Causal relationships between inflammatory factors and multiple myeloma: A bidirectional Mendelian randomization study

Changes in serum inflammatory factors occur throughout the onset and multiple myeloma (MM) progression, the feedback loops make it harder to distinguish between causes and effects. In the present study, we performed a bidirectional summary‐level Mendelian randomization (MR) analysis to elucidate the...

Full description

Saved in:
Bibliographic Details
Published in:International journal of cancer 2022-11, Vol.151 (10), p.1750-1759
Main Authors: Wang, Qiangsheng, Shi, Qiqin, Lu, Jiawen, Wang, Zhenqian, Hou, Jian
Format: Article
Language:English
Subjects:
bidirectional
C-Reactive Protein - genetics
Cancer
Chemokines
Cytokines
Genetic diversity
Genome-Wide Association Study
Genomes
Humans
Inflammation
inflammatory regulators
Interleukin-10 - genetics
Interleukin-17
Interleukin-7
Lymphotoxin-alpha
Medical research
Mendelian randomization
Mendelian Randomization Analysis - methods
Monocytes
Multiple myeloma
Multiple Myeloma - genetics
Pleiotropy
Polymorphism, Single Nucleotide
Sensitivity analysis
Vascular endothelial growth factor
Vascular Endothelial Growth Factor A
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Changes in serum inflammatory factors occur throughout the onset and multiple myeloma (MM) progression, the feedback loops make it harder to distinguish between causes and effects. In the present study, we performed a bidirectional summary‐level Mendelian randomization (MR) analysis to elucidate the causal relationships of C‐reactive protein (CRP) and inflammatory regulators with MM. Summary‐level data of genetic variants associated with inflammation were extracted from two genome‐wide association studies (GWASs) on CRP and human cytokines, while data on MM was from large meta‐analyses of GWASs among 372 617 UK Biobank participants. The inverse‐variance weighted (IVW) method was used as the primary MR analysis and MR‐Egger, weighted median, and MR‐pleiotropy residual sum and outlier (MR‐PRESSO) were used as the sensitivity analyses. Our results suggested that higher levels of monocyte‐specific chemokine‐3 (IVW estimate odds ratio [ORIVW] per SD genetic cytokines change: 1.24; 95% confidence interval [CI]: 1.03‐1.49; P = .02), vascular endothelial growth factor (1.14, 1.03‐1.27; P = .02), interleukin‐10 (1.33, 1.01‐1.75; P = .04) and interleukin‐7 (1.24, 1.03‐1.48; P = .02) were associated with increased risk of MM, while lower levels of tumor necrosis factor‐β (0.84, 0.74‐0.92; P 
ISSN:0020-7136
1097-0215
DOI:10.1002/ijc.34214