By Dennis A. Wigle Ph.D., Igor Jurisica Ph.D. (auth.), Igor Jurisica PhD, Dennis A. Wigle MD, Bill Wong BSc, MBA (eds.)
Medical details technology calls for analytic instruments. this is often completed by means of constructing and assessing equipment and platforms for the purchase, processing, and interpretation of sufferer info, aided by way of medical discovery. Cancer Informatics in Post-Genomic Era presents either the required method and sensible details instruments.
Key demanding situations contain integrating examine and scientific care, sharing info, and developing partnerships inside of and throughout sectors of sufferer analysis and remedy.
Addressing very important medical questions in melanoma learn will take advantage of increasing computational biology.
The introduction of genomic and proteomic applied sciences has ushered forth the period of real medication. The promise of those advances is correct "personalized medication" the place therapy concepts might be separately adapted and enhance to beginning intervention ahead of seen signs seem.
Series editor comments:
"Cancer informatics has turn into a serious portion of smooth investigations. a mixture of system's biology and the value of knowledge units linked to melanoma study require subtle applied sciences to control the wide spectrum of collective wisdom. this article presents a complete overview of the sector offered by means of leaders within the discipline."
Steven T. Rosen, M.D.
Series Editor
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Additional info for Cancer Informatics in the Post Genomic Era: Toward Information-Based Medicine
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Xenograft tumors formed by established lung adenocarcinoma cell lines (A) and by primary xenograft lines (B). In Vivo Systems for Studying Cancer Dennis A. Wigle, Jiang Liu, and Michael Johnston Introduction Although the past few decades have seen great strides for cancer research, the molecular pathogenesis of most solid tumors from many tissue types remains largely undefined. Most of what we know about the molecular steps involved in cancer formation comes from defined genetic manipulations in the mouse and other model organisms.
Reprinted with permission from (Wigle, Keshavjee et al. 2005). The importance of distinguishing clinical versus pathologic staging is also worth noting. The TNM system was originally designed to provide a rapid, simple method for assigning prognosis to a specific tumor based on the T, N, and M parameters. For many tumors, these parameters can be imprecise depending on the technologies applied to their determination. To use NSCLC as an example, T or N stage determined by plain chest x-ray is clearly different and far less accurate than determination by CT or PET-based imaging.
Despite this obvious importance of the quality of study samples, there is surprisingly a paucity of standardized protocols for the proper collection, processing and storage of human tissue samples for banking purposes. Different types of molecules in tissue demonstrate various levels of stability. While RNA is notorious for rapid degradation by RNAse, the stability of RNA in biopsy or surgically resected tissues is largely undefined. Based on functional knowledge, it is expected that transcript encoding different classes of genes would demonstrate different half-lives, which would putatively influence their stability and decay rate after vascular devitalization.