The novel glycyrrhetinic acid-tetramethylpyrazine conjugate TOGA induces anti-hepatocarcinogenesis by inhibiting the effects of tumor-associated macrophages on tumor cells.

Hepatocellular carcinoma (HCC), with its high recurrence and metastasis rates, is a leading cause of cancer-related mortality, and available treatments include surgical resection and liver transplantation. TOGA is a novel conjugate combining 18ß-glycyrrhetinic acid (GA), an active component of licorice, and tetramethylpyrazine, an effective component of Chuanxiong, with a small-molecule amino acid. This study examined the anti-hepatoma effects of TOGA and its specific mechanisms of action. We found that TOGA significantly prevented tumor growth in both nude mice carrying liver cancer xenograftsand mice carrying orthotopic tumors with little toxicity. NanoString analysis screening illustrated that TOGA may exert its anti-tumor effects by targeting interleukin (IL)-1R receptor 1 (IL-1R1). Further, TOGA significantly prevented the invasion and migration of HepG2 cells induced by tumor-associated macrophages (TAMs) or IL-1ß, as confirmed by the reduced expression of the epithelial-mesenchymal transition (EMT)-related proteins Snail and Vimentin. Furthermore, IL-1ß-induced activation of the IL-1R1/IκB/IKK/NF-κB signaling pathway in HepG2 cells was proved to be inhibited by TOGA. Taken together, TOGA effectively prevents the support of TAMs from fueling tumorigenesis through a mechanism related to the NF-κB pathway, and it may be a promising GA-modified drug for the treatment of HCC.

The role of CXCL10 in prognosis of patients with colon cancer and tumor microenvironment remodeling.

BACKGROUNG: Tumor microenvironment (TME) has gradually emerged as an important research topic in the fight against cancer. The immune system is a major contributing factor in TME, and investigations have revealed that tumors are partially infiltrated with numerous immune cell subsets. METHOD: We obtained transcriptome RNA-seq data from the the Cancer Genome Atlas databases for 521 patients with colon adenocarcinoma (COAD). ESTIMATE algorithms are then used to estimate the fraction of stromal and immune cells in COAD samples. RESULT: A total of 1109 stromal-immune score-related differentially expressed genes were identified and used to generate a high-confidence protein-protein interaction network and univariate COX regression analysis. C-X-C motif chemokine 10 (CXCL10) was identified as the core gene by intersection analysis of data from protein-protein interaction network and univariate COX regression analysis. Then, for CXCL10, we performed gene set enrichment analysis, survival analysis and clinical analysis, and we used CIBERSORT algorithms to estimate the proportion of tumor-infiltrating immune cells in COAD samples. CONCLUSION: We discovered that CXCL10 levels could be effective for predicting the prognosis of COAD patients as well as a clue that the status of TME is transitioning from immunological to metabolic activity, which provided additional information for COAD therapies.