Purpose: The aim of this study was to assess the early response to sorafenib using ultrasound molecular imaging in a murine model of hepatocellular carcinoma (HCC).
Procedures: A xenograft model of HCC was established. Then, mice were divided in two groups and received treatment (sorafenib) or placebo for 14 days. The treatment group was further divided into non-responders and responders according to the degree of growth. Contrast enhanced ultrasound (CEUS) was performed using VEGFR-2 targeted microbubbles (BR55, Bracco Suisse SA, Geneva, Switzerland). Dedicated software was used to quantify the amount of bound microbubbles in the tumor as a numerical value (differential targeted enhancement (dTE)). Tumors were then excised and western blot analysis performed.
Results: The dTE values decreased from day 0 to day +14 both in the treatment and control groups, but were lower in the former. The non-responder group had higher dTE levels at day 2 compared to responders (p = 0.019).
Conclusion: BR55 appears to be useful in the prediction of response to sorafenib in a xenograft model of HCC.
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http://dx.doi.org/10.1007/s11307-014-0764-x | DOI Listing |
Cell Mol Gastroenterol Hepatol
December 2024
Department of Medical Oncology, Cancer Center of Zhejiang University, Sir Run Run Shaw Hospital, Medical School of Zhejiang University, Hangzhou, Zhejiang 310020, China.
Unlabelled: Our study revealed that sorafenib (Sora) induced the formation of an immunosuppressive tumor microenvironment in hepatocellular carcinoma (HCC) by promoting the differentiation of regulatory T (Treg) cells through VEGFR/AKT/Foxo1 signaling, leading to compromised Sora efficacy. Importantly, combination treatment with an anti-CD25 antibody or the Foxo1 inhibitor AS1842856 inhibited Treg cell differentiation and increased the therapeutic efficacy of Sora in HCC.
Background & Aims: Sora is the first-line drug for advanced HCC.
Eur J Clin Pharmacol
December 2024
Center for Pharmacometrics, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, No.1200 Cailun Road, Shanghai, 201203, China.
Objectives: This study aimed to quantitatively evaluate the efficacy and safety of first-line systemic therapies for treating advanced hepatocellular carcinoma (aHCC).
Methods: The study included clinical trials of first-line systemic therapies for aHCC since the approval of sorafenib in 2007. Hazard function models were used to describe changes in overall survival (OS) and progression-free survival (PFS) over time.
J Med Chem
December 2024
Center for Natural Products Research, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China.
Transactivation response (TAR) RNA-binding protein 2 (TRBP) plays a critical role in microRNA (miRNA) biosynthesis, with aberrant expression linked to various cancers. Previously, we identified , a phenyloxazole derivative that disrupts the TRBP-Dicer interaction in hepatocellular carcinoma (HCC). In this study, we optimized this scaffold and substituent, leading to the discovery of , a 2-phenylthiazole-5-carboxylic acid derivative with nanomolar inhibitory activity (EC = 0.
View Article and Find Full Text PDFJHEP Rep
January 2025
Hepatitis Viruses and Pathobiology of Chronic Liver Diseases - LabEx DEVweCAN, Inserm U1052, Cancer Research Centre of Lyon - Hepatology Institute of Lyon F - IHU EVEREST, University of Lyon 1, ISPB, France, CNRS UMR5286, Centre Léon, Lyon, France.
Background & Aims: Owing to unexplained interpatient variation and treatment failure in hepatocellular carcinoma (HCC), novel therapeutic approaches remain an urgent clinical need. Hepatic neurons, belonging to the autonomic nervous system (ANS), mediate liver/whole body crosstalk. Pathological innervation of the ANS has been identified in cancer, nurturing tumor stroma and conferring stronger carcinogenic properties.
View Article and Find Full Text PDFFront Immunol
December 2024
Department of Hepatobiliary Surgery, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, ;China.
Background: Hepatocellular carcinoma (HCC) is a highly heterogeneous tumor, and the development of accurate predictive models for prognosis and drug sensitivity remains challenging.
Methods: We integrated laboratory data and public cohorts to conduct a multi-omics analysis of HCC, which included bulk RNA sequencing, proteomic analysis, single-cell RNA sequencing (scRNA-seq), spatial transcriptomics sequencing (ST-seq), and genome sequencing. We constructed a tumor purity (TP) and tumor microenvironment (TME) prognostic risk model.
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