Screening of RET gene mutations in multiple endocrine neoplasia type-2 using conformation sensitive gel

Marcelo A C G dos Santos1, Elisangela Pereira de S Quedas, Rodrigo de Almeida Toledo

  • 1Endocrine Genetics Unit (LIM-25), Endocrinology, Department of Internal Medicine, Hospital das Clínicas, University of São Paulo School of Medicine, SP.

Insights

Conformation Sensitive Gel Electrophoresis (CSGE) effectively screens for RET proto-oncogene mutations in Multiple Endocrine Neoplasia type 2 (MEN2). This fast, low-cost method detects most common RET variants, aiding in inherited tumor syndrome diagnosis.

Area of Science:

  • Genetics
  • Oncology
  • Molecular Biology

Background:

  • Multiple Endocrine Neoplasia type 2 (MEN2) is an inherited tumor syndrome.
  • Germline mutations in the RET proto-oncogene cause MEN2.
  • Accurate detection of RET mutations is crucial for diagnosis and management.

Purpose of the Study:

  • To evaluate Conformation Sensitive Gel Electrophoresis (CSGE) as a screening method for RET proto-oncogene mutations.
  • To compare CSGE with direct sequencing and Single Strand Conformational Polymorphism (SSCP) for RET mutation detection.
  • To assess the sensitivity and efficiency of CSGE for common MEN2-associated RET variants.

Main Methods:

  • Seven MEN2 families were analyzed.
  • Direct sequencing was used as the gold standard for mutation verification.
  • Conformation Sensitive Gel Electrophoresis (CSGE) and Single Strand Conformational Polymorphism (SSCP) were employed for mutation screening.

Main Results:

  • CSGE/SSCP successfully detected four out of five known RET mutations (Cys620Arg, Cys634Arg, Cys634Tyr, Met918Thr) and identified a novel Val648Ile substitution.
  • The method also verified known RET polymorphisms at codons 691 and 769.
  • CSGE/SSCP data were fully concordant with sequencing analysis for the detected mutations.

Conclusions:

  • CSGE is a sensitive, rapid, cost-effective, and simple technique for screening prevalent RET mutations in MEN2 patients.
  • The method covers approximately 95% of the most common RET variants.
  • Further optimization is needed for detecting specific mutations like Val804Met.