The overall goal of Clinical Research Core B is to support the individual projects and the overall specific Aims proposed in this Program Project. This goal will be accomplished by providing long-term follow-up of an established cohort of patients who have Barrett?s esophagus in which longitudinal investigations of the development of esophageal cancer are conducted. The Seattle Barrett's Esophagus Program (the patient base for Core B) has an established cohort of 325 active participants who have Barrett's esophagus and who are in various stages of progression to cancer. These patients are in periodic endoscopic biopsy surveillance for detection of esophageal adenocarcinoma when it is early and curable with surgery. The lifetime risk of developing cancer in Barrett's esophagus is low, estimated to be in the range of 5-10 percent. However, the Seattle Barrett's Esophagus Program specializes in the surveillance of high-risk patients. More than 25 percent of the Program cohort has an estimated 5-year cancer risk of 28-59 percent and the Program gets regular referrals of these patients because it is difficult for them to be safely or practically managed in the community. Core B, therefore, consists of a substantial number of both high-risk and low-risk patients, providing a unique resource for the conduction of investigations of progression to cancer. Core B is essential to the Program Project. All data generated by the individual Projects can be linked directly to a specific endoscopy, biologic specimen or patient interview coordinated by Core B.
The specific Aims of Core B are: (1) To obtain longitudinal tissue samples from Barrett's epithelium for histologic diagnoses and coordinate the acquisition of the corresponding research biopsies, gastric fluid aspirates and blood samples from the Same patients for molecular biologic and epidemiologic investigations as proposed in Projects 1, 2, and 3; (2) To provide long-term follow-up of a large cohort of patients for molecular genetic investigations (Projects 1 and 3), the outcomes of which may result in novel endpoints for epidemiologic investigations (Project 2) and provide scientific rationale for chemopreventive therapies; (3) To continue to recruit new patients to the Program by referral from community gastroenterologists, thus, maintaining a large well-characterized cohort of patients for the investigations proposed in Projects 1, 2 and 3.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program Projects (P01)
Project #
1P01CA091955-01
Application #
6673161
Study Section
Subcommittee E - Prevention &Control (NCI)
Project Start
2002-08-16
Project End
2007-06-30
Budget Start
Budget End
Support Year
1
Fiscal Year
2002
Total Cost
Indirect Cost
Name
Fred Hutchinson Cancer Research Center
Department
Type
DUNS #
075524595
City
Seattle
State
WA
Country
United States
Zip Code
98109
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
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
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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