98%
921
2 minutes
20
Unlabelled: Colorectal cancer (CRC) remains a significant clinical challenge, with a 5-year survival rate of 10%. Over half of all CRCs harbor mutations in the KRAS gene, leading to poor response to standard therapy. This underscores the crucial need for novel therapeutics targeting KRAS and overcoming the growing barrier of resistance. To address these critical challenges, we conducted a high-throughput screen to identify small molecules that synergize with KRAS inhibitor MRTX1133 against CRC. Through screening a 2,652 kinase inhibitor library, we discovered that Osimertinib and its analogs strongly synergize with MRTX1133 against both parental and MRTX1133-resistant cells. The top compound from the screen, NT-1, is a chemical analog of Osimertinib. NT-1 strongly synergized with MRTX1133 to suppress EGFR/MAPK signaling and induce apoptosis in an MRTX1133-resistant patient-derived organoid model of CRC. We present novel small molecule combinations with the potential to overcome the limitations of MRTX1133 with direct clinical translational applications.
One Sentence Summary: High throughput screening and validation in colon cancer PDOs identifies novel KRAS inhibitor combinations with potential for clinical translation.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12236777 | PMC |
http://dx.doi.org/10.1101/2025.06.27.662039 | DOI Listing |
Genes Genomics
September 2025
Department of Clinical Laboratory, The First Affiliated Hospital of Guilin Medical University, Le Qun Road 15, Guilin, 541001, Guangxi, China.
Background: Lung cancer (LC) is the leading cause of cancer-related deaths globally. Genetic variants in mismatch repair (MMR) genes, such as MutS homolog 2 (MSH2), MutS homolog 6 (MSH6) and MutL homolog 1 (MLH1), may influence individual susceptibility and clinical outcomes in LC.
Objective: This study investigated the associations of genetic polymorphisms in MSH2, MSH6, and MLH1 with susceptibility and survival outcomes in lung cancer patients in the Guangxi Zhuang population.
Mol Divers
September 2025
Department of Biotechnology, National Institute of Technology Raipur, Raipur, Chhattisgarh, 492001, India.
Traditional drug discovery methods like high-throughput screening and molecular docking are slow and costly. This study introduces a machine learning framework to predict bioactivity (pIC₅₀) and identify key molecular properties and structural features for targeting Trypanothione reductase (TR), Protein kinase C theta (PKC-θ), and Cannabinoid receptor 1 (CB1) using data from the ChEMBL database. Molecular fingerprints, generated via PaDEL-Descriptor and RDKit, encoded structural features as binary vectors.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
State Key Laboratory of Fine Chemicals, Frontiers Science Center for Smart Materials Oriented Chemical Engineering, Department of Pharmaceutical Sciences, Institute of Chemical Process Systems Engineering, School of Chemical Engineering, Dalian University of Technology, Dalian 116024, China.
Organometallic catalysis lies at the heart of numerous industrial processes that produce bulk and fine chemicals. The search for transition states and screening for organic ligands are vital in designing highly active organometallic catalysts with efficient reaction kinetics. However, identifying accurate transition states necessitates computationally intensive quantum chemistry calculations.
View Article and Find Full Text PDFJ Virol
September 2025
Genome Regulation and Cell Signaling, Ellen and Ronald Caplan Cancer Center, The Wistar Institute, Philadelphia, Pennsylvania, USA.
Unlabelled: Adenoviruses are double-stranded DNA viruses widely used as platforms for vaccines, oncolytics, and gene delivery. However, tools for studying adenoviral gene expression in real time during infection remain limited. Here, we describe a set of fluorescent and bioluminescent reporter viruses built using the modular AdenoBuilder reverse genetics system and informed by high-resolution maps of Ad5 transcription.
View Article and Find Full Text PDFmSystems
September 2025
Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
A significant challenge in the field of microbiology is the functional annotation of novel genes from microbiomes. The increasing pace of sequencing technology development has made solving this challenge in a high-throughput manner even more important. Functional metagenomics offers a sequence-naive and cultivation-independent solution.
View Article and Find Full Text PDF