Analysis of fluphenazine for castration-resistant prostate cancer
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE125087 | GEO | 2022/01/08
REPOSITORIES: GEO
Similar Datasets
Project description:To investigate cabazitaxel (CBZ) resistance in prostate cancer, we examined the changes in global gene expression before and after development of acquired CBZ resistance. Functional annotation clustering (FAC) analysis of DAVID showed cell division (GO: 0051301) and mitotic nuclear division (GO: 0007067) were the most enhanced clusters in DU145CR compared with DU145.
2018-08-01 | GSE110107 | GEO
Project description:To investigate cabazitaxel (CBZ) resistance in prostate cancer, we examined the changes in global gene expression before and after development of acquired CBZ resistance. Functional annotation clustering (FAC) analysis of DAVID showed cell division (GO: 0051301) and mitotic nuclear division (GO: 0007067) were the most enhanced clusters in PC3CR compared with PC3.
2021-08-24 | GSE182619 | GEO
Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. Although initially hormone-deprovation therapy is effective to inhibit cancer progression, most of cancers relapse as castration-resistant prostate cancer (CRPC). Therefore, we examined the effect of AR interacting partner OCT1 in CRPC cells. In order to investigate the OCT1 function in CRPC cells, we performed gene expression in AR-positive CRPC cell line, 22Rv1, after siOCT1 treatment. We also treated cells with vehicle or dihydrotestosterone (DHT) to analyzed the effects of OCT1 on AR function.
2019-03-01 | GSE123517 | GEO
Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. Although initially hormone-deprovation therapy is effective to inhibit cancer progression, most of cancers relapse as castration-resistant prostate cancer (CRPC). RNA binding protein PSF is upregulated in CRPC tissues comparedd with hormone-sensitive prostate cancer. Therefore, we examined the effect of newly developed small molecules targeting PSF in CRPC cells. In order to investigate the effect of PSF inhibiton in CRPC cells, we performed gene expression analysis in AR-negative CRPC cell line, DU145. We treated cells with vehicle, No.10-3, or C-30, which are supposed to inhibit PSF function.
2024-09-01 | GSE243001 | GEO
Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. Although initially hormone-deprovation therapy is effective to inhibit cancer progression, most of cancers relapse as castration-resistant prostate cancer (CRPC). In this study, we examined the effect of OCT4 or NRF1 knockdown in CRPC cells. In order to investigate the OCT4 and NRF1 function in CRPC cells, we performed gene expression in AR-positive CRPC cell line, 22Rv1, AR-negative CRPC cell lines, PC3-CR (Cabazitaxel resistant), DU145, and DU145-CR, after siOCT4 (10 nM) or siNRF1 (10 nM) treatment. We also treated cells with vehicle, ribavirin (riba), or dihydrotestosterone (DHT) to analyzed the effects of thiese drug treatments.
2021-05-01 | GSE146656 | GEO
Project description:We analyzed the global gene expression pattern of Tregs between healthy donors and prostate cancer patients. We found that genes related to cell cycle, cellular proliferation, immune responses, hematological system development and function were differentially expressed in Tregs from prostate cancer patients. Total RNA samples of Tregs, isolated from peripheral blood, were obtained from three separate healthy donors and three metastatic castration-resistant prostate cancer patients. Global gene expression pattern was examined by performing GeneChip microarray hybridization. Genes differentially expressed between the two groups of donors were sorted and categorized based on their biological functions.
2013-03-05 | E-GEOD-38043 | biostudies-arrayexpress
Project description:The integration of diverse ‘omic’ datasets will increase our understanding of the key signaling pathways that drive disease. Here, we used clinical tissue cohorts corresponding to lethal metastatic castration resistant prostate cancer (CRPC) obtained at rapid autopsy to integrate mutational, transcriptomic, and phosphoproteomic datasets for pathway analysis. Using Tied Diffusion through Interacting Events (TieDIE), we integrated differentially expressed transcriptional master regulators, functionally mutated genes, and differentially ‘activated’ kinases in CRPC tissues to synthesize a robust signaling network consisting of pathways with known and novel gene interactions. For 6 individual CRPC patients for which we had transcriptomic and phosphoproteomic data we observed distinct pathway activation states for each patient profile. In one patient, the activated pathways were strikingly similar to a prostate cancer cell line, 22Rv1, providing us with a good pre-clinical model to test targeted, combination therapies. In all, synthesis of multiple ‘omic’ datasets revealed a plethora of pathway information suitable for targeted therapies in lethal prostate cancer.
2016-08-19 | PXD002286 | Pride
Project description:The integration of diverse ‘omic’ datasets will increase our understanding of the key signaling pathways that drive disease. Here, we used clinical tissue cohorts corresponding to lethal metastatic castration resistant prostate cancer (CRPC) obtained at rapid autopsy to integrate mutational, transcriptomic, and phosphoproteomic datasets for pathway analysis. Using Tied Diffusion through Interacting Events (TieDIE), we integrated differentially expressed transcriptional master regulators, functionally mutated genes, and differentially ‘activated’ kinases in CRPC tissues to synthesize a robust signaling network consisting of pathways with known and novel gene interactions. For 6 individual CRPC patients for which we had transcriptomic and phosphoproteomic data we observed distinct pathway activation states for each patient profile. In one patient, the activated pathways were strikingly similar to a prostate cancer cell line, 22Rv1, providing us with a good pre-clinical model to test targeted, combination therapies. In all, synthesis of multiple ‘omic’ datasets revealed a plethora of pathway information suitable for targeted therapies in lethal prostate cancer.
2017-03-29 | MSV000080776 | MassIVE
Project description:Gene expression data from Agilent-014850 4x44K human expression array for CRPC Prostate Cancer study with Xenograph data.
2011-12-31 | GSE33277 | GEO
Project description:Prostate cancer is the most common cancer in men and AR downstream signalings promote prostate cancer cell proliferation. Androgen-deprivation therapy is the first-line treatment strategy for advanced prostate cancer. However, many tumors develop to castration-resistant prostate cancer (CRPC) and relapse. Thus, analyzing key factors for development of CRPC is important. We found PSF functions as RNA binding protein and transcription factor to promote castration-resistant tumor growth. High expression of PSF in metastatic prostate cancer tissue indicates the clinical relevance. In order to investigate the PSF function in CRPC cells, we performed gene expression in CRPC model cells derived from AR-positive prostate cancer cell lines after siPSF treatment.
2017-12-24 | GSE100239 | GEO