Project description:differential miRNA expression between breast tumor tissue and normal tissue 50 tumor samples were analyzed. As control samples, 3 pools of normal tissue (10 normal samples for each pool ) were used.
Project description:MicroRNA (miRNA/miR) miR526b and miR655 overexpressed tumor cell-free secretions promote breast cancer phenotypes in the tumor microenvironment (TME). However, the mechanisms of miRNA regulating TME have never been investigated. With mass spectrometry analysis of MCF7-miRNA-overexpressed versus miRNA-low MCF7-Mock tumor cell secretomes, we identified 34 novel secretory proteins coded by eight genes YWHAB, TXNDC12, MYL6B, SFN, FN1, PSMB6, PRDX4, and PEA15 those are differentially regulated. We used bioinformatic tools and systems biology approaches to identify these markers’ role in breast cancer. Gene ontology analysis showed that the top functions are related to apoptosis, oxidative stress, membrane transport, and motility, supporting miRNA-induced phenotypes. These secretory markers expression is high in breast tumors, and a strong positive correlation exists between upregulated markers’ mRNA expressions with miRNA cluster expression in luminal A breast tumors. Gene expression of secretome markers is higher in tumor tissues compared to normal samples, and immunohistochemistry data supported gene expression data. Moreover, both up and downregulated marker expressions are associated with breast cancer patient survival. miRNA regulates these marker protein expressions by targeting transcription factors of these genes. Premature miRNA (pri-miR526b and pri-miR655) are established breast cancer blood biomarkers. Here we report novel secretory markers upregulated by miR526b and miR655 (YWHAB, MYL6B, PSMB6, and PEA15) are significantly upregulated in breast cancer patients’ plasma, and are potential breast cancer biomarkers.
Project description:We select 3 pairs of tissue samples, including 3 breast tissues and 3 adjacent tissues, and then perform miRNA chip detection to find differential miRNAs. We used microarrays to identify differential expressed miRNAs in breast cancer and paired normal breast tissue
Project description:To discriminate miRNA expression differences between adjacent normal and tumor tissues of breast cancer. 101 breast tumor + 15 adjacent breast normal tissue samples.
Project description:RNA was isolated from FFPE tissue sections and expression profile of miRNAs determined by hybridization to Affymetrix GeneChip miRNA 4.0 Array Both normal and cancer samples were used. Normal cases included cosmetic reduction mammoplasties (the only true normal tissue) and tissues with some morphological abnormalities. Some benign, non-cancer, cases were also included. Breast cancer cases included invaive ductal and lobullar carcinomas as well as metaplastic breast cancer
Project description:Aberrant DNA methylation is frequently observed in cancer. The aim of the study was to determine how is DNA methylation of miRNA genes changed in breast cancer cell lines an breast tumor specimens. Breast cancer cell lines vs. HMEC. Breast tumor tissue specimens vs. non-tumor tissue specimens. Biological replicates: 12 breast tumor specimens, 5 breast non-tumor specimens, 7 breast cancer cell lines, 3 HMEC genotypes, 3 HMF genotypes. Immunoprecipitation using anti-Methylcytosine (5MeC) antibody.