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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Main Authors: Yaohui Sun, Zhiming Gan, Shijiancong Liu, Sheng Zhang, Wei Zhong, Jian Liu, Xiuting Huang, Wei He, Hongcheng Zhong, Qingdong Cao
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:Thoracic Cancer
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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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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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