Oncology Letters · 2016 · 30 citations · 24 references
MedicineOncologyPathologyEndocrine OncologyMolecular OncologyNeoplasiaEndocrine Tumor PrognosisEndocrine TumorsMalignant NeoplasmsMolecular Classification Of TumorsNeuroendocrine TumorsPancreatic CancerEndocrine Tumor ImmunohistochemistryImmunohistochemical BiomarkersImmunohistochemical DetectionImmunohistochemical MarkersLymph Node Metastasis BiomarkersLymph Node Metastasis PrognosisPancreatic Neuroendocrine NeoplasmsPancreatic Neuroendocrine Tumor Pathology
The present study aimed to investigate the prognostic usefulness of the expression of glucose transporter type 1 (GLUT-1) and GLUT-2, hypoxia-inducible factor 1α (HIF-1α) and insulin-like growth factor II messenger RNA-binding protein 3 (IMP3) in pancreatic neuroendocrine tumors (pNETs). Immunohistochemical staining for GLUT-1, GLUT-2, HIF-1α and IMP3 was performed in 70 pNET specimens. The expression of GLUT-1 and HIF-1α was significantly higher in the World Health Organization grade 2 (G2), neuroendocrine carcinoma cases and mixed-type pNETs compared with the G1 cases. Vessel invasion, a high Ki-67 labeling index and a high mitotic count were significantly more frequent in the GLUT-1- and HIF-1α-positive cases compared with the negative cases. Lymph node metastasis was significantly higher in the GLUT-1-positive cases than in the negative cases. Insulin expression was significantly higher in the IMP3-positive cases than the negative cases. The GLUT-1 expression group experienced a significantly poor disease-free survival rate compared with the negative GLUT-1 expression group. HIF-1α expression was significantly correlated with poor disease-free survival and overall survival rates. A multivariate analysis revealed that lymph node metastasis was an independent risk factor for disease-free survival in all cases. In the G1/G2 group, tumor size and lymph node metastasis were independent risk factors for disease-free survival. Overall, the results suggested that GLUT-1 is a useful prognostic biomarker for pNETs.
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