“Omics” Enabled Technology: BriefIntroduction to
Biomarkers
Biomarkers are clinically relevant substances used as indicators of a
biologic state (Shaffer, 2006; DePrimo, 2007). Detection or concentration
change of abiomarker may indicate a particular disease state (e.g., the presence
of an antibody may indicate an infection), physiology, or toxicity. A change in
expression or state of a protein biomarker may correlate with the risk or
progression of a disease, with the susceptibility of the disease to a given
treatment, or the drug’s safety profile. Implemented in the form of a medical
device, a measured biomarker becomes an in vitro diagnostic tool (Williams et
al., 2006). While it is well beyond this chapter to provide a detailed
discussion of biomar-kers, it is important to note that omics technologies
including omics-enabled technologies such as micro-arrays are being developed
as clinical measuring devices for biomarkers. Biomarkers enable
character-ization of patient population undergoing clinical trials or drug
therapy, and accelerate drug development. Modern drug discovery often
simultaneously in-volves biomarker discovery and diagnostic develop-ment (Frank
and Hargreaves, 2003; Pien et al., 2005).
A “Theranostic” is a rapid diagnostic, possibly a microarray, measuring
a clinically significant biomar-ker, which may identify patients most likely to
benefit or be harmed by a new medication (Warner, 2004). Bundled with a new
drug (and likely developed in parallel with that drug), the theranostic’s
diagnosis of the requisite biomarker (e.g., the over-expression of the HER2
gene product in certain breast cancer patients) influences the physician’s
therapeutic deci-sions [i.e., prescribing the drug trastuzumab (Herceptin) for
HER2 receptor positive breast cancer patients]. Thus, the diagnostic and the
therapy are distinctly coupled ¼ theranostic. The theranostic
predicts clinical success of the drug. This example used to introduce the
concept of a theranostic, is possibly the best example of personalized
medicine, achieving the best medical outcomes by choosing treatments that work
well with a person’s genomic profile, or with certain characteristics.
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