Evidence map›Paper›PMID 37563724›Full record

SynthesisJournal of translational medicine2023

Identification of host gene-microbiome associations in colorectal cancer patients using mendelian randomization.

Yaoxian Xiang, Chan Zhang, Jing Wang, Yurong Cheng, Li Wang, Yingying Tong, Dong Yan

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 2 pooled it
10.5field-weighted citation impact, top 1% 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

46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Yaoxian XiangDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Chan ZhangDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Jing WangDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Yurong ChengDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Li WangDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China.
Yingying TongDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China. tongyingying-89@163.com.
Dong YanDepartment of Oncology, Beijing Luhe Hospital Affiliated to Capital Medical University, Beijing, 101149, China. yd15yt88@163.com.
Beijing Luhe Hospital Affiliated to Capital Medical University · CNBeijing Tongren Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are many studies indicating that alterations in the abundance of certain gut microbiota are associated with colorectal cancer (CRC). However, a causal relationship has not been identified due to confounding factors such as lifestyle, environmental, and possible reverse causal associations between the two. Furthermore, certain host gene mutations can also contribute to the development of CRC. However, the association between genes and gut microbes in patients with CRC has not been extensively studied.

methodsWe conducted a two-sample Mendelian randomization (MR) study to reveal the causal relationship between gut microbiota and CRC. We obtained SNPs associated with gut microbiome abundance as instrumental variables (IVs) from a large-scale, multi-ethnic GWAS study, and extracted CRC-related datasets from an East Asian Population genetic consortia GWAS (AGWAS) study and FinnGen consortium, respectively. We analyzed a total of 166 bacterial features at four taxonomic levels, including order, family, genus, and species. The inverse-variance-weighted (IVW), weighted median, MR-Egger, and simple median methods were applied to the MR analysis, and the robustness of the results were tested using a series of sensitivity analyses. We extracted IVs of gut microbiota with direct causal association with CRC for SNP annotation to identify the genes in which these genetic variants were located to reveal the possible host gene-microbiome associations in CRC patients.

resultsThe findings from our MR analysis based on CRC-associated GWAS datasets from AGWAS revealed causal relationships between 6 bacterial taxa and CRC at a locus-wide significance level (P < 1 × 10

conclusionThis study supported the causal relationship of gut microbiota on CRC and revealed a possible correlation between genes and pathogenic microbiota in CRC. These findings suggested that the study of the gut microbiome and its further multi-omics analysis was important for the prevention and treatment of CRC.

Indexed as

Colorectal NeoplasmsGastrointestinal MicrobiomeEast Asian PeopleGenome-Wide Association StudyHumansMendelian Randomization AnalysisMicrobiotaCausal relationshipColorectal cancer (CRC)GeneGut microbiotaMendelian randomization (MR)

Identifiers

PMID37563724
PMCPMC10416448
OpenAlexW4385726907

What Socratic holds

Textmetadata
LicenceCC BY
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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.