Quantitative analysis of NPTX2 hypermethylation is a promising molecular diagnostic marker for pancreatic cancer

  • Joo Kyung Park
  • , Ji Kon Ryu
  • , Kwang Hyuk Lee
  • , Jun Kyu Lee
  • , Won Jae Yoon
  • , Sang Hyub Lee
  • , Ji Won Yoo
  • , Sang Myung Woo
  • , Gyung Yub Lee
  • , Cheol Ho Lee
  • , Yong Tae Kim
  • , Yong Bum Yoon

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Objectives: Percutaneous fine-needle aspiration cytology or biopsy has been used for pathological confirmation in pancreatic cancer. Sometimes, it is difficult to approach the mass because of surrounding major vessels, and there is a risk of seeding. Although endoscopic retrograde cholangiopancreatography (ERCP)-guided pancreatic duct brush cytology is less invasive, its reliability is very low. Recently, aberrantly methylated genes were reported in pancreatic cancer tissue. This study was to develop a novel molecular diagnostic approach based on epigenetic characteristics. Methods: We enrolled pathologically proven 33 pancreatic cancer patients and 22 benign pancreaticobiliary disease patients. The ERCP-guided pancreatic duct brush cytology samples were obtained. Genomic DNA was extracted, and NPTX2 CpG island hypermethylation was examined quantitatively by real-time polymerase chain reaction amplification after chemical modification. Results: Pancreatic cancer cytology samples had statistically significant higher levels of NPTX2 methylation compared with benign diseases, and the optimal cutoff value of NPTX2 methylation was 1.2%. The sensitivity was 87%, and specificity was 80%, whereas pathological examination by ERCP-guided pancreatic duct brush cytology had a sensitivity of 38%. Conclusions: The quantitative analysis of NPTX2 hypermethylation may play a role in making highly sensitive and less invasive diagnosis of pancreatic cancer. Therefore, NPTX2 hypermethylation could be a promising molecular diagnostic marker.

Original languageEnglish
Pages (from-to)e9-e15
JournalPancreas
Volume35
Issue number3
DOIs
StatePublished - Oct 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cytology
  • Diagnosis
  • ERCP
  • NPTX2
  • Pancreatic cancer

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