Population-Based Evidence of Familial Clustering in Pulmonary Carcinoid Tumors: Insights From the Utah Population Database
- PMID: 41216113
- PMCID: PMC12597111
- DOI: 10.7759/cureus.94208
Population-Based Evidence of Familial Clustering in Pulmonary Carcinoid Tumors: Insights From the Utah Population Database
Abstract
Background: Pulmonary carcinoid tumors are rare neuroendocrine neoplasms. While gastrointestinal carcinoids have established familial clustering, the heritable component of pulmonary carcinoids, particularly outside of multiple endocrine neoplasia type 1 (MEN1) syndrome, remains poorly defined. Utah's unique linked genealogy-cancer registry enables population-based assessment of familial risk.
Methods: We used the Utah Population Database (UPDB) linked to the Utah Cancer Registry (a Surveillance, Epidemiology, and End Results (SEER) registry) to identify individuals diagnosed with pulmonary carcinoid tumors (International Classification of Diseases for Oncology, Third Edition (ICD-O-3), histology codes 8240, 8249). The Genealogical Index of Familiality (GIF) test evaluated excess pairwise relatedness compared with 1,000 matched control sets. Relative risks (RRs) were estimated for first-, second-, and third-degree relatives, with expected cases based on cohort-specific incidence rates.
Results: A total of 232 pulmonary carcinoid cases with ≥3 generations of genealogy were identified. The GIF test demonstrated significant excess relatedness (GIF: 5.36 vs. 2.65; p=0.002), with excess in parent-offspring and avuncular pairs. RRs were significantly elevated for first-degree relatives (RR: 5.78; 95% CI: 1.03-18.21; p=0.048) and second-degree relatives (RR: 12.91; 95% CI: 6.42-23.29; p<0.0001), but not third-degree relatives. We identified 61 high-risk pedigrees with significantly more cases than expected. Incidence rates of pulmonary carcinoid were similar in Utah (0.8%) and the rest of SEER (0.7%), despite markedly lower overall lung cancer incidence in Utah.
Conclusions: Our findings demonstrate the significant familial clustering of pulmonary carcinoid tumors in a large, population-based resource, supporting a potential heritable contribution independent of MEN1 syndrome. These results justify further genetic and environmental investigations in high-risk pedigrees to identify susceptibility loci and modifiable exposures.
Keywords: familial clustering; genealogy; neuroendocrine tumors; pulmonary carcinoid; utah population database.
Copyright © 2025, Ansari et al.
Conflict of interest statement
Human subjects: Informed consent for treatment and open access publication was obtained or waived by all participants in this study. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.
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