A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes.
By R. Neve, K. Chin, Jane Fridlyand, Jennifer E. Yeh, Frederick L. Baehner, T. Fevr, Laura Clark, Nora Bayani, Jean-Philippe Coppé, F. Tong and 17 more. Cancer Cell, 2006
3,249 citations recorded by the source corpus.
Subfields: Molecular Biology, Oncology
View Paper: https://www.semanticscholar.org/paper/fc5a21fb9045ba782049f266014c1abbaf5b3011
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In Molecular Biology
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Citations in the corpus
- Collective Invasion in Breast Cancer Requires a Conserved Basal Epithelial Program (2013, methodology): “We isolated organoids from primary tumor tissue obtained at initial breast surgery (n = 10; Figure 3F) using established protocols (Nguyen-Ngoc et al., 2012).”
- Latent bone metastasis in breast cancer tied to Src-dependent survival signals (2009, background): “MDA231 is a basal subtype, triple-negative (ER , PR , HER2 ) cell line (Neve et al., 2006).”
- Cancer-associated adipocytes exhibit an activated phenotype and contribute to breast cancer invasion. (2011, methodology): “1 and SUM159PT cell lines, the expression status of estrogen receptor (ER) a, E-cadherin, N-cadherin, and vimentin was confirmed by immunoblotting before they were used in the experiments (22).”
- Inferring causal molecular networks: empirical assessment through a community-based effort (2016, background): “These cell lines were chosen because they represent the major subtypes of breast cancer (basal, luminal, claudin-low and HER2-amplified) and are known to have different genomic aberrations 41–43 .”
- Global survey of phosphotyrosine signaling identifies oncogenic kinases in lung cancer. (2007, positive): “Analysis of recurrent chromosomal aberrations including amplification and deletion using CGH and SNP arrays promises to identify many additional genes altered in cancer (Chin et al., 2006; Neve et al., 2006).”
- GOBO: Gene Expression-Based Outcome for Breast Cancer Online (2011, neutral): “Currently, the precompiled data sets consist of gene expression data and annotation data for a pooled 1881-sample breast tumor set and 51 previously reported breast cancer cell lines [23].”
- Sequential Application of Anti-Cancer Drugs Enhances Cell Death by Re-wiring Apoptotic Signaling Networks (2012, neutral): “Because EGFR can be activated through a diverse set of genetic alterations, some of which do not necessarily include EGFR itself (Sun et al., 2011), these findings highlight the need to understand network connectivity and dynamics (Pawson and Linding, 2008).”
- Mapping Identifiers for the Integration of Genomic Datasets with the R/Bioconductor package biomaRt (2009, neutral): “R ') biocLite(c('biomaRt','affy','gplots','lattice')) Data As an example of how to use this protocol, in the procedure we use data produced from a panel of 51 breast cell line”
- Human breast cancer cell lines contain stem-like cells that self-renew, give rise to phenotypically diverse progeny and survive chemotherapy (2008, background): “Class 1 (luminal) includes the MCF7 and SUM225 lines that were mainly CD24+ and exhibit a more differentiated morphology and luminal cytokeratin expression, which is consistent with their luminal-type classification (Figure 1a; data not shown) [8,21].”
- Deconstructing the molecular portraits of breast cancer (2010, background): “Molecular identification of Claudin-low in vitro model systems Previous studies have shown that the genetic and transcriptional characteristics of breast tumors are present in cell lines (Neve et al., 2006; Chin et al., 2006).”
- A community effort to assess and improve drug sensitivity prediction algorithms (2014, background): “Comparisons have shown that cell lines mirror many aspects of the ‘omic’ diversity found in primary tumors 4,18,19 , suggesting that they can be used as a proxy for characterizing the response to therapeutic interventions.”
- Triple Negative Breast Cancer Cell Lines: One Tool in the Search for Better Treatment of Triple Negative Breast Cancer (2010, background): “Two groups have performed comparative genomic hybridization (CGH) on a large panel of breast cancer cell lines, including the TNBC cell lines [39, 40].”
- Tumor grafts derived from women with breast cancer authentically reflect tumor pathology, growth, metastasis and disease outcomes (2011, background): “This work revealed that (1) our current bank of tumor grafts, which is still growing, already comprises all major clinical types of breast cancer, and multiple molecular subtypes; (2) tumor grafts maintain critical features of the patient tumors including histology and pathology, clinical markers, g”