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Huang JC, Wang HX, Zhao Y, Li XL, He Q, Lang R, Zhou L. Nomogram integrating prognostic immune-inflammatory-nutritional score with clinicopathological parameters for predicting post-transplantation outcomes in hepatocellular carcinoma. World J Gastroenterol 2027; 33(1): 122971 [DOI: 10.3748/wjg.122971]
World J Gastroenterol. Jan 7, 2027; 33(1): 122971 Published online Jan 7, 2027. doi: 10.3748/wjg.122971
Nomogram integrating prognostic immune-inflammatory-nutritional score with clinicopathological parameters for predicting post-transplantation outcomes in hepatocellular carcinoma
Jin-Can Huang, Han-Xuan Wang, Yang Zhao, Xian-Liang Li, Qiang He, Ren Lang, Lin Zhou
Jin-Can Huang, Han-Xuan Wang, Yang Zhao, Xian-Liang Li, Qiang He, Ren Lang, Lin Zhou, Division of Hepatobiliary and Pancreaticosplenic Surgery, Department of General Surgery, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
Jin-Can Huang, Department of Hepatobiliary Surgery, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222000, Jiangsu Province, China
Co-first authors: Jin-Can Huang and Han-Xuan Wang.
Co-corresponding authors: Ren Lang and Lin Zhou.
Author contributions: Huang JC and Wang HX contributed equally to this manuscript and shared the first authorship; Zhou L and Lang R were the co-corresponding authors of this research; Huang JC and Zhou L conceptualized and designed the research study; Huang JC and Wang HX performed the formal analysis, wrote the original draft; Zhao Y collected the data; Li XL and He Q provided resources; Lang R and Zhou L supervised the project and administered the study; Zhou L acquired funding for the study; Lang R and Zhou L reviewed and edited the manuscript; all authors have read and approved the final version of the manuscript.
AI contribution statement: AI tools (ChatGPT) were used for language polishing during manuscript preparation. No AI tool was involved in the generation of research data, interpretation of results, or formulation of conclusions. All AI-generated outputs were critically reviewed and revised by the authors.
Supported by the National Natural Science Foundation of China, No. 82370665.
Institutional review board statement: This study was conducted in accordance with the Declaration of Helsinki. The study was reviewed and approved by the Ethics Committee of Beijing Chao-Yang Hospital, Capital Medical University (approval No. 2020-D-303).
Informed consent statement: Given the retrospective design, the requirement for written informed consent was waived by Ethics Committee of Beijing Chao-Yang Hospital, Capital Medical University.
Conflict-of-interest statement: The authors declare that they have no conflict of interest.
STROBE statement: The authors have read the STROBE Statement—a checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-a checklist of items.
Data sharing statement: The datasets used during the current study are available from the corresponding author (richard_fmmu@126.com) on reasonable request.
Corresponding author: Lin Zhou, MD, Doctor, Division of Hepatobiliary and Pancreaticosplenic Surgery, Department of General Surgery, Beijing Chao-Yang Hospital, Capital Medical University, No. 8 Gongtinan Road, Chaoyang District, Beijing 100020, China. richard_fmmu@126.com
Received: May 7, 2026 Revised: July 3, 2026 Accepted: July 29, 2026 Published online: January 7, 2027 Processing time: 189 Days and 20.5 Hours
Core Tip
Core Tip: Although nutritional, immune and inflammatory status affect hepatocellular carcinoma (HCC) prognosis, composite indicators reflecting these factors remain unreported. We retrospectively enrolled 269 HCC patients undergoing liver transplantation and constructed a prognostic immune-inflammatory-nutritional (PIIN) score using least absolute shrinkage and selection operator regression on routine blood test-derived indicators. A PIIN-based prediction model incorporating PIIN score, tumor number, tumor size, alpha fetoprotein and differentiation was also established. A high PIIN score independently predicted worse overall and disease-free survival, showed favorable discrimination, calibration, and clinical utility superior to conventional criteria, and may serve as a practical tool for evaluating post-transplant prognosis in HCC.
