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Heilbrun, E. E.

Publications and source records attributed to Heilbrun, E. E..

2 recordsLinked to original sources

A Novel Cisplatin-Based Prodrug Inhibits Lysine Deacetylases, Suppresses Nucleotide Excision Repair, and Overcomes Resistance

Cisplatin [cis-diamminedichloroplatinum(II)] is a widely used chemotherapeutic agent that induces cytotoxicity primarily through DNA damage, but drug resistance severely limits its efficacy and use. Cisplatin resistance is complex and multifactorial, involving DNA repair via nucleotide excision repair (NER), and overexpression of lysine deacetylases (KDACs), which reduce chromatin accessibility and alter transcription regulation. The combination of cisplatin and KDAC inhibitors has shown promise in improving treatment efficacy. This improved efficacy has been attributed to increased drug sensitivity due to higher chromatin accessibility, however, this hypothesis has not been validated. In this study, we synthesized a novel Pt(IV) derivative, cct-[Pt(NH3)2Cl2(VPA)(PhB)] (cPVP), which combines cisplatin and two KDAC inhibitors, phenyl butyrate and valproic acid. This triple-action prodrug enabled the simultaneous targeting of multiple cancer-related pathways. Compared to cisplatin, cPVP exhibited significantly enhanced damage formation and cytotoxicity. High-resolution mapping of cisplatin damage and repair, however, does not attribute the enhanced damage sensitivity to chromatin accessibility, but rather to increased drug uptake and inhibition of nucleotide excision repair. Moreover, cPVP treatment increased survival in a mouse mesothelioma model, and prevented the development of resistance to both cisplatin and itself in cancer cells. Our findings shed new light on the effect of KDAC inhibition on cisplatin treatment, and suggest that cPVP could serve as a promising alternative to cisplatin in the clinic.

molecular biology↗

GENI: a web server to identify gene set enrichments in tumor samples

The Cancer Genome Atlas (TCGA) and other projects provide informative tumor-associated genomic data for the broad research community. Hence, several useful web-based tools have been generated to ease non-expert users with the analysis and characterization of a specific gene behavior in selected tumors. However, none of the existing tools offer the user the means to evaluate the expression profile of a given gene in the context of the whole transcriptome. Currently, such analyses require prior bioinformatic knowledge and expertise. Therefore, we developed GENI (Gene ENrichment Identifier) as a fast, user-friendly tool to analyze the TCGA expression data for gene set enrichments. GENI analyzes large-scale tumor-associated gene expression datasets and evaluates biological relevance, thus offering researchers a simplified means to analyze cancer patient-derived data. Availability and implementationGENI is a freely available fast web-based tool developed using the R programming language. It is accessible via the URL: https://yoavshaul-lab.shinyapps.io/gsea-geni/. The complete script can be found at https://github.com/ArataHayashi/GENI-Gene-ENrichment-Identifier.

bioinformatics↗