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Links from GEO DataSets

Items: 15

1.

Gene expression signature and the prediction of lymph node metastases

(Submitter supplied) Samples were taken from colorectal cancers in surgically resected specimens in 89 colorectal cancer patients. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays. Comparison between the sample groups allow to identify a set of discriminating genes that can be used for molecular markers for predicting lymph node metastases. Keywords: disease state analysis
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
89 Samples
Download data
Series
Accession:
GSE4459
ID:
200004459
2.

Gene expression signature and the prediction of recurrence in stage III colorectal cancer by DNA microarray

(Submitter supplied) Samples were taken from colorectal cancers in surgically resected specimens in 36 colorectal cancer patients. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays. Comparison between the sample groups allow to identify a set of discriminating genes that can be used for molecular markers for predicting recurrence. Keywords: repeat
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
36 Samples
Download data
Series
Accession:
GSE4526
ID:
200004526
3.

Molecular Marker for predicting development of cancer in ulcerative colitis

(Submitter supplied) Samples were taken from either surgically resected specimens or during surveillance colonoscopic examination. The expression profiles were determined using Affymetrix Human Genome U133 Plus 2.0 arrays. Comparison between the sample groups allow to identify a set of discriminating genes that can be used for molecular markers for predicting development of cancer and/or dysplasia in ulcerative colitis, and to characterize potential diagnostic markers in UC-associated neoplasm. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
121 Samples
Download data
Series
Accession:
GSE3629
ID:
200003629
4.

Gene expression in early stage cervical cancer

(Submitter supplied) Gene expression profiling of early stage cervical cancer tumours with and without lymph node metastasis, in order to predict lymph node metastasis before treatment. Subsequently, comparing gene expression profiles between healthy cervical tissue and early stage cervical cancer tissue. Keywords: Disease stage analysis
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL1708
45 Samples
Download data: TXT
Series
Accession:
GSE7410
ID:
200007410
5.

Prediction of lymphatic metastasis from primary squamous cell carcinoma of the oral cavity

(Submitter supplied) Metastasis via the lymphatics is a major risk factor in squamous cell carcinoma of the oral cavity (OSCC). We sought to determine whether the presence of metastasis in the regional lymph node could be predicted by a gene expression signature of the primary tumor. A total of 18 OSCCs were characterized for gene expression by hybridizing RNA to Affymetrix U133A gene chips. Genes with differential expression were identified using a permutation technique and verified by quantitative RT-PCR and immunohistochemistry. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS1062
Platform:
GPL96
27 Samples
Download data: CEL
Series
Accession:
GSE2280
ID:
200002280
6.
Full record GDS1062

Squamous cell carcinoma of the oral cavity with lymph node metastasis

Expression profiling of 18 primary squamous cell carcinomas of the oral cavity with or without lymph node metastasis. Expression in lymph node metastasis also examined. Results used to identify gene expression signature in primary tumors that indicates the presence of lymph node metastasis.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 2 disease state, 2 tissue sets
Platform:
GPL96
Series:
GSE2280
27 Samples
Download data: CEL
DataSet
Accession:
GDS1062
ID:
1062
7.

A predictive and prognostic 38-gene expression signature for metastatic relapse in breast cancer

(Submitter supplied) Background Currently, no gene-expression signature (GES) established from node-positive cohorts, able to predict breast cancer evolution after systemic adjuvant chemotherapy, exists. Methods Gene-expression profiles of 252 node-positive patients (median follow-up: 7.7 years), mostly included in a randomized clinical trial (PACS01), receiving systemic adjuvant regimen, were determined by means of cDNA custom array representing 5,776 distinct genes. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL4819
252 Samples
Download data: TXT
Series
Accession:
GSE11264
ID:
200011264
8.

Predicting Features of Breast Cancer with Gene Expression Patterns

(Submitter supplied) Predictors built from gene expression data accurately predict ER, PR, and HER2 status, and divide tumor grade into high-grade and low-grade clusters; intermediate-grade tumors are not a unique group. In contrast, gene expression data cannot be used to predict tumor size or lymphatic-vascular invasion. Keywords: disease state analysis
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
129 Samples
Download data: CEL
Series
Accession:
GSE5460
ID:
200005460
9.

Gene expression profiles of oral tongue squamous cell carcinoma tissues.

(Submitter supplied) Gene expression profiles of oral tongue squamous cell carcinoma tissues. Keywords: human tongue cancer, brachytherapy, biopsy sample, primary tissues
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL2891
98 Samples
Download data
Series
Accession:
GSE4676
ID:
200004676
10.

Expression Changes Relevant for Apoptosis in K562 Cells Co-Treated with Amifostine and Imatinib

(Submitter supplied) We had previously demonstrated an increased proapoptotic effect of Imatinib (STI571) in combination with Amifostine (AMI) in K562 cell line. In this study we used genomic scale gene expression profiling to monitor changes at transcriptional level in K562 cells during the treatment with AMI+STI571. We identified a transcriptional repressor of survival genes, known as BTF, which triggers a pro-apoptotic signal, potentially helpful to overcome the resistance to STI571. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL2829
4 Samples
Download data
Series
Accession:
GSE3312
ID:
200003312
11.

Comparative study of gene expression in human colorectal cancer tissues and normal mucosa

(Submitter supplied) The purpose of our study was to better understand the genetic mechanism of oncogenesis for human colorectal cancer and to identify potential new tumour markers of use in clinical practice. Results: Comparing cancerous tissues with normal colonic mucosa we identified 584 known genes (3%) differentially expressed to a significant degree (p<0.001). Many of the transcripts that were more abundant in tumours than in non-neoplastic tissues appear to reflect important events for colon carcinogenesis. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL2829
24 Samples
Download data
Series
Accession:
GSE3294
ID:
200003294
12.

Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs.

(Submitter supplied) Lymph node involvement is the most important prognostic factor in breast cancer, but little is known about the underlying molecular changes. First, to identify a molecular signature associated with nodal metastasis, gene expression analysis was performed on a homogeneous group of 96 primary breast tumors, balanced for lymph node involvement. Each tumor was diagnosed as a poorly differentiated, estrogen positive, her2-neu negative invasive ductal cancer. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
116 Samples
Download data: CEL
Series
Accession:
GSE23177
ID:
200023177
13.

Rectal Cancer Cells and Radiation-sensitivity

(Submitter supplied) Biopsy specimens were collected from rectal cancer before starting preoperative radiotherapy.The expression profiles were determined using Affymetrix Human Genome U95 version 2 arrays.Comparison between the sample groups allow to identify a set of discriminating genes that can be used for characterization of responders and nonresponders to preoperative radiotherapy in rectal cancer. Keywords: repeat
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS1887
Platform:
GPL8300
46 Samples
Download data
Series
Accession:
GSE3493
ID:
200003493
14.
Full record GDS1887

Rectal cancer cells and radiotherapy response

Analysis of rectal cancer cells from patients prior to preoperative radiotherapy. Response to radiotherapy determined by histopathologic examination of resected specimens. Results identify gene markers for the characterization and prediction of the response to radiotherapy in rectal cancer.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 2 disease state, 2 protocol sets
Platform:
GPL8300
Series:
GSE3493
46 Samples
Download data
DataSet
Accession:
GDS1887
ID:
1887
15.

Expression data from healthy controls and early stage CRC patient's tumor

(Submitter supplied) Metastasis is the major cause of cancer mortality. Up to 25% of early stage sporadic colorectal cancer (CRC) patients succumb to metastasis after curative surgery. We used microarrays to detail gene expression and identified a metastasis-prone signature for early stage CRC. Keywords: RNA expression
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
82 Samples
Download data: CEL, CHP
Series
Accession:
GSE9348
ID:
200009348
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