A novel model incorporating chromatin regulatory factors for risk stratification, prognosis prediction, and characterization of the microenvironment in Wilms tumor.

BACKGROUND: Wilms tumor, also known as nephroblastoma, a pediatric most-frequent malignant-kidney tumor, may be regulated and influenced by transcriptional and epigenetic mechanisms. Chromatin regulatory factors (CRs) play key roles in epigenetic regulation. The present study aimed to explore the involvement of CRs in the development of nephroblastoma. METHODS: RNA-sequencing and clinical information of nephroblastoma samples were obtained by downloading data from the TARGET database. The Limma package was utilized to perform differential expression analysis of genes (DEGs) between the tumor group and the control group. A Venn map was used for intersection of differential genes and CRs and to perform Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis of DEGs using the clusterProfiler package. LASSO and Cox analyses were used to construct CR-related risk models and were evaluated based on clinical parameters. A receiver operating characteristic curve was employed to assess the diagnostic performance of risk model. Furthermore, we used a single-sample gene set enrichment analysis algorithm for immune cell infiltration analysis. Finally, to confirm the transcriptome expression of pivotal genes in human nephroblastoma cell lines, a quantitative real-time PCR was employed. RESULTS: Fifteen key CRs were obtained through analysis in nephroblastoma and then the risk model based on 13 important CRs was constructed using the transcriptome data of nephroblastoma. Using the risk model, pediatric nephroblastoma patients were stratified into high- and low-risk groups based on their individual risk scores. The risk score of CRs can predict adverse outcomes in pediatric nephroblastoma, and this gene cluster is closely related to various immunity characteristics of nephroblastoma. Moreover, the nephroblastoma cell line exhibited higher expression levels of prognostic genes (VRK1, ARNTL, RIT1, PRDM6, and TSPY1) compared to the HEK293 T cell line. CONCLUSIONS: The risk characteristics derived from CRs have tremendous significance in predicting prognosis and guiding clinical classification and intervention strategies for pediatric nephroblastoma.

Improved methods for targeting epigenetic reader domains of acetylated and methylated lysine.

Responsible for interpreting histone post-translational modifications, epigenetic reader proteins have emerged as novel therapeutic targets for a wide range of diseases. Chemical probes have been critical in enabling target validation studies and have led to translational advances in cancer and inflammation-related pathologies. Here, we present the most recently reported probes of reader proteins that recognize acylated and methylated lysine. We will discuss challenges associated with achieving potent antagonism of reader domains and review ongoing efforts to overcome these hurdles, focusing on targeting strategies including the use of peptidomimetic ligands, allosteric modulators, and protein degraders.

Altered oncomodules underlie chromatin regulatory factors driver mutations.

Chromatin regulatory factors (CRFs), are known to be involved in tumorigenesis in several cancer types. Nevertheless, the molecular mechanisms through which driver alterations of CRFs cause tumorigenesis remain unknown. Here, we developed a CRFs Oncomodules Discovery approach, which mines several sources of cancer genomics and perturbaomics data. The approach prioritizes sets of genes significantly miss-regulated in primary tumors (oncomodules) bearing mutations of driver CRFs. We applied the approach to eleven TCGA tumor cohorts and uncovered oncomodules potentially associated to mutations of five driver CRFs in three cancer types. Our results revealed, for example, the potential involvement of the mTOR pathway in the development of tumors with loss-of-function mutations of MLL2 in head and neck squamous cell carcinomas. The experimental validation that MLL2 loss-of-function increases the sensitivity of cancer cell lines to mTOR inhibition lends further support to the validity of our approach. The potential oncogenic modules detected by our approach may guide experiments proposing ways to indirectly target driver mutations of CRFs.