GEO DataSets

(Submitter supplied) Background Published multi-gene classifiers suggested outcome prediction for patients with stage UICC II colon cancer based on different gene expression signatures. However, there is currently no translation of these classifiers for application in routine diagnostic. Therefore, we aimed at validating own and published gene expression signatures employing methods which enable RNA and protein detection in routine diagnostic specimens. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4513

Platform:

GPL570

53 Samples

Download data: CEL

Analysis of tumor cells from sporadic stage UICC II colon cancer patients who were treated by elective standard oncological resection but developed relapse during follow-up. Results provide insight into the challenges of constructing molecular signatures predictive for patient outcome.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 disease state, 2 other sets

Platform:

GPL570

Series:

GSE18088

53 Samples

Download data: CEL

(Submitter supplied) microRNA profiling of colon tumor tissues vs adjacent normal tissues

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL17496

80 Samples

Download data: GPR

(Submitter supplied) In Western countries, colorectal cancer (CRC) is the third most common cancer in both men and women and the second leading cause of cancer-related deaths (approximately 500,000 deaths annually). For CRC, the tumor stage is the main prognostic factor for survival or relapse after surgery. Current staging is based on the AJCC classification which takes into account tumor size/depth, lymph node involvement and distant metastases. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6480

8 Samples

Download data: TXT

(Submitter supplied) Purpose: A 128-gene signature has been proposed to predict poor outcomes in patients with stage II and III colorectal cancer. In the present study we aimed to validate this previously published 128-gene signature on external and independent data from patients with stage II and III colon cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array; Third-party reanalysis

Platform:

GPL570

37 Samples

Download data: CEL, TXT

(Submitter supplied) Background: Around 30% of all stage II colon cancer patients will relapse and die of their disease. At present no objective parameters for identification of high-risk stage II colon cancer patients, who will benefit from adjuvant chemotherapy, are established. With traditional histopathological features definition of high-risk stage II colon cancer patients is inaccurate. Therefore more objective and robust markers for prediction of relapse are needed. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL8841

40 Samples

Download data: TXT

(Submitter supplied) Microarray analyses for the identification of differences in gene expression patterns have increased our understanding of the molecular genetic events in colorectal cancer. We used gene expression analysis data from recurrent and non-recurrent patients with colorectal cancer to identify differentially expressed probes.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

81 Samples

Download data: CEL

(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) Purpose: The benefit of postoperative adjuvant chemotherapy in patients with Dukes´ B colorectal cancer is still uncertain and its routine use is not recommended. The five years survival rate is approximately 75% and identification of the patients at high risk of recurrence would represent an important strategy for the use of adjuvant chemotherapy. In this study we identify new prognostic markers for tumor relapse in Dukes´ B colon cancer patients. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS1263

Platform:

GPL2006

16 Samples

Download data: TIFF

Expression profiling of previously resected frozen primary tumors from patients with Dukes' stage B colon cancer that recurred in 5 years. Results identify potential prognostic markers for tumor relapse.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 disease state sets

Platform:

GPL2006

Series:

GSE2630

16 Samples

Download data: TIFF

(Submitter supplied) This series is part of a larger series (GSE24549) of colorectal cancer tissue samples analyzed for global gene expression. The expression measures were used to develope a gene signature for prediction of prognosis in stage II and III colorectal cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

95 Samples

Download data: CEL, CHP

(Submitter supplied) By the use of whole genome transcription analysis, we aimed to develop a gene expression classifier to increase the likelihood of identifying stage II colorectal cancer (CRC) samples with a poor prognostic outcome. Gene expression measurement were measured by the GeneChip® Human Exon 1.0 ST Arrays from Affymetrix.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

50 Samples

Download data: CEL, CHP

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL11028 GPL5175

333 Samples

Download data: CEL, CHP

(Submitter supplied) Colorectal cancer is a heterogeneous disease molecularly characterized by inherent genomic instabilities, chromosome instability and microsatellite instability. In the present study we propose transcriptome instability as an analogue to genomic instability on the transcriptome level. Exon microarray data from two independent series of altoghether 160 colorectal cancer tissue samples was used for global alternative splicing detection using the FIRMA algorithm (aroma.affymetrix). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL5175 GPL11028

167 Samples

Download data: CEL, CHP

(Submitter supplied) Colorectal cancer is a heterogeneous disease molecularly characterized by inherent genomic instabilities, chromosome instability and microsatellite instability. In the present study we propose transcriptome instability as an analogue to genomic instability on the transcriptome level. Exon microarray data from two independent series of altoghether 160 colorectal cancer tissue samples was used for global alternative splicing detection using the FIRMA algorithm (aroma.affymetrix). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL11028 GPL5175

166 Samples

Download data: CEL, CHP

(Submitter supplied) One hundred and seven lung Squamous Cell Carcinomas collected from early stage (stage I+II; AJCC 7th edition) patients at the National Cancer Center Hospital (Tokyo, Japan) between 1997 and 2008 were hybridized to the Human Transcriptome (HT) Array 2.0

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

107 Samples

Download data: CEL

(Submitter supplied) Despite surgical treatment of stage I non-small cell lung cancer (NSCLC), one third of patients will eventually have a recurrence. Robust prognostic markers are required to better manage therapy options. MicroRNAs play important roles in human cancers. The purpose of this study is to identify miRNA expression profiles that would better predict prognosis. Small RNAs extracted from formalin-fixed and paraffin-embedded (FFPE) tumor tissues of 357 stage I NSCLC patients were profiled on the human MicroRNA expression profiling V2 panel (Illumina). more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL8179

387 Samples

Download data: TXT

(Submitter supplied) Tumor budding is a definite prognostic marker, but does not always show favorable reproducibility. We developed a new molecular signature related to tumor budding levels, a microscopic finding of dedifferentiation, using RNA extracted from the whole tissue section and disclosed its relevance to a high recurrence risk using an inhouse dataset and independent public datasets.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

91 Samples

Download data: CEL, CHP

(Submitter supplied) A 36-gene classifier was constructed through expression profiling of 132 tumors from tamoxifen-treated patients using 70-mer oligonucleotide microarrays. The robustness of the signature was demonstrated using expression data from 83 independent tumors. The 36-gene signature was (i) more efficient to predict disease-free survival than the traditional histo-pathological prognostic factors, (ii) as effective as the Nottingham Prognostic Index or the "Adjuvant!" software, and (iii) the only independent prognostic factor. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5049

155 Samples

Download data: GPR, TXT