This project proposes to perform high-throughput cancer mutation profiling on 500 non-small cell lung cancer (NSCLC) specimens from White and African-American populations, with a view to testing the hypothesis that common somatic cancer mutations vary in frequency as a function of race. Specimens of FFPE NSCLC will be obtained from the VA Cancer Tissue Repository and Database site. DNA will be extracted and run on an expanded OncoMap platform, using the Sequenom mass-spectrometric genotyping technology. We will compare the frequencies of cancer causing and cancer susceptibility mutations by race, SES, gender and smoking status, utilizing CanCORS clinical and survey data associated with the NSCLC specimens. Achieving these objectives should establish a basis for definitive research regarding the interplay of somatic genetic and social contextual factors that influence cancer outcomes across populations.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
1P50CA148596-01
Application #
7882826
Study Section
Special Emphasis Panel (ZCA1-SRLB-3 (J1))
Project Start
2010-05-01
Project End
2015-04-30
Budget Start
2010-05-01
Budget End
2011-04-30
Support Year
1
Fiscal Year
2010
Total Cost
$210,899
Indirect Cost
Name
Harvard University
Department
Type
DUNS #
149617367
City
Boston
State
MA
Country
United States
Zip Code
02115
Hayashi, Hana; Tan, Andy; Kawachi, Ichiro et al. (2018) Does Segmentation Really Work? Effectiveness of Matched Graphic Health Warnings on Cigarette Packaging by Race, Gender and Chronic Disease Conditions on Cognitive Outcomes among Vulnerable Populations. J Health Commun :1-11
McCloud, Rachel Faulkenberry; Okechukwu, Cassandra; Sorensen, Glorian et al. (2017) Cigarette graphic health warning labels and information avoidance among individuals from low socioeconomic position in the U.S. Cancer Causes Control 28:351-360
Levy, Douglas E; Klinger, Elissa V; Linder, Jeffrey A et al. (2017) Cost-Effectiveness of a Health System-Based Smoking Cessation Program. Nicotine Tob Res 19:1508-1515
Ramanadhan, Shoba; Nagler, Rebekah H; McCloud, Rachel et al. (2017) Graphic health warnings as activators of social networks: A field experiment among individuals of low socioeconomic position. Soc Sci Med 175:219-227
Campbell, Joshua D; Lathan, Christopher; Sholl, Lynette et al. (2017) Comparison of Prevalence and Types of Mutations in Lung Cancers Among Black and White Populations. JAMA Oncol 3:801-809
Levy, Douglas E; Adams, Inez F; Adamkiewicz, Gary (2017) Delivering on the Promise of Smoke-Free Public Housing. Am J Public Health 107:380-383
Hohl, Sarah D; Thompson, Beti; Krok-Schoen, Jessica L et al. (2016) Characterizing Community Health Workers on Research Teams: Results From the Centers for Population Health and Health Disparities. Am J Public Health 106:664-70
Lathan, Christopher S; Cronin, Angel; Tucker-Seeley, Reginald et al. (2016) Association of Financial Strain With Symptom Burden and Quality of Life for Patients With Lung or Colorectal Cancer. J Clin Oncol 34:1732-40
Bigman, Cabral A; Nagler, Rebekah H; Viswanath, K (2016) Representation, Exemplification, and Risk: Resonance of Tobacco Graphic Health Warnings Across Diverse Populations. Health Commun 31:974-87
Smith, Caren E; Fullerton, Stephanie M; Dookeran, Keith A et al. (2016) Using Genetic Technologies To Reduce, Rather Than Widen, Health Disparities. Health Aff (Millwood) 35:1367-73

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