Distribution of Serum Tumor Markers for Testicular Cancer across Racial/Ethnic Groups from 2004 to 2007 in the United States Público
Hosten, Tiffany Alexis (2011)
Abstract
Distribution of Serum Tumor Markers for Testicular Cancer across
Racial/Ethnic Groups from 2004 to 2007 in the United States
By Tiffany Hosten
Objective: While the incidence of testicular
cancer is lower among Non-Hispanic Black men
compared to U.S. men of other races and ethnicities, Black
testicular cancer patients have poorer
survival. Social factors may account for this observed disparity in
outcome, however, biological
tumor characteristics including levels of prognostic testicular
tumor markers such as alpha
fetoprotein (AFP), human chorionic gonadotropin (hCG), and lactate
dehydrogenase (LDH) have
not previously been compared across racial and ethnic groups on a
population level.
Methods: Using the
Surveillance, Epidemiology, and End Results (SEER) public-access
dataset
from 2004 through 2007, the distributions of tumor markers for
testicular cancer cases were
compared in three groups of patients: Non-Hispanic Whites,
Non-Hispanic Blacks, and
Hispanics. Association between elevated levels of each marker and
race/ethnicity was examined
using multivariate logistic regression models with results
expressed as adjusted odds ratios (ORs)
and 95% confidence intervals (CIs).
Results: We
found that Hispanics were more likely than Non-Hispanic Whites to
have elevated
LDH with OR (95% CI) 1.5 (1.2-1.8), while the corresponding result
for Blacks in comparison to
Whites was 1.5 (1.0-2.5). No difference in frequency of elevated
serum tumor marker levels was
observed across race/ethnicity for AFP and
hCG.
Conclusion: Racial/ethnic disparities in
testicular cancer survival are more likely to be explained
by the differences in early detection, access to care, care
utilization, and quality of care than by
the differences in biological tumor characteristics. Future studies
should explore tumor marker
distributions among additional racial groups and use SEER's new,
more uniformly coded site-
specific variables.
Table of Contents
Background and Literature Review
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1
Methods
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6
Results
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10
Discussion
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12
References
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15
Tables
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18
Table 1
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18
Table 2
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19
Table 3
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20
Table 4
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21
Figures and Figure Legends .................................................................................................... 22
Figure 1 ..................................................................................................................... 22
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