Prognosis and survival analysis of patients with pancreatic cancer: retrospective experience of a single institution

WORLD JOURNAL OF SURGICAL ONCOLOGY(2022)

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摘要
Background The overall survival of patients with pancreatic cancer is extremely low. Despite multiple large-scale studies, identification of predictors of patient survival remains challenging. This study aimed to investigate the prognostic factors for pancreatic cancer. Methods The clinical data of 625 patients with pancreatic cancer treated at Shengjing Hospital of China Medical University from January 2013 to December 2017 were collected. Results Of 625 patients, 569 were followed from 1 to 75 months. The median overall survival was 9.3 months. The overall 1-, 3-, and 5-year survival rates were 37.8%, 15.1%, and 10.5%, respectively. Cox proportional hazards model indicated that baseline carbohydrate antigen 199 level, neutrophil-lymphocyte ratio, operative procedure, lymph node metastasis, number of distant organ metastasis, and postoperative adjuvant chemotherapy were independent prognostic factors of patients with pancreatic cancer. Baseline carbohydrate antigen 199 level, degree of weight loss, operative procedure, lymph node metastasis, number of distant organ metastasis, and postoperative adjuvant chemotherapy were independent prognostic factors of pancreatic head cancer subgroup. Baseline carbohydrate antigen 199 level, carcinoembryonic antigen level, total bilirubin level, neutrophil-lymphocyte ratio, peripancreatic invasion, number of distant organ metastasis, and postoperative adjuvant chemotherapy were independent prognostic factors of the pancreatic body/tail cancer subgroup. Conclusions Higher carbohydrate antigen 199 levels, neutrophil-lymphocyte ratio, lymph node metastasis and distant organ metastasis predict a poor prognosis in patients with pancreatic cancer. Early detection, early radical surgery and adjuvant chemotherapy are needed to improve prognosis for this deadly disease.
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关键词
Pancreatic cancer, Clinicopathological factor, Therapy method, Prognosis, Cox regression analysis
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