| Literature DB >> 30254610 |
Joanne M de Laat1, Rachel S van Leeuwaarde1, Gerlof D Valk1.
Abstract
Multiple Endocrine Neoplasia type 1 (MEN1) is a rare autosomal dominant inherited condition, causing significant morbidity, and a reduction of life expectancy. A timely and accurate diagnosis of MEN1 is paramount to improve disease outcomes. This enables early identification of tumor manifestations allowing timely treatment for reducing morbidity and improving survival. Current management of MEN1 poses two challenges regarding the MEN1 diagnosis: diagnostic delay and the issue of phenocopies. A delay in diagnosis can be caused by a delay in identifying the index case, and by a delay in identifying affected family members of an index case. At present, lag time between diagnosis of MEN1 in index cases and genetic testing of family members was estimated to be 3.5 years. A subsequent delay in diagnosing affected family members was demonstrated to cause potential harm. Non-index cases have been found to develop clinically relevant tumor manifestations during the lag times. Centralized care, monitoring of patients outcomes on a national level and thereby improving awareness of physicians treating MEN1 patients, will contribute to improved care. The second challenge relates to "phenocopies." Phenocopies refers to the 5-25% of clinically diagnosed patients with MEN1in whom no mutation can be found. Up to now, the clinical diagnosis of MEN1 is defined as the simultaneous presence of at least two of the three characteristic tumors (pituitary, parathyroids, or pancreatic islets). These clinically diagnosed patients undergo intensive follow up. Recent insights, however, challenge the validity of this clinical criterion. The most common mutation-negative MEN1 phenotype is the combination of primary hyperparathyroidism and a pituitary adenoma. This phenotype might also be caused by mutations in the CDKN1B gene, causing the recently described MEN4 syndrome. Moreover, primary hyperparathyroidism and pituitary adenoma are relatively common in the general population. Limiting follow-up in patients with a sporadic co-occurrence of pHPT and PIT could reduce exposure to radiation from imaging, healthcare costs and anxiety.Entities:
Keywords: MEN1; delayed diagnosis; diagnosis; epidemiology; genetic testing
Year: 2018 PMID: 30254610 PMCID: PMC6141626 DOI: 10.3389/fendo.2018.00533
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 5.555
Review highlights.
| - Delay in diagnosis of MEN1 can result in significant harm to patients and their family members |
| - Family members of MEN1 patients should be offered genetic testing at the earliest account |
| - Criteria for |
| - In 10–25% of patients with a MEN1 phenotype no |
| - In a patient with a pHPT and PIT phenotype and no |
| - Limited follow-up can be considered in patients with MEN1-phenotype based on FIPA, MEN4, or sporadic co-occurrence of pHPT and PIT; limited follow-up potentially reduces exposure to radiation from imaging, costs, and anxiety. |
Figure 1Nomogram for predicting the risk of a MEN1 mutation. NET, neuro- endocrine tumor; pHPT, primary hyperparathyroidism. How to use: Nomogram to calculate the risk of a MEN1 mutation. Draw a vertical line for each variable to the “points” axis at the top. Sum the points for the eight variables and locate this total score on the “total points” axis. Draw a vertical line from this through the bottom two scales to determine the linear predictor and the predicted risk of a MEN1 mutation. Example: a 54-year-old patient (score = 30 points) with the combination of a negative family history. (score = 0 points), a nonrecurrent and nonmultiglandular pHPT (score = 63 points), and a pNET (n = 57 points) has a sum score of 150 points, corresponding with a linear predictor of −0.50 and a risk of 38% of having a MEN1 mutation. Example: a 41-year-old patient (score = 42 points) with a positive family history (score = 29 points) and recurrent pHPT (score = 100 points) has a sum score of 171 points, corresponding with a linear predictor of 0.50 and a risk of 63% of having a MEN1 mutation. Originally appeared in: de Laat, J. M., et al. (50).