scholarly journals A population-based study of ethnicity and breast cancer stage at diagnosis in Ontario

2015 ◽  
Vol 22 (2) ◽  
pp. 97 ◽  
Author(s):  
O.M. Ginsburg ◽  
H.D. Fischer ◽  
B.R. Shah ◽  
L. Lipscombe ◽  
L. Fu ◽  
...  

BackgroundBreast cancer stage at diagnosis is an important predictor of survival. Our goal was to compare breast cancer stage at diagnosis (by American Joint Committee on Cancer criteria) in Chinese and South Asian women with stage at diagnosis in the remaining general population in Ontario.MethodsWe used the Ontario population-based cancer registry to identify all women diagnosed with breast cancer during 2005–2010, and we applied a validated surname algorithm to identify South Asian and Chinese women. We used logistic regression to compare, for Chinese or South Asian women and for the remaining general population, the frequency of diagnoses at stage ii compared with stage i and stages ii–iv compared with stage i.ResultsThe registry search identified 1304 Chinese women, 705 South Asian women, and 39,287 women in the remaining general population. The Chinese and South Asian populations were younger than the remaining population (mean: 54, 57, and 61 years respectively). Adjusted for age, South Asian women were more often diagnosed with breast cancer at stage ii than at stage i [odds ratio (or): 1.28; 95% confidence interval (ci): 1.08 to 1.51] or at stages ii-iv than at stage i (or: 1.27; 95% ci: 1.08 to 1.48); Chinese women were less likely to be diagnosed at stage ii than at stage i (or: 0.82; 95% ci: 0.72 to 0.92) or at stages ii-iv than at stage i (or: 0.73; 95% ci: 0.65 to 0.82).ConclusionsBreast cancers were diagnosed at a later stage in South Asian women and at an earlier stage in Chinese women than in the remaining population. A more detailed analysis of ethnocultural factors influencing breast screening uptake, retention, and care-seeking behavior might be needed to help inform and evaluate tailored health promotion activities.

2014 ◽  
Vol 12 (2) ◽  
pp. e229-e233 ◽  
Author(s):  
Jananie C Perera ◽  
Vimukthini Peiris ◽  
Dakshitha P Wickramasinghe ◽  
Ishan De Zoysa

2012 ◽  
Vol 38 (5) ◽  
pp. 463 ◽  
Author(s):  
Anne Stotter ◽  
Olive Kearins ◽  
Jacqui Jenkins ◽  
Adrienne Catcheside ◽  
Hanna Blackledge ◽  
...  

2003 ◽  
Vol 89 (3) ◽  
pp. 508-512 ◽  
Author(s):  
I dos Santos Silva ◽  
P Mangtani ◽  
B L De Stavola ◽  
J Bell ◽  
M Quinn ◽  
...  

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Thangarajan Rajkumar ◽  
Sathyanarayanan Amritha ◽  
Veluswami Sridevi ◽  
Gopisetty Gopal ◽  
Kesavan Sabitha ◽  
...  

AbstractBreast cancer is the most common malignancy among women globally. Development of a reliable plasma biomarker panel might serve as a non-invasive and cost-effective means for population-based screening of the disease. Transcriptomic profiling of breast tumour, paired normal and apparently normal tissues, followed by validation of the shortlisted genes using TaqMan® Low density arrays and Quantitative real-time PCR was performed in South Asian women. Fifteen candidate protein markers and 3 candidate epigenetic markers were validated first in primary breast tumours and then in plasma samples of cases [N = 202 invasive, 16 DCIS] and controls [N = 203 healthy, 37 benign] using antibody array and methylation specific PCR. Diagnostic efficiency of single and combined markers was assessed. Combination of 6 protein markers (Adipsin, Leptin, Syndecan-1, Basic fibroblast growth factor, Interleukin 17B and Dickopff-3) resulted in 65% sensitivity and 80% specificity in detecting breast cancer. Multivariate diagnostic analysis of methylation status of SOSTDC1, DACT2, WIF1 showed 100% sensitivity and up to 91% specificity in discriminating BC from benign and controls. Hence, combination of SOSTDC1, DACT2 and WIF1 was effective in differentiating breast cancer [non-invasive and invasive] from benign diseases of the breast and healthy individuals and could help as a complementary diagnostic tool for breast cancer.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A354-A354
Author(s):  
Lynn Guo ◽  
Nancy P Gordon ◽  
Malini Chandra ◽  
Olumayowa M Dayo ◽  
Joan Chia-Mei Lo

Abstract Background: Previous studies demonstrate that aggregation of Asian ethnic subgroups masks variation in the prevalence of diabetes (DM) across these groups. Population data also suggest that Asian ethnic differences exist in the prevalence of diagnosed polycystic ovary syndrome (PCOS), but few studies have compared the risk of PCOS and DM in the same Asian subgroups, accounting for differences in BMI. We previously found that the prevalence of PCOS based on ≥1 diagnosis ranged from 1.6–1.9% in White, Hispanic, and Black women and 1.2%, 1.7%, and 3.5% for Chinese, Filipina, and South Asian women age 21–44 years. In this study, we further examined and compared the risk of clinical PCOS and clinical DM by weight status in these Asian subgroups. METHODS: Using data from women receiving care in a large integrated healthcare system, we conducted a cross-sectional, retrospective study of 19,848 Chinese, 23,890 Filipina, and 19,905 South Asian women aged 21–44 years who had ≥1 clinic visit in 2016. Ethnicity was based on data from the electronic health record (EHR), and those identified in the EHR as Asian with unspecified ethnicity were assigned as Chinese, Filipina, and South Asian based on algorithms that included primary language and surname. BMI was calculated from non-gestational height and weight and classified as healthy, overweight (23 to <27.5), or obese (≥27.5 kg/m2) using Asian BMI thresholds. Clinical PCOS was defined by ≥2 ambulatory PCOS diagnoses (ICD-9 256.4, ICD-10 E28.2) in 2015–2016 and clinical DM by ≥2 ambulatory DM diagnoses (ICD-9 250, ICD-10 E10-11,13) in 2015–2016 and history of DM pharmacotherapy. Multivariable logistic regression was used to produce adjusted odds ratios (aOR) for PCOS and DM comparing Filipina and South Asian to Chinese women after adjusting for age and weight status. Results: Among Chinese, Filipina, and South Asian women, respectively, prevalence of PCOS was 1.0%, 1.5%, and 3.2%, prevalence of DM was 1.2%, 4.2%, and 2.5%, and prevalence of obesity was 15.6%, 38.5%, and 30.1%. The prevalence of obesity was high in women with PCOS (58.9%) and women with diabetes (70.0%). South Asian women had a 2.5-fold higher adjusted odds of PCOS than Chinese women (95% CI 2.1–3.0), with no difference for Filipina versus Chinese women (aOR 1.0, 95% CI 0.8–1.2). In contrast, South Asian (aOR 1.5, 95% CI 1.3–1.8) and Filipina women (aOR 2.2, 95% CI 1.9–2.6) had higher adjusted odds of DM than Chinese women. Conclusion: Despite the known metabolic association of PCOS and insulin resistance, we found that the risk profiles of PCOS and DM differed by Asian ethnicity, with risk of PCOS highest in South Asian women and risk of DM highest in Filipina women. While our analyses were limited to women with BMI assessed at a clinical visit and not a screened population, the differential risk of PCOS and DM in Asian subgroups and higher burden of PCOS in South Asian women, independent of BMI, warrant further study.


2004 ◽  
Vol 15 (8) ◽  
pp. 805-818 ◽  
Author(s):  
Isabel dos Santos Silva ◽  
Punam Mangtani ◽  
Valerie McCormack ◽  
Dee Bhakta ◽  
Anthony J McMichael ◽  
...  

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