Project description:Discrepancies in the prognosis of triple negative breast cancer exist between Caucasian and Asian populations. Yet, the gene signature of triple negative breast cancer specifically for Asians has not become available. Therefore, the purpose of this study is to construct a prediction model for recurrence of triple negative breast cancer in Taiwanese patients.
Project description:We thoroughly analyzed the molecular subtyping of Triple-Negative Breast Cancer and its different manifestations, and located T cells and Tumor cells related to the survival of breast cancer through single cell sequencing and space transcriptome according to our score, and finally investigated their relationship with the therapeutic efficacy, providing a scientific basis for the treatment of triple negative breast cancer.
Project description:We thoroughly analyzed the molecular subtyping of Triple-Negative Breast Cancer and its different manifestations, and located T cells and Tumor cells related to the survival of breast cancer through single cell sequencing and space transcriptome according to our score, and finally investigated their relationship with the therapeutic efficacy, providing a scientific basis for the treatment of triple negative breast cancer.
Project description:'Precision medicine' is a concept that by utilizing modern molecular diagnostics, an effective therapy is accurately applied for each cancer patient to improve their survival rates. The aim of this study was to compare the molecular subtypes of triple negative breast cancer (TNBC) between Taiwanese and other datasets.
Project description:Discrepancies in the prognosis of triple negative breast cancer exist between Caucasian and Asian populations. Yet, the gene signature of triple negative breast cancer specifically for Asians has not become available. Therefore, the purpose of this study is to construct a prediction model for recurrence of triple negative breast cancer in Taiwanese patients. Whole genome expression profiling of breast cancers from 185 patients in Taiwan from 1995 to 2008 was performed, and the results were compared to the previously published literature to detect differences between Asian and Western patients. Pathway analysis and Cox proportional hazard models were applied to construct a prediction model for the recurrence of triple negative breast cancer. Most expression data of samples (181/185) were reanalyzed from previous studies already uploaded to GEO (see "reanalysis of" links below). Four additional gene expression profiling data of triple negative breast cancer sample were added to this study.
Project description:Triple negative breast cancers lack targeted therapies with little side effects and contain higher percentage of cancer stem cells than the other breast cancer subtypes. Genes capturing the features of cancer stem cells of such diseases may serve as potential subtyping marker or therapeutic targets for triple negative breast cancer management. This data descriptor presents a set of transcriptome data from 3 cohorts of cancer stem cells as represented as CD44+/CD24-/low and 2 cohorts of non-cancer stem cells isolated from triple negative breast cancer cells, each having 3 replicates.
