ArticleBMC cancer2024
Assessing the causal relationship between non-small cell lung cancer and sepsis: a Mendelian randomization study.
Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Development and multi-center validation of a machine learning‑based prediction model for mortality in tumor-related sepsis.BMC infectious diseases · 2026Article
- Continuous multidimensional physiological monitoring redefines early warning and preemptive treatment for neutropenic sepsis following cisplatin chemotherapy in non-small cell lung cancer.Frontiers in pharmacology · 2026Article
- Causality of genetically predicted solid cancers on risk of sepsis: insights from Mendelian randomization.Discover oncology · 2025Article
- Immune Cells Phenotypes and Causal Relationship with Acne Vulgaris: Insights from Mendelian Randomization.Clinical, cosmetic and investigational dermatology · 2025Article
- Sepsis-driven metabolic reprogramming shapes cancer immunotherapy efficacy, metastatic potential, and drug sensitivity.Frontiers in immunology · 2025Review
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Authors and funding
5 authors.
Funding
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Abstract
backgroundA Two-sample Mendelian randomization (MR) Analysis was used to assess the causal relationship between non-small cell lung cancer (NSCLC) and sepsis.
methodSingle nucleotide polymorphisms (SNPs) closely associated with NSCLC were utilized as instrumental variables (IVs) in this study. The Inverse Variance Weighted (IVW) method was used as the primary method for MR analysis, supplemented by the Weighted median, Weighted model, and MR-Egger regression method. Sensitivity analysis was conducted to improve result robustness, and data from various sources were validated and integrated. Bonferroni tests were applied to adjust for multiple comparisons.
resultsAfter Bonferroni tests correcting the combined results, MR analysis revealed a significant association between genetically predicted NSCLC and an increased susceptibility to sepsis (odds ratios [OR]: 1.140, 95% confidence interval [CI]: 1.085-1.199, P = 2.61 × 10
conclusionThis study confirms that NSCLC can significantly increase susceptibility to sepsis at the genetic level, providing valuable insights for the early identification of individuals at risk for sepsis.
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