October - December 2012, Volume 8, Issue 4

Uguz A, Unalp O V, Yeniay L, Farajov R, Yoldas T,Sezer T O, Ipek N Y, Nart D, Yilmaz F, Sozbilen M, Coker A

Factors CD10, cytokeratin 19 and staging-grading systems in predicting the prognosis of pancreatic neuroendocrine tumors (PNET)

Acta Endo (Buc) 2012, 8 (4): 653-666
doi: 10.4183/aeb.2012.653

Objective. This study was undertaken to examine prognostic factors in patients with pancreatic neuroendocrine tumors (PNET) undergoing surgical treatment to evaluate the prognostic value of recently introduced immunohistochemical staining methods of CD10 and cytokeratin 19. Materials and Methods. Tumors were classified on the basis of 2004 WHO Classification Guidelines and European Neuroendocrine Tumor\r\nSociety (ENETS) grading system. Immunohistochemical staining with Ki- 67, CD10 and cytokeratin 19 was performed. Results. A total of 36 patients with a mean age of 53.7 ? 12.0 years were included. Overall, 33 patients had a long-term follow-up with 10 patients (30.3%) experiencing recurrence. Seven\r\npatients (21.1%) died. Clinical parameters that were associated with recurrence included liver metastasis at the time of surgery and extra-pancreatic invasion (p < 0.005). Positive surgical margins, extra-pancreatic invasion, and multi-focal disease were associated with reduced survival (p < 0.05). In addition, there was an association between\r\nsurvival and WHO 2004 classification (p < 0.05).\r\nConclusions. Although vascular and peripancreatic invasion showed increased risk of recurrence, they were unrelated to survival. Of the histopathological examinations, Ki-67\r\nand mitotic activity showed a correlation with both recurrence and survival, while immunohistochemical\r\nstaining with cytokeratin 19 and CD 10 did not provide adequate prognostic information.

Keywords: neuroendocrine tumor, pancreas, prognostic factors, CD-10, cytokeratin-19

Correspondence: Omer Vedat Unalp, M.D., Ege Universitesi Tip Fak?ltesi Genel Cerrahi A.D bornova Izmir 35100, Turkey,\r\nE-Mail:omerunalp@gmail.com