Malignant nonfunctioning endocrine tumors of the pancreas: predictive factors for survival after surgical treatment.
BACKGROUND
There are scant studies that have analyzed the prognostic factors for malignant nonfunctioning endocrine tumors of the pancreas. We identified the predictive factors associated with long-term survival after surgical resection for malignant nonfunctioning endocrine tumors.


METHODS
Among the 25 patients seen at our hospital with a diagnosis of malignant nonfunctioning endocrine tumor, a review was performed on 22 of these patients who were surgically treated at our institution over the last 10 years. The following factors were evaluated for disease-specific mortality: age, gender, tumor location, tumor size, histological differentiation, status of the resection margin, and status of lymph node involvement.


RESULTS
Tumor recurrence was noted in 9 cases (40.9%) among the 22 operated patients. Of the 9 recurrent cases, 7 patients (77.8%) had liver metastases. The median follow-up period was 24.8 (range: 3.7-121.4) months. The overall actuarial 1-, 2- and 5-year survival rates were 84.1%, 72.5%, and 52.8%, respectively. The factor shown to have a favorable independent prognostic significance was a negative resection margin (odds ratio = 19.44, 95% confidence interval = 1.22-310.54, P = 0.036).


CONCLUSIONS
Definitive surgical resection of the primary tumor was a predictor of long-term survival after surgical resection for malignant nonfunctioning endocrine tumor.
Chung
Jun Chul
JC
Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Choi
Dong Wook
DW
Jo
Sung Ho
SH
Heo
Jin Seok
JS
Choi
Seong Ho
SH
Kim
Yong Il
YI
D000328:Adult; D000368:Aged; D005260:Female; D006801:Humans; D008207:Lymphatic Metastasis; D008297:Male; D008875:Middle Aged; D009364:Neoplasm Recurrence, Local; D018358:Neuroendocrine Tumors / Q000601:surgery*; D010190:Pancreatic Neoplasms / Q000601:surgery*; D011237:Predictive Value of Tests; D011379:Prognosis; D016016:Proportional Hazards Models; D012189:Retrospective Studies; D016019:Survival Analysis; D016896:Treatment Outcome