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:To study the expression of SIPA1 in patients with metastatic triple-negative breast cancer, we obtained a subcutaneous metastatic sample from a patient with stage III triple-negative breast cancer and performed single-cell transcriptome sequencing
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:Twenty-four triple-negative breast cancer and 14 adjacent normal tissues were collected from breast cancer patients during surgeries at National Taiwan University Hospital (NTUH, Taipei, Taiwan). All triple-negative breast cancer samples were invasive ductal carcinomas (IDC) and were negative in immunohistochemical statuses of ER, PR, and HER2 receptors, as confirmed by professional pathologists. Treatment procedure of all patients followed the National Comprehensive Cancer Network (NCCN) guideline. All samples were neoadjuvant-free and were collected before systemic chemotherapy treatments. Written informed consent was obtained from all patients who participated in this study. Using human tissues for research in this study was approved by the institutional review board at NTUH. A novel set of 25-miRNA signature identified in this study was able to effectively distinguish between triple-negative breast cancer and adjacent normal tissues. Moreover, we documented the first evidence of seven polycistronic miRNA clusters preferentially harboring deregulated miRNA genes in triple-negative breast cancer. In the present study, a panel of 24 triple-negative breast cancer and 14 adjacent normal tissue samples were examined for the presence of deregulated miRNA genes using the high-throughput sequencing technology. Total RNA was extracted from the triple-negative breast cancer and adjacent normal samples for preparation of small RNA libraries. Each small RNA library was constructed from total RNA of each sample using the SOLiD Total RNA-Seq Kit (Applied Biosystems, Foster City, CA, USA). Upon completion of polymerase chain reaction (PCR) amplification, small RNA libraries were purified using the SOLiD Library Micro Column Purification Kit (Applied Biosystems) and hybridized to the template beads using the SOLiD EZ bead system (Applied Biosystems). The template beads were amplified and deposited onto subtract for ligation sequencing by SOLiD 4 System (Applied Biosystems).
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.