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ORIGINAL RESEARCH article
Front. Oncol.
Sec. Cancer Epidemiology and Prevention
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1447055
This article is part of the Research Topic The Growing Role of Immunotherapy and Combination Strategies in Pancreatic and Hepatobiliary Cancers View all 11 articles
Establishment of a nomogram based on Lasso Cox regression for albumin combined with systemic immuneinflammation index score to predict prognosis in advanced pancreatic carcinoma
Provisionally accepted- 1 Xuzhou Medical University, Xuzhou, China
- 2 Yancheng First People's Hospital, Yancheng, Jiangsu, China
The study aims to establish a nomogram to predict advanced pancreatic carcinoma patients' overall survival (OS), incorporating albumin combined with systemic immune-inflammation index (A-SII) score and clinical characteristics.: A retrospective study analyzed the clinical data of 205 advanced pancreatic carcinoma patients without antitumor treatment from the Yancheng No.1 People's Hospital between October 2011 and June 2023, and the study divided patients into the training set and the validation set randomly at the proportion of three to one. The A-SII score was divided into scores of 0, 1, and 2 according to the different levels of albumin and SII. Receiver operating characteristic (ROC) curves and time-dependent area under the curve were used to evaluate the predictive ability of the A-SII score. The nomogram1 and nomogram2 were established by the multivariate Cox regression and Lasso Cox regression respectively. The study evaluated the discriminability of nomogram1 and nomogram2 based on C-index and ROC curves to obtain the optimal model. Subsequently, we plotted decision curve analyses (DCA) and calibration curves to estimate the clinical benefit and accuracy of nomogram2.Results: Lasso Cox regression showed that A-SII score, number of organ metastases, tumor size, chemotherapy, targeted therapy, Neutrophil-to-albumin ratio, and lactate dehydrogenase were independent prognostic factors for the OS of advanced pancreatic carcinoma patients. The C-index and ROC curve of the nomogram2 are better than the nomogram1. Subsequently, the DCA and calibration curve of the nomogram2 demonstrate excellent performance.The nomogram based on the A-SII score and other independent prognostic factors determined by Lasso Cox regression can accurately predict the OS of patients suffering from advanced pancreatic carcinoma.
Keywords: Advanced pancreatic carcinoma, LASSO Cox regression, A-SII score, nomogram, overall survival
Received: 11 Jun 2024; Accepted: 26 Mar 2025.
Copyright: © 2025 Xu, Xu, Long, Chen, Li and Xin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Yonghua Xu, Xuzhou Medical University, Xuzhou, China
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