GEO DataSets

(Submitter supplied) The level of copy number alteration (CNA), or CNA burden, in cancer genomes is associated with recurrence and metastasis in prostate cancer. As clinical genomic analysis of tumors and tumor biopsies becomes widespread, there is a growing need to understand the prognostic factors captured by genomic features, especially in prostate cancer where conservative treatment approaches are increasingly common. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platforms:

GPL10152 GPL10123

107 Samples

Download data: TXT

(Submitter supplied) Prostate cancer is the most common malignancy in men. Yet, the modest benefit of treatment highlights the unmet need for prognostic biomarkers in prostate cancer (1). Few large prostate oncogenome resources currently exist that combine the molecular and clinical outcome data necessary for prognostic discovery. To determine the extent to which genomic aberrations reflect the risk of prostate cancer-specific outcomes, we profiled more than 100 primary prostate cancers with long-term follow-up for genome-wide copy number alterations (CNA). more...

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL8737

104 Samples

Download data: TXT

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

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by SNP array; SNP genotyping by SNP array

Platforms:

GPL5175 GPL6801

201 Samples

Download data: CEL, CHP

(Submitter supplied) In order to identify biomarkers that contribute to genetic causes of OSCC, we attempt to identify copy number variation regions (CNV) in patients with OSCC. We identified and confirmed the clinical significance of amplification regions scattered from 8q22.2 to 8q24.3.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platform:

GPL6801

122 Samples

Download data: CEL, CHP, TXT

(Submitter supplied) Esophageal adenocarcinoma is characterized by complex chromosomal alterations. Tumors were evaluated to identify regions of recurrent copy gains and losses and to determine the prognositic significance of the degree of segmental aneuploidy as measured by SNP array.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platform:

GPL6801

82 Samples

Download data: CEL, CHP

(Submitter supplied) Tumor recurrence represents a significant clinical challenge in the treatment and management of breast cancer. To investigate whether copy number aberrations (CNAs) facilitate the re-emergence of tumor growth from residual disease we performed array comparative genomic hybridization (aCGH) on primary and recurrent mammary tumors from an inducible mouse model of type-I insulin-like growth factor receptor (IGF-IR) driven breast cancer. more...

Organism:

Mus musculus

Type:

Genome variation profiling by genome tiling array

Platform:

GPL15076

19 Samples

Download data: TXT

(Submitter supplied) Molecular profiling was used to classify mammary tumors that develop in MTB-IGFIR transgenic mice. It was determined that the primary mammary tumors (PMT), which develop due to elevated expression of the type I insulin-like growth factor receptor (IGF-IR) in mammary epithelial cells, most closely resemble murine tumors with basal-like or mixed gene expression profiles and with human basal-like breast cancers. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL7202

28 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

(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

300 Samples

Download data: IDAT, TXT

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

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by SNP array

4 related Platforms

808 Samples

Download data: CEL, IDAT

(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:

Expression profiling by array

Platform:

GPL10558

94 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 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:

Expression profiling by array

Platform:

GPL10558

199 Samples

Download data: TXT

(Submitter supplied) A survey of the somatic allelic imbalances and copy number alterations in HER2-amplified breast cancer.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platforms:

GPL8882 GPL13314

26 Samples

Download data: TXT

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

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; Other

Platforms:

GPL21558 GPL15520

128 Samples

Download data: CEL, OSCHP, VCF

(Submitter supplied) Intratumor heterogeneity fosters the evolution of the genome leading to metastatic progress and therapy resistance. Here, we investigate the relative contribution of genomic heterogeneity involving mutations and CNAs as prognostic and predictive determinants for disease recurrence in early-stage colon cancer. We combined targeted next-generation sequencing (NGS) and SNP arrays on a retrospective cohort of untreated stage II colon cancer patients to assess the association of genomic subclonality with time to recurrence (TTR).

Organism:

Homo sapiens

Type:

Other

Platform:

GPL15520

44 Samples

Download data: VCF

(Submitter supplied) Intratumor heterogeneity fosters the evolution of the genome leading to metastatic progress and therapy resistance . Here, we investigate the relative contribution of tumor aneuploidy and genomic heterogeneity involving CNAs and mutational events as prognostic and predictive determinants for disease recurrence in early-stage colon cancer patients. We combined SNP arrays, targeted next-generation sequencing, fluorescence in situ hybridization and inmunohistochemistry on a retrospective cohort of 84 untreated stage II colon cancer patients. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL21558

84 Samples

Download data: CEL, OSCHP

(Submitter supplied) To determine whether breast cancer molecular subtypes and tumor characteristics with demonstrated significance in a primary tumor setting can also confer clinically relevant information in breast cancer metastases. We assessed previously published gene expression modules of seven biological processes and the intrinsic subtypes (PAM50). The translational aspect of the Swedish randomized TEX trial included 112 patients with at least one biopsy from morphologically confirmed loco-regional or distant breast cancer metastasis diagnosed from December 2002 until June 2007. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10379

120 Samples

Download data: CEL

(Submitter supplied) The purpose of this study was to improve prediction of patients at high-risk for metastatic disease utilizing a nested case-control design that uniquely enables enrichment for relevant phenotypes. We identified all women diagnosed with primary breast cancer from January 1, 1997, to December 31, 2005, in the Stockholm health care region. Patients developing distant metastatic disease (cases) were selected and controls (free from distant disease) were randomly matched by adjuvant therapy, age and calendar period at diagnosis. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10379

623 Samples

Download data: CEL