Utility of peritoneal fluid for multiplexed mRNA profiling of peritoneal metastasis from pancreatic cancer

Sharuya Kulatheivam1, Lea Lecanda Mariager Jakobsen1, Mark Burton2

  • 1Department of Pathology, Odense University Hospital, Odense, Denmark; Odense Pancreas Center (OPAC) and Odense PIPAC Center (OPC), Odense University Hospital, Odense, Denmark.

PubMed
Abstract

Insights

Peritoneal fluid mRNA profiling can identify cancer markers and aid in prognostic stratification for patients with peritoneal metastasis (PM). This novel approach uses leftover cytology samples for transcriptomic analysis, offering new insights into cancer progression.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Peritoneal metastasis (PM) is associated with poor patient survival.
  • Limited prognostic stratification methods exist for PM patients.
  • Peritoneal fluid (PF) offers a direct view of the peritoneal cavity's microenvironment.

Purpose of the Study:

  • To assess the utility of formalin-fixed paraffin-embedded (FFPE) PF sediments for mRNA expression profiling.
  • To identify messenger RNAs (mRNAs) dysregulated in PM compared to controls.
  • To explore the prognostic value of upregulated mRNAs in PM.

Main Methods:

  • RNA extraction from FFPE PF sediments of pancreatic cancer PM (n=19) and benign ascites (n=16).
  • Multiplexed profiling of 760 cancer-related mRNAs.
  • Bioinformatic analyses including differential gene expression, survival analysis (Kaplan-Meier, Cox regression), and immunocytochemistry.

Main Results:

  • 56 upregulated and 130 downregulated mRNAs identified in malignant PF sediments.
  • Dysregulation of selected mRNAs was confirmed at the protein level.
  • Upregulation of six specific mRNAs (ESRP2, EPCAM, SFN, ITGB6, ESRP1, GRHL2) correlated with shorter survival.

Conclusions:

  • FFPE PF sediments are suitable for transcriptomic analysis.
  • Numerous tumor-progression-associated mRNAs are upregulated in PM.
  • mRNA profiling shows potential as a clinical tool for prognostic stratification in PM patients, pending larger validation studies.

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