Each year, 51,200 people in the US are diagnosed with bladder cancer and 10,600 die of the disease. In addition to tumor invasiveness, metastatic state and nuclear grade, somatic alterations in tumor suppressor genes have been proposed as useful prognostic indicators in the treatment of bladder cancers. Studies are largely limited to clinical series, however, which may over-represent advanced lesions. Furthermore, polymorphisms in DNA repair genes may affect bladder cancer susceptibility and prognosis by compromising the normal repair of DNA lesions formed by exposure to DNA damaging agents. The overall goal of this research project is to investigate tumor markers, genetic factors, and environmental exposures that affect bladder cancer incidence and prognosis using data and samples collected through a large, population-based study of bladder cancer in New Hampshire. Specifically, the study will (1) examine whether DNA repair haplotype modifies bladder cancer incidence, (2) assess overall bladder cancer recurrence or survival rates by tumor stage / grade, and (3) evaluate the prognostic significance of a) constitutional genetic variation in the DNA repair pathway, b) environmental exposures such as smoking and arsenic, and c) the somatic markers: p53 expression and loss of heterozygosity (LOH) of chromosome 9q. This mentored molecular epidemiology research experience under the guidance of the epidemiologist, Dr. Margaret Karagas, (Principal Investigator of the parent case - control study) and molecular biologist, Dr. Joshua Hamilton is part of a training proposal that integrates formal coursework at Dartmouth Medical School. The Research Career Award will give Dr. Angeline Andrew the opportunity to develop her career in the clinical and molecular epidemiology of cancer, and integrate her background in molecular biology with new clinical epidemiology skills, enabling her to establish an independent translational research program. Building on an established investigation of her research mentors, Dr. Andrew's study of prognostic indicators will enable more accurate assessment of a tumor's aggressiveness, guide appropriate treatment options, and ultimately aid the reduction of bladder cancer mortality in the US.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Academic/Teacher Award (ATA) (K07)
Project #
3K07CA102327-05S1
Application #
7923435
Study Section
Subcommittee G - Education (NCI)
Program Officer
Perkins, Susan N
Project Start
2005-09-01
Project End
2011-08-31
Budget Start
2009-09-01
Budget End
2011-08-31
Support Year
5
Fiscal Year
2009
Total Cost
$104,710
Indirect Cost
Name
Dartmouth College
Department
Family Medicine
Type
Schools of Medicine
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
Andrew, Angeline S; Baron, John A; Butterly, Lynn F et al. (2017) Hyper-Methylated Loci Persisting from Sessile Serrated Polyps to Serrated Cancers. Int J Mol Sci 18:
Andrew, Angeline S; Marsit, Carmen J; Schned, Alan R et al. (2015) Expression of tumor suppressive microRNA-34a is associated with a reduced risk of bladder cancer recurrence. Int J Cancer 137:1158-66
Andrew, Angeline S; Gui, Jiang; Hu, Ting et al. (2015) Genetic polymorphisms modify bladder cancer recurrence and survival in a USA population-based prognostic study. BJU Int 115:238-47
Koestler, Devin C; Li, Jing; Baron, John A et al. (2014) Distinct patterns of DNA methylation in conventional adenomas involving the right and left colon. Mod Pathol 27:145-55
Wyszynski, Asaf; Tanyos, Sam A; Rees, Judy R et al. (2014) Body mass and smoking are modifiable risk factors for recurrent bladder cancer. Cancer 120:408-14
Sverrisson, Einar F; Zens, Michael S; Fei, Dennis Liang et al. (2014) Clinicopathological correlates of Gli1 expression in a population-based cohort of patients with newly diagnosed bladder cancer. Urol Oncol 32:539-45
Hu, Ting; Pan, Qinxin; Andrew, Angeline S et al. (2014) Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility. BioData Min 7:5
Pan, Qinxin; Hu, Ting; Malley, James D et al. (2014) A system-level pathway-phenotype association analysis using synthetic feature random forest. Genet Epidemiol 38:209-19
Sacerdote, Carlotta; Guarrera, Simonetta; Ricceri, Fulvio et al. (2013) Polymorphisms in the XRCC1 gene modify survival of bladder cancer patients treated with chemotherapy. Int J Cancer 133:2004-9
Su, Chengwei; Andrew, Angeline; Karagas, Margaret R et al. (2013) Using Bayesian networks to discover relations between genes, environment, and disease. BioData Min 6:6

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