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Links from GEO DataSets

Items: 20

1.
Full record GDS1746

Primary epithelial cell cultures from prostate tumors

Analysis of epithelial cell cultures from prostate tumor explants. Results identify an epithelial-restricted transcription profile that can be integrated with tumor grade and clinical information with the aim of discriminating indolent and aggressive prostate tumors that are histologically similar.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 7 disease state, 2 protocol sets
Platform:
GPL96
Series:
GSE3868
30 Samples
Download data
DataSet
Accession:
GDS1746
ID:
1746
2.

Gene profiling of primary cultures from human prostate tumors

(Submitter supplied) The histopathological and molecular heterogeneity of prostate cancer and the limited availability of human tumor tissue make unraveling the mechanisms of prostate carcinogenesis a challenging task. Our goal was to develop an ex vivo model that could be reliably utilized to define a prognostic signature based on gene expression profiling of cell cultures that maintained the tumor phenotype. To this end, we derived epithelial cultures from tissue explanted from 59 patients undergoing radical prostatectomy or cistoprostatectomy because of Prostate Benign Hyperplasia/Prostate Cancer or Bladder Carcinoma. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS1746
Platform:
GPL96
30 Samples
Download data
Series
Accession:
GSE3868
ID:
200003868
3.

Low-Fat, Low-Glycemic Load Diet, Surgical Manipulation and Prostate Gene Expression

(Submitter supplied) Prostate Microarrays for two studies on Low-Fat, Low-Glycemic Load Diet intervention in prostate cancer and the effect of Surgical Manipulation on Prostate Gene Expression. Influence of Surgical Manipulation on Prostate Gene Expression: Implications for Molecular Correlates of Treatment Effects and Disease Prognosis "Measurements of tissue gene expression are increasingly used for disease stratification, clinical trial eligibility, and assessment of neoadjuvant therapy response. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL4766
36 Samples
Download data: GPR
Series
Accession:
GSE10028
ID:
200010028
4.

Mat-Lylu cell line compared to G cell line

(Submitter supplied) we analyzed the gene expression profiles of Mat-Lylu cell lines (in duplicate) compared to G cell lines (in duplicate) using Affymetrix tools and dChip software. The objective was to find metastasis-associated genes in prostate cancer, using this in vitro model. Keywords: cell line comparison
Organism:
Rattus norvegicus
Type:
Expression profiling by array
Platform:
GPL85
4 Samples
Download data: CEL
Series
Accession:
GSE7703
ID:
200007703
5.

Array CGH data of 64 prostate cancer specimens

(Submitter supplied) The dataset comprises array CGH data of 64 prostate cancer specimens performed on Stanford cDNA microarrays, to accompany the study of J Lapointe et al (2007). For each array, Channel 2 represents Cy5-labeled prostate genomic DNA, and Channel 1 Cy3-labeled normal male genomic DNA. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set, array CGH
Organism:
Homo sapiens
Type:
Genome variation profiling by array
Platforms:
GPL4640 GPL4639
64 Samples
Download data
Series
Accession:
GSE6469
ID:
200006469
6.

caArray_becic-00235: Gene expression alterations in prostate cancer predicting tumor aggression and preceding development of malignancy

(Submitter supplied) The incidence of prostate cancer is frequent, occurring in almost one-third of men older than 45 years. Only a fraction of the cases reach the stages displaying clinical significance. Despite the advances in our understanding of prostate carcinogenesis and disease progression, our knowledge of this disease is still fragmented. Identification of the genes and patterns of gene expression will provide a more cohesive picture of prostate cancer biology. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
4 related Platforms
444 Samples
Download data: CEL, CHP, TXT
Series
Accession:
GSE68555
ID:
200068555
7.

Expression Data from Normal and Prostate Tumor Tissues

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array
Datasets:
GDS2545 GDS2546 GDS2547
Platforms:
GPL93 GPL8300 GPL92
504 Samples
Download data: CEL
Series
Accession:
GSE6919
ID:
200006919
8.

Expression data from Normal Prostate Tissue Adjacent to Tumor

(Submitter supplied) Prostate cancer is characterized by heterogeneity in the clinical course that often does not to correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL93 GPL8300 GPL92
181 Samples
Download data: CEL
Series
Accession:
GSE6608
ID:
200006608
9.

Expression data from Primary Prostate Tumor

(Submitter supplied) Prostate cancer is characterized by heterogeneity in the clinical course that often does not to correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL8300 GPL93 GPL92
196 Samples
Download data: CEL
Series
Accession:
GSE6606
ID:
200006606
10.

Expression data from Normal Prostate Tissue free of any pathological alteration

(Submitter supplied) Prostate cancer is characterized by heterogeneity in the clinical course that often does not to correlate with morphologic features of the tumor. Metastasis reflects the most adverse outcome of prostate cancer, and to date there are no reliable morphologic features or serum biomarkers that can reliably predict which patients are at higher risk of developing metastatic disease. Understanding the differences in the biology of metastatic and organ confined primary tumors is essential for developing new prognostic markers and therapeutic targets. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL8300 GPL92 GPL93
52 Samples
Download data: CEL
Series
Accession:
GSE6604
ID:
200006604
11.
Full record GDS2547

Metastatic prostate cancer (HG-U95C)

Analysis of metastatic prostate tumors and primary prostate tumors. Normal tissue adjacent to the tumor and normal donor tissue also examined. Metastasis reflects the most adverse clinical outcome. Results provide insight into the molecular mechanisms underlying the metastatic process.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 4 tissue sets
Platform:
GPL93
Series:
GSE6919
164 Samples
Download data: CEL
12.
Full record GDS2546

Metastatic prostate cancer (HG-U95B)

Analysis of metastatic prostate tumors and primary prostate tumors. Normal tissue adjacent to the tumor and normal donor tissue also examined. Metastasis reflects the most adverse clinical outcome. Results provide insight into the molecular mechanisms underlying the metastatic process.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 4 tissue sets
Platform:
GPL92
Series:
GSE6919
167 Samples
Download data: CEL
13.
Full record GDS2545

Metastatic prostate cancer (HG-U95A)

Analysis of metastatic prostate tumors and primary prostate tumors. Normal tissue adjacent to the tumor and normal donor tissue also examined. Metastasis reflects the most adverse clinical outcome. Results provide insight into the molecular mechanisms underlying the metastatic process.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 4 tissue sets
Platform:
GPL8300
Series:
GSE6919
171 Samples
Download data: CEL
14.

Lineage analysis of basal epithelial cells reveals their unexpected plasticity and supports a cell of origin model for prostate cancer heterogeneity

(Submitter supplied) We used RNA-seq to compare the expression profiles of mouse prostate tumors originated from epithelial basal cells to those originated from luminal cells. We next generated expression signatures for both basal and luminal origin tumors by comparison of tumor samples to their respective controls. By comparing luminal to basal signatures we identified a prognostic molecular signature for prostate cancer patient survival.
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL13112
34 Samples
Download data: TXT
Series
Accession:
GSE39509
ID:
200039509
15.

Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell states

(Submitter supplied) Methods: To characterize the prostate cancer tumor microenvironment, we performed single-cell RNA-sequencing on prostate biopsies, prostatectomy specimens, and patient-derived organoids from localized prostate cancer patients. Results: We identify a population of tumor-associated club cells that could be associated with prostate carcinogenesis and uncover heterogeneous cellular states in prostate epithelial cells marked by high androgen signaling states that are enriched in prostate cancer. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
53 Samples
Download data: TXT
Series
Accession:
GSE176031
ID:
200176031
16.

IQUSP_Human_intronic_4k_v2.0

(Submitter supplied) Reporters were arranged in 12 sub-arrays containing each one 12 rows and 32 columns of spots (384 spots/sub-array). Rows 1 to 5 comprise nomatch human cDNAs. Rows 6 to 10 comprise cDNAs from known human genes. Rows 11 and 12 of each sub-array contain the 32 ScoreCard control cDNAs and 32 prostate expressed control cDNAs plus housekeeping cDNAs, respectively. Protocol: The microarray platform used in this project deploys up to 4,608 distinct cDNA spots in duplicate per glass slide, comprising a total of 9,216 elements per array. more...
Organism:
Homo sapiens
7 Series
256 Samples
Download data
Platform
Accession:
GPL3985
ID:
100003985
17.

A Basal Stem Cell Signature Identifies Aggressive Prostate Cancer Phenotypes

(Submitter supplied) Aggressive cancers and normal stem cells often share similar molecular and functional traits. It is unclear if aggressive phenotypes of prostate cancer molecularly resemble normal stem cells residing within the human prostate. We performed high-throughput RNA sequencing on uncultured, highly purified epithelial populations from human prostates obtained after radical prostatectomy. We found the basal population to be defined by genes associated with developmental programs, epigenetic remodeling, and invasiveness. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
20 Samples
Download data: TXT
18.

Expression data from prostate cancer and benign prostate glands

(Submitter supplied) Prostate cancer is a leading cause of cancer death amongst males. The main clinical dilemma in treating prostate cancer is the high number of indolent cases that confer a significant risk of over diagnosis and over treatment. In this study we have performed a genome expression profiling of tumor tissue specimens from 36 patients with prostate cancer to identify transcripts that delineate aggressive and indolent cancer. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
50 Samples
Download data: CEL
Series
Accession:
GSE46602
ID:
200046602
19.

Gene expression profiling of laser capture microdissected prostate specimens

(Submitter supplied) We performed gene expression profiling of laser capture microdissected normal non-neoplastic prostate (cystoprostatectomies) epithelial tissue and compared it to non-transformed and neoplastic low and high grade prostate epithelial tissue from radical prostatectomies, each with its immediately surrounding stroma.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6244
188 Samples
Download data: CEL
Series
Accession:
GSE97284
ID:
200097284
20.

Molecular pathogenesis of human prostate basal cell hyperplasia reveals a keratinocyte metaplasia

(Submitter supplied) The incidence of basal cell hyperplasia (BCH) has been reported at 8-10%, but a molecular and cellular characterization has not been performed on this phenotype. Using freshly digested tissue from surgical specimens, we performed transcriptomic analysis of flow cytometry-purified basal epithelia from patients with and without a majority BCH phenotype. Gene set enrichment analysis revealed an increased expression of members of the epidermal differentiation complex, resembling the progression of other metaplastic diseases.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18460
7 Samples
Download data: TXT
Series
Accession:
GSE99824
ID:
200099824
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