Evidence map›Paper›PMID 39924716›Full record

ArticleBriefings in bioinformatics2024

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

Ruiqian Yao, Lu Sun, Ruifang Gao, Yue Mei, Geng Xue, Dong Yu

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ruiqian YaoSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Lu SunDepartment of Precision Medicine, Translational Medicine Research Center, Naval Medical University, Xiang-Yin Road, 800, Shanghai 200433, China.
Ruifang GaoDepartment of Precision Medicine, Translational Medicine Research Center, Naval Medical University, Xiang-Yin Road, 800, Shanghai 200433, China.
Yue MeiDepartment of Precision Medicine, Translational Medicine Research Center, Naval Medical University, Xiang-Yin Road, 800, Shanghai 200433, China.
Geng XueDepartment of Medical Genetics, Naval Medical University, Xiang-Yin Road, 800, Shanghai 200433, China.
Dong YuDepartment of Precision Medicine, Translational Medicine Research Center, Naval Medical University, Xiang-Yin Road, 800, Shanghai 200433, China.ORCID 0000-0001-6089-4905

Funding

National Natural Science Foundation of China 81971402Shanghai Key Laboratory of Cell Engineering Program 14DZ2272300Shanghai Science and Technology Commission Sailing Program 20YF1458100
6 · The paper itself

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.

Indexed as

MicrobiotaNeoplasmsSoftwareTranscriptomeComputational BiologyHumanspan-cancertumor-promoting/suppressing microbestumor tissue microenvironment

Identifiers

PMID39924716
PMCPMC11807729

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.