GEO DataSets

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by array

Platforms:

GPL17077 GPL11357

16 Samples

Download data: TXT

(Submitter supplied) 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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL20844

16 Samples

Download data: TXT

(Submitter supplied) By employing a global gene expression profiling, we performed analysis of the molecular pathways which are deregulated in prostate cancer cell line DU145 grown under tumorsphere forming condition and as standard attached monolayer culture. Both oriignal DU145 and its radioresistant derivative DU145-RR were analyzed

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL16699

12 Samples

Download data: TXT

(Submitter supplied) Prostate cancer cell lines DU145 and LNCaP were purchased from the American Type Culture Collection. Radioresistant (RR) sublines were generated form these original parental radiosensitive (RS) cell lines. Gene expression profiles of radiosensitive (RS) and radioresistant (RR) prostate cancer cell lines were measured.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17077

12 Samples

Download data: TXT

(Submitter supplied) Prostate cancer cell lines DU145 and LNCaP were purchased from the American Type Culture Collection. Radioresistant (RR) sublines were generated form these original parental radiosensitive (RS) cell lines. aCGH profiles of radiosensitive (RS) and radioresistant (RR) prostate cancer cell lines were measured and compared to normal DNA.

Organism:

Homo sapiens

Type:

Genome variation profiling by array

Platform:

GPL11357

4 Samples

Download data: TXT

(Submitter supplied) Purpose: Single cell RNA-seq could observe heterogeneity of cell transcriptomes. The goals of this study are to compare the changes of ESCC cell line KYSE-180 RNA profiles in response to different doses of radiotherapy and to analyze the radio-resistance related genes.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

314 Samples

Download data: TXT

(Submitter supplied) Dysregulated choline metabolism is a well-known feature of breast cancer, but the underlying mechanisms are not fully understood. In this study, the metabolomic and transcriptomic characteristics of a large panel of human breast cancer xenograft models were mapped, with focus on choline metabolism. Methods: Tumor specimens from 34 patient-derived xenograft models were collected and divided in two. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL14550

30 Samples

Download data: TXT

(Submitter supplied) The VEGF targeted antiangiogenic drug bevacizumab has shown varying results in clinical trials of breast cancer. Identifying robust biomarkers for selecting patients that may benefit from bevacizumab treatment and for monitoring of response is important for the future use of this drug. Two established xenograft models representing basal-like and luminal-like breast cancer were used to study bevacizumab treatment response on the metabolic and gene expression levels. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6480

60 Samples

Download data: TXT

(Submitter supplied) By employing a global gene expression profiling, we performed analysis of the molecular pathways which are deregulated in DU145 ALDH+ prostate cancer progenitors and DU145-RR radioresistant cells.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL16699

18 Samples

Download data: TXT

(Submitter supplied) Cancer cells can metabolize glutamine to replenish TCA cycle intermediates, leading to a dependence on glutaminolysis for cell survival. However, a mechanistic understanding of the role that glutamine metabolism has on the survival of glioblastoma (GBM) brain tumor stem cells (BTSCs) has not yet been elucidated. Here we report that, across a panel of twenty glioblastoma BTSC lines, glutaminase (GLS) inhibition showed a variable response – from complete blockade of cell growth to absolute resistance. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

12 Samples

Download data: TXT

(Submitter supplied) Background: Radiotherapy plays an important role in the multimodal treatment of breast cancer. The response of a breast tumour to radiation depends not only on its innate radiosensitivity but also on tumour repopulation by cells that have developed radioresistance. Development of effective cancer treatments will require further molecular dissection of the processes that contribute to resistance. Methods: Radioresistant cell lines were established by exposing MDA-MB-231, MCF-7 and ZR-751 parental cells to increasing weekly doses of radiation. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL21697

29 Samples

Download data: TXT

(Submitter supplied) BACKGROUND. Human prostate cancer LNCaP and PC-3 cell lines have been extensively used as prostate cancer cell models to study prostate cancer progression and to develop therapeutic agents. Although LNCaP and PC-3 cells are generally assumed to represent early and late stages of prostate cancer development, respectively, there is limited information regarding comprehensive gene expression patterns between these two cells lines and relating these cells to prostate cancer progression based on their gene expression. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6883

8 Samples

Download data

(Submitter supplied) Human prostate cancer C4-2 cells transfected with siRNAs (siNS and siRRM2). Knockdown were confirm by westernblot or qPCR. Transfected cells were prepared for RNA-seq.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

4 Samples

Download data: XLSX

(Submitter supplied) Human prostate cancer PC-3 cells stably overexpress RRM2. Overexpression of RRM2 were confirm by westernblot or qPCR. Transfected cells were prepared for RNA-seq.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

4 Samples

Download data: XLSX

(Submitter supplied) Human prostate cancer LNCaP cells stably overexpress RRM2. Overexpression of RRM2 were confirm by westernblot or qPCR. Transfected cells were prepared for RNA-seq.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

4 Samples

Download data: XLSX

(Submitter supplied) Human prostate cancer C4-2 cells treated with COH29 and DMSO. Cells were treated with DMSO, 10uM or 20 uM COH29 for 48 hours. Cells were prepared for RNA-seq.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL11154

6 Samples

Download data: XLSX

(Submitter supplied) TMEFF2 is an androgen regulated transmembrane protein mainly restricted to brain and prostate, that functions as a tumor suppressor in prostate cancer (PCa). Studies using publically available prostate cancer (PCa) datasets, reveal changes in the expression of TMEFF2 with disease stage, supporting an important role of TMEFF2 in this disease. However, the role of TMEFF2 in the biology and pathogenesis of PCa is still unknown. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL18573

12 Samples

Download data: TXT

(Submitter supplied) Background Understanding the heterogeneous genotypes and phenotypes of prostate cancer is fundamental to improving the way we treat this disease. As yet, there are no validated descriptions of prostate cancer subgroups derived from integrated genomics linked with clinical outcome. Methods In a study of 482 tumor, benign and germline samples from 259 men with primary prostate cancer, we used integrative analysis of copy number alterations (CNA) and array transcriptomics to identify genomic loci that affect expression levels of mRNA in an expression quantitative trait loci (eQTL) approach, to stratify patients into subgroups that we then associated with future clinical behavior, and compared with either CNA or transcriptomics alone. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL6801

180 Samples

Download data: CEL, TXT

(Submitter supplied) Background Understanding the heterogeneous genotypes and phenotypes of prostate cancer is fundamental to improving the way we treat this disease. As yet, there are no validated descriptions of prostate cancer subgroups derived from integrated genomics linked with clinical outcome. Methods In a study of 482 tumour, benign and germline samples from 259 men with primary prostate cancer, we used integrative analysis of copy number alterations (CNA) and array transcriptomics to identify genomic loci that affect expression levels of mRNA in an expression quantitative trait loci (eQTL) approach, to stratify patients into subgroups that we then associated with future clinical behavior, and compared with either CNA or transcriptomics alone. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL16104

7 Samples

Download data: IDAT, TXT

(Submitter supplied) Background Understanding the heterogeneous genotypes and phenotypes of prostate cancer is fundamental to improving the way we treat this disease. As yet, there are no validated descriptions of prostate cancer subgroups derived from integrated genomics linked with clinical outcome. Methods In a study of 482 tumour, benign and germline samples from 259 men with primary prostate cancer, we used integrative analysis of copy number alterations (CNA) and array transcriptomics to identify genomic loci that affect expression levels of mRNA in an expression quantitative trait loci (eQTL) approach, to stratify patients into subgroups that we then associated with future clinical behavior, and compared with either CNA or transcriptomics alone. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL20641

28 Samples

Download data: IDAT, TXT