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Identification of Predictive Factors in Advanced Pancreatic Cancer Through Extracellular Vesicle Analysis. Identification of Predictive Factors in Advanced Pancreatic Cancer Through Extracellular Vesicle Analysis

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NIAID Data Ecosystem2026-03-14 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA880576
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The goal of this study is to find a molecular signature that can predict response or resistance to Gemcitabine + Nab-paclitaxel therapy in pancreatic cancer (PC), to aid treatment selection for each patient. To this end, we analyzed blood-derived extracellular vesicles (EV). Overall design: EV analysis was performed on a cohort of 21 patients with PC (metastatic, locally advanced) (PCp). Samples were collected prior to first-line treatment (Gemcitabine + Nab-paclitaxel). EVs were isolated from plasma by SEC. Then we analyzed the EV RNA cargo through RNA Seq technology.
创建时间:
2022-09-14
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