Project description:Comprehensive genomic analysis identify novel subtypes and targets of triple-negative breast cancer (67 not triple-negative tumors)
Project description:About 15-20% of all breast cancers are triple negative breast cancers, which are often highly aggressive. We performed global quantitative phosphotyrosine profiling of a large panel of triple negative breast cancer cell lines using high resolution Fourier transform mass spectrometry. Our study identified 1,903 tyrosine-phosphorylated peptides derived from 969 proteins. Heterogeneous activation of tyrosine kinases was observed in triple negative breast cancer derived cell lines.
Project description:Breast cancers enriched for the triple negative breast cancer phenotype with extensive clinico-pathological features were profiled to establish their comprehensive transcriptional profiles
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:We propose to definitively characterise the somatic genetics of triple negative breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.
