| Title: | Clinical and Genetic Factors Associated with Neuroendocrine Neoplasms: A UK Biobank Study |
| Journal: | Neuroendocrinology |
| Published: | 13 Mar 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40081351/ |
| DOI: | https://doi.org/10.1159/000545114 |
Publication 15596
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
INTRODUCTION: Incidence of neuroendocrine neoplasms (NENs) is rising globally, yet clinical and genetic factors remain poorly understood. Evidence for the role of obesity is conflicted, and studies on prospectively collected data are sparse. We aimed to identify clinical and germline genetic risk factors associated with NEN in the UK Biobank.</p>
METHODS: Cases of NEN were identified in the UK Biobank's cancer registry data (N∼500,000). Using a combination of ICD-O3 codes for cancer site and histology, NEN cases were stratified into neuroendocrine tumour (NET), neuroendocrine carcinoma (NEC), and small/large cell lung cancer (SLCLC). A Cox proportional hazards model was used to test for an association between clinical phenotypes and increased NEN risk, and a gene burden test in Regenie was used to test for causal variants in the exome sequencing data.</p>
RESULTS: We identified 704 NET, 340 NEC, and 550 SLCLC cases. Obesity (BMI or waist-hip ratio) and lower cholesterol (LDL, HDL, or total) had a significantly significant association with NEN risk; however, the effect size was marginal. Smoking and HbA1c were associated only with SLCLC. Air pollution was not significantly associated when adjustment was made for socio-economic status. We replicated a known germline association between loss of function variants in MEN-1 and NEC, but did not detect any novel association in exome variants.</p>
CONCLUSION: This is the first large prospective population-based study to identify potential clinical and genetic risk factors for NEN and define a novel phenotype in the UK Biobank. More research is needed to establish whether these relationships are causal. The exome study was underpowered, and future work in this area should focus on meta-analysing multiple large datasets.</p>
7 Authors
- Harry David Green
- Marie Line El-Asmar
- Brian Rous
- Gareth Hawkes
- Maria Trinidad Moreno-Montilla
- Christina Thirlwell
- John Ramage
1 Application
| Application ID | Title |
|---|---|
| 103356 | Understanding the role of rare and common genetic variation in human phenotypes |
Enabling scientific discoveries that improve human health