Screening of potential microbial markers for lung cancer using metagenomic sequencing
Abstract Introduction Lung cancer is the most prevalent cancer with high mortality in China, and it is associated with the dysbiosis of the lung microbiome. This study attempted to screen for specific microorganisms as potential biomarkers for distinguishing benign lung disease from lung cancer. Met...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-03-01
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| Series: | Cancer Medicine |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/cam4.5513 |
| _version_ | 1827974979847716864 |
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| author | Qiang Chen Kai Hou Mingze Tang Shuo Ying Xiaoyun Zhao Guanhua Li Jianhui Pan Xiaomin He Han Xia Yuechuan Li Zheng Lou Li Zhang |
| author_facet | Qiang Chen Kai Hou Mingze Tang Shuo Ying Xiaoyun Zhao Guanhua Li Jianhui Pan Xiaomin He Han Xia Yuechuan Li Zheng Lou Li Zhang |
| author_sort | Qiang Chen |
| collection | DOAJ |
| description | Abstract Introduction Lung cancer is the most prevalent cancer with high mortality in China, and it is associated with the dysbiosis of the lung microbiome. This study attempted to screen for specific microorganisms as potential biomarkers for distinguishing benign lung disease from lung cancer. Methods Bronchoalveolar lavage fluid (BALF) sample was selected in the study instead of saliva to avoid contamination with oral microorganisms, and microbial taxonomic and functional differences in BALF samples from patients with lung cancer and those with those from patients with benign lung diseases were performed based on metagenomic next‐generation sequencing, for the first time, so that microorganisms other than bacteria could be included. Results The results showed that the intrasample diversity of malignant samples was different from benign samples, and the microbial differences among malignant samples were smaller, with lower microbial diversity, significantly changed microbial abundance and metabolic functions. Metabolic function analysis revealed amino acid‐related metabolism was more prevalent in benign samples, whereas carbohydrate‐related metabolism was more prevalent in malignant samples. By LEfSe, Metastat and Random Forest analysis, we identified a series of important differential microorganisms. Importantly, the model combining five key genera plus one tumor marker (neuron‐specific enolase) as indicators presented the optimal disease typing performance. Conclusion Thus results suggest the value of these differential microorganisms enriched in tumors in mechanism research and may be potential new targets for lung cancer therapy. More importantly, the biomarkers identified in this study can be conducive to improve the clinical diagnosis of lung cancer and have good application prospects. |
| first_indexed | 2024-04-09T20:02:50Z |
| format | Article |
| id | doaj.art-57fa592d7d874bdba990e685479b5158 |
| institution | Directory Open Access Journal |
| issn | 2045-7634 |
| language | English |
| last_indexed | 2024-04-09T20:02:50Z |
| publishDate | 2023-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Medicine |
| spelling | doaj.art-57fa592d7d874bdba990e685479b51582023-04-02T20:55:00ZengWileyCancer Medicine2045-76342023-03-011267127713910.1002/cam4.5513Screening of potential microbial markers for lung cancer using metagenomic sequencingQiang Chen0Kai Hou1Mingze Tang2Shuo Ying3Xiaoyun Zhao4Guanhua Li5Jianhui Pan6Xiaomin He7Han Xia8Yuechuan Li9Zheng Lou10Li Zhang11Tianjin Chest Hospital Tianjin ChinaTianjin Chest Hospital Tianjin ChinaHugobiotech Co., Ltd. Beijing ChinaTianjin Chest Hospital Tianjin ChinaTianjin Chest Hospital Tianjin ChinaTianjin Chest Hospital Tianjin ChinaTianjin Chest Hospital Tianjin ChinaHugobiotech Co., Ltd. Beijing ChinaHugobiotech Co., Ltd. Beijing ChinaTianjin Chest Hospital Tianjin ChinaHugobiotech Co., Ltd. Beijing ChinaTianjin Chest Hospital Tianjin ChinaAbstract Introduction Lung cancer is the most prevalent cancer with high mortality in China, and it is associated with the dysbiosis of the lung microbiome. This study attempted to screen for specific microorganisms as potential biomarkers for distinguishing benign lung disease from lung cancer. Methods Bronchoalveolar lavage fluid (BALF) sample was selected in the study instead of saliva to avoid contamination with oral microorganisms, and microbial taxonomic and functional differences in BALF samples from patients with lung cancer and those with those from patients with benign lung diseases were performed based on metagenomic next‐generation sequencing, for the first time, so that microorganisms other than bacteria could be included. Results The results showed that the intrasample diversity of malignant samples was different from benign samples, and the microbial differences among malignant samples were smaller, with lower microbial diversity, significantly changed microbial abundance and metabolic functions. Metabolic function analysis revealed amino acid‐related metabolism was more prevalent in benign samples, whereas carbohydrate‐related metabolism was more prevalent in malignant samples. By LEfSe, Metastat and Random Forest analysis, we identified a series of important differential microorganisms. Importantly, the model combining five key genera plus one tumor marker (neuron‐specific enolase) as indicators presented the optimal disease typing performance. Conclusion Thus results suggest the value of these differential microorganisms enriched in tumors in mechanism research and may be potential new targets for lung cancer therapy. More importantly, the biomarkers identified in this study can be conducive to improve the clinical diagnosis of lung cancer and have good application prospects.https://doi.org/10.1002/cam4.5513bronchoalveolar lavage fluiddisease typing biomarkerslung cancerlung microbiomemetagenomic next‐generation sequencing |
| spellingShingle | Qiang Chen Kai Hou Mingze Tang Shuo Ying Xiaoyun Zhao Guanhua Li Jianhui Pan Xiaomin He Han Xia Yuechuan Li Zheng Lou Li Zhang Screening of potential microbial markers for lung cancer using metagenomic sequencing Cancer Medicine bronchoalveolar lavage fluid disease typing biomarkers lung cancer lung microbiome metagenomic next‐generation sequencing |
| title | Screening of potential microbial markers for lung cancer using metagenomic sequencing |
| title_full | Screening of potential microbial markers for lung cancer using metagenomic sequencing |
| title_fullStr | Screening of potential microbial markers for lung cancer using metagenomic sequencing |
| title_full_unstemmed | Screening of potential microbial markers for lung cancer using metagenomic sequencing |
| title_short | Screening of potential microbial markers for lung cancer using metagenomic sequencing |
| title_sort | screening of potential microbial markers for lung cancer using metagenomic sequencing |
| topic | bronchoalveolar lavage fluid disease typing biomarkers lung cancer lung microbiome metagenomic next‐generation sequencing |
| url | https://doi.org/10.1002/cam4.5513 |
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