In order to understand the transcriptional effects of CD44s expression in a cell line that does not express CD44 in its native form we transfected CD44s into HEK cells and measured the transcriptional chances compared to native HEK cells
CD44 Isoform Status Predicts Response to Treatment with Anti-CD44 Antibody in Cancer Patients.
No sample metadata fields
View SamplesThese data, combined with other cohorts (GSE6532, GSE12093, and qRT-PCR based cohorts), was used to construct the EP algorithm, which predicts the likelihood of developing of a distant recurrence of early stage breast cancer under endocrine treatment. In addition, EPclin, a combination of the EP score, the nodal status and the tumor size, was constructed.
A new molecular predictor of distant recurrence in ER-positive, HER2-negative breast cancer adds independent information to conventional clinical risk factors.
No sample metadata fields
View Samples593 FFPE colorectal cancer samples were used to generate three prediction models: Recurrence prediction, 5FU efficacy prediction, and FOLFOX efficacy prediction
Building personalized treatment plans for early-stage colorectal cancer patients.
Specimen part
View SamplesThe tissue of origin form metastatic tumors is sometimes difficult to identify from clinical and histologic information. Gene expression signatures are one potential method for identifying the tissue of origin. In the development of algorithms to identify tissue of origin, a collection of human tumor metastatic specimens with known primary sites or primary tumors with poor differentiation are very useful in identifying gene expressions signatures that can classify unknown specimens as to the tissue of origin. Here we describe a series of 276 such tumor specimens used for this purpose. The specimens are poorly differentiated, undifferentiated and metastatic specimens from tumors of the following types/tissues of origin: breast, liver, non-Hodgkin's lymphoma, non-small cell lung cancer, ovary, testicular germ cell, thyroid, kidney, pancreas, colorectal cancer, soft tissue sarcoma, bladder, gastric cancer, prostate and melanoma. This data combined with other series (GSE2109) was used to validate a proprietary tumor classification algorithm of Pathwork Diagnostics. The results of this validation set (N = 545 CEL files) showed that the algorithm correctly identified the tissue of origin for 89.4% of the specimens.
Multicenter validation of a 1,550-gene expression profile for identification of tumor tissue of origin.
Sex, Age
View Samples211 FFPE NSLC surgical samples were used to generate recurrence prediction models
Generating a robust prediction model for stage I lung adenocarcinoma recurrence after surgical resection.
No sample metadata fields
View SamplesAn international standardization program towards the application of gene expression profiling in routine leukaemia diagnostics: The MILE study pre-phase.
An international standardization programme towards the application of gene expression profiling in routine leukaemia diagnostics: the Microarray Innovations in LEukemia study prephase.
No sample metadata fields
View SamplesA new method for amplification and labeling of RNA is assessed that permits gene expression microarray analysis of formalin-fixed paraffin embedded tissue (i.e. FFPET) samples.
A novel method of amplification of FFPET-derived RNA enables accurate disease classification with microarrays.
Specimen part, Treatment
View SamplesThese data can be used for evaluation of the clinical utility of the research-based PAM50 subtype predictor in predicting pathological complete response (pCR) and event-free survival (EFS) in women enrolled in the NeOAdjuvant Herceptin (NOAH) trial.
Research-based PAM50 subtype predictor identifies higher responses and improved survival outcomes in HER2-positive breast cancer in the NOAH study.
Age, Treatment, Race
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Preclinical biomarkers for a cyclin-dependent kinase inhibitor translate to candidate pharmacodynamic biomarkers in phase I patients.
Specimen part, Cell line
View SamplesA genomics-based approach to identify pharmacodynamic biomarkers was used for a CDK (cyclin-dependent kinase) inhibitory drug. R547 is a potent CDK inhibitor with a potent anti-proliferative effect at pharmacologically relevant doses, and is currently in Phase I clinical trials. Utilizing preclinical data derived from microarray experiments, we identified pharmacodynamic biomarkers to test in blood samples from patients in clinical trials. These candidate biomarkers were chosen based on several criteria: relevance to the mechanism of action of R547, dose responsiveness in preclinical models, and measurable expression in blood samples. We identified 26 potential biomarkers of R547 action and tested their clinical validity in patient blood samples by quantitative real-time PCR analysis.
Preclinical biomarkers for a cyclin-dependent kinase inhibitor translate to candidate pharmacodynamic biomarkers in phase I patients.
Cell line
View Samples