Project description:We obtained small cell lung cancer specimens and normal lung specimens from patients who died of drug-resistant SCLC. The small lung cancer specimens include primary lesions and metastatic lesions. Next generation sequencing was performed to assess the expression of miRNA in drug-resistant small cell lung cancer.
Project description:In the treatment of non-small cell lung cancer (NSCLC) with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs), the emergence of acquired resistance remains a significant challenge. Elucidating the underlying mechanisms of resistance is crucial for developing novel strategies to overcome or delay therapeutic escape. To this end, this study aimed to identify key drivers of EGFR-TKIs resistance and explore actionable targets for intervention. We investigated resistance mechanisms by integrating CRISPR/Cas9-based genome-wide screening with tandem mass tag (TMT) proteomic analysis, and virtually screened bioactive small molecule libraries to identify compounds capable of restoring EGFR-TKIs sensitivity. The multi-omics approach revealed that CCT2 is a critical mediator of resistance to third-generation EGFR-TKIs in lung cancer, with higher expression of CCT2 observed in resistant cells compared to sensitive cells. Mechanistically, CCT2 recruits tripartite motif-containing protein 28 (TRIM28) to catalyze SUMO2 modification of thioredoxin-related transmembrane protein 1 (TMX1), inhibiting its ubiquitination and enhancing protein stability. This post-translational modification (PTM) promotes TMX1-dependent reactive oxygen species (ROS) clearance, thereby conferring resistance. Importantly, pharmacological inhibition with the compound HY-10127, identified through virtual screening, effectively restored EGFR-TKIs sensitivity in resistant cell lines and delayed the development of resistance in xenograft models. The findings establish the CCT2/TRIM28/TMX1/ROS axis as a novel resistance mechanism in EGFR-mutated lung cancer, and targeting this pathway with HY-10127 represents a promising strategy to overcome resistance to third-generation EGFR-TKIs, providing preclinical rationale for clinical translation. These discoveries advance our understanding of molecular resistance mechanisms and offer potential therapeutic targets for improving lung cancer prognosis.
Project description:Non-small cell lung cancer (NSCLC) death rates exceed the next 3 prevalent cancers combined; however, most NSCLC tumors lack actionable mutations. Recent studies of NSCLC and other cancers revealed profound proteome remodelling with prognostic impact that is not fully predicted by DNA or RNA analyses. These revelations portend proteome-based cancer classification and treatment. This will require model systems that recapitulate tumor proteomes and phenotypes. A subset (~35%) of the most aggressive NSCLC can form a patient-derived xenograft (PDX). We generated 137 PDX models of aggressive NSCLC, which represent the histological, genome, transcriptome, and DNA methylation features and proteome remodelling of primary NSCLC. The models indicate 3 lung adenocarcinoma and 2 squamous cell carcinoma proteotypes that are associated with different patient outcomes, protein-phosphotyrosine profiles, candidate targets, and in adenocarcinoma, distinct stromal immune features. The PDX resource will foster proteome-directed stratification and development of new treatments for aggressive NSCLC.
Project description:Non-small cell lung cancer (NSCLC) death rates exceed the next 3 prevalent cancers combined; however, most NSCLC tumors lack actionable mutations. Recent studies of NSCLC and other cancers revealed profound proteome remodelling with prognostic impact that is not fully predicted by DNA or RNA analyses. These revelations portend proteome-based cancer classification and treatment. This will require model systems that recapitulate tumor proteomes and phenotypes. A subset (~35%) of the most aggressive NSCLC can form a patient-derived xenograft (PDX). We generated 137 PDX models of aggressive NSCLC, which represent the histological, genome, transcriptome, and DNA methylation features and proteome remodelling of primary NSCLC. The models indicate 3 lung adenocarcinoma and 2 squamous cell carcinoma proteotypes that are associated with different patient outcomes, protein-phosphotyrosine profiles, candidate targets, and in adenocarcinoma, distinct stromal immune features. The PDX resource will foster proteome-directed stratification and development of new treatments for aggressive NSCLC.
Project description:Lung cancer is the leading cause of cancer-related death worldwide, and non-small cell lung cancer (NSCLC) accounts for approximately 85% of lung cancers. Lymphatic metastasis serves as a predominant NSCLC metastatic route and an essential predictor of patient prognosis. Recently, circular RNA (circRNA) has emerged as critical mediator in various tumor initiation and progression. To identify essential circRNA that involves in the lymphatic metastasis of NSCLC, Next generation sequencing (NSG) was performed in 6 paired NSCLC tissues and normal adjacent tissues (NAT).
2023-12-01 | GSE235634 | GEO
Project description:The Landscape of Actionable Genomic Alterations by Next-Generation Sequencing in Tumor Tissue versus Cell-Free DNA in Chinese None Small Cell Lung Cancer
Project description:The expression profiles of miRNAs in drug-resistant non-small cell lung cancer (NSCLC) cell lines were identified via next generation sequencing and the common dysregulated miRNAs in drug-resistant NSCLC cell lines were picked up for further analysis.
Project description:Through multidimensional genomic/protein multiomics analysis and clinical information integration of cancer tissue samples, a prognostic method for lung cancer, including non-small cell lung cancer (NSCLC), is developed and applied to precision medical care after discovering new drug targets.
