Sample A: Cover Page of Thesis, Project, or Dissertation Proposal
Sample A: Cover Page of Thesis, Project, or Dissertation Proposal
Sample A: Cover Page of Thesis, Project, or Dissertation Proposal
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Kruppel-like fact<strong>or</strong> 5 (KLF5) has also been implicated in carcinogenesis pathways. In particular,<br />
it activates in response to DNA damage to induce apoptosis <strong>or</strong> DNA repair, through the p53<br />
dependent pathways [48]. Increased KLF5 expression accelerates G2/M phase transitions by<br />
activating cyclin B1 [49]. Similarly, PPP2R5C also participates in p53 activation after the<br />
induction <strong>of</strong> DNA damage, acting as a mitotic checkpoint to suppress cancer growth [50, 51].<br />
DNA damage activates ATM (ataxia telangiectasia mutated), which phosph<strong>or</strong>ylates p53 at Ser15.<br />
The phosph<strong>or</strong>ylation promotes the p53 and PPP2R5C interaction, thereby causing the<br />
dephosph<strong>or</strong>ylation <strong>of</strong> p53-Thr55 and cell cycle arrest [50, 51]. Both KLF5 and PPP2R5C have<br />
elevated levels <strong>of</strong> mRNA transcript in the squamous cells, which supp<strong>or</strong>ts the hypothesis that the<br />
squamous carcinomas have undergone DNA damage. Finally the TSC22D3, <strong>or</strong> GILZ, ProbeSet<br />
demonstrates significant up-regulation in the n<strong>or</strong>mal samples. This gene regulates a number <strong>of</strong><br />
cell functions, including cell proliferation, and has been identified has a tum<strong>or</strong> suppress<strong>or</strong> gene.<br />
Conclusion<br />
Cancer is a complex disease that can affect nearly every pattern <strong>of</strong> expression <strong>of</strong> a cells genes,<br />
depending on the stage. This obscures imp<strong>or</strong>tant mechanisms that discriminate the types <strong>of</strong><br />
disease and perhaps possible points <strong>of</strong> control. We have shown that by application <strong>of</strong> the BaFL<br />
cleansing routine, followed by straightf<strong>or</strong>ward machine learning methods f<strong>or</strong> down-selection<br />
criteria and clustering parameters, even very simple classification methods reveal a distinct<br />
picture <strong>of</strong> tum<strong>or</strong>ogenesis f<strong>or</strong> the Bhattacharjee NSCLC samples. While the complexity <strong>of</strong> the<br />
disease cannot be overstated, this picture is much simpler and amenable to straightf<strong>or</strong>ward assays<br />
f<strong>or</strong> confirmation. F<strong>or</strong> example, a significant prop<strong>or</strong>tion <strong>of</strong> the identified genes have been<br />
documented to have alternative transcripting events, oncogenic genomic amplification,<br />
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