Project description:To identify genes with the potential target of differentially expressed miRNA in metastatic prostate cancer, we have employed whole genome microarray expression profiling. Transplantable metastatic versus a non-metastatic prostate cancer xenograft line, both derived from one patient’s primary cancer, were developed via sub-renal capsule grafting of cancer tissue into NOD/SCID mice. The same RNA samples from both lines were also used for miRNA sequencing. Overlapped genes of predicted targets of differentially expressed miRNAs and differentially expressed in microarray platform showed potential markers of combination of miRNA and gene in metastatic prostate cancer. Gene expression in metastatic/non-metastatic prostate cancer was measured. Same total RNA samples were used for small RNA library construction for miRNA sequencing. This submission represents the gene expression component of the study.

2012-03-11 | E-GEOD-28029 | biostudies-arrayexpress

MicroRNAs Associated with Metastatic Prostate Cancer

2012-03-11 | GSE28029 | GEO

Prostate Cancer Genome Sequencing Project

Project description:Prostate Cancer Genome Sequencing Project

| PRJNA81143 | ENA

Transcription profiling by array of human benign prostate, primary and metastatic prostate cancer samples to reveal signatures of metastatic progression

Project description:An integrative analysis of this compendium of proteomic alterations and transcriptomic data was performed revealing only 48-64% concordance between protein and transcript levels. Importantly, differential proteomic alterations between metastatic and clinically localized prostate cancer that mapped concordantly to gene transcripts served as predictors of clinical outcome in prostate cancer as well as other solid tumors. Keywords: prostate cancer progression 13 individual benign prostate, primary and metastatic prostate cancer samples and 6 pooled samples from benign,primary or metastatic prostate cancer tissues.

2005-09-20 | E-GEOD-3325 | biostudies-arrayexpress

Molecular profiling of peripheral blood is associated with circulating tumor cells content and poor survival in metastatic castration-resistant prostate cancer

Project description:The enumeration of circulating tumor cells (CTCs) in peripheral blood correlates with clinical outcome in castration-resistant prostate cancer (CRPC). We analyzed the molecular profiling of peripheral blood from 43 metastatic CRPC patients with known CTC content in order to identify genes that may be related to prostate cancer progression. Global gene expression analysis identified the differential expression of 282 genes between samples with ?5 CTCs vs <5 CTCs, 58.6% of which were previously described as over-expressed in prostate cancer (18.9% in primary tumors and 56.1% in metastasis). Those genes were involved in survival functions such as metabolism, signal transduction, gene expression, and cell growth, death, and movement. The expression of selected genes was evaluated by quantitative RT-PCR. This analysis revealed a two-gene model (SELENBP1 and MMP9) with a high significant prognostic ability (HR 6; 95% CI 2.61 - 13.79; P<0.0001). The combination of the two-gene signature plus the CTCs count showed a higher prognostic ability than neither CTCs enumeration nor gene expression alone (P<0.05). This study shows a gene expression profile in PBMNC is associated with CTCs count and clinical outcome in metastatic CRPC, describing genes and pathways potentially associated with CRPC progression. The complete database comprised the expression measurements of 43 metastatic castration-resistant prostate cancer (CRPC) samples and their asociation with the number of circulating tumor cells (CTCs). Twenty of them have a number circulating tumor cells (CTCs) greater than 5.

2015-04-30 | E-GEOD-66532 | biostudies-arrayexpress

Count Me In: The Angiosarcoma Project

Project description:Count Me In: The Angiosarcoma Project

| PRJNA589670 | ENA

Count Me In: The Angiosarcoma Project

Project description:Count Me In: The Angiosarcoma Project

| PRJNA589671 | ENA