Prostate cancer disease characteristics for foreign-born South Asian men living in the United States

2013 ◽  
Vol 50 (3) ◽  
pp. 159 ◽  
Author(s):  
T Patel ◽  
CC Wambi ◽  
MD Inusa ◽  
M Menon ◽  
K Badani ◽  
...  
Societies ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. 87 ◽  
Author(s):  
Philip Yang ◽  
Maggie Bohm-Jordan

This study examines the patterns of interracial marriage and interethnic marriage among foreign-born Asians in the United States, using pooled data from the 2008–2012 American Community Surveys. Results show that the most dominant pattern of marriage among foreign-born Asians was still intra-ethnic marriage and that interracial marriage, especially with whites, rather than interethnic marriage among Asians, remained the dominant pattern of intermarriages. Out of all foreign-born Asian marriages, inter-Asian marriages stayed at only about 3%. Among all foreign-born Asian groups, Japanese were most likely to marry interracially and interethnically, while Asian Indians had the lowest rates of interracial marriage and interethnic marriage. Foreign-born Asian women were more likely to interracially marry, especially with whites, than foreign-born Asian men, but they were not much different from foreign-born Asian men in terms of their interethnic marriage rate. The findings have significant implications for intermarriage research, assimilation, and Asian American panethnicity.


2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 49-49
Author(s):  
Andrea Leith ◽  
Amanda Ribbands ◽  
Matthew Last ◽  
Alicia Gayle ◽  
Sarah Payne ◽  
...  

49 Background: In May 2020, Olaparib was approved for HRRm mCRPC post progression on abiraterone and enzalutamide, and rucaparib was approved for BRCAm mCPRC following progression on androgen receptor targeted inhibitors and prior taxane therapy for mCRPC. HRRm are associated with approximately 25% of mCRPC and may be derived from germline or somatic origin. Somatic and germline alterations can be detected by tumour testing, but to differentiate between these, independent germline testing is needed. This study examined real-world genomic/genetic testing (GT) patterns in patients (pts) diagnosed with mCRPC in the United States (US). Methods: Data were drawn from the Adelphi Prostate Cancer Disease Specific Programme; a point-in-time survey administered to oncologists (onc), urologists (uro) and surgeons (sur) between January and August 2020 in the US. Physicians (phys) completed an attitudinal survey and a patient record form for the next four to nine mCRPC pts seen. Study variables included patient demographics, clinical factors and GT patterns. HRRm testers were defined as phys who tested for HRRm. Pts were identified as positive, negative or unknown depending on the outcome of the HRRm test. Results: A total of 72 phys (69% onc/ 29% uro/ 1% sur; 40% academic vs. 60% community) reported on 346 mCRPC pts. 41% of phys were based in the Northeast, 24% Midwest, 23% South and 13% in the West region of the US. 65 phys (90%) reported having access to overall GT; of these 5% identified as having access to germline tests only, while 94% were able to test for germline and somatic mutations. Challenges to conducting GT overall were ‘cost per test’ (50%), ‘having to send out for the tests (within country)’ (25%), ‘inadequate sample available’ (25%) and ‘patient refusal’ (25%). GT was typically conducted at identification of castrate-resistance (52%), metastases (51%) and at initial diagnosis (49%). 72% of total phys were HRRm testers; for these, patient characteristics primarily driving HRRm testing included Ashkenazi Jewish heritage (63%) and ECOG of 2-4 (58%). Other common drivers were family history, young diagnosis age and hormone therapy failure (all 46%). 132 (38% of 326) mCRPC pts were tested for HRRm; 39% of tested pts were identified with a HRRm. Most common HRRm tested were BRCA1 (90%), BRCA2 (89%) and ATM (55%). Conclusions: In this study majority of US phys had access to GT, but testing was only performed in 38% of pts with mCRPC. The higher than expected % of pts identified with an HRRm suggest that molecular testing was prioritised in high risk populations, as identified by the phys. With the recent approval of olaparib and rucaparib, GT may become more routine in clinical practice to identify eligible pts. Broader testing may also depend on addressing other barriers to testing including cost and testing logistics/practicalities.


1995 ◽  
Vol 141 (8) ◽  
pp. 732-740 ◽  
Author(s):  
Alice S. Whittemore ◽  
Anna H. Wu ◽  
Laurence N. Kolonel ◽  
Esther M. John ◽  
Richard P. Gallagher ◽  
...  

2020 ◽  
Author(s):  
Justice Moses Kwaku Aheto ◽  
Ovie A. Utuama ◽  
Getachew A. Dagne

Abstract Background: Prostate cancer (CaP) cases are high in the United States. According to the American Cancer Society, there are an estimated number of 174,650 CaP new cases in 2019. The estimated number of deaths from CaP in 2019 is 31,620, making CaP the second leading cause of cancer deaths among American men with lung cancer been the first. Our goal is to estimate and map prostate cancer relative risk, with the ultimate goal of identifying counties at higher risk where interventions and further research can be targeted.Method: The 2012-2016 Surveillance, Epidemiology, and End Results (SEER) Program data was used in this study. Analyses were conducted on 159 Georgia counties. The outcome variable is incident prostate cancer. We employed a Bayesian geospatial model to investigate both measured and unmeasured spatial risk factors for prostate cancer. We visualised the risk of prostate cancer by mapping the predicted relative risk and exceedance probabilities. We finally developed interactive web-based maps to guide optimal policy formulation and intervention strategies.Results: Number of persons above age 65 years and below poverty, higher median family income, number of foreign born and unemployed were risk factors independently associated with prostate cancer risk in the non-spatial model. Except number of foreign born, all these risk factors were also significant in the spatial model with the same direction of effects. Substantial geographical variations in prostate cancer incidence were found in the study. The predicted mean relative risk was 1.20 with a range of 0.53 to 2.92. Individuals residing in Towns, Clay, Union, Putnam, Quitman, and Greene counties were at increased risk of prostate cancer incidence while those residing in Chattahoochee were at the lowest risk of prostate cancer incidence.Conclusion: Our results can be used as an effective tool in the identification of counties that require targeted interventions and further research by program managers and policy makers as part of an overall strategy in reducing the prostate cancer burden in Georgia State and the United States as a whole.


2009 ◽  
Vol 181 (4S) ◽  
pp. 168-168
Author(s):  
Janet L Colli ◽  
Michael Knox ◽  
Douglass Clayton ◽  
Joshua Waits ◽  
Christopher L Amling

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Justice Moses K. Aheto ◽  
Ovie A. Utuama ◽  
Getachew A. Dagne

Abstract Background Prostate cancer (CaP) cases are high in the United States. According to the American Cancer Society, there are an estimated number of 174,650 CaP new cases in 2019. The estimated number of deaths from CaP in 2019 is 31,620, making CaP the second leading cause of cancer deaths among American men with lung cancer been the first. Our goal is to estimate and map prostate cancer relative risk, with the ultimate goal of identifying counties at higher risk where interventions and further research can be targeted. Methods The 2012–2016 Surveillance, Epidemiology, and End Results (SEER) Program data was used in this study. Analyses were conducted on 159 Georgia counties. The outcome variable is incident prostate cancer. We employed a Bayesian geospatial model to investigate both measured and unmeasured spatial risk factors for prostate cancer. We visualised the risk of prostate cancer by mapping the predicted relative risk and exceedance probabilities. We finally developed interactive web-based maps to guide optimal policy formulation and intervention strategies. Results Number of persons above age 65 years and below poverty, higher median family income, number of foreign born and unemployed were risk factors independently associated with prostate cancer risk in the non-spatial model. Except for the number of foreign born, all these risk factors were also significant in the spatial model with the same direction of effects. Substantial geographical variations in prostate cancer incidence were found in the study. The predicted mean relative risk was 1.20 with a range of 0.53 to 2.92. Individuals residing in Towns, Clay, Union, Putnam, Quitman, and Greene counties were at increased risk of prostate cancer incidence while those residing in Chattahoochee were at the lowest risk of prostate cancer incidence. Conclusion Our results can be used as an effective tool in the identification of counties that require targeted interventions and further research by program managers and policy makers as part of an overall strategy in reducing the prostate cancer burden in Georgia State and the United States as a whole.


2020 ◽  
Author(s):  
Justice Moses Kwaku Aheto ◽  
Ovie A. Utuama ◽  
Getachew A. Dagne

Abstract Background: Prostate cancer (CaP) cases are high in the United States. According to the American Cancer Society, there are an estimated number of 174,650 CaP new cases in 2019. The estimated number of deaths from CaP in 2019 is 31,620, making CaP the second leading cause of cancer deaths among American men with lung cancer been the first. Our goal is to estimate and map prostate cancer relative risk, with the ultimate goal of identifying counties at higher risk where interventions and further research can be targeted. Methods: The 2012-2016 Surveillance, Epidemiology, and End Results (SEER) Program data was used in this study. Analyses were conducted on 159 Georgia counties. The outcome variable is incident prostate cancer. We employed a Bayesian geospatial model to investigate both measured and unmeasured spatial risk factors for prostate cancer. We visualised the risk of prostate cancer by mapping the predicted relative risk and exceedance probabilities. We finally developed interactive web-based maps to guide optimal policy formulation and intervention strategies. Results: Number of persons above age 65 years and below poverty, higher median family income, number of foreign born and unemployed were risk factors independently associated with prostate cancer risk in the non-spatial model. Except for the number of foreign born, all these risk factors were also significant in the spatial model with the same direction of effects. Substantial geographical variations in prostate cancer incidence were found in the study. The predicted mean relative risk was 1.20 with a range of 0.53 to 2.92. Individuals residing in Towns, Clay, Union, Putnam, Quitman, and Greene counties were at increased risk of prostate cancer incidence while those residing in Chattahoochee were at the lowest risk of prostate cancer incidence.Conclusion: Our results can be used as an effective tool in the identification of counties that require targeted interventions and further research by program managers and policy makers as part of an overall strategy in reducing the prostate cancer burden in Georgia State and the United States as a whole.


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