Background
Hepatocellular carcinoma (HCC) is a highly aggressive tumor associated with significant morbidity and mortality rates. Combination therapy with immune checkpoint inhibitors (ICIs) and kinase inhibitors has emerged as a promising strategy for liver cancer treatment in recent years. However, the clinical factors predicting the outcomes of combination therapy in patients with advanced liver cancer remain uncertain. Therefore, this study investigated the relationships between clinical predictors and the efficacy of ICI plus kinase inhibitor therapy to personalize treatment plans.
Methods
We retrospectively enrolled 98 patients who received combination treatment with ICIs and kinase inhibitors for advanced HCC. Based on blood lipid levels and other clinical factors prior to treatment, we investigated potential biomarkers that could predict treatment responses in this patient population.
Results
Mean progression-free survival (PFS) and overall survival (OS) in this cohort were 10.1 and 17.2 months, respectively. Via multivariate analysis, the absence of extrahepatic metastasis, the absence of portal vein thrombosis (PVT), neutrophil-to-lymphocyte ratio (NLR) < 3.225, platelet-to-lymphocyte ratio (PLR) < 140.75, and prognostic nutritional index (PNI) ≥ 37.25 were identified as independent predictors of improved PFS. Factors associated with better OS included PLR < 140.75 and total cholesterol (TC) < 3.46 mmol/L. Univariate analysis identified significant associations of Eastern Cooperative Oncology Group performance status (ECOG PS), hepatitis B virus (HBV) DNA levels, Child–Pugh classification, alpha-fetoprotein (AFP), TC, and the receipt of regorafenib with PFS. Additionally, ECOG PS, Child–Pugh classification, AFP, PVT, NLR, PNI, and the receipt of regorafenib were significantly associated with OS.
Conclusions
PLR and TC were potential clinical predictive factors for survival outcomes in patients with advanced HCC who received ICI/kinase inhibitor combination therapy. It is important to know the clinical characteristics of patients prior to treatment initiation to optimize outcomes.