Evidence map›Paper›PMID 42602690›Full record

ArticleJournal of hepatocellular carcinoma2026

Early Changes in the Neutrophil-to-Lymphocyte Ratio are Associated with Conversion Outcomes in Advanced Hepatocellular Carcinoma Treated with HAIC-Based Triple Therapy.

Yang Wang, Xiaoyi Duan, Huanzhang Niu, Chaoyang Wang

Abstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yang WangDepartment of Interventional Radiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, People's Republic of China.
Xiaoyi DuanDepartment of Interventional Radiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, People's Republic of China.
Huanzhang NiuDepartment of Interventional Radiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, People's Republic of China.
Chaoyang WangDepartment of Interventional Radiology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reliable early biomarkers for identifying conversion potential during HAIC-based triple therapy in advanced unresectable hepatocellular carcinoma (uHCC) remain lacking. This study evaluated the predictive value of dynamic systemic inflammatory remodeling during treatment. Methods: In this single-center retrospective cohort study, we included 296 patients with advanced uHCC treated with hepatic artery infusion chemotherapy combined with tyrosine kinase inhibitors and immune checkpoint inhibitors. Patients were stratified according to conversion status. ΔNLR was calculated as the NLR measured after the first treatment cycle minus the baseline NLR. Predictors for conversion were identified using logistic regression and evaluated via receiver operating characteristic analysis. A predictive nomogram was subsequently constructed and validated using calibration and decision curve analyses. Results: Among 296 patients, 125 (42.2%) achieved successful conversion resection. Baseline NLR showed minimal predictive value for conversion (AUC = 0.501), whereas ΔNLR demonstrated significantly improved predictive performance (AUC = 0.819). The optimal cohort-derived cutoff was ΔNLR ≤ 0.20, with a sensitivity of 72.0% and a specificity of 91.8%. Multivariate analysis showed that higher ΔNLR was independently associated with lower odds of successful conversion (OR = 0.415, 95% CI: 0.328-0.524, P < 0.001). Patients in the conversion group achieved significantly improved tumor responses, overall survival, and progression-free survival. The nomogram incorporating ΔNLR demonstrated good calibration and clinical utility. Conclusion: Lower ΔNLR values after one treatment cycle were associated with successful conversion resection during HAIC-based triple therapy for advanced uHCC. ΔNLR may serve as a candidate early marker of conversion potential, pending prospective external validation.

Indexed as

conversion therapyhepatic artery infusion chemotherapyhepatocellular carcinomaneutrophil-to-lymphocyte ratio

Identifiers

PMID42602690
PMCPMC13475547

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.