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TRV-2026-0865Certified recordPeer-reviewed

Integrative single-cell and machine-learning analysis identifies LGALS1 as a macrophage-associated diagnostic and prognostic biomarker in hepatocellular carcinoma

Background Hepatocellular carcinoma (HCC) is characterized by marked heterogeneity and an immunosuppressive microenvironment in which tumor-associated macrophages contribute to disease progression. This study aimed to identify macrophage-associated biomarkers with diagnostic, prognostic, and translational relevance in HCC. Methods Single-cell RNA-sequencing datasets were integrated with bulk transcriptomic and clinical data from TCGA-LIHC, GEO, and ICGC cohorts. Macrophage markers were intersected with tumor-ass…

Health · G Space — documented gain · certified 2026-08-24 · v1 · article view · machine-readable

Current reading — gain

A 16-gene macrophage-associated signature developed with ridge regression and XGBoost stratified HCC patients and achieved high diagnostic discrimination, with LGALS1 emerging as a top feature linked to survival and treatment response.

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Findings are based on retrospective multi-cohort and in vitro analyses and require prospective HCC-specific validation and mechanistic work before clinical use.

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Truvace Impact Record TRV-2026-0865, v1: “Integrative single-cell and machine-learning analysis identifies LGALS1 as a macrophage-associated diagnostic and prognostic biomarker in hepatocellular carcinoma.” Truvace, 2026-08-24. /record/TRV-2026-0865 (accessed at citation time). sha256 b067960adb164934…

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