# A Two-way Mendelian randomisation study of inflammatory factors and the risk of meningioma

**Authors:** Jiming Sun, Xinlei Yang, Han Gao, Rui Lin, Xiaobo Sun, Qiutao Li, Xinyu Chang, Shengxin Bao, Yu Fan, Yiran Du

PMC · DOI: 10.1515/tnsci-2025-0389 · Translational Neuroscience · 2026-01-14

## TL;DR

This study finds a genetic link between lower FLT3 ligand levels and increased risk of meningioma, suggesting FLT3 signaling plays a role in its development.

## Contribution

Identifies FLT3 ligand as a genetically supported factor with causal associations to meningioma risk through two-way Mendelian randomization.

## Key findings

- FLT3 ligand levels show a clear causal association with meningioma occurrence (OR=0.713).
- Reverse MR analysis links meningioma to lower FLT3 ligand levels (OR=0.936).
- No heterogeneity or pleiotropy detected in MR-Egger intercept tests.

## Abstract

To explore the causal relationship between inflammatory factors and meningioma.

The inverse variance weighting method (IVW), Mendelian Randomisation Egger (MR-Egger) regression, weighted median method, simple mode method, and weighted mode method were used to analyse the potential causal relationship between exposure factors and outcomes.

Preliminary MR analysis showed that 6 inflammatory factors, including C-C motif chemokine 19 levels, osteoprotegerin levels, Fms-related tyrosine kinase 3 (FLT3) ligand levels, matrix metalloproteinase-1 levels, C-C motif chemokine 28 levels, and interleukin-5 levels, were associated with meningiomas. Further screening of inflammatory factors and positive MR analysis showed that FLT3 ligand levels had a clear causal association with the occurrence of meningioma (odds ratio [OR]=0.713, 95 % confidence interval [CI]: 0.598–0.851). The results of reverse MR analysis showed that there was a clear causal association between meningioma and Fms-related tyrosine kinase 3 ligand levels (OR=0.936, 95 % CI: 0.885–0.990). The results of heterogeneity and pleiotropic tests of MR-Egger intercept showed that there was no heterogeneity or pleiotropy in all data.

This study clarified FLT3 as being involved in the pathogenesis of meningioma from a genetic perspective and genetically predicted lower FLT3L to be causally associated with a higher meningioma risk, implicating FLT3 signalling in meningioma pathogenesis. FLT3 as a genetically supported candidate factor associated with meningioma risk.

## Linked entities

- **Genes:** FLT3 (fms related receptor tyrosine kinase 3) [NCBI Gene 2322]
- **Diseases:** meningioma (MONDO:0003057)

## Full-text entities

- **Genes:** CD68 (CD68 molecule) [NCBI Gene 968] {aka GP110, LAMP4, SCARD1}, IL5 (interleukin 5) [NCBI Gene 3567] {aka EDF, IL-5, TRF}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, TXK (TXK tyrosine kinase) [NCBI Gene 7294] {aka BTKL, PSCTK5, PTK4, RLK, TKL}, CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, CXCR1 (C-X-C motif chemokine receptor 1) [NCBI Gene 3577] {aka C-C, C-C-CKR-1, CD128, CD181, CDw128a, CKR-1}, MMP1 (matrix metallopeptidase 1) [NCBI Gene 4312] {aka CLG}, PIK3CB (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit beta) [NCBI Gene 5291] {aka P110BETA, PI3K, PI3KBETA, PIK3C1}, TNFRSF11B (TNF receptor superfamily member 11b) [NCBI Gene 4982] {aka OCIF, OPG, PDB5, TR1}, PTK2B (protein tyrosine kinase 2 beta) [NCBI Gene 2185] {aka CADTK, CAKB, FADK2, FAK2, PKB, PTK}, FLT3LG (fms related receptor tyrosine kinase 3 ligand) [NCBI Gene 2323] {aka FL, FLG3L, FLT3L, IMD125}, FLT3 (fms related receptor tyrosine kinase 3) [NCBI Gene 2322] {aka CD135, FLK-2, FLK2, STK1}, CXCL6 (C-X-C motif chemokine ligand 6) [NCBI Gene 6372] {aka CKA-3, GCP-2, GCP2, SCYB6}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, IL10 (interleukin 10) [NCBI Gene 3586] {aka CSIF, GVHDS, IL-10, IL10A, TGIF}, MAPK1 (mitogen-activated protein kinase 1) [NCBI Gene 5594] {aka ERK, ERK-2, ERK2, ERT1, MAPK2, NS13}, CCL19 (C-C motif chemokine ligand 19) [NCBI Gene 6363] {aka CKb11, ELC, MIP-3b, MIP3B, SCYA19}, PIK3R1 (phosphoinositide-3-kinase regulatory subunit 1) [NCBI Gene 5295] {aka AGM7, GRB1, IMD36, p85, p85-ALPHA, p85alpha}, AKT1 (AKT serine/threonine kinase 1) [NCBI Gene 207] {aka AKT, PKB, PKB-ALPHA, PRKBA, RAC, RAC-ALPHA}, CCL28 (C-C motif chemokine ligand 28) [NCBI Gene 56477] {aka CCK1, MEC, SCYA28}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, STAT5A (signal transducer and activator of transcription 5A) [NCBI Gene 6776] {aka MGF, STAT5}, PGR (progesterone receptor) [NCBI Gene 5241] {aka NR3C3, PR}, CXCL5 (C-X-C motif chemokine ligand 5) [NCBI Gene 6374] {aka ENA-78, SCYB5}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}, CXCR2 (C-X-C motif chemokine receptor 2) [NCBI Gene 3579] {aka CD182, CDw128b, CMKAR2, IL8R2, IL8RA, IL8RB}, TGFB1 (transforming growth factor beta 1) [NCBI Gene 7040] {aka CAEND1, CED, DPD1, IBDIMDE, LAP, TGF-beta1}
- **Diseases:** leukaemia (MESH:D015458), gastrointestinal tumours (MESH:D005770), tumorigenesis (MESH:D063646), gastric cancer (MESH:D013274), micro-haemorrhage (MESH:D006470), lung adenocarcinoma (MESH:D000077192), obesity (MESH:D009765), breast cancer (MESH:D001943), intracranial tumours (MESH:D001932), hepatocellular carcinoma (MESH:D006528), myelodysplastic syndrome (MESH:D009190), hematologic malignancies (MESH:D019337), 3 meningiomas (MESH:D008579), colorectal cancer (MESH:D015179), trauma (MESH:D014947), Inflammation (MESH:D007249), metastasis (MESH:D009362), B-cell acute lymphoblastic leukaemia (MESH:D015456), central nervous system tumours (MESH:D016543), anaplastic (MESH:D002277), oedema (MESH:C536897), AML (MESH:D054218), calcification (MESH:D002114), cancers (MESH:D009369)
- **Chemicals:** aspirin (MESH:D001241), Cho (MESH:C034482), NAA (-), Ala (MESH:D000409), Cr (MESH:D002857)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

50 references — full list in the complete paper: https://tomesphere.com/paper/PMC12917583/full.md

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Source: https://tomesphere.com/paper/PMC12917583