Department of Radiation Oncology and Division of Abdominal Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China , lizhenglys@126.com
Abstract: (342 Views)
Background: Previous research suggests that depression interventions may affect the session of radiotherapy (RT), though the causal relationship remains uncertain. This research seeks to elucidate the cause-and-effect link between treatments for depression and RT sessions through the application of two-sample Mendelian randomization (TSMR) analysis. Materials and Methods: Information on depression treatments and RT sessions was sourced from publicly available genome-wide association studies (GWAS) summary data. Genetic variations known as single nucleotide polymorphisms (SNPs) that are closely linked to depression treatments were chosen as instrumental variables (IVs). Six distinct TSMR techniques were utilized, including MR Egger, weighted median, inverse variance weighted (IVW), weighted mode, IVW with fixed effects, and MR Egger with bootstrap. The causal relationship between depression interventions and RT session was primarily assessed using the P-value from the IVW fixed effects model. Heterogeneity and pleiotropy tests were conducted to validate the findings. Results: Eight sensitive SNPs were identified for the analysis. Both the MR Egger (Q_pval=0.118>0.05) and inverse variance weighted (Q_pval=0.143>0.05) methods indicated low heterogeneity in the MR analysis. The findings remained consistent through various sensitivity tests. The IVW fixed effects analysis revealed a significant causal effect between depression intervention and RT session (P=0.016, OR=0.979, 95% CI: 0.961-0.996), indicating a negative causal relationship. Conclusion: Depression intervention appears to be a beneficial factor in reducing RT session, supporting its integration into treatment plans for RT patients to enhance their quality of life.
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