Clues For Genetic Anticipation In Multiple Endocrine Neoplasia Type 1

Medard F M van den Broek1, Bernadette P M van Nesselrooij2, Carolina R C Pieterman1

  • 1Department of Endocrine Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.

Abstract

Insights

Genetic anticipation may be occurring in Multiple Endocrine Neoplasia type 1 (MEN1) families, with earlier onset of tumors across generations. Further research is needed to confirm these findings for personalized screening.

Area of Science:

  • Genetics and Hereditary Diseases
  • Endocrinology
  • Oncology

Background:

  • Multiple Endocrine Neoplasia type 1 (MEN1) is a rare autosomal dominant disorder.
  • MEN1 is caused by mutations in the MEN1 gene, leading to various tumors including primary hyperparathyroidism, neuroendocrine tumors, and pituitary tumors.
  • Understanding age-related penetrance is crucial for developing personalized screening strategies.

Purpose of the Study:

  • To investigate the phenomenon of genetic anticipation in large Dutch MEN1 families.
  • To determine if MEN1 manifestations occur at an earlier age in successive generations.

Main Methods:

  • Identified 10 large Dutch MEN1 families with at least 10 affected members across two or more generations.
  • Compared age at detection of MEN1-related manifestations (pHPT, dpNET, PIT, bp-NET) among generations.
  • Utilized regression analyses adjusted for competing risks and surveillance effects.

Main Results:

  • A total of 152 MEN1 patients were analyzed.
  • Significant decrease in age at detection for primary hyperparathyroidism, duodenopancreatic neuroendocrine tumors, pituitary tumors, and bronchopulmonary neuroendocrine tumors in successive generations (P < 0.0001).
  • Adjusted analyses confirmed the findings, suggesting genetic anticipation.

Conclusions:

  • The study suggests the presence of genetic anticipation in MEN1.
  • Results should be interpreted cautiously due to potential residual bias.
  • Independent validation and further research into molecular mechanisms are recommended for personalized screening protocols.

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