In this study, we assess the effect of zoledronic acid on clearance of disseminated tumour cells (DTCs) from the bone marrow in women undergoing neoadjuvant chemotherapy for breast cancer
CXCR4 Protein Epitope Mimetic Antagonist POL5551 Disrupts Metastasis and Enhances Chemotherapy Effect in Triple-Negative Breast Cancer.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
The origins of breast cancer prognostic gene expression profiles.
No sample metadata fields
View SamplesMetastasis predictive gene signatures can result from either somatic mutation, inherited polyrmorphism or both. This experiment is designed to look at the gene expression differences due to differences in somatic mutations in the initiating oncogene, PyMT. Met1 is from a fully metastatic FVB mammary tumor cell line, DB7 contains a mutation that permits tumor formation, but suppresses metastatic ability.
The origins of breast cancer prognostic gene expression profiles.
No sample metadata fields
View SamplesF1 hybrids from (AKR/J x FVB/NJ) and (DBA/2J x FVB/NJ) outcrosses display a 20-fold difference in mammary tumor metastatic capacity, due to differences in inherited polymorphisms. Expression studies were performed to determine whether polymorphism-driven gene expression signatures predictive of outcome could be generated from normal tissues
The origins of breast cancer prognostic gene expression profiles.
No sample metadata fields
View SamplesF1 hybrids from (AKR/J x FVB/NJ) and (DBA/2J x FVB/NJ) outcrosses display a 20-fold difference in mammary tumor metastatic capacity, due to differences in inherited polymorphisms. Expression studies were performed to determine whether polymorphism-driven gene expression signatures predictive of outcome could be generated from mouse tumor tissues
The origins of breast cancer prognostic gene expression profiles.
No sample metadata fields
View SamplesF1 hybrids from (AKR/J x FVB/NJ) and (DBA/2J x FVB/NJ) outcrosses display a 20-fold difference in mammary tumor metastatic capacity, due to differences in inherited polymorphisms. Expression studies were performed to determine whether polymorphism-driven gene expression signatures predictive of outcome could be generated from normal tissues
The origins of breast cancer prognostic gene expression profiles.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Integrated cross-species transcriptional network analysis of metastatic susceptibility.
Specimen part
View SamplesMouse genetic crosses were established between the PyMT model of metastatic breast cancer and AKXD strain. Tumors were harvested from the animals for gene expression analysis to identify genes and network modules associated with progression to distant metastatic disease.
Integrated cross-species transcriptional network analysis of metastatic susceptibility.
Specimen part
View SamplesMouse genetic crosses were established between the PyMT model of metastatic breast cancer and NZB strain. Tumors were harvested from the animals for gene expression analysis to identify genes and network modules associated with progression to distant metastatic disease.
Integrated cross-species transcriptional network analysis of metastatic susceptibility.
Specimen part
View SamplesNeoadjuvant chemotherapy has been shown to be equivalent to post-operative treatment for breast cancer, and allows for assessment of chemotherapy response. In a pilot trial of docetaxel (T) and capecitabine (X) neoadjuvant chemotherapy for Stage II/III BC, we assessed correlation between baseline gene expression and tumor response to treatment, and examined changes in gene expression associated with treatment. Patients received 4 cycles of TX. Tumor tissue obtained from Mammotome core biopsies pretreatment (BL) and post-Cycle 1 (C1) of TX was flash frozen and stored at -70C until processing. Gene expression analysis utilized Affymetrix HG-U133 Plus 2.0 GeneChip arrays. Statistical analysis was performed using BRB Array Tools after RMA normalization. Gene ontology (GO) pathway analysis used random variance t-tests with a significance level of p<0.005. For gene categories identified by GO pathway analysis as significant, expression levels of individual genes within those pathways were compared between classes using univariate t-tests; those genes with significance level of p<0.05 were reported.
Gene expression pathway analysis to predict response to neoadjuvant docetaxel and capecitabine for breast cancer.
Specimen part, Time
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