PTTM: dissecting the profile of tumor tissue microbiome to reveal microbiota features and associations with host transcriptome

Microbiota is present in the human tissue microenvironment and closely related to tumorigenesis and treatment. However, the landscape of tissue microbiome and its relationship with tumors remain less understood. In this study, we re-analyzed the omics data from the 7104 samples (94 projects for 15 cancers) in the NCBI database to obtain microbial profiles. After normalization and decontamination processing, we established classification models to distinguish between different tumors and tumor with adjacent normal tissues. The models had excellent performances, indicating that tissue microbiome had significant tumor specificity. Moreover, a series of key bacteria and bacteria-gene association pairs were screened out based on bioinformatic analysis, such as the tumor-promoting bacteria Fusobacterium, the tumor-suppressing bacteria Actinomyces, and the significant Rhodopseudomonas-COL1A1 association pair. In addition, we created a visual website, PTTM (http://198.46.152.196:7080/), for users to query and download the results. The identified key bacteria and association pairs provide candidate targets for further exploration of the molecular mechanisms of microbial action on tumorigenesis and the development of cancer therapy.

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Publication Details

Journal
Briefings in Bioinformatics
Published
2024-11-22
DOI
https://doi.org/10.1093/bib/bbaf057
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00

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article

PTTM: dissecting the profile of tumor tissue microbiome to reveal microbiota features and associations with host transcriptome

Xue Geng, Ruifang Gao, Dong Yu, Lu Sun et al.
Briefings in Bioinformatics
Gut microbiota and health
article

PTTM: dissecting the profile of tumor tissue microbiome to reveal microbiota features and associations with host transcriptome

Xue Geng, Ruifang Gao, Dong Yu, Lu Sun, Yue Mei, Runchen Yao
article en

Abstract

Microbiota is present in the human tissue microenvironment and closely related to tumorigenesis and treatment. However, the landscape of tissue microbiome and its relationship with tumors remain less understood. In this study, we re-analyzed the omics data from the 7104 samples (94 projects for 15 cancers) in the NCBI database to obtain microbial profiles. After normalization and decontamination processing, we established classification models to distinguish between different tumors and tumor with adjacent normal tissues. The models had excellent performances, indicating that tissue microbiome had significant tumor specificity. Moreover, a series of key bacteria and bacteria-gene association pairs were screened out based on bioinformatic analysis, such as the tumor-promoting bacteria Fusobacterium, the tumor-suppressing bacteria Actinomyces, and the significant Rhodopseudomonas-COL1A1 association pair. In addition, we created a visual website, PTTM (http://198.46.152.196:7080/), for users to query and download the results. The identified key bacteria and association pairs provide candidate targets for further exploration of the molecular mechanisms of microbial action on tumorigenesis and the development of cancer therapy.

Briefings in BioinformaticsVol. 26(1)
Naval Medical Research Command (US), University of Shanghai for Science and Technology (CN), Shanghai Cell Therapy Research Institute (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality
Good health and well-being
Openalex Percentile: Top 78%
Gut microbiota and health
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PTTM: dissecting the profile of tumor tissue microbiome to reveal microbiota features and associations with host transcriptome — Xue Geng, Ruifang Gao, et al. · Briefings in Bioinformatics (2024) | TGRS Research Map | TGRS