Early Response Monitoring Following Radiation Therapy by Using [18F]FDG and [11C]Acetate PET in Prostate Cancer Xenograft Model with Metabolomics Corroboration

Analysis of volatile organic compounds in exhaled breath after radiotherapy

Radiotherapy uses high-energy X-rays or other particles to destroy cancer cells and medical practitioners have used this approach extensively for cancer treatment (Hachadorian et al., 2020). However, it is accompanied by risks because it seriously harms normal cells while killing cancer cells. The side effects can lower cancer patients' quality of life and are very unpredictable due to individual differences (Bentzen, 2006). Therefore, it is essential to assess a patient's body damage after radiotherapy to formulate an individualized recovery treatment plan. Exhaled volatile organic compounds (VOCs) can be changed by radiotherapy and thus used for medical diagnosis (Vaks et al., 2012). During treatment, high-energy X-rays can induce apoptosis; meanwhile, cell membranes are damaged due to lipid peroxidation, converting unsaturated fatty acids into volatile metabolites (Losada-Barreiro and Bravo-Díaz, 2017). At the same time, radiotherapy oxidizes water, resulting in reactive oxygen species (ROS) that can increase the epithelial permeability of pulmonary alveoli, enabling the respiratory system to exhale volatile metabolites (Davidovich et al., 2013; Popa et al., 2020). These exhaled VOCs can be used to monitor body damage caused by radiotherapy.

SOX4 activates CXCL12 in hepatocellular carcinoma cells to modulate endothelial cell migration and angiogenesis in vivo

The overexpression of SOX4 in various kinds of cancer cells was associated with poor prognosis for patients. The role of SOX4 in angiogenesis and tumor microenvironment modulation was recently documented in breast cancer but remains unclear in hepatocellular carcinoma (HCC). In our study, the clinical relevance of SOX4 overexpression in HCC and its role in the tumor microenvironment were investigated. The overexpression of SOX4 (SOX4^high) in tumor lesions was associated with higher microvessel density (P = 0.012), tumor thrombosis formation (P = 0.012), distant metastasis (P < 0.001), and an independent prognostic factor for disease-free survival in HCC patients (P = 0.048). Endogenous SOX4 knockout in Hep3B cells by the CRISPR/cas9 system reduced the expression of CXCL12, which, in turn, attenuated chemotaxis in human umbilical vein endothelial cells, tube formation in vitro, reduced tumor growth, reticular fiber production, and angiogenesis in vivo in a xenograft mouse model. Treatment with an antagonist targeting CXCR4 (AMD3100), a receptor of CXCL12, inhibited chemotaxis and tube formation in endothelial cells in vitro. The CXCL12 promoter was activated by ectopic expression of a Flag-tagged SOX4 plasmid, endogenous SOX4 knockdown abolished promoter activity of CXCL12 as shown by luciferase assays, and an association with the CXCL12 promoter was identified via chromatin immunoprecipitation in HCC cells. In conclusion, SOX4 modulates the CXCL12 promoter in HCC cells. The secretory CXCL12, in turn, modulates CXCR4 in endothelial cells, reticular fibers to regulate the tumor microenvironment and modulate neovascularization, which might contribute to the distant metastasis of tumors.

Stable Isotopes for Tracing Mammalian-Cell Metabolism In Vivo

Metabolism is at the cornerstone of all cellular functions and mounting evidence of its deregulation in different diseases emphasizes the importance of a comprehensive understanding of metabolic regulation at the whole-organism level. Stable-isotope measurements are a powerful tool for probing cellular metabolism and, as a result, are increasingly used to study metabolism in in vivo settings. The additional complexity of in vivo metabolic measurements requires paying special attention to experimental design and data interpretation. Here, we review recent work where in vivo stable-isotope measurements have been used to address relevant biological questions within an in vivo context, summarize different experimental and data interpretation approaches and their limitations, and discuss future opportunities in the field.