Oncogene · 2023 · 19 citations · 49 references
MedicineOncologyPharmacologyApoptosisMolecular OncologyOncogenesCancer Cell SignalingOncogenic Signaling PathwaysTargeted Cancer TherapyBreast Cancer Molecular SubtypesCancer Cell Line ModelsCdk InhibitorsCyclin-dependent Kinase 9Cyclin-dependent Kinase InhibitorsTherapeutic Targeting Of MycTriple-negative Breast Cancer TherapyTumor Organoid Models
Abstract Targeted therapy for triple-negative breast cancers (TNBC) remains a clinical challenge due to tumour heterogeneity. Since TNBC have key features of transcriptionally addicted cancers, targeting transcription via regulators such as cyclin-dependent kinase 9 (CDK9) has potential as a therapeutic strategy. Herein, we preclinically tested a new selective CDK9 inhibitor (CDDD11-8) in TNBC using cell line, patient-derived organoid, and patient-derived explant models. In vitro, CDDD11-8 dose-dependently inhibited proliferation (IC 50 range: 281–734 nM), induced cell cycle arrest, and increased apoptosis of cell lines, which encompassed the three major molecular subtypes of TNBC. On target inhibition of CDK9 activity was demonstrated by reduced RNAPII phosphorylation at a CDK9 target peptide and down-regulation of the MYC and MCL1 oncogenes at the mRNA and protein levels in all cell line models. Drug induced RNAPII pausing was evident at gene promoters, with strongest pausing at MYC target genes. Growth of five distinct patient-derived organoid models was dose-dependently inhibited by CDDD11-8 (IC 50 range: 272–771 nM), including three derived from MYC amplified, chemo-resistant TNBC metastatic lesions. Orally administered CDDD11-8 also inhibited growth of mammary intraductal TNBC xenograft tumours with no overt toxicity in vivo (mice) or ex vivo (human breast tissues). In conclusion, our studies indicate that CDK9 is a viable therapeutic target in TNBC and that CDDD11-8, a novel selective CDK9 inhibitor, has efficacy in TNBC without apparent toxicity to normal tissues.
49
Fast gapped-read alignment with Bowtie 2
Ben Langmead, Steven L. Salzberg · Nature Methods · 2012 · 61.1K citations
Model-based Analysis of ChIP-Seq (MACS)
Yong Zhang, Tao Liu, Clifford A. Meyer et al. · Genome biology · 2008 · 19.9K citations · Full text
The Molecular Signatures Database Hallmark Gene Set Collection
Arthur Liberzon, Chet Birger, Helga Thorvaldsdóttir et al. · Cell Systems · 2015 · 14.5K citations · Full text
deepTools2: a next generation web server for deep-sequencing data analysis
Fidel Ramírez, Devon Ryan, Björn Grüning et al. · Nucleic Acids Research · 2016 · 9K citations · Full text
Gene ontology analysis for RNA-seq: accounting for selection bias
Matthew D. Young, Matthew J. Wakefield, Gordon K. Smyth et al. · Genome biology · 2010 · 7.8K citations · Full text