CISN - The OMICS Revolution and Beyond - Personalized Medicine - pg 7
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Personalized Medicine - page 73. Diagnostic Tests: Diagnostic tests will play an ever more important role in personalized medicine. Cancer molecular diagnostics involves the measurement of DNA, RNA, proteins, or metabolites to detect a person's genetic makeup. Any changes in the DNA of a cell, or changes in chemical processes associated with it, may soon be used to determine the presence of cancer. The term companion diagnostic means that the particular diagnostic test under evaluation is specifically linked to a known therapeutic drug. This linkage could be important in the therapeutic application and clinical outcome of a drug (personalized medicine).
While the traditional pathological examination of cancer remains an essential clinical tool, newer technologies such as microarrays, RT-PCR, mass spectrometric proteomic analyses, and protein chips are moving to center stage, although not yet routinely used by all or in all cancer types. Well-designed, prospective clinical studies are needed to demonstrate that the diagnostic test results influence the patient's management such that clinical outcomes are improved. |
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However, the studies necessary to develop evidence of the value of these tests may be costly and lengthy, especially for tests used for cancer screening. This deters diagnostic companies from conducting such studies. A few examples of diagnostic tests now in use:
For more information on diagnostic tests go to: 4. Pharmacogenomic Testing: Dihydropyrimidine dehydrogenase test. The medication 5-fluorouracil (5-FU) is one of the most commonly used chemotherapy medications. Some people have a genetic variation that results in a decrease in the dihydropyrimidine dehydrogenase enzyme, which is responsible for breaking down 5-FU.
Knowing ahead of time who has this deficiency can help doctors tailor the medication dosage to prevent these kinds of dangerous adverse reactions. 5. Using Biomarkers A major challenge in development of cancer biomarkers will be the integration of proteomics with genomics and metabolomics data, as well as their interpretation with clinical data and epidemiology. It is also necessary to distinguish between the various types of biomarkers:
A few examples
Unfortunately, both tests may result in: False negatives - failure to detect cancer in those who have it (poor sensitivity), or False positives - a positive test result for the presence of cancer in people who are actually cancer-free (poor specificity).
For a table with 30 protein tumor
markers and where they are used, go to:
Human DNA may be 99.9% similar across the population but just like Zebras, that remaining .1% allows us to each display our individual "stripe". |



