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Analysis of gene expression in sublines of DU145 human prostate cancer cells created through in vivo metastatic selection

ABSTRACT: DU145 human prostate cancer cells were injected into the prostate of nude mice and cells metastasizing to lymph node (LN1) grown and experiment repeated to make LN2-4. DU145 human prostate cancer cells were injected into the tail vein of nude mice and cells metastasizing to lung (ivLU1) grown and experiment repeated to make ivLU2-4.

ORGANISM(S): Homo sapiens

PROVIDER: GSE51755 | GEO | 2013/10/29

SECONDARY ACCESSION(S): PRJNA224959

REPOSITORIES: GEO

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Analysis of gene expression in sublines of DU145 human prostate cancer cells created through in vivo metastatic selection

Project description:DU145 human prostate cancer cells were injected into the prostate of nude mice and cells metastasizing to lymph node (LN1) grown and experiment repeated to make LN2-4. DU145 human prostate cancer cells were injected into the tail vein of nude mice and cells metastasizing to lung (ivLU1) grown and experiment repeated to make ivLU2-4. 8 groups representing individual cell lines

2013-10-29 | E-GEOD-51755 | biostudies-arrayexpress

MicroRNA expression in DU145 sublines metastatic to lymph nodes

Project description:Comparison of non-coding RNA profiling by array in sublines of DU145 human prostate cancer cell lines created by in vivo cycling Cell lines created by removal and growth of metastatic human DU145 tumor cells from mouse lymph node (metastasized from prostate xenograft) for LN cells and extracted from lung after intravenous injection (ivLU cells). Cell line numebr represented number of in vivo cycles of metastatic selection

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MicroRNA expression in DU145 sublines metastatic to lymph nodes

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Project description:Prostate cancer DU145 tumors were subcutaneously established in male nude mice. In nude mice, Zelnorm were orally administrated. Tumor volume and body weight were assessed (tumor volume=1/2 (length×width2)). Tumors were excised and weighted. Tumor samples were profiled by RNA-seq analysis. Respectively, to differentiate the gene expression originated from human (cancer cells) or mouse (tumor TME part), data were mapped against human (GRCh38) and mouse (GRCm38) genomes separately.

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Project description:By employing a global gene expression profiling, we performed analysis of the molecular pathways which are deregulated in prostate cancer cell lines DU145 and LNCaP grown under standard and glutamine deprived condition. Both oriignal cell lines and their radioresistant derivatives DU145-RR and LNCaP-RR were analyzed

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22Rv1 in vivo progression model

Project description:Purpose: Even in last stage of metastatic castration-resistant prostate cancer, androgen receptor (AR) signaling remains active.To derive high metastatic prostate cancer (PCa), we labeled AR-positive but castration-resistant 22Rv1 PCa cells with luciferase gene (22Rv1-Luc2) and these cells were orthotopically implanted in mouse prostate for spontaneous progression. Methods: 2 × 10^5 of luciferase-expressing 22Rv1 cells (22Rv1-Luc2) cells were implanted in the anterior prostate of nude mice. After 12-14 weeks, the host mice were necropsied and the metastases from lumbar lymph nodes and primary tumors were dissected under laminar flow. Tumor tissues were minced using sterile scalpels and further digested with Collagenase D for 1 h. The lymph node metastatic cancer cells, named 22Rv1-M1, were orthotopically reimplanted in nude mice. At 12 weeks, the secondary metastases were isolated in the lumbar lymph nodes and designated as 22Rv1-M2 cells. Suspension of 1 × 10^6 22Rv1-M2 cells in DPBS was injected into nude mice through the tail vein, and mice developed metastases (22Rv1-M3) after 6 week. This procedure was repeated once to attain the 22Rv1-M4. Results: 22Rv1-derived metastatic cell lines exhibit increased in vitro and in vivo invasion activity as the progression from 22Rv1 to M4. Transcriptomic analysis of genome-wide gene expression in the M4 tumors reveal the unique gene expression profile compared to 22Rv1 tumors. Conclusions: Transcriptomic data provide the gene network for decoding the mechanism of PCa metastasis.

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