Evidence map›Paper›PMID 38369542›Full record

ArticleJournal of translational medicine2024

Multi-omic profiling reveals associations between the gut microbiome, host genome and transcriptome in patients with colorectal cancer.

Shaomin Zou, Chao Yang, Jieping Zhang, Dan Zhong, Manqi Meng, Lu Zhang, Honglei Chen, Lekun Fang

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

22 citing papers in PubMed, 16 citations in OpenAlex.

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  14. Potential Pathogens Associated with Colorectal Cancer.Current pharmaceutical biotechnology · 2025
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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

8 authors at 4 institutions in 2 countries.

Shaomin Zou *Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
Chao Yang *Department of Computer Science, Faculty of Science, Hong Kong Baptist University, Hong Kong, China.
Jieping Zhang *Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
Dan ZhongDepartment of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
Manqi MengDepartment of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
Lu ZhangDepartment of Computer Science, Faculty of Science, Hong Kong Baptist University, Hong Kong, China.
Honglei ChenGastrointestinal Endoscopy Center, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518033, China. chenhlei3@mail.sysu.edu.cn.
Lekun FangDepartment of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China. fanglk3@mail.sysu.edu.cn.
Sun Yat-sen University · CNHong Kong Baptist University · HKSixth Affiliated Hospital of Sun Yat-sen University · CNEighth Affiliated Hospital of Sun Yat-sen University

Funding

National Natural Science Foundation of China 82222056National Natural Science Foundation of China 82302910National Natural Science Foundation of China 82373512Natural Science Foundation of Guangdong Province 2021B1212010004Natural Science Foundation of Guangdong Province 2022A1515012316
6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is the leading cancer worldwide. Microbial agents have been considered to contribute to the pathogenesis of different disease. But the underlying relevance between CRC and microbiota remain unclear.

methodsWe dissected the fecal microbiome structure and genomic and transcriptomic profiles of matched tumor and normal mucosa tissues from 41 CRC patients. Of which, the relationship between CRC-associated bacterial taxa and their significantly correlated somatic mutated gene was investigated by exome sequencing technology. Differentially expressed functional genes in CRC were clustered according to their correlation with differentially abundant species, following by annotation with DAVID. The composition of immune and stromal cell types was identified by XCELL.

resultsWe identified a set of 22 microbial gut species associated with CRC and estimate the relative abundance of KEGG ontology categories. Next, the interactions between CRC-related gut microbes and clinical phenotypes were evaluated. 4 significantly mutated gene: TP53, APC, KRAS, SMAD4 were pointed out and the associations with cancer related microbes were identified. Among them, Fusobacterium nucleatum positively corelated with different host metabolic pathways. Finally, we revealed that Fusobacterium nucleatum modified the tumor immune environment by TNFSF9 gene expression.

conclusionCollectively, our multi-omics data could help identify novel biomarkers to inform clinical decision-making in the detection and diagnosis of CRC.

Indexed as

Colorectal NeoplasmsGastrointestinal MicrobiomeMicrobiotaHumansMultiomicsTranscriptomeColorectal cancerGut microbiotaImmune responseMetabolismMetagenomic sequencingSomatic mutationsTranscriptome

Identifiers

PMID38369542
PMCPMC10874565
OpenAlexW4391917677

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.