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Overexpression of Neuron-Specific Enolase as a Prognostic Factor in Patients with Gastric Cancer

  • Park, Taejin (Department of Surgery, Gyeongsang National University School of Medicine) ;
  • Lee, Young-Joon (Department of Surgery, Gyeongsang National University School of Medicine) ;
  • Jeong, Sang-Ho (Department of Surgery, Gyeongsang National University School of Medicine) ;
  • Choi, Sang-Kyung (Department of Surgery, Gyeongsang National University School of Medicine) ;
  • Jung, Eun-Jung (Department of Surgery, Gyeongsang National University School of Medicine) ;
  • Ju, Young-tae (Department of Surgery, Gyeongsang National University School of Medicine) ;
  • Jeong, Chi-Young (Department of Surgery, Gyeongsang National University School of Medicine) ;
  • Park, Miyeong (Department of Anesthesiology, Gyeongsang National University School of Medicine) ;
  • Hah, Young-Sool (Gyeongnam Regional Cancer Center, Gyeongsang National University School of Medicine) ;
  • Yoo, Jiyun (Department of Microbiology/Research Institute of Life Science, Gyeongsang National University College of Natural Sciences) ;
  • Ha, Woo-Song (Department of Surgery, Gyeongsang National University School of Medicine) ;
  • Hong, Soon-Chan (Department of Surgery, Gyeongsang National University School of Medicine) ;
  • Ko, Gyung Hyuck (Gyeongnam Regional Cancer Center, Gyeongsang National University School of Medicine)
  • Received : 2017.05.08
  • Accepted : 2017.07.28
  • Published : 2017.09.30

Abstract

Purpose: Enolase is a cytoplasmic enzyme that catalyzes the conversion of 2-phosphoglycerate to phosphoenolpyruvate in the glycolytic pathway. The aim of this study was to investigate whether the overexpression of neuron-specific enolase (NSE) can serve as a prognostic factor in patients with gastric cancer (GC). Materials and Methods: To assess its prognostic value in GC, NSE expression was measured by immunohistochemistry in a clinically annotated tissue microarray comprising of 327 human GC specimens. Cytoplasmic NSE expression was scored from 0 to 4, reflecting the percentage of NSE-positive cells. Results: In terms of histology as per the World Health Organization criteria (P=0.34), there were no differences between the NSE overexpression (NSE-OE) and NSE underexpression (NSE-UE) groups. The NSE-OE group showed a significantly lower rate of advanced GC (P<0.01), lymph node metastasis (P=0.01), advanced stage group (P<0.01), cancer-related death (P<0.01), and cancer recurrence (P<0.01). Additionally, a Kaplan-Meier survival analysis revealed that the NSE-OE group had longer cumulative survival times than the NSE-UE group (log-rank test, P<0.01). However, there were no significant differences in the serum levels of NSE expression in patients with GC and healthy volunteers (P=0.28). Conclusions: Patients with NSE overexpressing GC tissues showed better prognostic results, implying that NSE could be a candidate biomarker of GC.

Keywords

References

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