiota of human lung cancer, and how its composition is linked to the tumor immune microenvironment, immune receptor repertoires, and OS. |
topic |
metatranscriptomic lung cancer microenvironments T cell receptor repertoires B cell receptor repertoires |
url |
https://www.mdpi.com/2073-4425/12/9/1458 |
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