Loss of Ezh2 function remodels the DNA replication initiation landscape

Chromatin's Influence on Pre-Replication Complex Assembly and Function

In all eukaryotes, the initiation of DNA replication requires a stepwise assembly of factors onto the origins of DNA replication. This is pioneered by the Origin Recognition Complex, which recruits Cdc6. Together, they bring Cdt1, which shepherds MCM2-7 to form the OCCM complex. Sequentially, a second Cdt1-bound hexamer of MCM2-7 is recruited by ORC-Cdc6 to form an MCM double hexamer, which forms a part of the pre-RC. Although the mechanism of ORC binding to DNA varies across eukaryotes, how ORC is recruited to replication origins in human cells remains an area of intense investigation. This review discusses how the chromatin environment influences pre-RC assembly, function, and, eventually, origin activity.

Dual target PARP1/EZH2 inhibitors inducing excessive autophagy and producing synthetic lethality for triple-negative breast cancer therapy

Currently available PARP inhibitors are mainly used for the treatment of BRCA-mutated triple-negative breast cancer (TNBC), with a narrow application range of approximately 15% of patients. Recent studies have shown that EZH2 inhibitors have an obvious effect on breast cancer xenograft models and can promote the sensitivity of ovarian cancer cells to PARP inhibitors. Here, a series of new dual-target PARP1/EZH2 inhibitors for wild-BRCA type TNBC were designed and synthesized. SAR studies helped us identify compound 12e, encoded KWLX-12e, with good inhibitory activity against PARP1 (IC50 = 6.89 nM) and EZH2 (IC50 = 27.34 nM). Meanwhile, KWLX-12e showed an optimal cytotoxicity against MDA-MB-231 cells (IC50 = 2.84 μM) and BT-549 cells (IC50 = 0.91 μM), with no toxicity on normal breast cell lines. KWLX-12e also exhibited good antitumor activity with the TGI value of 75.94%, more effective than Niraparib plus GSK126 (TGI = 57.24%). Mechanistic studies showed that KWLX-12e achieved synthetic lethality indirectly by inhibiting EZH2 to increase the sensitivity to PARP1, and induced cell death by regulating excessive autophagy. KWLX-12e is expected to be a potential candidate for the treatment of TNBC.

Transcriptomic Maps of Colorectal Liver Metastasis: Machine Learning of Gene Activation Patterns and Epigenetic Trajectories in Support of Precision Medicine

The molecular mechanisms of the liver metastasis of colorectal cancer (CRLM) remain poorly understood. Here, we applied machine learning and bioinformatics trajectory inference to analyze a gene expression dataset of CRLM. We studied the co-regulation patterns at the gene level, the potential paths of tumor development, their functional context, and their prognostic relevance. Our analysis confirmed the subtyping of five liver metastasis subtypes (LMS). We provide gene-marker signatures for each LMS, and a comprehensive functional characterization that considers both the hallmarks of cancer and the tumor microenvironment. The ordering of CRLMs along a pseudotime-tree revealed a continuous shift in expression programs, suggesting a developmental relationship between the subtypes. Notably, trajectory inference and personalized analysis discovered a range of epigenetic states that shape and guide metastasis progression. By constructing prognostic maps that divided the expression landscape into regions associated with favorable and unfavorable prognoses, we derived a prognostic expression score. This was associated with critical processes such as epithelial-mesenchymal transition, treatment resistance, and immune evasion. These factors were associated with responses to neoadjuvant treatment and the formation of an immuno-suppressive, mesenchymal state. Our machine learning-based molecular profiling provides an in-depth characterization of CRLM heterogeneity with possible implications for treatment and personalized diagnostics.