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Systemic Inflammation Score Using Pretherapeutic Inflammatory Markers to Predict Prognosis for Hepatocellular Carcinoma Patients After Hepatic Arterial Infusion Chemotherapy

Authors :
Wu T
Zheng Z
Wang J
He M
Pan Y
Chen J
Hu D
Zhang Y
Xu L
Chen M
Zhou Z
Source :
Journal of Hepatocellular Carcinoma, Vol Volume 10, Pp 2133-2145 (2023)
Publication Year :
2023
Publisher :
Dove Medical Press, 2023.

Abstract

Tianqing Wu,1,2,* Zhikai Zheng,1,2,* Jiongliang Wang,1,2,* Minrui He,1,2,* Juncheng Wang,1,2 Yangxun Pan,1,2 Jinbin Chen,1,2 Dandan Hu,1,2 Yaojun Zhang,1,2 Li Xu,1,2 Minshan Chen,1,2 Zhongguo Zhou1,2 1State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 2Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, 510060, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhongguo Zhou, Department of Liver Surgery, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Dongfeng Road East 651, Guangzhou, Guangdong, 510060, People’s Republic of China, Email zhouzhg@sysucc.org.cnPurpose: To assess the clinical value of the pretherapeutic systemic inflammation score (SIS) in predicting the prognosis of hepatocellular carcinoma (HCC) after hepatic arterial infusion chemotherapy (HAIC).Methods: From February 2016 to April 2021, 415 advanced HCC patients who underwent HAIC at Sun Yat-sen University Cancer Center were randomly divided into training (n = 277) and validation cohorts (n = 138) and analyzed. The aspartate aminotransferase–alanine aminotransferase ratio (AAR), lymphocyte × albumin (L × A), and neutrophil × monocyte (N × M) were used to construct the SIS score based on a multivariate Cox analysis in the training cohort. A nomogram consisting of the SIS score was created and evaluated by calibration plot, areas under the receiver operating characteristic (AUC) curve, and decision curve analysis (DCA).Results: Univariate and multivariate Cox analyses revealed that the SIS score was an independent predictor of OS. A high SIS score was associated with large tumor size (P < 0.05), multiple lesions (P < 0.01), high AFP level (P < 0.01), extrahepatic metastasis (P < 0.05), and advanced BCLC stage (P < 0.01). Kaplan–Meier analysis showed that the patients with a high SIS had shorter OS than those with a low SIS in both the non-PD (p = 0.015) and PD group (p = 0.023). The calibration plots showed good concordance between the nomogram’s prediction and the actual observations in both the training and validation cohorts. In the training cohort, the AUCs of the nomogram predicting the 2-year and 3-year survival rates were 0.749 and 0.739, respectively; in the validation cohort, they were 0.760 and 0.681, respectively. Based on the AUC and DCA, the nomogram showed better predictive ability than other predictors.Conclusion: The pretherapeutic SIS score is a potential prognostic predictor for HCC patients undergoing HAIC.Keywords: HCC, systemic inflammation score, nomogram, prognosis

Details

Language :
English
ISSN :
22535969
Volume :
ume 10
Database :
Directory of Open Access Journals
Journal :
Journal of Hepatocellular Carcinoma
Publication Type :
Academic Journal
Accession number :
edsdoj.569d5d52c22c4f2795edd3961f301cec
Document Type :
article