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. 2013 Apr 16;108(7):1488-94.
doi: 10.1038/bjc.2013.108. Epub 2013 Mar 14.

Human equilibrative nucleoside transporter 1 and Notch3 can predict gemcitabine effects in patients with unresectable pancreatic cancer

Affiliations

Human equilibrative nucleoside transporter 1 and Notch3 can predict gemcitabine effects in patients with unresectable pancreatic cancer

K Eto et al. Br J Cancer. .

Abstract

Background: Pancreatic ductal carcinoma (PDC) is one of the most lethal human carcinomas. Expression patterns of some genes may predict gemcitabine (GEM) treatment efficacy. We examined predictive indicators of survival in GEM-treated patients by quantifying the expression of several genes in pre-treatment endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) samples from patients with PDC.

Methods: The expressions of human equilibrative nucleoside transporter 1 (hENT1), deoxycitidine kinase, ribonucleoside reductase 1, ribonucleoside reductase 2 and Notch3 in EUS-FNA tissue samples from 71 patients with unresectable PDC were quantified using real-time reverse transcription-polymerase chain reactions and examined for correlations with GEM sensitivity.

Results: The log-rank test detected no significant differences in overall survival between GEM-treated patients with low and high mRNA levels of all genes examined. However, low Notch3 mRNA expression was significantly associated with longer overall survival in a multivariate analysis for survival (P=0.0094). High hENT1 expression level was significantly associated with a longer time to progression (P=0.039). Interaction tests for GEM administration and hENT1 or Notch3 mRNA expression were statistically significant (P=0.0054 and 0.0047, respectively).

Conclusion: hENT1 and Notch3 mRNA expressions in EUS-FNA specimens were the key predictive biomarkers of GEM effect and GEM sensitivity in patients with unresectable PDC.

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Figures

Figure 1
Figure 1
Flow diagram of the study participants.
Figure 2
Figure 2
Kaplan–Meier curves of survival in the GEM-treated population according to each mRNA expression level. Each mRNA expression level was assigned to high or low using the median as a threshold.
Figure 3
Figure 3
Kaplan–Meier curves of progression-free survival in the GEM-treated population according to each mRNA expression level. Each mRNA expression level was assigned to high or low using the median as a threshold.

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