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Causal relationship between hormone levels and lung cancer: a Mendelian randomization study
Zhiying Feng1, Jingmin Fu1, Kangyu Wang1
1Department of Traditional Chinese Medicine, College of Traditional Chinese Medicine of Hunan University of Chinese Medicine, Changsha, Hunan, China.
Frontiers in Endocrinology
|February 28, 2025
Summary
This study reveals causal links between specific hormone levels and lung cancer subtypes. Findings offer insights into lung cancer prevention, diagnosis, and treatment strategies.
Area of Science:
- Endocrinology
- Oncology
- Genetics
Background:
- Lung cancer is a major global health concern with unclear development mechanisms.
- The role of various hormone levels in lung cancer pathogenesis remains largely unknown.
Purpose of the Study:
- To investigate the causal associations between hormone levels and lung cancer using Mendelian randomization.
- To provide evidence for lung cancer prevention, diagnosis, and treatment.
Main Methods:
- A two-sample Mendelian randomization analysis was performed using large-scale genome-wide association studies data.
- Investigated 15 hormones across three lung cancer subtypes (LUSC, LUAD, SCLC).
- Utilized inverse variance weighted (IVW) as the primary method, with MR-Egger and weighted median for sensitivity analysis.
Main Results:
- Identified significant associations between six hormones and lung squamous cell carcinoma (LUSC), five with lung adenocarcinoma (LUAD), and five with small cell lung cancer (SCLC).
- Insulin was associated with all three lung cancer types.
- Hormonal effects varied by lung cancer subtype, with some hormones showing protective and others risk-increasing correlations.
Conclusions:
- Established significant causal relationships between specific hormone levels and lung cancer subtypes.
- Findings contribute valuable insights for developing targeted lung cancer prevention and treatment strategies.
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