Genomic profile of pseudomyxoma peritonei analyzed using next-generation sequencing and immunohistochemistry

Pirjo Nummela1, Lilli Saarinen, Alexandra Thiel

  • 1Genome-Scale Biology Research Program, Research Programs Unit, University of Helsinki, Helsinki, Finland.

Insights

Activating KRAS mutations are found in all pseudomyxoma peritonei (PMP) tumors, and GNAS mutations are common. Aberrant p53 expression correlates with high-grade PMP and poorer survival, indicating potential therapeutic targets.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Pseudomyxoma peritonei (PMP) is a rare malignancy characterized by mucinous ascites and epithelial cell growth within the peritoneal cavity.
  • The molecular underpinnings of PMP remain under-investigated, hindering the development of targeted therapies.

Purpose of the Study:

  • To elucidate the molecular landscape of pseudomyxoma peritonei.
  • To identify genetic alterations and protein expression patterns associated with PMP progression and patient survival.

Main Methods:

  • DNA extraction from 19 appendix-derived PMP tumors and matched normal tissues.
  • Next-generation sequencing (NGS) of 48 cancer-related genes to identify mutations.
  • Immunohistochemistry analysis of BRAF V600E, MLH1, MSH2, MSH6, and p53 protein expression in 74 PMP tumors.

Main Results:

  • Activating somatic KRAS mutations were detected in all PMP tumors analyzed by NGS.
  • GNAS mutations were present in 63% of tumors; PIK3CA, AKT1, SMAD4, and APC mutations were rare.
  • Aberrant p53 protein expression was significantly higher in high-grade PMP (31.3%) compared to low-grade (7.1%) and was an independent predictor of reduced survival (p=0.002).
  • BRAF V600E mutation was found in only one tumor (1.4%).
  • All tumors expressed mismatch repair proteins MLH1, MSH2, and MSH6.

Conclusions:

  • KRAS mutations are a near-universal event in PMP, and GNAS mutations are frequent.
  • Aberrant p53 expression is linked to aggressive PMP histology and unfavorable prognosis.
  • These findings highlight key molecular drivers in PMP and identify p53 as a potential prognostic biomarker.

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