Prognostic Value Of Preoperative Systemic Inflammatory Biomarkers In Patients With Gallbladder Cancer And The Establishment Of A Nomogram
Authors Deng Y, Zhang F, Yu X, Huo CL, Sun ZG, Wang S
Received 3 June 2019
Accepted for publication 16 September 2019
Published 21 October 2019 Volume 2019:11 Pages 9025—9035
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 3
Editor who approved publication: Dr Beicheng Sun
Yan Deng,1 Feng Zhang,2 Xiao Yu,1 Cheng-Long Huo,1 Zhen-Gang Sun,1 Shuai Wang1
1Department of Hepatobiliary Surgery, Jing Zhou Central Hospital, The Second Clinical Medical College, Yangtze University, Jing Zhou, Hubei 434020, People’s Republic of China; 2Department of Ophthalmology, Jing Zhou Central Hospital, The Second Clinical Medical College, Yangtze University, Jing Zhou, Hubei 434020, People’s Republic of China
Correspondence: Shuai Wang; Zhen-Gang Sun
Department of Hepatobiliary Surgery, Jing Zhou Central Hospital, The Second Clinical Medical College, Yangtze University, Jing Zhou, Hubei 434020, People’s Republic of China
Email firstname.lastname@example.org; email@example.com
Background and aim: Preoperative systemic inflammatory biomarkers, including neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR) have been developed to predict patient outcome in several types of carcinomas. The aim of this study was to investigate the potential prognostic value of NLR, dNLR, PLR, and LMR, and establish a prognostic nomogram in postoperative GBC patients who underwent radical cholecystectomy.
Methods: 169 GBC patients were retrospectively enrolled in the present study. ROC curve analysis was used to determine the optimal cut-off values of systemic inflammatory biomarkers. The prognostic value of those biomarkers was investigated according to the Kaplan-Meier method and Cox regression model. A relevant prognostic nomogram was established.
Results: Results showed that NLR, dNLR, PLR, and LMR were significantly associated with overall survival (OS); whereas, NLR and LMR were retained as independent indicators. Based on these independent predictors including tumor differentiation, T stage, N stage, CEA, NLR, and LMR, a nomogram was generated with an accuracy of 0.801.
Conclusion: Based on our findings, the predictive nomogram could accurately predict individualized survival probability of postoperative GBC patients, and might support clinicians in treatment optimization and clinical decision-making.
Keywords: gallbladder carcinoma, systemic inflammatory biomarker, prognosis, overall survival, nomogram
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