Unidentified
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB19474 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR676473_1.fastq.gz | Fastqsanger.gz | |||
| DRR676473_2.fastq.gz | Fastqsanger.gz | |||
| DRR676474_1.fastq.gz | Fastqsanger.gz | |||
| DRR676474_2.fastq.gz | Fastqsanger.gz | |||
| DRR676475_1.fastq.gz | Fastqsanger.gz |
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Project description:Prostate cancer discovery and translational research are hampered by a lack of preclinical models which accurately reproduce the biological heterogeneity observed in patients. Accordingly, we have established a bank of transplantable patient-derived prostate tumor xenograft lines, using subrenal capsule grafting of human tumor tissue into immuno-deficient mice. This panel includes the first lines generated from primary prostate cancer tissue, and also new lines from metastatic tissue. Critically, the lines retained salient features of the original patient tumors, including histopathology, clinical marker expression, chromosomal aberration and gene expression profiles. Furthermore, they span major histopathological and molecular subtypes of prostate cancer, capturing diverse inter- and intra-tumoral heterogeneity. Host castration led to the development of castrate-resistant tumors, including the first model of complete neuroendocrine transdifferentiation. This publicly-available resource provides novel tools to advance mechanistic understanding of disease progression and response to therapy, and delivers clinically-relevant model systems for evaluation of preclinical drug efficacy. 3 primary tumors and 21 xenograft tumors
2013-01-12 | E-GEOD-41188 | biostudies-arrayexpress
Project description:Prostate cancer discovery and translational research are hampered by a lack of preclinical models which accurately reproduce the biological heterogeneity observed in patients. Accordingly, we have established a bank of transplantable patient-derived prostate tumor xenograft lines, using subrenal capsule grafting of human tumor tissue into immuno-deficient mice. This panel includes the first lines generated from primary prostate cancer tissue, and also new lines from metastatic tissue. Critically, the lines retained salient features of the original patient tumors, including histopathology, clinical marker expression, chromosomal aberration and gene expression profiles. Furthermore, they span major histopathological and molecular subtypes of prostate cancer, capturing diverse inter- and intra-tumoral heterogeneity. Host castration led to the development of castrate-resistant tumors, including the first model of complete neuroendocrine transdifferentiation. This publicly-available resource provides novel tools to advance mechanistic understanding of disease progression and response to therapy, and delivers clinically-relevant model systems for evaluation of preclinical drug efficacy. 3 primary tumors and 22 xenograft tumors
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Project description:Mouse models have been developed to investigate colorectal cancer etiology and evaluate new anti-cancer therapies. While genetically engineered and carcinogen-induced mouse models have provided important information with regard to the mechanisms underlying the oncogenic process, xenograft models remain the standard for the evaluation of new chemotherapy and targeted drug treatments for clinical use. However, it remains unclear if drug efficacy data obtained from xenograft models translate into clinically-relevant treatment modalities. In this study, we have generated a panel of 28 patient-derived colorectal cancer explants (PDCCEs), an extension of our previous work, by direct transplantation of human colorectal cancer (CRC) tissues into NOD-SCID mice. A comprehensive histological and molecular evaluation of PDCCEs and their corresponding patient tumor demonstrates that PDCCEs maintain histological features and global biology through multiple passages. Furthermore, we demonstrate that in vivo sensitivity of PDCCEs to oxaliplatin can predict patient outcomes. Our findings suggest that PDCCEs maintain similarity to the patient tumor from which they are derived and can serve as a reliable preclinical model that can be incorporated into future strategies to optimize individual therapy for patients with CRC. 28 human primary colorectal and 37 mouse derived colorectal explant tumors
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Project description:Development of YOBMT (Your Own Blended Microbiome Therapeutics) in metabolic/immune disorders (KAP220133)
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Project description:Background and aims: The incidence of metabolic dysfunction-associated steatohepatitis (MASH) and associated liver fibrosis is rapidly increasing, while pharmacological treatment options remain limited. Despite great efforts in developing novel MASH therapeutics, many investigative therapeutics that reduced fibrosis in preclinical models ultimately lacked efficacy in clinical trials. Therefore, we explored the possibility to predict the efficacy of investigative therapeutics on fibrogenic drive in the early stages of disease development and before effects on pathology become evident. Methods: Ldlr-/-.Leiden mice were fed a high-fat diet (HFD) to induce obesity and MASH. Mice were subsequently treated for four weeks with various therapeutics with established efficacy (obeticholic acid) or lack of efficacy (cenicriviroc, pioglitazone) to study their anti-fibrotic potential. Next, expression of a fibrogenic gene signature was evaluated, which predicts profibrotic processes preceding histopathologic fibrosis. The predictions were validated in parallel with a long-term experiment reaching histological fibrosis endpoints. Results: Cenicriviroc and pioglitazone did not affect HFD-induced fibrosis signature, indicative of no effect of these treatments on active fibrosis processes. Consistently, in the long-term treatment study, both cenicriviroc and pioglitazone did not affect HFD-induced histologically measured fibrosis. In contrast, obeticholic acid improved the early fibrogenic gene signature indicating a less fibrotic state compared with untreated HFD controls. These early gene expression changes aligned with long-term histological fibrosis endpoints and clinical data on these investigative therapeutics. Conclusions: This study highlights the potential of using short-term studies and applying a fibrogenic gene signature as an early screening tool to investigate the efficacy of investigative drugs on MASH-associated fibrosis. This signature, which is based on the active fibrosis processes in humans, may allow rapid screening of therapeutics and their combinations in translational mouse models to save time and resources.
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