In spite of abundant evidence from multiple laboratories that epigenetic and genetic develop duringneoplastic evolution in Barrett's esophagus, relationships among genetic and epigenetic alterations are stillpoorly understood, in part because many studies investigate only one or the other and in part because fewlongitudinal studies have been performed. Project 1 will use novel and innovative methods to assess theevolution of clones with genetic and epigenetic alterations to determine the extent to which they predictneoplastic progression in a longitudinal cohort study of 614 patients with Barrett's esophagus (BE) with ananticipated 52,167 person-months of follow-up. We hypothesize that i) epigenetic abnormalities arise asearly events in a limited number of CpG islands before widespread genomic instability; ii) earlychromosomal instability in BE progression is characterized by localized regions of LOH and copy numberchange involving a relatively small number of genes (p16, p18INKc, PI3KR3) that in combination with earlydifferential methylation of CpG islands in selected genes predispose to loss of TP53 and widespreadchromosomal instability that develops as a late event in progression and iii) NSAID use modulates earlyevolution of genetic and epigenetic alternations in BE. Project 1will compare the sensitivity and specificity ofa combined panel of epigenetic and genetic alterations to previously reported genetic (p16 LOH, TP53 LOH,tetraploidy, aneuploidy) and epigenetic (p16, RUNX3, HPP1) panels. Project 1 provides Project 2 with clonalgenetic (LOH, copy number change and DNA content abnormalities) and epigenetic (differential methylationof CpG islands) biomarkers, as well as assessmentof clonal evolutionary dynamics to determine the geneticand epigenetic stages of progression that are most closely associated with host and environmental risk andprotective factors. Project 1 also provides these measures to Project 3 to investigate the association ofgenetic instability biomakers (telomeres, fragile sites) with clonal evolution. Finally, Project 1 will developclinically compatible DNA biomarker platforms for our validated markers so that they can be used in othercenters and multicenter studies.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
2P01CA091955-06
Application #
7305719
Study Section
Special Emphasis Panel (ZCA1-RPRB-5 (S1))
Project Start
2007-07-01
Project End
2012-06-30
Budget Start
2007-07-01
Budget End
2008-06-30
Support Year
6
Fiscal Year
2007
Total Cost
$613,714
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
078200995
City
Seattle
State
WA
Country
United States
Zip Code
98109
Dong, Jing; Buas, Matthew F; Gharahkhani, Puya et al. (2018) Determining Risk of Barrett's Esophagus and Esophageal Adenocarcinoma Based on Epidemiologic Factors and Genetic Variants. Gastroenterology 154:1273-1281.e3
Chowell, Diego; Napier, James; Gupta, Rohan et al. (2018) Modeling the Subclonal Evolution of Cancer Cell Populations. Cancer Res 78:830-839
Barry, Peter; Vatsiou, Alexandra; Spiteri, Inmaculada et al. (2018) The Spatiotemporal Evolution of Lymph Node Spread in Early Breast Cancer. Clin Cancer Res 24:4763-4770
Dong, Jing; Levine, David M; Buas, Matthew F et al. (2018) Interactions Between Genetic Variants and Environmental Factors Affect Risk of Esophageal Adenocarcinoma and Barrett's Esophagus. Clin Gastroenterol Hepatol 16:1598-1606.e4
Xia, Li Charlie; Ai, Dongmei; Lee, Hojoon et al. (2018) SVEngine: an efficient and versatile simulator of genome structural variations with features of cancer clonal evolution. Gigascience 7:
Galipeau, Patricia C; Oman, Kenji M; Paulson, Thomas G et al. (2018) NSAID use and somatic exomic mutations in Barrett's esophagus. Genome Med 10:17
Martinez, Pierre; Mallo, Diego; Paulson, Thomas G et al. (2018) Evolution of Barrett's esophagus through space and time at single-crypt and whole-biopsy levels. Nat Commun 9:794
Maley, Carlo C; Aktipis, Athena; Graham, Trevor A et al. (2017) Classifying the evolutionary and ecological features of neoplasms. Nat Rev Cancer 17:605-619
Cheng, Yichen; Dai, James Y; Paulson, Thomas G et al. (2017) Quantification of Multiple Tumor Clones Using Gene Array and Sequencing Data. Ann Appl Stat 11:967-991
Reid, Brian J (2017) Genomics, Endoscopy, and Control of Gastroesophageal Cancers: A Perspective. Cell Mol Gastroenterol Hepatol 3:359-366

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