التفاصيل البيبلوغرافية
| العنوان: |
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes |
| المؤلفون: |
Jane Fridlyand, Terence P. Speed, Anna Lapuk, Frank McCormick, Wen-Lin Kuo, Marc E. Lippman, Michael D. Johnson, Nicholas J. Wang, Nora Bayani, Joe W. Gray, Jennifer Yeh, Laura Clark, Koei Chin, Robert B. Dickson, Stephen P. Ethier, Sandy DeVries, Frances Tong, Donna G. Albertson, F. M. Waldman, Frederick L. Baehner, Jackie L. Stilwell, Adi F. Gazdar, Jean-Philippe Coppe, Tea Fevr, Daniel Pinkel, Richard M. Neve, Paul T. Spellman |
| المصدر: |
Cancer Cell. 10(6):515-527 |
| بيانات النشر: |
Elsevier BV, 2006. |
| سنة النشر: |
2006 |
| مصطلحات موضوعية: |
Cancer Research, Breast Neoplasms, Genomics, Biology, Article, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Trastuzumab, Cell Line, Tumor, medicine, Humans, skin and connective tissue diseases, 030304 developmental biology, Epigenomics, Regulation of gene expression, 0303 health sciences, Gene Expression Profiling, Cancer, Cell Biology, Claudin-Low, medicine.disease, Neoplasm Proteins, 3. Good health, Gene Expression Regulation, Neoplastic, Gene expression profiling, Oncology, 030220 oncology & carcinogenesis, Immunology, Cancer research, Female, medicine.drug |
| الوصف: |
Summary Recent studies suggest that thousands of genes may contribute to breast cancer pathophysiologies when deregulated by genomic or epigenomic events. Here, we describe a model ‘‘system’’ to appraise the functional contributions of these genes to breast cancer subsets. In general, the recurrent genomic and transcriptional characteristics of 51 breast cancer cell lines mirror those of 145 primary breast tumors, although some significant differences are documented. The cell lines that comprise the system also exhibit the substantial genomic, transcriptional, and biological heterogeneity found in primary tumors. We show, using Trastuzumab (Herceptin) monotherapy as an example, that the system can be used to identify molecular features that predict or indicate response to targeted therapies or other physiological perturbations. |
| تدمد: |
1535-6108 |
| DOI: |
10.1016/j.ccr.2006.10.008 |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a032f0fc5a81916c1da5c07f66d4457 |
| Rights: |
OPEN |
| رقم الانضمام: |
edsair.doi.dedup.....9a032f0fc5a81916c1da5c07f66d4457 |
| قاعدة البيانات: |
OpenAIRE |