Evidence map›Paper›PMID 42768024›Full record

ArticleCell discovery2026

Eggerthella lenta disrupts the gut vascular barrier to drive colorectal cancer liver metastasis.

Cheng Kong, Yutao Jin, Guang Liu, Yangyang Guo, Fanying Guo, Yanlei Ma

Abstract read
In one paragraph

Article in Cell discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Cheng Kong *Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yutao Jin *Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Guang Liu *Guangdong Hongyuan Pukang Medical Technology Co., Ltd, Guangzhou, Guangdong, China.
Yangyang Guo *Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Fanying GuoDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yanlei MaDepartment of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China. yanleima@fudan.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Distant metastasis is the leading cause of death in colorectal cancer (CRC), and the gut vascular barrier (GVB) is the first obstacle to hematogenous spread. To investigate whether GVB function is directly influenced by metastasis-associated bacteria, we analyzed two cohorts comprising 20 healthy controls, 82 non-metastatic CRC patients, and 65 patients with liver or lung metastases. Multi-omics approaches (metagenomic sequencing and single-cell RNA sequencing) and gnotobiotic mouse models were employed to examine gut microbes that are linked to GVB disruption and metastasis. Patients with CRC liver metastasis exhibited impaired GVB and bacterial colonization at metastatic sites. Eggerthella lenta was enriched in patients with elevated expression of plasmalemmal vesicle-associated protein-1 (PV-1), a GVB injury marker, and its abundance was correlated with metastasis and recurrence. In vitro and in vivo, E. lenta compromised endothelial tight junction and GVB integrity, enhancing CRC cell migration and liver metastasis. Mechanistically, E. lenta adhered to endothelial cells and activated endoplasmic reticulum (ER) stress via a TLR4-dependent pathway, promoting autophagy and apoptosis. The knockdown of PERK attenuated ER stress, prevented autophagy and apoptosis, and downregulated the expression of ZO-1 and Claudin-5 induced by E. lenta. These findings highlight the clinical potential of microbiota-targeted strategies and PERK inhibition in the treatment of E. lenta-associated CRC metastasis.

Identifiers

PMID42768024
PMCPMC13594196

What Socratic holds

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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.