Navigating colorectal cancer prognosis: A Treg-related signature discovered through single-cell and bulk transcriptomic approaches.

BACKGROUND: The significance of regulatory T cells (Tregs) in colorectal cancer is unclear. METHODS: The single-cell sequencing data for colorectal cancer, specifically GSE132465 and GSE188711, were retrieved from the GEO database. Simultaneously, bulk transcriptome data were obtained from the UCSC Xena website. To delve into the heterogeneity of Treg cells and identify key genes at the single-cell sequencing level, we employed dimensionality reduction techniques alongside clustering and conducted differential expression gene analysis. For the bulk transcriptome data, we utilized weighted co-expression network analysis to investigate critical gene modules. Additionally, we employed COX regression and Lasso regression methodologies to construct prognostic models, thereby assessing patient outcomes. To facilitate outcome evaluation, nomograms were constructed. The integration of these diverse approaches aims to comprehensively study colorectal cancer, encompassing single-cell heterogeneity, key gene identification, and prognosis modeling using both single-cell and bulk transcriptome data. Polymerase chain reaction (PCR) experiments are used to verify mRNA expression levels of key genes. The analysis software was R software (version 4.3.2). RESULTS: Through single-cell sequencing analysis and bulk transcriptome analysis, we constructed a prognostic model composed with Treg-associated signatures. The high-risk group demonstrated significantly worse prognosis compared with the low-risk group, highlighting the clinical relevance of our models. PCR confirmed that the key gene DEAH-box helicase 15 (DHX15) was significantly overexpressed in colorectal cancer. CONCLUSIONS: The prognostic models developed in this study offer a potential tool for risk assessment, guiding treatment decisions for colorectal cancer patients.

Discovery of benzamide derivatives containing urea moiety as soluble epoxide hydrolase inhibitors.

The elevation of epoxy-fatty acids through inhibition of soluble epoxide hydrolase (sEH) is efficient for the treatment of inflammatory and pain-related diseases. Herein, we reported the discovery of a series of benzamide derivatives containing urea moiety as sEH inhibitors. Intensive structural modifications led to the identification of compound A34 as a potent sEH inhibitor with good physicochemical properties. Molecular docking revealed an additional hydrogen-bonding interaction between the unique amide scaffold and Phe497, contributing to sEH inhibition potency enhancement. Compound A34 exhibited outstanding inhibitory activity against human sEH, with an IC50 value of 0.04 ± 0.01 nM and a Ki value of 0.2 ± 0.1 nM. It also showed moderate systemic drug exposure and oral bioavailability in vivo metabolism studies. In carrageenan-induced inflammatory pain rat model, compound A34 exhibited a better therapeutic effect compared to t-AUCB and Celecoxib. Metabolism studies in vivo together with an inflammatory pain evaluation suggest that A34 may be a viable lead compound for the development of highly potent sEH inhibitors.

Synthesis and biological evaluation of new series of benzamide derivatives containing urea moiety as sEH inhibitors.

The pharmacological inhibition of soluble epoxide hydrolase (sEH) was shown to reduce inflammation and pain. Herein, we described a series of newly synthesized sEH inhibitors with the trident-shaped skeleton. Intensive structural modifications led to the identification of compound B15 as a potent sEH inhibitor with an IC50 value of 0.03 ± 0.01 nM. Furthermore, compound B15 showed satisfactory metabolic stability in human liver microsomes with a half-time of 197 min. In carrageenan-induced inflammatory pain rat model, compound B15 exhibited a better therapeutic effect compared to t-AUCB and Celecoxib, which demonstrated the proof of potential as anti-inflammatory agents for pain relief.