Bromodomain-containing protein 4 (BRD4) and histone deacetylases (HDAC) are both attractive epigenetic targets in cancer and other chronic diseases. Based on the integrated fragment-based drug design, synthesis, and in vitro and in vivo evaluations, a series of novel thieno­[2,3-d]­pyrimidine-based hydroxamic acid derivatives are discovered as selective BRD4–HDAC dual inhibitors. Compound 17c is the most potent inhibitor for BRD4 and HDAC with IC50 values at nanomolar levels, as well as the expression level of c-Myc, and increases the acetylation of histone H3. Moreover, 17c presents inhibitory effects on the proliferation of colorectal carcinoma (CRC) cells via inducing autophagic cell death. It also has a good pharmacokinetic profile in rats and oral bioavailability of 40.5%. In the HCT-116 xenograft in vivo models, 17c displays potent inhibitory efficiency on tumor growth by inducing autophagic cell death and suppressing IL6–JAK–STAT signaling pathways. Our results suggest that the BRD4–HDAC dual inhibition might be an attractive therapeutic strategy for CRC.

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Idiopathic pulmonary fibrosis (IPF) is a kind of a chronic and fatal lung disease leading to progressive lung function decline. Although several RNA microarray studies on IPF patients have been reported, their results were merely specific to each study with distinct platforms or sample types. In the current study, an integrative transcriptome meta-analysis of IPF was performed to explore regulated pathways, based on four independent expression profiling microarrays of IPF datasets, including 73 samples from IPF tissues or lung fibroblast cells. The results suggested the discoidin domain receptor 1 (DDR1) and downstream c-Jun N-terminal kinases (JNK) pathway may play important roles in the progression of IPF. To our knowledge, discoidin domain receptor 1 (DDR1) is a kind of receptor tyrosine kinase (RTK) with a unique ability to bind both fibrillar and non-fibrillar collagens. Based on the crystallographic structures of DDR1, the combination of molecular dynamics simulation and a hybrid protocol of a virtual screening method, comprised of PBVS (multicomplex-pharmacophore based virtual screening) and DBVS (docking based virtual screening) methods were used for retrieving novel DDR1 inhibitors from the SPECS database. Twelve hit compounds were selected from the hit compounds and shifted to experimental validations, and the most potent compound was evaluated for its anti-IPF capacity on murine IPF models. Thus, these results may provide valuable information for further discovery of potential lead compounds for IPF therapy.

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