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 can be completed via constructing and assessing tools and platforms for the purchase, processing, and interpretation of sufferer info, aided by way of clinical discovery. Cancer Informatics in Post-Genomic Era offers either the mandatory technique and functional info instruments.
Key demanding situations contain integrating learn and scientific care, sharing facts, and constructing partnerships inside and throughout sectors of sufferer prognosis and remedy.
Addressing very important scientific questions in melanoma study will take advantage of increasing computational biology.
The introduction of genomic and proteomic applied sciences has ushered forth the period of actual drugs. The promise of those advances is correct "personalized drugs" the place therapy concepts should be separately adapted and strengthen to beginning intervention prior to obvious indicators look.
Series editor comments:
"Cancer informatics has develop into a severe element of sleek investigations. a mixture of system's biology and the significance of knowledge units linked to melanoma examine require refined applied sciences to control the large spectrum of collective wisdom. this article presents a complete evaluate of the sphere provided by way of leaders within the discipline."
Steven T. Rosen, M.D.
Read Online or Download Cancer Informatics in the Post Genomic Era: Toward Information-Based Medicine PDF
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Extra resources for Cancer Informatics in the Post Genomic Era: Toward Information-Based Medicine
In contrast to subcutaneous implantation models, orthotopic models demonstrate that non-small cell lung cancer (NSCLC) cell lines implanted into the thoracic cavity of nude mice are almost always fatal (McLemore 1988). Orthotopic implantation appears to result in more aggressive tumor biology and shorter animal survival. This suggests that the local environment for in situ growth may reflect clinical reality more closely than heterotopic tumor implantation. An organ-specific site presumably provides tumor cells with the most appropriate milieu for studying local growth and metastasis.
Wang, Fu et al. 1992) has developed such a model by surgical implantation of human small cell lung cancer tissue to mouse lung via a left thoracotomy. Metastases were found in contralateral lung and mediastinal In Vivo Systems for Studying Cancer 37 lymph nodes. Progressive primary tumor growth and regional lymph node metastases are seen which closely resemble the original patient tumors histologically. Interestingly, one of these tumor lines developed contralateral lung metastasis in a fashion very similar to the patient from whom the tumor line originated.
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.