By Jurisica I., Wigle D. (eds.)
Melanoma Informatics in Post-Genomic period presents either the mandatory technique and sensible info instruments for reading info within the box of scientific details technological know-how. This, after all, calls for analytic instruments. these instruments are garnered via constructing and assessing tools and structures for the purchase, processing, and interpretation of sufferer information, aided by means of clinical discovery. Key demanding situations during this box comprise integrating learn and scientific care, sharing information, and constructing partnerships inside of and throughout sectors of sufferer prognosis and remedy.
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Extra info for Cancer informatics in the post genomic era
Studies have shown that the molecular characteristics of both breast and lung cancer cell lines closely match their original human tumor (Gazdar, Kurvari et al. 1998; Wistuba, Bryant et al. 1999). From a phenotypic perspective, the H460 cell line does exhibit invasive and metastatic properties and maintains its drug sensitivity profile. However, other important characteristics, such as cytokine production or 40 Cancer Informatics in the Post Genomic Era patterns of gene expression, may be lost or muted through serial passaging.
2001; Meuwissen, Linn et al. 2001). The use of regulatory transgenic systems such as these is a valuable tool to identify targets for future drug development. One of the issues with a number of known oncogenes and/or tumor suppressors is that they are embryonic lethal when deleted in the mouse. As a consequence, the study of tissue specific pathways of tumorigenesis involving these genes is impossible. Although explored in only limited fashion to date, the potential of tissue specific deletions using the cre-loxP system has great potential for the dissection of tissue-specific tumor pathways.
The value of a model depends on its validity, selectivity, predictability, reproducibility and cost (Zubrod 1972; DeVita and Schein 1973). Initially, lung tumor xenografts were designed with the intention of permitting patient specific chemotherapy. By learning the drug responsiveness of a particular xenograft, treatment of the patient from whom the transplanted material originated could be individualized. Unfortunately, variations in take-rate, the weeks to several months required for the transplants to grow, and the expense of maintaining xenografts make this strategy generally untenable in the clinical setting.
Cancer informatics in the post genomic era by Jurisica I., Wigle D. (eds.)