Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

A Characterization of Osteoblastic and Osteolytic Proteins in Prostate Cancer Bone Metastases

ABSTRACT: Our goal was to determine whether previously identified and novel proteins are associated with the osteoblastic or osteolytic response in clinical specimens of PCa bone metastases. Custom Agilent 44K whole human genome expression oligonucleotide microarrays were used to profile 14 PCa metastases from 11 patients with highly osteoblastic and highly osteolytic bone reactions. Total RNA was isolated and amplified prior to hybridization against a common reference pool of prostate tumor cell lines.

ORGANISM(S): Homo sapiens

SUBMITTER: Ilsa Coleman

PROVIDER: E-GEOD-41619 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Characterization of osteoblastic and osteolytic proteins in prostate cancer bone metastases.

Larson Sandy R SR Zhang Xiaotun X Dumpit Ruth R Coleman Ilsa I Lakely Bryce B Roudier Martine M Higano Celestia S CS True Lawrence D LD Lange Paul H PH Montgomery Bruce B Corey Eva E Nelson Peter S PS Vessella Robert L RL Morrissey Colm C

The Prostate 20130117 9

<h4>Background</h4>Approximately 90% of patients who die of Prostate Cancer (PCa) have bone metastases, which promote a spectrum of osteoblastic, osteolytic or mixed bone responses. Numerous secreted proteins have been reported to promote osteoblastic or osteolytic bone responses. We determined whether previously identified and/or novel proteins were associated with the osteoblastic or osteolytic response in clinical specimens of PCa bone metastases.<h4>Methods</h4>Gene expression was analyzed o ...[more]

PMID: 23334979

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Project description:The ability to interrogate circulating tumor cells (CTC) and disseminated tumor cells (DTC) is restricted by the small number detected and isolated (typically <10). We wanted to determine if a commercially available technology could provide a transcriptomic profile of a single prostate cancer (PCa) cell. We clonally selected and cultured a single passage of cell cycle synchronized C4-2B PCa cells. Ten sets of single, 5-, or 10-cells were isolated using a micromanipulator under direct visualization with an inverted microscope. Additionally, we analyzed 10 individual DTC isolated from each of 2 patients with metastatic PCa. We have shown that a transcriptomic profile can be obtained from a single cell using commercially available technology. As expected, fewer amplified genes are detected from a single-cell sample than from pooled cell samples, but this method can be used to obtain a transcriptomic profile from DTC isolated from the bone marrow of patients with PCa. Custom Agilent 44K whole human genome expression oligonucleotide microarrays were used to profile clonally selected and cultured single passage of cell cycle synchronized C4-2B PCa cells isolated using a micromanipulator under direct visualization with an inverted microscope into ten sets of single, 5-, or 10-cells. Single disseminated tumor cells were isolated from bone marrow (BM) samples of two advanced prostate cancer patients. Essentially, a two-step selection process was employed, in which anti-CD45 and anti-CD61 conjugated to immunomagnetic beads were used for negative selection, and anti-HEA was used for positive selection. Cells were then fluorescently stained for BerEP4, counter stained with RPE anti-CD45, and individually selected (10 single cells each per patient) under fluorescent light using a micropipette system for further analysis. RNA was amplified using the WT-Oviation one-direct system and hybridization against a common reference pool of prostate tumor cell lines. Data from C42B cell data and data from single cells isolated from the bone marrow of patients were normalized and analyzed separately.

Project description:Advancing age is associated with substantial increases in the incidence rates of common diseases affecting the prostate including benign prostatic hyperplasia (BPH) and prostate carcinoma. However, to date, there is no established molecular explanation for the age-dependent increases in these pathologies. The prostate is comprised of a functional secretory epithelium supported by a spectrum of cell types and structural elements comprising the stroma. As reciprocal interactions between epithelium and stromal constituents are essential for normal organogenesis and serve to maintain normal functions, discordance within the stromal could permit or promote disease processes. In this study we sought to identify aging-associated alterations in the mouse prostate that could influence pathology. We quantitated transcript levels in microdissected periglandular stroma from young (4 month-old) and old (20-24 month-old) C57BL/6 mice, and identified a significant change in the expression of 1259 genes (p<0.05). These included increases in transcripts encoding genes associated with inflammation (e.g., Ccl8, Ccl12), genotoxic/ oxidative stress (e.g., Apod, Serpinb5) and paracrine-acting proteins (e.g., Cyr61). The expression of several collagen genes (e.g., Col1a1 and Col3a1) exhibited age associated declines. By immunofluorescence and electron microscopy we determined that the aged prostate contains an abundant disorganized collagen matrix and a significant increase in inflammatory infiltrates comprised of macrophages, T cells and, to a lesser extent, B cells. These findings demonstrated that during normal aging the prostate stroma exhibits phenotypic and molecular characteristics plausibly contributing to the striking age associated pathologies affecting the prostate through oxidative stress and inflammatory cell damage. Custom Agilent 44K whole mouse genome expression oligonucleotide microarrays as well as custom mouse cDNA microarrays were used to measure transcript levels in microdissected periglandular stroma from young (4 month-old) and old (20-24 month-old) C57BL/6 mice. All samples were laser-capture microdissected and total RNA isolated and amplified prior to hybridization against a reference pool of normal adult mouse tissues.

Dataset Information

A Characterization of Osteoblastic and Osteolytic Proteins in Prostate Cancer Bone Metastases

Publications

Characterization of osteoblastic and osteolytic proteins in prostate cancer bone metastases.

Similar Datasets

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