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Surgical resections remain the primary curative interventions for hepatocellular carcinoma (HCC). However, lack of real-time intraoperative image guidance confines surgeons to subjective visual assessment of the surgical bed, leading to poor visualization of small positive nodules and the extension of diffuse HCC. To address this problem, we developed a wearable fluorescence imaging and display system (fluorescence goggle) for intraoperative imaging of HCCs in human patients. In this pilot study, both intravenous (IV) and transarterial hepatic (TAH) delivery of indocyanine green (ICG) were explored to facilitate fluorescence goggle-mediated HCC imaging. The results show that all primary tumors in patients (n = 4) who received TAH delivery of ICG were identified successfully by the fluorescence goggle. In addition, 6 satellite tumors were also detected by the goggle, 5 of which were neither identifiable via preoperative magnetic resonance imaging (MRI) and computed tomography (CT) nor by visual inspection and palpation. In the group (n = 5) that received ICG intravenously, only 2 of 6 tumors visible by preoperative MRI or CT were identified with the fluorescence goggle, demonstrating the limitation of this delivery route for a non-tumor-selective imaging agent. Comparative analysis shows that the HCC-to-liver florescence contrast detected by the goggle was significantly greater in patients that received TAH than IV delivery of ICG (P = 0.013). This pilot study demonstrates the feasibility of using the fluorescence goggle to identify multifocal lesions and small tumor deposits using TAH ICG delivery in HCC patients. [ABSTRACT FROM AUTHOR]

Background & Aims: We combined gene expression and metabolic profiling analyses to identify factors associated with outcomes of patients with hepatocellular carcinoma (HCC). Methods: We compared metabolic and gene expression patterns between paired tumor and nontumor tissues from 30 patients with HCC, and validated the results using samples from 356 patients with HCC. A total of 469 metabolites were measured using liquid chromatography/mass spectrometry and gas chromatography/mass spectrometry. Metabolic and genomic data were integrated, and Kaplan–Meier and Cox proportional hazards analyses were used to associate specific patterns with patient outcomes. Associated factors were evaluated for their effects on cancer cells in vitro and tumor formation in nude mice. Results: We identified 28 metabolites and 169 genes associated with aggressive HCC. Lipid metabolites of stearoyl-CoA-desaturase (SCD) activity were associated with aberrant palmitate signaling in aggressive HCC samples. Expression of gene products associated with these metabolites, including SCD, were associated independently with survival times and tumor recurrence in the test and validation sets. Combined expression of SCD and α-fetoprotein were associated with outcomes of patients with early-stage HCC. Levels of monounsaturated palmitic acid, the product of SCD activity, were increased in aggressive HCCs; monounsaturated palmitic acid increased migration and invasion of cultured HCC cells and colony formation by HCC cells. HCC cells that expressed small interfering RNA against SCD had decreased cell migration and colony formation in culture and reduced tumorigenicity in mice. Conclusions: By using a combination of gene expression and metabolic profile analysis, we identified a lipogenic network that involves SCD and palmitate signaling and was associated with HCC progression and patient outcomes. The microarray platform and data have been submitted to the Gene Expression Omnibus public database at NCBI following MIAME guidelines. Accession numbers: GPL4700 (platform), and GSE6857 (samples). [Copyright &y& Elsevier]

Background & Aims: Hepatocellular carcinoma (HCC) is an aggressive malignancy; its mechanisms of development and progression are poorly understood. We used an integrative approach to identify HCC driver genes, defined as genes whose copy numbers associate with gene expression and cancer progression. Methods: We combined data from high-resolution, array-based comparative genomic hybridization and transcriptome analysis of HCC samples from 76 patients with hepatitis B virus infection with data on patient survival times. Candidate genes were functionally validated using in vitro and in vivo models. Results: Unsupervised analyses of array comparative genomic hybridization data associated loss of chromosome 8p with poor outcome (reduced survival time); somatic copy number alterations correlated with expression of 27.3% of genes analyzed. We associated expression levels of 10 of these genes with patient survival times in 2 independent cohorts (comprising 319 cases of HCC with mixed etiology) and 3 breast cancer cohorts (637 cases). Among the 10-gene signature, a cluster of 6 genes on 8p, (DLC1, CCDC25, ELP3, PROSC, SH2D4A, and SORBS3) were deleted in HCCs from patients with poor outcomes. In vitro and in vivo analyses indicated that the products of PROSC, SH2D4A, and SORBS3 have tumor-suppressive activities, along with the known tumor suppressor gene DLC1. Conclusions: We used an unbiased approach to identify 10 genes associated with HCC progression. These might be used in assisting diagnosis and to stage tumors based on gene expression patterns. [Copyright &y& Elsevier]