Project description:To determine the miRNAs’ roles in the tumorigenesis behavior of TNBC, we profiled the global miRNA expression in 2 highly aggressive TNBC cell lines (MDA-MB-231 and CAL-51) in comparison with that in 2 non-aggressive luminal-type breast cancer cell lines (ZR-75-1 and MCF-7).
Project description:miRNAs expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey. The experiments were with one color per patient, miRNAs expression profile is from a tumor sample of mexican patients with breast cancer.
Project description:Study investigating the role of miRNAs in breast cancer detection miRNA extracted from plasma on 20 breast cancer patients, 20 controls, 20 post-resection breast cancer patients and 10 lung/colorectal cancer patients, miRNA quanitification using Illumina microarray
Project description:miRNAs expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey.
Project description:The goal of this study is to determine the extracellular miRNAs associated with breast cancer metastasis to the brain. By combining the small RNA-seq data of patient sera and cell culture models, we are able to select breast cancer cell-derived miRNAs that are associated with brain metastasis for further functional study.
Project description:Breast cancer is a common disease with distinct tumor subtypes which can be phenotypically characterized by estrogen receptor, progesterone receptor and HER2/neu receptor status. MiRNAs play regulatory roles in tumor initiation and progression. Altered miRNA expression has been demonstrated in a variety of cancer states to date presenting the potential for exploitation as cancer specific biomarkers. Blood presents an attractive medium biomarker discovery. This study investigated systemic miRNAs differentially expressed in Luminal A (ER+PR+HER2/neu-) breast cancer and their effectiveness as oncologic biomarkers in the clinical setting. Blood samples were prospectively collected from consenting patients with Luminal A breast cancer (n=10) and controls (n=10). RNA was extracted, reverse transcribed and subjected to microarray analysis (n=10 Luminal A; n=10 Control). Differentially expressed miRNAs were identified by artificial neural network (ANN) data-mining algorithms.
Project description:By comparing the miRNA expression profiles of parental breast cancer cell and multidrug resistant breast cancer cells, we are trying to find out some miRNAs which are involved in the regulation of chemo-resistance in breast cancer cells.