Metagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early‐Stage Nonsmoking Lung Adenocarcinoma Patients
ABSTRACT Background The mycobiome in the tumor microenvironment of non‐smokers with early‐stage lung adenocarcinoma (ES‐LUAD) has been minimally investigated. Methods In this study, we conducted ultra‐deep metagenomic and transcriptomic sequencing on 128 samples collected from 46 nonsmoking ES‐LUAD...
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2025-01-01
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Online Access: | https://doi.org/10.1111/1759-7714.15527 |
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author | Yaohui Sun Zhiming Gan Shijiancong Liu Sheng Zhang Wei Zhong Jian Liu Xiuting Huang Wei He Hongcheng Zhong Qingdong Cao |
author_facet | Yaohui Sun Zhiming Gan Shijiancong Liu Sheng Zhang Wei Zhong Jian Liu Xiuting Huang Wei He Hongcheng Zhong Qingdong Cao |
author_sort | Yaohui Sun |
collection | DOAJ |
description | ABSTRACT Background The mycobiome in the tumor microenvironment of non‐smokers with early‐stage lung adenocarcinoma (ES‐LUAD) has been minimally investigated. Methods In this study, we conducted ultra‐deep metagenomic and transcriptomic sequencing on 128 samples collected from 46 nonsmoking ES‐LUAD patients and 41 healthy controls (HC), aiming to characterize the tumor‐resident mycobiome and its interactions with the host. Results The results revealed that ES‐LUAD patients exhibited fungal dysbiosis characterized by reduced species diversity and significant imbalances in specific fungal abundances. Concurrently, microbial functional analysis revealed significant alterations associated with genes such as ribosomal proteins and histones. We observed correlations between Yarrowia lipolytica, Saccharomyces paradoxus, and tumor‐infiltrating immune cells (TIICs), and identified a strong association (|rho| > 0.7) between S. paradoxus and 14 transcription factors. A signature of three prognostic genes (GRIA1, CDO1, FHL1) closely associated with S. paradoxus was identified and they suggest that the interaction between the mycobiome and the host may contribute to prolonged overall survival (OS). Finally, a predictive model based on six fungi demonstrated decent classification performance in distinguishing ES‐LUAD cases from HCs (AUC = 0.724). Conclusions Our study demonstrates that the interactions between the mycobiome and transcriptome within tumors may help elucidate the pathogenic mechanisms of ES‐LUAD. Fungi, as a potential predictive tool, can be used as an additional resource for accurately detecting and discriminating individuals with ES‐LUAD. |
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institution | Kabale University |
issn | 1759-7706 1759-7714 |
language | English |
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series | Thoracic Cancer |
spelling | doaj-art-d4ce2e2423e545edae4d350ee623cbb32025-01-30T22:40:34ZengWileyThoracic Cancer1759-77061759-77142025-01-01162n/an/a10.1111/1759-7714.15527Metagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early‐Stage Nonsmoking Lung Adenocarcinoma PatientsYaohui Sun0Zhiming Gan1Shijiancong Liu2Sheng Zhang3Wei Zhong4Jian Liu5Xiuting Huang6Wei He7Hongcheng Zhong8Qingdong Cao9Department of Thoracic Surgery and Lung Transplantation The Fifth Affiliated Hospital of Sun Yat‐Sen University Zhuhai Guangdong ChinaGuangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging The Fifth Affiliated Hospital of Sun Yat‐Sen University Zhuhai Guangdong ChinaDepartment of Thoracic Surgery and Lung Transplantation The Fifth Affiliated Hospital of Sun Yat‐Sen University Zhuhai Guangdong ChinaDepartment of Thoracic Surgery General Hospital of Ningxia Medical University Yinchuan Ningxia ChinaDepartment of Thoracic Surgery and Lung Transplantation The Fifth Affiliated Hospital of Sun Yat‐Sen University Zhuhai Guangdong ChinaDepartment of Thoracic Surgery and Lung Transplantation The Fifth Affiliated Hospital of Sun Yat‐Sen University Zhuhai Guangdong ChinaGuangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging The Fifth Affiliated Hospital of Sun Yat‐Sen University Zhuhai Guangdong ChinaDepartment of Thoracic Surgery General Hospital of Ningxia Medical University Yinchuan Ningxia ChinaDepartment of Thoracic Surgery and Lung Transplantation The Fifth Affiliated Hospital of Sun Yat‐Sen University Zhuhai Guangdong ChinaDepartment of Thoracic Surgery and Lung Transplantation The Fifth Affiliated Hospital of Sun Yat‐Sen University Zhuhai Guangdong ChinaABSTRACT Background The mycobiome in the tumor microenvironment of non‐smokers with early‐stage lung adenocarcinoma (ES‐LUAD) has been minimally investigated. Methods In this study, we conducted ultra‐deep metagenomic and transcriptomic sequencing on 128 samples collected from 46 nonsmoking ES‐LUAD patients and 41 healthy controls (HC), aiming to characterize the tumor‐resident mycobiome and its interactions with the host. Results The results revealed that ES‐LUAD patients exhibited fungal dysbiosis characterized by reduced species diversity and significant imbalances in specific fungal abundances. Concurrently, microbial functional analysis revealed significant alterations associated with genes such as ribosomal proteins and histones. We observed correlations between Yarrowia lipolytica, Saccharomyces paradoxus, and tumor‐infiltrating immune cells (TIICs), and identified a strong association (|rho| > 0.7) between S. paradoxus and 14 transcription factors. A signature of three prognostic genes (GRIA1, CDO1, FHL1) closely associated with S. paradoxus was identified and they suggest that the interaction between the mycobiome and the host may contribute to prolonged overall survival (OS). Finally, a predictive model based on six fungi demonstrated decent classification performance in distinguishing ES‐LUAD cases from HCs (AUC = 0.724). Conclusions Our study demonstrates that the interactions between the mycobiome and transcriptome within tumors may help elucidate the pathogenic mechanisms of ES‐LUAD. Fungi, as a potential predictive tool, can be used as an additional resource for accurately detecting and discriminating individuals with ES‐LUAD.https://doi.org/10.1111/1759-7714.15527correlation analysisearly‐stage lung adenocarcinomaintratumor mycobiomemulti‐omicspredictive model |
spellingShingle | Yaohui Sun Zhiming Gan Shijiancong Liu Sheng Zhang Wei Zhong Jian Liu Xiuting Huang Wei He Hongcheng Zhong Qingdong Cao Metagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early‐Stage Nonsmoking Lung Adenocarcinoma Patients Thoracic Cancer correlation analysis early‐stage lung adenocarcinoma intratumor mycobiome multi‐omics predictive model |
title | Metagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early‐Stage Nonsmoking Lung Adenocarcinoma Patients |
title_full | Metagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early‐Stage Nonsmoking Lung Adenocarcinoma Patients |
title_fullStr | Metagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early‐Stage Nonsmoking Lung Adenocarcinoma Patients |
title_full_unstemmed | Metagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early‐Stage Nonsmoking Lung Adenocarcinoma Patients |
title_short | Metagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early‐Stage Nonsmoking Lung Adenocarcinoma Patients |
title_sort | metagenomic and transcriptomic analysis reveals crosstalk between intratumor mycobiome and hosts in early stage nonsmoking lung adenocarcinoma patients |
topic | correlation analysis early‐stage lung adenocarcinoma intratumor mycobiome multi‐omics predictive model |
url | https://doi.org/10.1111/1759-7714.15527 |
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