Project description:This microarray dataset contains 51 triple-negative breast cancers with clinical and recurrence information for at least 3 years of follow-up and 106 luminal breast cancers (reanalyzed data from Series GSE24124, GSE9309, and GSE17040). A novel set of 45-gene signature that was statistically predictive of distant metastasis recurrence for triple-negative breast cancer was identified in this study.
2012-11-01 | GSE33926 | GEO
Project description:Triple-negative breast cancer sequencing data
Project description:This microarray dataset contains 51 triple-negative breast cancers, 25 normal breast tissues, and 106 luminal breast cancers (reanalyzed data from Series GSE24124, GSE9309, and GSE17040). Keywords: Expression profiling by array Specimens of breast cancer tissue were collected and snap-frozen from breast cancer patients who had surgery between 1995 and 2008 at National Taiwan University Hospital (NTUH, Taipei, Taiwan). Clinicopathological information was obtained for all breast cancer patients along with informed consent. The AJCC/UICC TNM system was used for breast cancer staging classification.
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:Systems modelling of the EGFR-PYK2-c-Met interaction network predicted and prioritized synergistic drug combinations for Triple-negative breast cancer
Project description:This microarray dataset contains 51 triple-negative breast cancers, 25 normal breast tissues, and 106 luminal breast cancers (reanalyzed data from Series GSE24124, GSE9309, and GSE17040). Keywords: Expression profiling by array
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.
Project description:Genome-wide DNA methylation profiles for 154 triple negative breast cancer (TNBC) samples from the Swedsh Cancerome Analysis Network - Breast (SCAN-B) cohort.
Project description:Genome-wide DNA methylation profiles for 82 triple negative breast cancer (TNBC) samples from the Swedsh Cancerome Analysis Network - Breast (SCAN-B) cohort.
