Project description:Triple negative breast cancer (TNBC) is an aggressive and clinically challenging subtype of breast cancer. TNBC disporportionately affects African-American (AA) women, but the biological basis of this disparity is not understood. To gain a better understanding of TNBC, particularly in AA patients, we applied spatial transcriptomics to thoroughly characterize gene expression and tissue architecture in TNBC. Our cohort consisted of 22 patients, 15 of whom were AA, and 7 who were Caucasian. We obtained 2 sections from each patient's tumor (except for patient 19) for a total of 43 samples.
Project description:In this study, we analyzed the differential spatial transcriptome of Triple-Negative Breast Cancer (TNBC) patients who responded in an opposite manner to neoadjuvant chemotherapy (NACT): we compared responders displaying pathological complete response (pCR) with no-responders who showed disease progression during therapy. Diagnostic TruCut biopsies were analyzed using the GeoMx Cancer Transcriptome Atlas (Nanostring).
Project description:To elucidate the downstream transcriptomics changes in reponse to TDO2 alteration including shRNA knockdown, overexpression and TDO2/IDO duak inhibitor treatments in human triple-negative breast cancer cell lines.
Project description:This experiment includes GeoMx spatial transcriptomic analyses of FFPE tissue from breast ductal carcinoma in situ lesions from 16 patients. All lesions were subject to ER, PR, HER2 and Ki67 immunohistochemistry and assigned a molecular subtype. The main aim was to compare DCIS of the two subtypes Triple Negative and Luminal A. From each patient sample, multiple regions of interest (ROIs) were selected and the synthetics nucleotide oligos attached to RNA probes were sequenced separately. Tumor areas and stromal areas were sequenced separately. The data provided is the raw (unnormalized) count matrix, and Q3 normalized data from tumor and stroma areas separetely in addition to corresponding metadata files to enable linking between patient ID and ROI.