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

PURPOSE: 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...

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Autores principales: Wu, Tianqing, Zheng, Zhikai, Wang, Jiongliang, He, Minrui, Wang, Juncheng, Pan, Yangxun, Chen, Jinbin, Hu, Dandan, Zhang, Yaojun, Xu, Li, Chen, Minshan, Zhou, Zhongguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10697146/
http://dx.doi.org/10.2147/JHC.S437329
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author Wu, Tianqing
Zheng, Zhikai
Wang, Jiongliang
He, Minrui
Wang, Juncheng
Pan, Yangxun
Chen, Jinbin
Hu, Dandan
Zhang, Yaojun
Xu, Li
Chen, Minshan
Zhou, Zhongguo
author_facet Wu, Tianqing
Zheng, Zhikai
Wang, Jiongliang
He, Minrui
Wang, Juncheng
Pan, Yangxun
Chen, Jinbin
Hu, Dandan
Zhang, Yaojun
Xu, Li
Chen, Minshan
Zhou, Zhongguo
author_sort Wu, Tianqing
collection PubMed
description PURPOSE: 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.
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spelling pubmed-106971462023-12-06 Systemic Inflammation Score Using Pretherapeutic Inflammatory Markers to Predict Prognosis for Hepatocellular Carcinoma Patients After Hepatic Arterial Infusion Chemotherapy Wu, Tianqing Zheng, Zhikai Wang, Jiongliang He, Minrui Wang, Juncheng Pan, Yangxun Chen, Jinbin Hu, Dandan Zhang, Yaojun Xu, Li Chen, Minshan Zhou, Zhongguo J Hepatocell Carcinoma Original Research PURPOSE: 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. Dove 2023-12-01 /pmc/articles/PMC10697146/ http://dx.doi.org/10.2147/JHC.S437329 Text en © 2023 Wu et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Wu, Tianqing
Zheng, Zhikai
Wang, Jiongliang
He, Minrui
Wang, Juncheng
Pan, Yangxun
Chen, Jinbin
Hu, Dandan
Zhang, Yaojun
Xu, Li
Chen, Minshan
Zhou, Zhongguo
Systemic Inflammation Score Using Pretherapeutic Inflammatory Markers to Predict Prognosis for Hepatocellular Carcinoma Patients After Hepatic Arterial Infusion Chemotherapy
title Systemic Inflammation Score Using Pretherapeutic Inflammatory Markers to Predict Prognosis for Hepatocellular Carcinoma Patients After Hepatic Arterial Infusion Chemotherapy
title_full Systemic Inflammation Score Using Pretherapeutic Inflammatory Markers to Predict Prognosis for Hepatocellular Carcinoma Patients After Hepatic Arterial Infusion Chemotherapy
title_fullStr Systemic Inflammation Score Using Pretherapeutic Inflammatory Markers to Predict Prognosis for Hepatocellular Carcinoma Patients After Hepatic Arterial Infusion Chemotherapy
title_full_unstemmed Systemic Inflammation Score Using Pretherapeutic Inflammatory Markers to Predict Prognosis for Hepatocellular Carcinoma Patients After Hepatic Arterial Infusion Chemotherapy
title_short Systemic Inflammation Score Using Pretherapeutic Inflammatory Markers to Predict Prognosis for Hepatocellular Carcinoma Patients After Hepatic Arterial Infusion Chemotherapy
title_sort systemic inflammation score using pretherapeutic inflammatory markers to predict prognosis for hepatocellular carcinoma patients after hepatic arterial infusion chemotherapy
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10697146/
http://dx.doi.org/10.2147/JHC.S437329
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