Evidence map›Paper›PMID 41764528›Full record

ArticleJournal of translational medicine2026

Discovery and characterization of Christensenella hongkongensis as a novel bacterium in the adenoma-carcinoma progression.

Wenqing Zhang, Qi Su, Haiyun Shi, Yang Sun, Xiaobo Li, Mengbin Li, Hui Wang, Jun Yu, Nathalie Wong, Francis Ka Leung Chan and 2 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Wenqing ZhangMicrobiota I-Center, Hong Kong SAR, China.
Qi SuMicrobiota I-Center, Hong Kong SAR, China.
Haiyun ShiBeijing Friendship Hospital, Capital Medical University, Beijing, China.
Yang SunThe First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Xiaobo LiRenji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mengbin LiXijing Hospital, Xi'an, Shaanxi, China.
Hui WangThe Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jun YuDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.
Nathalie WongDepartment of Surgery, Sir Y.K. Pao Centre for Cancer, The Chinese University of Hong Kong, Hong Kong SAR, China.
Francis Ka Leung ChanMicrobiota I-Center, Hong Kong SAR, China.
Jingwan ZhangMicrobiota I-Center, Hong Kong SAR, China. wendyjwzhang@cuhk.edu.hk.
Siew Chien NgMicrobiota I-Center, Hong Kong SAR, China. siewchienng@cuhk.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is one of the most prevalent malignancies worldwide and commonly starts from a pre-cancerous stage. This study aimed to identify potential fecal bacterial candidates associated with progression of CRC from the adenoma-carcinoma sequence and to explore underlying mechanisms of carcinogenesis.

methodsPublicly metagenomic datasets were analyzed using MaAsLin2 to identify bacterial species enriched in CRC patients compared to healthy controls. Additionally, we established a large cohort in mainland China, consisting of 686 subjects, including 285 CRC patients, 73 advanced adenoma patients (AA), 134 non-advanced adenoma patients (nAA), and 194 healthy controls (NC). Fecal samples from this cohort were analyzed by duplex quantitative polymerase chain reaction (qPCR) to validate the abundance of key bacterial candidate and its association with tumor node metastasis (TNM) stages. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of Christensenella hongkongensis (C. hongkongensis) alone and in combination with fecal immunochemical test (FIT) across different CRC stages. In vitro experiments and transcriptome sequencing were performed to explore the effects of C. hongkongensis and its mechanisms in CRC progression.

resultsMaAsLin2 analysis identified seven bacterial species were significantly more abundant in fecal samples of CRC patients than in healthy controls (p < 0.05). Among them, C. hongkongensis, an obligately anaerobic, catalase-positive, motile, non-sporulating, gram-positive coccobacillus was distinguished by its lowest abundance in healthy controls and significant enrichment in CRC patients. Validation in our recruited cohort showed that the abundance of C. hongkongensis progressively increased from non-advanced adenomas to advanced adenomas and CRC. For classifying AA from nAA, C. hongkongensis yielded an area under the ROC curve (AUC) of 0.60 (95% CI 0.53–0.68), with 45.2% sensitivity and 85.8% specificity. A combined model integrating C. hongkongensis abundance and FIT further improved diagnostic performance, increasing AUCs from 0.77 to 0.81 for AA vs NC (p < 0.05) and from 0.76 to 0.82 for AA vs nAA (p < 0.001). Linear regression analysis revealed a significant positive association between C. hongkongensis and TNM stages in CRC. In vitro experiments showed that C. hongkongensis promoted CRC cell proliferation, inhibited apoptosis, and enhanced the growth of patient-derived CRC organoids. RNA-seq analysis identified activation of the Wnt/β-catenin signaling pathway, which was further validated by elevated protein levels of active β-catenin, reduced phosphorylation of GSK3β, and the upregulation of downstream targets c-Jun and Cyclin-D1.

conclusionsOur findings suggest that C. hongkongensis promotes colorectal tumorigenesis via Wnt/β-catenin activation, and highlight its potential as a novel non-invasive bacterial marker for early detection and monitoring of CRC progression.

Indexed as

AdenomaColorectal NeoplasmsDisease ProgressionCase-Control StudiesCell Line, TumorFecesFemaleHumansMaleMiddle AgedROC CurveBiomarkerChristensenella hongkongensisColorectal adenomaGut microbiota

Identifiers

PMID41764528
PMCPMC13049741

What Socratic 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 Socratic graph.