PCSPF-Pancreatic Cancer Survival based on Preoperative Features

The prognostic survival dataset, Pancreatic Cancer Survival based on Preoperative Features (PCSPF), was constructed to explore the impact of key preoperative features on prognosis based on the follow-up data of patients with pancreatic cancer at Changhai Hospital, Shanghai, China. Based on the suggestions of doctors, the PCSPF contained 20 preoperative features that they considered important, including sex, abdominal pain, age, body mass index (BMI), C-reactive protein (CRP), albumin (ALB), CRP/ALB, leukocyte, neutrocyte, platelet, lymphocyte, neutrocyte lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), systemic immune-inflammation index (SII), lactic dehydrogenase, carbohydrate antigen 19-9 (CA19-9), carcinoembryonic antigen (CEA), prealbumin, total bilirubin, and directed bilirubin. The most critical preoperative features affecting individual patients were selected from this list. Patients that survived for less than 90 days, had samples with missing values, or were labeled as survivors but had less than 365 days of follow-up were excluded from the initial 2,257 samples. These steps eliminated potential confounders that could have arisen from surgical interventions or statistical data. In total, 878 samples were selected to construct the dataset. In addition, pancreatic cancer survival prediction was formulated as a binary classification task because survival for at least one year is an important threshold for the prognosis of pancreatic cancer patients. Based on the survival duration, 1 and 0 denoted patients surviving one year or more and less than one year, respectively.