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RNA-sequencing of gastric cancer PDX mice model after treated with CUS

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP496766
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资源简介:
The interaction between cancer and depressive disorder remains unclear. In this study, we obtained patient data from TCGA and MDD-related (Major Depressive Disorder) genes from the GEO database and the sequencing data of the PDX model with chronic unpredictable stress (CUS). Molecular subtypes and a prognostic signature were generated based on the MDD-related genes obtained by differential expression analysis. According to our analysis, the gene signature was a promising biomarker in distinguishing the prognosis, the molecular or immune characteristics, and the depressive risk, as well as the therapy candidates for gastric adenocarcinoma patients. Overall design: To investigate the impact of depression on the expression of gastric cancer, we implanted surgical tissue fragments (obtained from a 77-year-old female gastric adenocarcinoma patient at Zhongnan Hospital of Wuhan University) into female NOD-SCID mice to establish a patient-derived xenograft (PDX) model. After three successive transplantations, the xenografts were isolated and implanted into the right axilla of BALB-c/nu female mice. Chronic unpredictable stress (CUS) was then applied to the PDX model for three weeks. Subsequently, gene expression profiling analysis was performed using data obtained from RNA-seq of three tumor tissues from PDX exposed to CUS and three tumor tissues from PDX not exposed to CUS.
创建时间:
2024-07-20
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