Using circulating tumor cells to evaluate the efficacy of irreversible electroporation for unresectasble pancreatic cancer

Immunol Res. 2018 Feb;66(1):172-178. doi: 10.1007/s12026-017-8959-2.

Abstract

We used circulating tumor cells (CTCs) as biomarkers to evaluate the efficacy of pre-irreversible electroporation (IRE) and post-IRE for unresectable pancreatic cancer (PC). Real-time qPCR was used to detect potential biomarker genes in CTCs, and magnetic-activated cell sorting (MACS) and fluorescence-activated cell sorting (FACS) were performed on 43 patients with PC who underwent IRE. Some patients experienced adverse reactions within 30 days of the operation, including arrhythmia (6.9%), intraoperative transient change of blood pressure (25.5%), cough (11.6%), nausea and vomiting (23.3%), ascites (25.6%), fever (9.3%), and pain of puncture point (60.5%). The number of CTCs decreased significantly with postoperative time (P < 0.01). Delta cycle threshold values for the CTC-related genes CEA, Ep-CAM, and CK19 increased significantly after IRE. Furthermore, the expression of CEA, Ep-CAM, and CK19 decreased significantly with time after IRE (P < 0.01). Detecting CTCs by RT-qPCR and FACS combined with MACS has significant diagnostic and prognostic value for evaluating the efficacy of IRE in patients with unresectable PC.

Keywords: Biomarker; Circulating tumor cells; Efficacy; Real-time quantitative PCR; Unresectable pancreatic cancer.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Ablation Techniques
  • Adult
  • Aged
  • Aged, 80 and over
  • Biomarkers
  • Cell Count / statistics & numerical data
  • China / epidemiology
  • Electroporation*
  • Humans
  • Injection Site Reaction / epidemiology*
  • Injection Site Reaction / etiology
  • Middle Aged
  • Neoplastic Cells, Circulating / pathology*
  • Pancreatic Neoplasms / diagnosis*
  • Pancreatic Neoplasms / epidemiology
  • Pancreatic Neoplasms / therapy
  • Postoperative Complications / epidemiology*
  • Postoperative Nausea and Vomiting / epidemiology*
  • Surgery, Computer-Assisted

Substances

  • Biomarkers