Amonafide Maleate

It has been well accumulated that G-quadruplex (G4-DNA) has great anticancer relevance, and various heterocyclic moieties have been synthesized and examined as potent G4-DNA binders with promising anticancer activity. Here, we have synthesized a series of naphthalimide-triazole-coumarin conjugates by substituting various amines and further examine their anticancer activity against 60 human cancer cell lines at 10 μM. One and five dose concentration results reveal low values of MG-MID GI₅₀ for compounds including 8a (3.18 μM), 8b (13.11 μM), 8e (7.68 μM) and 8f (1.75 μM). Further cell apoptosis manifests that all compounds can induce cell apoptosis in cancer cells by stabilizing the c-MYC promoter G-quadruplex. Therefore, the G-quadruplex-mediated pathway may be responsible for the apoptosis that these naphthalimide-coumarin compounds caused in cancer cells. Therefore, multispectroscopic techniques are employed to evaluate the binding of molecules with c-MYC G4-DNA where all four molecules readily bind to G4-DNA and stabilize it with a high binding constant, leading to inhibition of cancer cells and apoptosis of cancer cells. Binding studies toward ct-DNA disclose that these compounds do not interact with ds-DNA and thus selectively target G4-DNA to exert their anticancer activity. All the active compounds have greater affinity toward Human Serum Albumin (HSA) and can readily bind with HSA with a binding constant of 12 × 10⁴ M^-1 (8a), 13.0 × 10⁴ M^-1 (8b), 14.2 × 10⁴ M^-1 (8e), 16.3 × 10⁴ M^-1 (8f). Thus, the results disclose that inhibition and killing of cancer cells by these derivatives feasibly occur due to their ability to interact with c-MYC G-quadruplex forming promoters and their high affinity toward HSA unfold potent anticancer agents and can be taken further for clinical trials.

Hepatocellular Carcinoma (HCC) is the most common type of primary liver cancer, accounting for the majority of liver cancer cases. Hepatocellular Carcinoma not only exhibits high heterogeneity but also possesses an immune-suppressive tumor microenvironment that promotes tumor evasion, posing substantial difficulties for efficient therapy. Our aim is to utilize single-cell RNA transcriptome data to investigate the dynamic changes in the tumor microenvironment during the malignant progression of HCC, the communication among immune cells, and the marker genes associated with patient prognosis.

We constructed expression matrices from open single-cell RNA transcriptome data (GSE149614) of HCC patients (representing stages I-IV), establishing single-cell RNA transcriptional atlases for different stages of HCC progression. For each stage, we conducted cell subgroup analysis to identify cell types at each stage. Horizontally, we explored the dynamic changes of the same cell type across different stages, performing trajectory analysis and prognosis analysis. Vertically, we investigated pairwise comparisons of different stages of HCC progression, probing the dynamic alterations in tumor microenvironment immune cell signaling pathways. Finally, potential drugs for the treatment of HCC were predicted based on relevant genes.

As the HCC advances towards increased malignancy, there is a shift in the predominant composition of the tumor microenvironment, with a decline in the dominance of hepatic cells. Tumor-infiltrating immune cells migrate and accumulate within the tumor microenvironment, where T cells and myeloid cells display distinct patterns of change. Genes associated with cancer-associated fibroblasts (CAFs) and T cells are correlated with adverse patient outcomes. In the late stages of HCC, the tumor microenvironment is infiltrated by more myeloid-derived suppressor cells (MDSCs), and a prognostic model constructed based on genes related to myeloid cells can predict patient outcomes. Additionally, in the analysis of transcription factors, YY1 and MYC are found to be highly expressed. Cell communication analysis among tumor-infiltrating immune cells reveals significant differences in the main signaling pathways at different stages of HCC progression. Finally, drug sensitivity analysis based on key genes identifies Acetalax, Allopurinol, and Amonafide as potential candidates for HCC treatment.