ORIGINAL RESEARCH article
Front. Nutr.
Sec. Clinical Nutrition
Volume 12 - 2025 | doi: 10.3389/fnut.2025.1622691
Low Prognostic Nutritional Index Predicts Poor Outcome in Newly Diagnosed Angioimmunoblastic T -Cell Lymphoma
Provisionally accepted
- 1Sichuan cancer hospital, Chengdu, China
- 2Sun Yat-sen University Cancer Center, Guangzhou, China
- 3The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
- 4Department of Medical Oncology, Sichuan Cancer Hospital, Chengdu, China
Select one of your emails
You have multiple emails registered with Frontiers:
Notify me on publication
Please enter your email address:
If you already have an account, please login
You don't have a Frontiers account ? You can register here
Background: Angioimmunoblastic T-cell lymphoma (AITL) is a rare subtype of peripheral T-cell lymphoma, characterized by an aggressive disease course and poor prognosis. The prognostic nutritional index (PNI), which reflects nutritional and immune status, has emerged as a potential prognostic factor in various cancers.In this multicenter retrospective study, a total of 173 patients with AITL between January 2010 and December 2022 were enrolled from three institutes in China. The optimal cutoff value for PNI was determined using the maximally selected rank statistics (MaxStat) analysis. The association of PNI and overall survival (OS) or progression free survival (PFS) was evaluated in univariable and multivariable Cox regression analyses. Receiver operating characteristic (ROC) curves were used to evaluate the prognostic performance and predictive accuracy of PNI combined with International Prognostic Index (IPI) and Prognostic Index for T-cell lymphoma (PIT).Results: Based on the MaxStat analysis, a score of 40.8 was identified as the optimal cutoff value for the PNI. Survival analysis revealed that the low PNI group had worse OS and PFS. The 3-year OS and PFS for the low PNI group were 27.5% and 26.5%, respectively, compared to 84.7% and 74.4% for the high PNI group (P < 0.001). Multivariate analyses indicated that PNI was significantly associated with both OS (HR 0.221, 95% CI 0.128-0.381, P < 0.001) and PFS (HR 0.380, 95% CI 0.242-0.596; P < 0.001).We further integrated PNI into the IPI and PIT prognostic models, and the predictive accuracy of both models was significantly improved.PNI is a simple and easily accessible prognostic indicator for AITL.
Keywords: Angioimmunoblastic T-cell lymphoma, Prognostic nutritional index, lymphocyte, albumin, prognosis, Risk Models
Received: 04 May 2025; Accepted: 16 Jun 2025.
Copyright: © 2025 Li, Zhang, Yu, Wu, Huang, Guo, Lin, Hong and Weng. 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:
Huangming Hong, Sichuan cancer hospital, Chengdu, China
Huawei Weng, Department of Medical Oncology, Sichuan Cancer Hospital, Chengdu, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.