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Updated: Oct 5, 2025
Isolation of Proximal Fluids to Investigate the Tumor Microenvironment of Pancreatic Adenocarcinoma
Published on: November 5, 2020
How can we better predict the prognosis of patients with pancreatic cancer undergoing surgery using an
Chao Dang1, Min Wang1, Tingting Qin1
1Department of Pancreatic-Biliary Surgery, Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background:
Several immune-nutritional scores have been used to predict the prognosis of pancreatic cancer, but the efficacies of these scores have yet to be compared. This study aimed to compare various immune-nutritional scores and establish a more accurate scoring system to evaluate the prognosis of pancreatic cancer.
Methods:
The preoperative immune-nutritional scores of 411 patients with pancreatic cancer who underwent radical surgery were retrospectively compared. The cut-off point for predicting mortality was determined using X-tile analysis. The efficacies of various immune-nutritional scores for predicting the short- and long-term outcomes of pancreatic cancer were compared. A new nomogram was established based on immune-nutritional scores.
Results:
Regardless of the immune-nutritional scoring method, the short- and long-term outcomes of the group with better nutritional status were better than those of the other groups. The modified Glasgow prognosis score (C-index = 0.74) and controlling nutritional status score (C-index = 0.61) were more effective for predicting the prognosis of pancreatic cancer. A nomogram based on controlling nutritional status, red blood cell distribution, modified Glasgow prognosis score, and tumor node metastasis classification stage was more accurate than any single immune-nutritional score for predicting pancreatic cancer prognosis (C-index = 0.78).
Conclusion:
Patients with pancreatic cancer with poor preoperative nutritional status have a poorer prognosis. We identify a new nomogram based on immune-nutritional scores that provides an accurate and individualized prediction of prognosis for pancreatic cancer.
