ArticleJournal of hepatocellular carcinoma2023
Systemic Inflammation Score Using Pretherapeutic Inflammatory Markers to Predict Prognosis for Hepatocellular Carcinoma Patients After Hepatic Arterial Infusion Chemotherapy.
Article in Journal of hepatocellular carcinoma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 3 citations in OpenAlex.
- Trajectory-Based Integration of Biomarker Dynamics and Clinical Features for Prognostic Prediction in Hepatocellular Carcinoma: A Retrospective Cohort Study.Journal of hepatocellular carcinoma · 2026Article
- Predictive factors and prognostic models for Hepatic arterial infusion chemotherapy in Hepatocellular carcinoma: a comprehensive review.World journal of surgical oncology · 2025Review
- Serum GDF15 level as predictive biomarker of clinical outcome in patients with unresectable hepatocellular carcinoma treated with hepatic arterial infusion chemotherapy.Frontiers in immunology · 2025Article
- Nomograms based on ratio indexes to predict severity and prognosis in immune checkpoint inhibitors-related myocarditis: a retrospective analysis.Journal of cancer research and clinical oncology · 2024Article
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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