ArticleAnnals of gastroenterological surgery2026
Association of HAMP Expression and CD8+ T-Cell Infiltration With Atezolizumab-Bevacizumab Response in Hepatocellular Carcinoma.
Article in Annals of gastroenterological surgery, 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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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.
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10 authors.
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Abstract
Aim: Atezolizumab combined with bevacizumab is the standard first-line therapy for unresectable hepatocellular carcinoma; however, predictive biomarkers of therapeutic response remain undefined. We aimed to identify molecular features associated with therapeutic efficacy to develop personalized treatment strategies. Methods: Transcriptomic analyses were performed using public RNA-sequencing datasets of patients with hepatocellular carcinoma receiving anti-PD-L1-based therapy, comparing responders (complete response/partial response) with non-responders (stable disease/progressive disease). Differentially expressed genes and enriched pathways were identified using integrated differential expression and pathway analysis. For validation, RNA-sequencing was performed on institutional tumor samples ( Results: Analysis of public datasets revealed distinct expression profiles in responders, enriched in immune-related and chemokine signaling pathways. Candidate genes, including HAMP, TAT, and HRG, were upregulated in responders. In institutional samples, HAMP expression was significantly higher in preoperatively treated tumors ( Conclusions: Upregulation of HAMP and hepcidin protein expression, together with increased CD8+ T-cell infiltration, was associated with a favorable response to atezolizumab-bevacizumab in patients with hepatocellular carcinoma. HAMP may serve as a component of a composite biomarker predictive of therapeutic sensitivity, warranting validation in larger, multi-institutional cohorts.
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