Clinical and Molecular Analysis in Patients with Peutz-Jeghers Syndrome

Pınar Güney Aslan1, Ahmet Okay Çağlayan2,3, Elçin Bora2

  • 1Department of Internal Medicine, Dokuz Eylül University School of Medicine, İzmir, Turkey.

Insights

Peutz-Jeghers syndrome (PJS) patients show varied symptoms and cancer risks linked to STK11 gene mutations. This study identified novel mutations and confirmed truncated variants correlate with earlier onset and higher cancer risk in Turkish PJS cases.

Area of Science:

  • Genetics
  • Oncology
  • Gastroenterology

Background:

  • Peutz-Jeghers syndrome (PJS) is a rare inherited disorder associated with an increased risk of various cancers.
  • Genetic variants in the STK11 gene are the primary cause of PJS.
  • Understanding genotype-phenotype correlations is crucial for patient management and risk assessment.

Purpose of the Study:

  • To investigate the clinical manifestations and genetic profiles of PJS patients in Turkey.
  • To identify STK11 gene mutations using next-generation sequencing (NGS) and multiplex ligation-dependent probe amplification (MLPA).
  • To analyze genotype-phenotype relationships in PJS.

Main Methods:

  • Retrospective analysis of clinical data from 20 PJS patients across 14 families (2011-2021).
  • Targeted NGS and MLPA of the STK11 gene for mutation detection.
  • Correlation of genetic findings with clinical symptoms, polyp types, and malignancy.

Main Results:

  • Initial symptoms typically appeared around 18.9 years, with abdominal pain and intussusception being common.
  • Mucocutaneous lesions (85%) and hamartomatous polyps (90%) were prevalent; 4 patients had dysplastic polyps and 3 developed malignancy.
  • NGS identified 11 pathogenic and 3 likely pathogenic STK11 mutations, including 3 novel variants. The diagnostic yield was 78.5% for NGS and 85.7% for NGS+MLPA.
  • Truncated STK11 mutations were associated with earlier symptom onset and increased cancer risk.

Conclusions:

  • This study represents the first PJS case series in Turkey utilizing NGS and MLPA, identifying novel STK11 mutations.
  • Confirmed a strong genotype-phenotype correlation, where truncated mutations are linked to more aggressive disease phenotypes.
  • Further research into STK11 variants will enhance understanding and management of PJS patients.