ORIGINAL RESEARCH article
Front. Nutr.
Sec. Clinical Nutrition
Volume 12 - 2025 | doi: 10.3389/fnut.2025.1680287
This article is part of the Research TopicNutrition in Cancer Patients Undergoing Targeted Therapy: From Mechanisms to Clinical PracticeView all 7 articles
A Prognostic Nutritional Index-Based Nomogram for Predicting Postoperative Survival in Stage I-III Rectal Cancer Patients
Provisionally accepted- 1Department of Prevention & Healthcare,The First Affiliated Hospital, Army Medical University, chognqing, China
- 2The First Affiliated Hospital, Army Medical University, Chongqing, China
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Rectal cancer (RC) is a common malignancy of the digestive system with both high incidence and mortality. Its prognosis is influenced by multiple factors, with nutritional status playing a pivotal role. However, current prognostic models rarely incorporate this factor. To address this gap, we have developed a novel prognostic nomogram. The newly constructed Prognostic Nutritional Index (PNI)-incorporated nomogram incorporates preoperative pathological tumor-node-metastasis (pTNM) stage, preoperative PNI, preoperative serum carcinoembryonic antigen (CEA) levels, intraoperative blood loss (IBL), and postoperative serum CEA levels. Our analysis showed that preoperative PNI ≤47.15, preoperative CEA >14.13 ng/mL, IBL >130 mL, postoperative CEA >4.8 ng/mL, and advanced pTNM stage were independent risk factors for poor survival in patients with stage I-III rectal cancer. Compared with the non-PNI nomograms (combining preoperative CEA, postoperative CEA, pTNM and IBL, but without PNI) and the conventional pTNM staging models, the C-index of the PNI-incorporated nomogram is 0.721, compared to 0.710 for non-PNI nomograms and 0.636 for pTNM staging models, demonstrating improved predictive performance. Furthermore, the PNI-incorporated nomogram achieved AUC values of 0.855, 0.759, and 0.717 for 1- , 3- , and 5-year overall survival prediction, respectively, in the training set, and 0.952, 0.682, and 0.658 for the corresponding time points in the validation set. This model significantly improves existing prognostic methods and provides clinicians with a more comprehensive and clinically applicable tool for predicting
Keywords: rectal cancer, Prognostic nutritional index, Prediction model, Survival, nomogram
Received: 05 Aug 2025; Accepted: 29 Aug 2025.
Copyright: © 2025 Liu, Lei, Li, Peng, Gong and Hu. 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:
Haiyan Gong, Department of Prevention & Healthcare,The First Affiliated Hospital, Army Medical University, chognqing, China
Anhong Hu, Department of Prevention & Healthcare,The First Affiliated Hospital, Army Medical University, chognqing, China
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