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:To identify novel molecular targets for triple negative breast cancer (TNBC), we have employed whole genome microarray expression profiling. We purified 30 surgically resected breast cancer tissue diagnosed triple negative by means of immunohistochemical staining and 13 normal mammary ductal cells with lasermicrobeam microdissection system (PALM MicroBeam, Carl Zeiss MicroImaging Co., Ltd), performed whole human genome microarray, and compared gene expression levels of TNBC, normal mammary ductal cells, and normal vital organs to develop molecular targets with a minimum risk.
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:To discover individual genes with potential diagnostic and therapeutic utilities, we use gene expression profiling from real patient tissues to identify significantly regulated genes out of a broad coverage of human transcriptome. We use Agilent gene expression microarray technologies to measure gene expressions of 32 cancerous and normal tissues from breast cancer patients. Total RNAs were extracted and analyzed using Agilent microarray technologies. The whole genome expression profiling has been proformed and several significantly differently expressed genes (such as HS3ST4, MMP1, MMP11) were quatified by qPCR to verify their up/down-regulations, leading to discovery of important genes related to breast cancer metastasis. We examined 32 human breast tissues of three different breast cancer subtypes (including Luminal A, Luminal B, Triple Negative) and normal controls to perform microarray gene expression profiling.