ArticleJournal of hepatocellular carcinoma2024
Dynamic Changes of Neutrophil-to-Lymphocyte Ratio on Predicting Response of Immune Checkpoint Inhibitors Plus Targeted Therapies for Unresectable Hepatocellular Carcinoma.
Article in Journal of hepatocellular carcinoma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A simplified MRI‑based risk score and nomogram to predict initial objective response in unresectable hepatocellular carcinoma treated with HAIC, targeted therapy, and immunotherapy: a multicenter study.Abdominal radiology (New York) · 2026Article
- NLR-based nomogram predicts survival in hepatocellular carcinoma treated with TACE plus targeted immunotherapy.BMC cancer · 2026Article
- Article
- A time-dependent model for quantifying postoperative inflammatory trajectories and predicting survival in early triple-negative breast cancer.World journal of surgical oncology · 2025Article
- Predictive value of peripheral blood CD4Frontiers in immunology · 2025Article
- Assessing the Predictive Value of NLR and PLRs in Advanced Hepatocellular Carcinoma Patients Receiving First-line Systemic Therapy: Observations from a Tertiary Care Hospital in Pakistan.Euroasian journal of hepato-gastroenterologyArticle
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Authors and funding
5 authors.
Funding
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Abstract
Backgrounds and Aims: Multiple regimens of immune checkpoint inhibitors (ICIs) plus targeted therapies are commonly prescribed as first-line treatments for unresectable hepatocellular carcinoma (uHCC). Here, we aimed to investigate the correlation between dynamic changes of neutrophil-to-lymphocyte ratio (NLR) and tumor response to the combination of ICIs and targeted therapies for uHCC. Methods: Sixty-one patients who received ICIs plus targeted therapies for uHCC were enrolled in this retrospective study. The NLR before and at 3-6 weeks after treatments were assessed to calculate the dynamic NLR changes (ΔNLR). Multivariate logistic regression and Cox regression models were used to explore the relationship between dynamic NLR changes and tumor response or progression-free survival (PFS), respectively. Furthermore, we assessed the predictive effect of alpha-fetoprotein (AFP) changes in combination with dynamic NLR changes compared to AFP changes alone. Results: The NLR at 3-6 weeks and ΔNLR after treatments significantly increased in patients who underwent progressive disease (PD), while the baseline NLR showed no significant difference between different tumor responses. Increased NLR and AFP after treatments were both independent predictors of PD (For NLR increase: OR, 2.28; 95% CI, 1.47-3.88, P < 0.001; For AFP increase: OR, 1.46; 95% CI, 1.03-2.17, P = 0.043), and correlated with worse PFS (for NLR increase: HR, 4.08; 95% CI, 1.99-8.36, P < 0.001; for AFP increase: HR, 2.10; 95% CI, 1.04-4.24, P = 0.039). The receiver operating characteristic (ROC) curve and net reclassification index (NRI) showed that the combination of dynamic NLR and AFP changes was better than AFP changes alone on predicting PD (AUC: 0.83 vs 0.68, P = 0.034; NRI: 0.340, P = 0.048) and PFS (AUC: 0.80 vs 0.70, P = 0.166; NRI: 0.431, P = 0.042). Conclusion: Dynamic changes of NLR might be an effective predictor of the therapeutic response to ICIs plus targeted therapies for uHCC.
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