Evidence map›Paper›PMID 41472855›Full record

ArticleiMeta2025

The interplay between tissue-resident microbiome and host proteins by integrated multi-omics during progression of colorectal adenoma to carcinoma.

Di Wu, An-Jun Wang, De-Chao Bu, Yan-Yan Sun, Chen-Hao Li, Yue-Mei Hong, Shan Zhang, Shi-Yang Chen, Jin-An Zhou, Tian-Yi Zhang and 13 more

Abstract read
In one paragraph

Article in iMeta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

23 authors.

Di WuState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.
An-Jun WangState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.
De-Chao BuResearch Center for Ubiquitous Computing Systems, Institute of Computing Technology Chinese Academy of Sciences Beijing China.
Yan-Yan SunState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.
Chen-Hao LiResearch Center for Ubiquitous Computing Systems, Institute of Computing Technology Chinese Academy of Sciences Beijing China.
Yue-Mei HongState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.
Shan ZhangResearch Center for Ubiquitous Computing Systems, Institute of Computing Technology Chinese Academy of Sciences Beijing China.
Shi-Yang ChenKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou China.
Jin-An ZhouState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.
Tian-Yi ZhangState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.
Min-Hao YuDepartment of Gastrointestinal Surgery, Renji Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
Yong-Jing MaState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.
Xiu-Li WangState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.
Jia XuDepartment of Gastrointestinal Surgery, Renji Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
Wei HeDepartment of Pathology, Renji Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
Christopher HeeschenState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.
Jian-Feng ChenKey Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou China.
Wen-Jun MaoDepartment of Thoracic Surgery The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University Wuxi China.
Hui DingDepartment of Gastroenterology and Hepatology, Renji Hospital Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University Shanghai China.
Wen-Juan WuDepartment of Laboratory Medicine, Shanghai East Hospital Tongji University School of Medicine Shanghai China.
Yi ZhaoResearch Center for Ubiquitous Computing Systems, Institute of Computing Technology Chinese Academy of Sciences Beijing China.
Hui WangState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.
Ning-Ning LiuState Key Laboratory of Systems Medicine for Cancer, Center for Single-Cell Omics, School of Public Health Shanghai Jiao Tong University School of Medicine Shanghai China.ORCID https://orcid.org/0000-0002-1468-6897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intratumoral microbiome is an emerging hallmark of cancer, yet its multi-kingdom host-microbiome ecosystem in colorectal cancer (CRC) remains poorly characterized. Here, we conducted an integrated analysis using deep shotgun metagenomics and proteomics on 185 tissue samples, including adenoma (A), paired tumor (T), and para-tumor (P). We identified 4057 bacterial, 61 fungal, 108 archaeal, and 374 viral species in tissues and revealed distinct intratumor microbiota dysbiosis, indicating a CRC-specific multi-kingdom microbial ecosystem. Proteomic profiling uncovered four CRC subtypes (C1-C4), each with unique clinical prognoses and molecular signatures. We further discovered that host-microbiome interactions are dynamically reorganized during carcinogenesis, where different microbial taxa converge on common host pathways through distinct proteins. Leveraging this interplay, we identified 14 multi-kingdom microbial and 8 protein markers that strongly distinguished A from T samples (area under the receiver operating characteristic curve (AUROC) = 0.962), with external validation in two independent datasets (AUROC = 0.920 and 0.735). Moreover, we constructed an early- versus advanced-stage classifier using 8 microbial and 4 protein markers, which demonstrated high diagnostic accuracy (AUROC = 0.926) and was validated externally (AUROC = 0.659-0.744). Functional validation in patient-derived organoids and murine allograft models confirmed that enterotoxigenic

Indexed as

colorectal cancermetagenomicsmicrobiota‐host interactionproteomicstissue‐resident microbiome

Identifiers

PMID41472855
PMCPMC12747540

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.