Evidence map›Paper›PMID 39565441›Full record

ArticleDiscover oncology2024

Unraveling the role of gut microbiota and immune cells in thyroid cancer and tumor drug resistance.

Jiaqin Deng, Yihua Gu, Ming Yu, Yeqian Lai, Lihong Qiu

Abstract read
In one paragraph

Article in Discover oncology, 2024. 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

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

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

5 authors.

Jiaqin DengDepartment of Thyroid Surgery, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, No. 63 Huang Tang Road, Mei Jiang District, Meizhou, People's Republic of China. dengjiaqin666@163.com.
Yihua GuDepartment of Thyroid Surgery, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, No. 63 Huang Tang Road, Mei Jiang District, Meizhou, People's Republic of China.
Ming YuDepartment of Thyroid Surgery, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, No. 63 Huang Tang Road, Mei Jiang District, Meizhou, People's Republic of China.
Yeqian LaiDepartment of Thyroid Surgery, Meizhou People's Hospital, Meizhou Academy of Medical Sciences, No. 63 Huang Tang Road, Mei Jiang District, Meizhou, People's Republic of China.
Lihong QiuDepartment of Clinical Laboratory, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut microbiota (GM) and immune cells (IC) are increasingly recognized as key players in cancer development and progression. This study aimed to explore the potential mediating role of IC in the causal relationship between GM and thyroid cancer (TC) using Mendelian randomization (MR) analysis. Data from genome-wide association studies (GWAS) encompassing 473 GM species, 731 IC types, and TC were utilized. MR analysis identified nine GM species with significant causal relationships to TC, mediated by 10 IC phenotypes such as "Switched Memory AC," "IgD-CD38dim AC," and "EM DN (CD4-CD8-) AC." These findings suggest a complex interplay where specific IC mediate the effects of GM on TC risk. Sensitivity analyses confirmed the robustness of these results, with no evidence of horizontal pleiotropy. This study highlights potential mechanisms linking GM and IC to TC, offering insights that could inform GM-based immunotherapeutic strategies and IC-targeted interventions. However, further experimental research is needed to validate these causal pathways and better understand the underlying biological mechanisms.

Indexed as

Gut microbiotaImmune cellsMediation analysisMendelian randomizationThyroid cancer

Identifiers

PMID39565441
PMCPMC11579266

What OpenQuestion holds

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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.