Comprehensive profiling of lipid metabolic reprogramming expands precision medicine for hepatocellular carcinoma.

BACKGROUND AND AIMS: Liver hepatocellular carcinoma (HCC) is the second leading cause of cancer-related deaths worldwide. The heterogeneity of this malignancy is driven by a wide range of genetic alterations, leading to a lack of effective therapeutic options. In this study, we conducted a systematic multi-omics characterization of HCC to uncover its metabolic reprogramming signature. APPROACH AND RESULTS: Through a comprehensive analysis incorporating transcriptomic, metabolomic, and lipidomic investigations, we identified significant changes in metabolic pathways related to glucose flux, lipid oxidation and degradation, and de novo lipogenesis in HCC. The lipidomic analysis revealed abnormal alterations in glycerol-lipids, phosphatidylcholine (PC), and sphingolipid (SL) derivatives. Machine-learning techniques identified a panel of genes associated with lipid metabolism as common biomarkers for HCC across different etiologies. Our findings suggest that targeting phosphatidylcholine with saturated fatty acids (SFA-PC) and long-chain sphingolipid biosynthesis pathways, particularly by inhibiting Lysophosphatidylcholine Acyltransferase 1 (LPCAT1) and Ceramide Synthase 5 (CERS5) as potential therapeutic strategies for HCC in vivo and in vitro. Notably, our data revealed an oncogenic role of CERS5 in promoting tumor progression through lipophagy. CONCLUSION: In conclusion, our study elucidates the metabolic reprogramming gnature of lipid metabolism in HCC, identifies prognostic markers, and therapeutic targets, and highlights potential metabolism-related targets for therapeutic intervention in HCC.

Simultaneous Imaging and Flow-cytometry-based Detection of Multiple Fluorescent Senescence Markers in Therapy-induced Senescent Cancer Cells.

Chemotherapeutic drugs can induce irreparable DNA damage in cancer cells, leading to apoptosis or premature senescence. Unlike apoptotic cell death, senescence is a fundamentally different machinery restraining propagation of cancer cells. Decades of scientific studies have revealed the complex pathological effects of senescent cancer cells in tumors and microenvironments that modulate cancer cells and stromal cells. New evidence suggests that senescence is a potent prognostic factor during cancer treatment, and therefore rapid and accurate detection of senescent cells in cancer samples is essential. This paper presents a method to visualize and detect therapy-induced senescence (TIS) in cancer cells. Diffuse large B-cell lymphoma (DLBCL) cell lines were treated with mafosfamide (MAF) or daunorubicin (DN) and examined for the senescence marker, senescence-associated ß-galactosidase (SA-ß-gal), the DNA synthesis marker 5-ethynyl-2'-deoxyuridine (EdU), and the DNA damage marker gamma-H2AX (γH2AX). Flow cytometer imaging can help generate high-resolution single-cell images in a short period of time to simultaneously visualize and quantify the three markers in cancer cells.

Genotypical glioblastoma of the frontal lobe mimicking ganglioglioma: A case report and review of the literature.

This case of severe phenotype-genotype mismatch brain tumor morphologically mimicking benign ganglioglioma emphasizes the urgent need for advanced molecular profiling in brain tumor diagnosis in the era of sophisticated molecular profiling.

Diffuse midline glioma of the cervical spinal cord with H3 K27M genotype phenotypically mimicking anaplastic ganglioglioma: a case report and review of the literature.

Here, we report on a 28-year old male patient presenting with neck and shoulder pain, dysesthesia of all four limbs and hypesthesia of both hands, without motor deficits. Magnetic resonance imaging showed an intradural, intramedullary mass of the cervical spinal cord of 6.4 cm length and 1.7 cm diameter. The patient underwent surgical resection. Histological and immunohistochemical evaluation showed pleomorphic glial tumor cells, mitoses, calcifications, and atypical ganglioid cells compatible with the morphology of anaplastic ganglioglioma (WHO Grade III). Extensive molecular workup revealed H3F3A K27M, TERT C228T and PDGFRα Y849C mutations indicating poor prognosis. The H3F3A K27M mutation assigned the tumor to the molecular group of diffuse midline glioma (WHO Grade IV). Epigenome-wide methylation profiling confirmed the methylation class of diffuse midline glioma. Thus, this is a very rare case of malignant glioma with H3 K27M genotype phenotypically mimicking anaplastic ganglioglioma. This case emphasizes the importance of comprehensive morphological and molecular workup including methylome profiling for advanced patient care.