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Genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer
PubMed Full text in PMC Similar studies Analyze with GEO2R
Validation cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer
Discovery cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer
Prediction of breast cancer pathological complete response to anthracycline/taxane chemotherapy.
IPH-926 human lobular breast cancer cells
Gene profile of breast cancers with immunohistochemical phenotypes of ER+/- and/or HER2+/-
Transcriptome analysis of ER+/PR+, ER-/PR+ and triple negative breast tumors
PubMed Similar studies Analyze with GEO2RSRA Run Selector
Endocrine Sensitivity Index Validation Dataset
Factorial study for evaluating the effect of Affy platform and lab on gene expression measurements
Expression data from breast cancer FNA biopsies from patients (US samples)
PubMed Similar studies Analyze with GEO2R
Expression data from breast cancer FNA biopsies from patients
ER-positive/HER2-negative and ER-negative/HER2-negative breast cancer biopsies (MDACC/IGR cohort)
PubMed Full text in PMC Similar studies GEO Profiles Analyze DataSet
ER-positive/HER2-negative and ER-negative/HER2-negative breast cancer biopsies (USO-02103 cohort)
PubMed Similar studies GEO Profiles Analyze DataSet
Expression data from breast cancer FNA biopsies from patients ( (USO samples)
Multifactorial Approach to Predicting Resistance to Anthracyclines
Specific kinesin expression profiles associated with taxane resistance in breast cancer
Modeling Luminal breast cancer heterogeneity: Combination therapy to suppress hormone receptor negative cells in Luminal disease
Genomic agonism and phenotypic antagonism between estrogen and progesterone receptors in breast cancer. [ChIP-seq]
PubMed Full text in PMC Similar studies
Genomic agonism and phenotypic antagonism between estrogen and progesterone receptors in breast cancer. [cell models RNA-seq]
Genomic agonism and phenotypic antagonism between estrogen and progesterone receptors in breast cancer. [tumor samples RNA-seq]
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