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Publikováno v:
BMC Systems Biology
Background The high degree of heterogeneity observed in breast cancers makes it very difficult to classify the cancer patients into distinct clinical subgroups and consequently limits the ability to devise effective therapeutic strategies. Several cl
Publikováno v:
BMC Systems Biology
Background A major problem in identifying the best therapeutic targets for cancer is the molecular heterogeneity of the disease. Cancer is often caused by an accumulation of mutations which produce irreversible damage to the cell’s control mechanis
Publikováno v:
BMC Systems Biology
Background Connectivity map (cMap) is a recent developed dataset and algorithm for uncovering and understanding the treatment effect of small molecules on different cancer cell lines. It is widely used but there are still remaining challenges for acc
Autor:
Ran Qi, Eric Xu, Kai Xing, Li Sheng, Dengyuan Wu, Donald E. Henson, Dechang Chen, Arnold M. Schwartz
Publikováno v:
BMC Systems Biology
Background The TNM staging system is based on three anatomic prognostic factors: Tumor, Lymph Node and Metastasis. However, cancer is no longer considered an anatomic disease. Therefore, the TNM should be expanded to accommodate new prognostic factor
Publikováno v:
BMC Systems Biology, Vol 5, Iss 1, p 138 (2011)
BMC Systems Biology
BMC Systems Biology, vol. 5, no. 1, pp. 138
BMC Systems Biology
BMC Systems Biology, vol. 5, no. 1, pp. 138
Background Many studies have been published outlining the global effects of 17β-estradiol (E2) on gene expression in human epithelial breast cancer derived MCF-7 cells. These studies show large variation in results, reporting between ~100 and ~1500
Publikováno v:
BMC Systems Biology, Vol 5, Iss Suppl 3, p S10 (2011)
BMC Systems Biology
BMC Systems Biology
Background Various gene-expression signatures for breast cancer are available for the prediction of clinical outcome. However due to small overlap between different signatures, it is challenging to integrate existing disjoint signatures to provide a