Evidence map›Paper›PMID 41868793›Full record

ArticlePeerJ2026

CAMK1D as a potential therapeutic target for gut microbiota-driven promotion of lung adenocarcinoma development.

Nuo Yan, Yang Zhang, Silin Wang, Sheng Hu, Liancheng Ruan, Yunzhe Wang, Weiqiang Feng, Wenxun Xiong, Wenxiong Zhang, Yiping Wei and 1 more

Abstract read
In one paragraph

Article in PeerJ, 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
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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

11 authors.

Nuo Yan *Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yang Zhang *Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Silin WangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Sheng HuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Liancheng RuanDepartment of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yunzhe WangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Weiqiang FengDepartment of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Wenxun XiongDepartment of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Wenxiong ZhangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yiping WeiDepartment of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Chuan YaoDepartment of Thoracic Surgery, Affiliated Hospital of Jiujiang University, Jiujiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The gut microbiome is closely associated with malignant tumors; however the specific mechanisms by which it contributes to the development of lung adenocarcinoma remain unclear. In this study, we performed a two-sample bidirectional Mendelian randomization (MR) analysis to assess the causal relationship between the gut microbiome and lung adenocarcinoma. By identifying single nucleotide polymorphism markers linked to gut microbiome species, we aimed to discover potential biomarkers for lung adenocarcinoma. These findings may offer new insights into the role of the gut microbiome in the prevention and treatment of lung adenocarcinoma. Methods: We used genome-wide association study (GWAS) summary statistics to assess the association between the gut microbiome and lung adenocarcinoma through two-sample MR analysis. Sensitivity analyses were performed to confirm the robustness of the findings. Reverse MR analysis and GWAS data integration were employed to identify potential genetic and therapeutic targets. Bioinformatics analysis and quantitative Real-Time PCR (qRT-PCR) were utilized to validate gene expression and explore the underlying mechanisms of key genes. Results: Our analysis identified two bacterial taxa, Prevotella9 and Parabacteroides, as being causally associated with lung adenocarcinoma, both showing positive causal relationships. Sensitivity analyses confirmed the robustness of these associations. The reverse MR analysis revealed no evidence of reverse causality. GWAS data identified 15 genes (DNAH1, PDE10A, DOCK2, INSYN2B, DNAI3, SUOX, LINC01505, SULT4A1, NT5ELP, LINC02895, calcium/calmodulin dependent protein kinase 1D (CAMK1D), ENSG00000253557, BCAS3, C18orf63, MYO18B) that passed the summary-data-based MR test. The transcriptomic data revealed that five genes (CAMK1D, BCAS3, DNAH1, PDE10A, and C18orf63) were differentially expressed between lung adenocarcinoma patients and healthy individuals. Through qRT-PCR validation, the CAMK1D gene was markedly upregulated in lung adenocarcinoma cell lines, whereas BCAS3, DNAH1, PDE10A, and C18orf63 genes exhibit ed substantially reduced expression. Conclusion: Our study identified specific gut microbial taxa as risk factors for lung adenocarcinoma and proposes

Indexed as

Adenocarcinoma of LungCalcium-Calmodulin-Dependent Protein Kinase Type 1Gastrointestinal MicrobiomeLung NeoplasmsGene Expression Regulation, NeoplasticGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotidePrevotellaCalcium-Calmodulin-Dependent Protein Kinase Type 1CAMK1D protein, humanGut microbiotaLung adenocarcinomaMendelian randomizationSingle-cell RNA-seqTranscriptomics

Identifiers

PMID41868793
PMCPMC13005612

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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.