Dysregulated super-enhancer (SE) results in aberrant transcription that drives cancer initiation and progression. SEs have been demonstrated as novel promising diagnostic/prognostic biomarkers and therapeutic targets across multiple human cancers. Here, we sought to develop a novel prognostic signature derived from SE-associated genes for head and neck squamous cell carcinoma (HNSCC). SE was identified from H3K27ac ChIP-seq datasets in HNSCC cell lines by ROSE algorithm and SE-associated genes were further mapped and functionally annotated. A total number of 133 SE-associated genes with mRNA upregulation and prognostic significance was screened via differentially-expressed genes (DEGs) and Cox regression analyses. These candidates were subjected for prognostic model constructions by machine learning approaches using three independent HNSCC cohorts (TCGA-HNSC dataset as training cohort, GSE41613 and GSE42743 as validation cohorts). Among dozens of prognostic models, the random survival forest algorithm (RSF) stood out with the best performance as evidenced by the highest average concordance index (C-index). A prognostic nomogram integrating this SE-associated gene signature (SEAGS) plus tumor size demonstrated satisfactory predictive power and excellent calibration and discrimination. Moreover, WNT7A from SEARG was validated as a putative oncogene with transcriptional activation by SE to promote malignant phenotypes. Pharmacological disruption of SE functions by BRD4 or EP300 inhibitor significantly impaired tumor growth and diminished WNT7A expression in a HNSCC patient-derived xenograft model. Taken together, our results establish a novel, robust SE-derived prognostic model for HNSCC and suggest the translational potentials of SEs as promising therapeutic targets for HNSCC.

01 Jul 2024·Current Pharmaceutical Design

Discovery of an EP300 Inhibitor using Structure-based Virtual Screening and Bioactivity Evaluation

Article

Author: Pan, Dabo ; Wu, Mingkai ; Zhang, Yonghao ; Jin, Xiaojie ; Han, Minzhen ; Jiang, Dewen ; Huang, Yaxuan

Background:EP300 (E1A binding protein p300) played a significant role in serial diseases such as cancer, neurodegenerative disease. Therefore, it became a significant target.Methods:Targeting EP300 discovery of a novel drug to alleviate these diseases. In this paper, 17 candidate compounds were obtained using a structure-based virtual screening approach, 4449-0460, with an IC50 of 5.89 ± 2.08 uM, which was identified by the EP300 bioactivity test. 4449-0460 consisted of three rings. The middle benzene ring connected the 5-ethylideneimidazolidine-2,4-dione group and the 3-F-Phenylmethoxy group.Results:Furthermore, the interaction mechanism between 4449-0460 and EP300 was explored by combining molecular dynamics (MD) simulations and binding free energy calculation methods.Conclusion:The binding free energy of EP300 with 4449-0460 was -10.93 kcal/mol, and mainly came from the nonpolar energy term (ΔGnonpolar). Pro1074, Phe1075, Val1079, Leu1084, and Val1138 were the key residues in EP300/4449-0460 binding with more -1 kcal/mol energy contribution. 4449-0460 was a promising inhibitor targeting EP300, which had implications for the development of drugs for EP300-related diseases.

01 May 2024·Neurosurgical Focus

EP300 through upregulating the expression of vimentin to promote the progression of chordoma

Article

Author: Shi, Ying ; Huang, Jun ; Chen, Yuanbing ; Wen, Lingzhi ; Xie, Bin ; Tao, Yongguang ; Li, Hui

OBJECTIVEThere is a lack of effective drugs to treat the progression and recurrence of chordoma, which is widely resistant to treatment in chemotherapy. The authors investigated the functional and therapeutic relevance of the E1A-binding protein p300 (EP300) in chordoma.METHODSThe expression of EP300 and vimentin was examined in specimens from 9 patients with primary and recurrent chordoma with immunohistochemistry. The biological functions of EP300 were evaluated with Cell Counting Kit-8, clonogenic assays, and transwell assays. The effects of EP300 inhibitors (C646 and SGC-CBP30) on chordoma cell motility were assessed with these assays. The effect of the combination of EP300 inhibitors and cisplatin on chordoma cells was evaluated with clonogenic assays. Reverse transcription quantitative polymerase chain reaction and Western blot techniques were used to explore the potential mechanism of EP300 through upregulation of the expression of vimentin to promote the progression of chordoma.RESULTSImmunohistochemistry analysis revealed a positive correlation between elevated EP300 expression levels and recurrence. The upregulation of EP300 stimulated the growth of and increased the migratory and invasive capabilities of chordoma cells, along with upregulating vimentin expression and consequently impacting their invasive properties. Conversely, EP300 inhibitors decreased cell proliferation and downregulated vimentin. Furthermore, the combination of EP300 inhibition and cisplatin exhibited an enhanced anticancer effect on chordoma cells, indicating that EP300 may influence chordoma sensitivity to chemotherapy.CONCLUSIONSThese findings indicate that EP300 functions as an oncogene in chordoma. Targeting EP300 offers a novel approach to the development and clinical treatment of chordoma.

100 Deals associated with EP-300

R&D Status

10 top R&D records.

to view more data

Indication	Highest Phase	Country/Location	Organization	Date
Solid tumor	Preclinical	US	Esperance Pharmaceuticals, Inc.	-

Clinical Result

Indication

Phase

Evaluation

View All Results

Translational Medicine

Boost your research with our translational medicine data.

view full example data

Deal

Boost your decision using our deal data.

view full example data

Core Patent

Boost your research with our Core Patent data.

view full example data

Clinical Trial

Identify the latest clinical trials across global registries.

view full example data

Approval

Accelerate your research with the latest regulatory approval information.

view full example data

Regulation

Understand key drug designations in just a few clicks with Synapse.

view full example data

Chat with Hiro

Get started for free today!

Accelerate Strategic R&D decision making with Synapse, PatSnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.

Start your data trial now!

Synapse data is also accessible to external entities via APIs or data packages. Empower better decisions with the latest in pharmaceutical intelligence.

Bio

Bio Sequences Search & Analysis

Chemical

Chemical Structures Search & Analysis


No Data

EP-300

Overview

Basic Info

Related

R&D Status

Clinical Result

Translational Medicine

Deal

Core Patent

Clinical Trial

Approval

Regulation