Chapter 2 - University of British Columbia
Chapter 2 - University of British Columbia
Chapter 2 - University of British Columbia
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
can identify nearly three times as many genes when we can account for multiple types <strong>of</strong><br />
disruption as opposed to accounting for only a single type <strong>of</strong> alteration and (ii) the “And”<br />
(coupled multiple hits) concept where we identify genes which are targeted my multiple<br />
mechanisms in the sample and show that these genes can have significant biological and/or<br />
clinical relevance.<br />
6.1.2 Identification <strong>of</strong> a prevalent genetic alteration in lung adenocarcinoma<br />
Genetic and epigenetic alterations have been shown to be prominent in lung adenocarcinoma.<br />
Within genetic alterations, the majority <strong>of</strong> documented alterations have involved alterations in<br />
gene dosage, somatic mutation, and loss <strong>of</strong> heterozygosity (LOH) or allelic imbalance (whereby<br />
an allele or a portion <strong>of</strong> the allele is lost or gained in the tumor). In terms <strong>of</strong> allelic imbalance,<br />
the majority <strong>of</strong> the time this event is captured as a decrease or increase in gene dosage.<br />
However, there are also cases where allelic imbalance exists but there is no net change in gene<br />
dosage, termed copy neutral LOH or somatic uniparental disomy (UPD). <strong>Chapter</strong> 4 discusses<br />
the unexpected prevalence <strong>of</strong> UPD in the lung adenocarcinoma genome.<br />
Though previous studies were done using SNP arrays on lung adenocarcinoma tumors, the<br />
prevalence <strong>of</strong> UPD was likely underestimated due to a number <strong>of</strong> reasons. Amongst the<br />
reasons include the use <strong>of</strong> heterogeneous samples with high normal cell contamination due to<br />
lack <strong>of</strong> microdissection, lower resolution <strong>of</strong> alterations identifiable by previous SNP arrays, use<br />
<strong>of</strong> non patient-matched controls as reference and movement from call-based algorithms to<br />
algorithms which use allele specific copy number [3].<br />
In addition to the prevalence <strong>of</strong> UPD, the other key finding from this chapter is the presence <strong>of</strong><br />
frequent UPD at both known and novel oncogenes. While UPD has previously been shown to<br />
affect tumor suppressor genes such as RB1 [4], the association <strong>of</strong> UPD at oncogene loci has<br />
not been reported as <strong>of</strong>ten in solid tumors. Moreover, in the previous studies in hematological<br />
malignancies such as leukemias, lymphomas, or myeloid dysplastic syndromes, the observed<br />
164