Multiple Endocrine Neoplasia, Pancreatic Neuroendocrine Tumors, Hyperparathyroidism
Conditions
Keywords
Multiple Endocrine Neoplasia, Pancreatic Neuroendocrine Tumors, Hyperparathyroidism, HPTH, PNET, Biomarkers, Parathyroidectomy, Genome sequencing, Data review
Brief summary
The study aims to identify predictors of disease in patients with hyperparathyroidism (HPTH) who undergo surgery.
Detailed description
Researchers aim to identify somatic mutations and inherited genetic variants which may help predict the development of PNET in patients with hyperparathyroidism.
Interventions
Analyses includes genome sequencing based analysis to identify novel germline variations in blood DNAs and somatic changes in tumor DNAs, which may contribute to the development of pancreatic tumors.
Clinical information retrieved from the patients' medical record including: de-identified demographic data (age, gender, race/ethnicity), medical history, family history, disease status, treatment response, survival information, and selected clinical data from medical record (calcium levels, calcitonin levels).
Sponsors
Study design
Eligibility
Inclusion criteria
1. MEN1 patients who have undergone parathyroidectomy and did not develop PNET. 2. MEN1 patients who have undergone parathyroidectomy and had surgical removal of PNET.
Exclusion criteria
N/A
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Identification of Somatic Mutations and Inherited Genetic Variants to Help Predict the Development of Pancreatic Neuroendocrine Tumors (PNET) in Participants with Hyperparathyroidism by Genome Sequencing | 10 years |
Secondary
| Measure | Time frame |
|---|---|
| Identification of Somatic Mutations and Inherited Genetic Variants to Help Predict the Development of Pancreatic Neuroendocrine Tumors (PNET) in Participants with Hyperparathyroidism by Data Review | 10 years |
Countries
United States