Project description:We performed microRNA expression profiling in a series of fresh-frozen neoadjuvantly imatinib-treated and non-treated gastrointestinal stromal tumors (GIST), using a microarray approach. Significant differentially expressed microRNAs among imatinib-treated and non-treated groups were identified using SAM analysis.
Project description:We performed microRNA expression profiling in a series of fresh-frozen neoadjuvantly imatinib-treated and non-treated gastrointestinal stromal tumors (GIST), using a microarray approach. Significant differentially expressed microRNAs among imatinib-treated and non-treated groups were identified using SAM analysis. Agilent microarray platform with probes matching 903 human microRNAs was used to determine miRNA expression profiles in 34 GISTs (19 imatinib-treated and 15 non-treated). Re-analysis of GSE45901 for 17 imatinib-treated GISTs. To validate the microarray platform, the expression levels of selected microRNAs were evaluated using qRT-PCR.
Project description:We performed miRNA expression profiling in a series of fresh-frozen neoadjuvantly imatinib treated gastrointestinal stromal tumors (GIST), using a microarray approach. Significant differentially expressed miRNAs among imatinib-resistant and imatinib-sensitive groups were identified using SAM analysis.
Project description:We performed miRNA expression profiling in a series of fresh-frozen neoadjuvantly imatinib treated gastrointestinal stromal tumors (GIST), using a microarray approach. Significant differentially expressed miRNAs among imatinib-resistant and imatinib-sensitive groups were identified using SAM analysis. Agilent microarray platform with probes matching 903 human miRNAs was used to determine miRNA expression profiles in 17 GISTs (imatinib-sensitive and 7 imatinib-resistant). To validate the microarray platform, the expression levels of selected miRNAs were evaluated using qRT-PCR.
Project description:The heterogeneous nature of tumors presents a considerable obstacle in addressing imatinib resistance in advanced cases of gastrointestinal stromal tumors (GIST). To address this issue, we conducted single-cell RNA-sequencing in primary tumors as well as peritoneal and liver metastases from patients diagnosed with locally advanced or advanced GIST. Single-cell transcriptomic signatures of tumor microenvironment (TME) were analyzed. This analysis revealed unique tumor evolutionary patterns, transcriptome features, dynamic cell-state changes, and different metabolic reprogramming.
