If you encounter ANY problems with this, please write me at the email address below. Skip to content Welcome to the SUM Breast Cancer Cell Line Knowledge Base, aka SLKBase This resource is designed to help breast cancer researchers enhance the power of their research involving the SUM human breast cancer cell lines by giving them access to the variety of omics data sets that have been generated with these cell lines over the years, and to make sure that we are all up to date with the latest published data generated using one of more of the cell lines. This space is designed to be interactive, and my hope is to use this as a way to develop a virtual community of breast cancer researchers that will dramatically enhance the progress that we make in this important field of work. To help in the development of the community of scientists working with the SUM lines, please register when prompted.
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes
Breast Cancer Cell Line Classification and Its Relevance with Breast Tumor Subtyping
Michigan State University MSU investigators are putting computing power to good use by analyzing large volumes of genomic information, often referred to as big data, to determine better research models to fight the spread of breast cancer and test potential drugs. To date, few drugs can treat cancer metastasis and knowing which step could go wrong in the drug discovery process can be a shot in the dark. To determine which cell lines work as the best models, the research team performed an integrative analysis of data taken from genomic databases including The Cancer Genome Atlas, Cancer Cell Line Encyclopedia, Gene Expression Omnibus, and the Database of Genotypes and Phenotypes. Using this data, the researchers found substantial differences between lab-created breast cancer cell lines and actual advanced, or metastatic, breast cancer tumor samples.
Breast Cancer Cell Lines Get Big Data Assistance
The late s saw the development and creation of the National Cancer Institute NCI 60 human tumor cell line anticancer drug discovery project. The 60 created cell lines represent nine human cancers: breast, central nervous system, colon, kidney, leukemia, lung, melanoma, ovary, and prostate. Since its inception, the testing of anticancer drugs using the NCI panel has generated the most extensive cancer pharmacology database in the world.
Breast cancer cell lines have been widely used for breast cancer modelling which encompasses a panel of diseases with distinct phenotypical associations. Though cell lines provide unlimited homogenous materials for tumor studies and are relatively easy to culture, they are known to accumulate mutations duringthe initial establishment and subsequent series of cultivations. Thus, whether breast cancer cell line heterogeneity reflects that of carcinoma remains an important issue to resolve before drawing any reliable conclusion at the tumor level using cell lines.