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

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124 Applying Pharmacogenomics in Therapeutics

and variants of cancer susceptibility genes and/or loci, including high-penetrance

mutations, intermediate or moderate risk mutations, and low-penetrance variants

(LPVs). High-penetrance mutations usually result in dramatic alteration of the function

of the corresponding gene and are associated with a significantly increased

risk of related cancer. High-penetrance mutations usually result in autosomal-dominant

predispositions recognizable by pedigree analysis. There are also established

medical managements for such high-penetrance mutations. For example, endoscopy

and prophylactic colectomy are usually recommended for high-penetrance mutations

in APC with risk of colorectal adenocarcinoma. Intermediate or moderate

risk mutations refer to those that result in less dramatic increases in cancer risk:

for example, the APC p.I1307K mutation in colon cancer risk and the CHEK2

c.1100delC mutation in breast cancer. Unlike the high frequency of pharmacokinetic

or pharmacodynamic polymorphisms, high-penetrance and moderate-penetrance

mutations are rare or uncommon. Common in the context of cancer risk

testing refers to a frequency of 1% or more, by convention. The third type of variants

refers to LPVs that have been identified by large-scale GWASs. Compared

to the high-penetrance and moderate-penetrance mutations that usually result in

alteration of the function of the corresponding gene product, the LPVs are usually

SNPs that are strongly associated with cancer risk in large case–control studies,

without changes in the function of the relevant gene product. It is hypothesized

that these LPVs are located in close proximity to unidentified causative variants.

LPVs associated with cancer risk are common with allele frequencies as high as up

to 50% in the population studied, but they only confer a modest increase in cancer

risk, usually with per-allele odds ratio of <1.5. The examples of low-penetrance

SNPs include rs10505477 at 8q24 associated with risk for colon cancer and prostate

cancer with lifetime relative risk at 1.27 and 1.43, respectively (Haerian et al. 2014),

rs13281615 at 8q24 with lifetime relative risk at 1.21 for breast cancer (Gong et al.

2013), and rs1219648 at FGFR with lifetime relative risk at 1.23 for breast cancer

(Andersen et al. 2013). Unlike the high-penetrance mutations, the impact of LPVs

on clinical care is not proven, and the clinical validity for the genetic test on PLVs is

uncertain. Therefore, they are not currently considered as part of standard oncology

or preventive care (Robson et al. 2010).

Traditionally, cancer genetic testing is performed for the most likely genetic

causes based on the evaluation of family history and/or personal clinical history

such as disease histology and age at diagnosis. However, cancer susceptibility can

be very complicated because of the fact that a mutation in one particular gene may

increase risk for several types of cancers, or that the risk of one type of cancer may

be elevated by mutations in one of a group of different genes. For example, multiple

studies indicate that mutations in the CHEK2 gene confer an increased risk of developing

many types of cancer, including breast (Nevanlinna and Bartek 2006), prostate,

colon, thyroid, and kidney (Nevanlinna and Bartek 2006). On the other hand,

breast cancer risk can be increased by mutations in a number of different genes,

including BRCA1, BRCA2, ATM, CHEK2, CDH1, NF1, MUTYH, and genes involved

in the Fanconi anemia (FA)–BRCA pathway such as BARD1, BRIP1, MRE11A, NBN,

PALB2, RAD50, and RAD51C. Given this complexity, serial testing is time consuming

and expensive. Simultaneous testing of a panel of multiple cancer susceptibility

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