Thoracic Cancer (Jul 2024)

Causal relationships between immune cell phenotypes and lung adenocarcinoma: A bidirectional two‐sample Mendelian randomization study

  • Bowen Li,
  • Zhicheng Huang,
  • Yadong Wang,
  • Chao Guo,
  • Naixin Liang,
  • Huaxia Yang,
  • Shanqing Li

DOI
https://doi.org/10.1111/1759-7714.15394
Journal volume & issue
Vol. 15, no. 21
pp. 1673 – 1680

Abstract

Read online

Abstract Background Lung adenocarcinoma (LUAD) is the most common type of lung cancer and closely associated with the immune system. Emerging evidence suggests that blood immune cell phenotypes in patients with LUAD may undergo alterations. Nevertheless, the limited amount of relevant research makes it difficult to understand the causal links between LUAD and changes in the immune cells. This study aimed to reveal the potential causal relationships between 731 immune cell phenotypes and LUAD. Methods A bidirectional two‐sample Mendelian randomization (MR) analysis was used to clarify causal relationships. Four types of immune phenotypes, absolute cell counts, relative cell counts, median fluorescence intensities (MFIs) of surface antigens, and morphological parameters, were investigated in this study. Heterogeneity tests, horizontal pleiotropy tests, and leave‐one‐out analyses were performed to validate the reliability of our study. Results A total of 26 immune cell characteristics were identified as contributing to the occurrence of LUAD. Memory B cells, IgD−CD38br cells, CD4+ regulatory T cells (Tregs), and plasmacytoid dendritic cells (DCs) may play a role in the development of LUAD. Through reverse MR, our study discovered that the presence of LUAD also induced changes in the expression levels of 16 immune cell traits involving specific surface markers and various types of immune cells, some of which pertain to antigen presentation and immune activation processes. Conclusion Our study demonstrated causal links between several immune cell phenotypes and LUAD, thereby providing indications of the potentially oncogenic physiological state and early screening biomarkers for future research.

Keywords