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Feng, Xiaodong_ Xie, Hong-Guang - Applying pharmacogenomics in therapeutics-CRC Press (2016)

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Applying Pharmacogenomics in Drug Discovery and Development

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The chromosomal rearrangement (a reciprocal translocation) that creates the

Philadelphia chromosome in CML patients results in the fusion of two genes, Bcr and

Abl, and this causes Abl to be expressed at much higher levels than usual. Imatinib

targets the Abl protein and is effective in 89% of CML patients as a first-line therapy

if they harbor this genetic alteration. 26 Genomic analyses have the ability to identify

many different types of genetic alterations compared to histological and/or cytological

analyses, and can be used for large-scale screenings; it is widely believed that genomic

analyses have the potential to dramatically increase our ability to develop new and

effective drugs.

TARGET VALIDATION

Once an association between a disease and a genetic alteration (the potential drug

target) has been identified, a next step is to determine whether or not the genetic

alteration is causative in the disease process. The majority of genetic alterations—in

particular, SNPs—are not causal in the disease process, or only make a minimal contribution,

and therefore the majority of genetic alterations that are identified as being

associated with a disease are highly unlikely to be useful drug targets (although they

may still be useful biomarkers). 27 A significant amount of money is often needed to

conduct these studies, and it can take years to generate enough evidence to warrant

subsequent development of a suitable drug for the target.

Typically target validation experiments include both cell line and animal experiments.

If cell lines were used to identify the genetic alteration, patient samples may

also be assessed at this point to ensure that the potential target is clinically relevant.

Cell lines and animal models can be genetically engineered to express a particular

genetic alteration (“knock-in” experiments). The impact of the genetic alteration on

disease pathogenesis can then be assessed to establish whether a cause-and-effect

relationship exists. Alternatively, anti-sense technologies can be employed. These

technologies allow for “knock-out” of a particular genetic alteration that is present

within a cell line or animal model, and can be used to determine whether elimination

of the genetic alteration can provide “rescue” and prevent disease initiation

and/or progression in cell lines and animal models with endogenous expression of

the genetic alteration.

Cell line studies typically focus on the impact of “knocking-in” or “knocking-out”

the genetic alteration of signaling pathways that are known to be associated with

the potential target, and on physiological processes that pertain to a particular cell

type and the disease of interest. For example, if a genetic alteration in a component

of the mTOR signaling pathway (a pathway that can impact cell proliferation and survival)

is found to be associated with prostate cancer, an investigator would assess the

expression and activity levels of multiple components of the mTOR pathway to help

establish whether the genetic alteration does impact cell signaling. They would also

assess the impact of “knocking-in” or “knocking-out” the genetic alteration on cell

proliferation and survival, physiological processes relevant to cancer cells. In addition

to establishing the cause-and-effect relationship, cell line experiments are relatively

fast and cheap to perform, whereas animal experiments are also necessary as they take

into account systemic effects similar to patients. As with cell line studies, the impact

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