Pu T, Li ZH, Jiang D, Chen JM, Guo Q, Cai M, Chen ZX, Xie K, Zhao YJ, Liu FB. Nomogram based on inflammation-related markers for predicting survival of patients undergoing hepatectomy for hepatocellular carcinoma. World J Clin Cases 2021; 9(36): 11193-11207 [PMID: 35071550 DOI: 10.12998/wjcc.v9.i36.11193]
Corresponding Author of This Article
Fu-Bao Liu, MD, PhD, Chief Doctor, Professor, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, Anhui Province, China. lancetlfb@126.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Cases. Dec 26, 2021; 9(36): 11193-11207 Published online Dec 26, 2021. doi: 10.12998/wjcc.v9.i36.11193
Nomogram based on inflammation-related markers for predicting survival of patients undergoing hepatectomy for hepatocellular carcinoma
Tian Pu, Zi-Han Li, Dong Jiang, Jiang-Ming Chen, Qi Guo, Ming Cai, Zi-Xiang Chen, Kun Xie, Yi-Jun Zhao, Fu-Bao Liu
Tian Pu, Zi-Han Li, Dong Jiang, Jiang-Ming Chen, Qi Guo, Zi-Xiang Chen, Kun Xie, Yi-Jun Zhao, Fu-Bao Liu, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui Province, China
Ming Cai, Department of General Surgery, The First Affiliated Hospital of University of Science and Technology of China, Hefei 230022, Anhui Province, China
Author contributions: Liu FB proposed the study; Chen ZX, Xie K and ZhaoYJ interpreted the results and prepared and revised the manuscript; Chen JM, Guo Q and Cai M extracted the clinical data and calculated the clinical correlations; Pu T, Li ZH and Jiang D contributed to the data analysis and manuscript writing; all authors contributed to the design and interpretation of the study and to further drafts and approved the final version to be published; Liu FB is the guarantor.
Supported byKey Research and Development Plan of Anhui Province, No. 1804h08020239 (Dr. Liu FB).
Institutional review board statement: The study was reviewed and approved by the First Affiliated Hospital of Anhui Medical University Institutional Review Board [(Approval No. Quick-PJ 2021-01-22)].
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: The authors declare that there are no any conflicts of interest.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Fu-Bao Liu, MD, PhD, Chief Doctor, Professor, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, Anhui Province, China. lancetlfb@126.com
Received: May 3, 2021 Peer-review started: May 3, 2021 First decision: June 2, 2021 Revised: June 16, 2021 Accepted: August 24, 2021 Article in press: August 24, 2021 Published online: December 26, 2021 Processing time: 234 Days and 4.2 Hours
ARTICLE HIGHLIGHTS
Research background
Hepatocellular carcinoma (HCC) is a common malignancy. The prognosis of HCC is poor and affected by many factors.
Research motivation
In this study, a nomogram model was established to predict the prognosis of patients by inflammatory and pathological indicators. Through the online version of dynamic nomogram, it is more convenient for clinical use to help evaluate the prognosis of patients.
Research objectives
The nomogram included inflammatory markers, tumour markers and pathological indicators, ensuring that the model can comprehensively assess the prognosis of patients.
Research methods
The data of HCC patients in the two largest hepatobiliary centres in Anhui province were collected retrospectively, and the independent risk factors included in the nomogram were obtained by COX analysis. Patients from the two centres were divided into training and validation cohorts. The reliability of the models was verified through internal validation and external validation.
Research results
Higher α-fetoprotein, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), tumour size ≥ 5 cm and poor differentiation were significantly associated with shortened overall survival. The nomogram was more accurate in predicting prognosis than the American Joint Committee on Cancer TNM staging system.
Research conclusions
Inflammation-related markers (such as NLR and PLR) play a predictive role in the prognosis of patients with HCC, and should not be ignored in clinical practice. The application of online dynamic nomogram can improve clinical practicability.
Research perspectives
The inherent limitations of retrospective studies require prospective cohort validation.
