Transcription Factor Network Reveals New Treatments for Prostate Cancer Docetaxel Drug Resistance
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ABSTRACT:
PROVIDER: PRJNA629596 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11680115.fastq.gz | Fastqsanger.gz | |||
| SRR11680116.fastq.gz | Fastqsanger.gz | |||
| SRR11680117.fastq.gz | Fastqsanger.gz | |||
| SRR11680118.fastq.gz | Fastqsanger.gz | |||
| SRR11680119.fastq.gz | Fastqsanger.gz |
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Project description:Overcoming drug resistance is critical increasing the survival rate for prostate cancer (PCa). In this study, we modeled docetaxel resistance using two PCa cell lines, DU145 and PC3. We conducted both single cell and bulk RNA sequencing. We constructed a transcription factor (TF) network for the docetaxel sensitive and resistant variants for all cell lines and sequencing methods resulting in 8 networks. We identified shared edges and nodes that represent a shared TF network for PCa that modeled the changes after acquiring drug resistance. Using this shared TF network, we identified drivers of the resistant phenotype. Interestingly, the network constructed from the bulk sequencing dataset revealed different TF drivers of resistance compared with the network constructed from the single cells. We validated the results constructed from the single cells to demonstrate the validity of the single cell sequenced TF network. We targeted GABPA (only identified in the single cell constructed network) and successfully re-sensitized both cell lines to docetaxel treatment. Additionally, we conducted connectivity map analysis to identify potential drugs that disrupt the resistant networks. We identified trichostatin A as a potential combination treatment using the single cell sequenced network. Combination treatment of trichostatin A and docetaxel, both in vitro and in vivo PCa models decreased tumor growth. These results suggest by analyzing a population of resistant cells, identification of drivers and novel treatments is possible.
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Project description:Docetaxel and cabazitaxel are the chemotherapy agents used in castration-resistant prostate cancer. However, most patients eventually develop resistance to these treatments. The aim of the study was to identify key molecular genes and networks associated with taxanes resistance in 2 models of docetaxel-resistant and cabazitaxel-resistant castration-resistant prostate cancer cell lines.
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Project description:Docetaxel is the standard first line therapy for hormone-refractory prostate cancer patients. Here we generated models of Docetaxel resistance in prostate cancer cells to study the molecular pathways that drive the acquisition of resistance to this therapy. We used microarrays to detail the global program of gene expression underlying the acquisition of Docetaxel resistance in prostate cancer cells.
2012-10-02 | GSE36135 | GEO
Project description:Prostate cancer C4-2B cells were cultured in docetaxel in a dose-escalation manner. After nine months selection, cells were able to divide freely in 5 nM docetaxel, with a specific sets of genes been deregulated. We performed global gene expression analysis by cDNA microarrays to identify genes responsible for docetaxel resistance in TaxR cells. Docetaxel resistant TaxR cells were selected from C4-2B cells during long time docetaxel treatment. Genes responsible for docetaxel resistance were identified using C4-2B vs. TaxR RNA extraction and hybridization on Affymetrix microarrays.
2013-08-01 | E-GEOD-47040 | biostudies-arrayexpress
Project description:Prostate cancer C4-2B cells were cultured in docetaxel in a dose-escalation manner. After nine months selection, cells were able to divide freely in 5 nM docetaxel, with a specific sets of genes been deregulated. We performed global gene expression analysis by cDNA microarrays to identify genes responsible for docetaxel resistance in TaxR cells.
2013-08-01 | GSE47040 | GEO
Project description:Docetaxel is the standard first line therapy for hormone-refractory prostate cancer patients. Here we generated models of Docetaxel resistance in prostate cancer cells to study the molecular pathways that drive the acquisition of resistance to this therapy. We used microarrays to detail the global program of gene expression underlying the acquisition of Docetaxel resistance in prostate cancer cells. Parental Docetaxel-sensitive prostate cancer cell lines (DU145 and 22Rv1) and selected Docetaxel-resistant cells (DU145-DR and 22Rv1-DR) were harvested for RNA extraction and hybridization on Affymetrix microarrays. Samples were analyzed in triplicates in order to increase the resolution of expression profiles.
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Project description:Purpose: To determine whether docetaxel therapy of advanced prostate cancer can be improved by using docetaxel in combination with Aneustat (OMN54), a multivalent botanical drug candidate undergoing a Phase-I Clinical Trial, and to identify the molecular action of this drug combination. Experimental Design: Human metastatic, androgen-independent C4-2 prostate cancer cells and NOD-SCID mice bearing PTEN-deficient, metastatic and PSA-secreting, patient-derived subrenal capsule LTL-313H prostate cancer tissue xenografts were treated with docetaxel and Aneustat, either alone or in combination. Culture growth (at 48 hours) and xenograft size (at 3 weeks) were determined and animal health monitored. Xenografts were gene expression profiled using gene expression microarrays. Androgen receptor (AR) expression and AKT phosphorylation were examined. Results: Aneustat markedly inhibited C4-2 cell replication in a dose-dependent manner in vitro, reducing AR expression and AKT phosphorylation. Aneustat was not as effective as docetaxel in inhibiting LTL-313H xenograft growth. When combined, Aneustat and docetaxel markedly and synergistically enhanced anti-tumor activity without inducing major host toxicity, even leading to complete growth inhibition and tumor shrinkage not obtained with the single drugs. AR expression and AKT signalling in the xenografts were inhibited by docetaxel+Aneustat, but not by the single agents. Expression microarray analysis indicated that docetaxel+Aneustat led to expanded anticancer activity, in particular to targeting of cancer hallmarks that were not affected by the drugs on their own. Conclusion: Our findings, obtained with a clinically relevant prostate cancer model, suggest, for the first time, that docetaxel-based therapy of advanced human prostate cancer may be improved by combining docetaxel with Aneustat.
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Project description:Docetaxel-based chemotherapy is the standard first-line therapy in metastatic castration-resistant prostate cancer. However, most patients eventually develop resistance to this treatment. The aim of the study was to identify key molecular genes and networks associated with docetaxel resistance in 2 models of docetaxel-resistant castration-resistant prostate cancer cell lines.
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Project description:The majority of prostate cancer (PCa) patients treated with docetaxel develop resistance to it. In order to better understand the mechanism behind the acquisition of resistance, we conducted single cell total RNA sequencing (sctotal RNA-seq) of docetaxel sensitive and resistant variants of DU145 and PC3 PCa cell lines. Overall, sensitive and resistant cells clustered separately. However, for both cell lines we identified rare sensitive cells that clustered with the resistant cells indicating resistant cells pre-exist in the sensitive population. Differential gene expression analysis between resistant and sensitive cells revealed 182 differentially expressed genes common to both PCa cell lines. A subset of these genes gave a gene expression profile in the resistant-like sensitive cells similar to the resistant cells. Exploration for functional gene pathways identified 218 common pathways between the two cell lines. Protein ubiquitination was the most differentially regulated pathway and was enriched in the resistant cells. Transcriptional regulator analysis identified potential 321 regulators across both cell lines. One of the top regulators identified was nuclear protein 1 (NUPR1). In contrast to the single cell analysis, bulk analysis of the cells did not reveal NUPR1 as a promising candidate. Knockdown and overexpression of NUPR1 in the PCa cells demonstrated that NUPR1 confers docetaxel resistance in both cell lines. Collectively, these data demonstrate the utility of sctotal RNA-seq to identify regulators of drug resistance. Furthermore, NUPR1 was identified as a mediator of PCa drug resistance, which provides the rationale to explore NUPR1 and its target genes to for reversal of docetaxel resistance.
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Project description:Docetaxel-based chemotherapy is the standard first-line therapy in metastatic castration-resistant prostate cancer. However, most patients eventually develop resistance to this treatment. The aim of the study was to identify key molecular genes and networks associated with docetaxel resistance in 2 models of docetaxel-resistant castration-resistant prostate cancer cell lines. DU-145 and PC-3 cells were converted to docetaxel-resistant cells, DU-145R and PC-3R, respectively. Whole-genome arrays were used to compare global gene expression between these 4 cell lines. Arrays were performed by triplicate for each cell line.
2012-01-01 | E-GEOD-33455 | biostudies-arrayexpress