Evidence map›Paper›PMID 39465349›Full record

ArticleScientific reports2024

Causal associations of MICB, CTSA, and MMP9 proteins with oral cancer: Mendelian randomization study.

Bowen Dong, Jianlei Hua, Shengxuan Ma, Li Wang, Haotian Xiao, Xianghe Qiao, Rui Zhao, Yiming Liu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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.

Bowen Dong *Department of Translational Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.
Jianlei Hua *Department of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.
Shengxuan MaDepartment of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.
Li WangDepartment of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.
Haotian XiaoDepartment of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.
Xianghe QiaoDepartment of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.
Rui ZhaoDepartment of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China. zhaorui37@163.com.
Yiming LiuDepartment of Stomatology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China. doctorliuym@163.com.

Funding

National Natural Science Foundation of China 82300200National Natural Science Foundation of China U190415Natural Science Foundation of Henan Province 232300420225the Union Project of Medical and Technology Research Program of Henan Province LHGJ20220365
6 · The paper itself

Abstract

Oral cancer (ORCA) is the most prevalent histological subtype of oral malignancies in which immune modulation is relevant. The goal of this work was to employ Mendelian randomization (MR) to investigate the causal connection between the immune-related proteins MICB, CTSA, MMP9, and ORCA. The Open GWAS database of the Integrative Epidemiology Unit (IEU) was accessed to collect GWAS data for ORCA (ieu-b-4961), MICB (prot-a-1898), CTSA (prot-a-717) and MMP9 (prot-a-1921). From 372,373 samples, the ORCA dataset comprises 7,723,107 single nucleotide polymorphisms (SNPs). MICB, CTSA, and MMP9 all have 10,534,735 SNPs and 3,301 sample sizes. Then, the primary SVMR implementation approaches were weighted mode, simple mode, inverse variance weighted (IVW), weighted median, and MR-Egger. IVW was the most effective technique. A sensitivity study was also carried out to assess the correctness of SVMR data, with special focus devoted to heterogeneity, horizontal pleiotropy, and Leave-One-Out (LOO). MVMR was eventually implemented as well. A Mendelian randomization analysis of the three exposure factors in the dataset (ieu-b-94, ebi-a-GCST012237) was also performed to validate the study results. According to the SVMR results, there was a noteworthy causal interaction between ORCA and MICB (P = 0.0014), MMP9 (P = 0.0343), and CTSA (P = 0.0003). Furthermore, odds ratios (ORs) values revealed that MMP9 (OR = 1.0005) was an ORCA risk factor, whereas MICB (OR = 0.9994) and CTSA (OR = 0.9993) were security factors. The robustness of the SVMR findings was confirmed by the p-values of the heterogeneity and horizontal pleiotropy, both of which were greater than 0.05. The MVMR result did not affect any of the safety or hazard features of these three exposure factors. However, the P value for MMP9 was greater than 0.05, implying that MICB and CTSA may have a greater influence on ORCA than MMP9. The validation outcomes in both datasets harmonized with the findings from previous research, thereby solidifying the reliability of results. Our investigation provided a crucial resource for further research on the subject by demonstrating a causal relationship between ORCA and MICB, CTSA, and MMP9.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyMatrix Metalloproteinase 9Mendelian Randomization AnalysisMouth NeoplasmsPolymorphism, Single NucleotideHumansMatrix Metalloproteinase 9MMP9 protein, humanCausal relationshipCTSAGWASMendelian randomizationMICBMMP9Oral cancer

Identifiers

PMID39465349
PMCPMC11514235

What Socratic holds

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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 Socratic graph.