scholarly journals Characteristics of metastasis and survival between male and female breast cancer with different molecular subtypes: A population‐based observational study

2021 ◽  
Author(s):  
Wentong Fang ◽  
Yue Huang ◽  
Xu Han ◽  
Jinghui Peng ◽  
Mingjie Zheng
Keyword(s):  
Breast Cancer ◽  
Observational Study ◽  
Molecular Subtypes ◽  
Population Based ◽  
Female Breast Cancer ◽  
Male And Female ◽  
Female Breast

scholarly journals Risk of Second Non-Breast Primary Cancer in Male and Female Breast Cancer Patients: A Population-Based Cohort Study

PLoS ONE ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e0148597 ◽  
Author(s):  
Man-Hsin Hung ◽  
Chia-Jen Liu ◽  
Chung-Jen Teng ◽  
Yu-Wen Hu ◽  
Chiu-Mei Yeh ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cohort Study ◽  
Cancer Patients ◽  
Population Based ◽  
Female Breast Cancer ◽  
Primary Cancer ◽  
Breast Cancer Patients ◽  
Male And Female ◽  
Female Breast

scholarly journals 165P Comparison of male and female breast cancer in reference hospital in Mexico

2021 ◽  
Vol 32 ◽  
pp. S90-S91
Author(s):  
G. Sanchez ◽  
A. Gutierrez ◽  
J.C. Jímenez ◽  
R. Correa ◽  
J.A. Alegría Baños ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Female Breast Cancer ◽  
Male And Female ◽  
Female Breast ◽  
Reference Hospital

scholarly journals Risk of major autoimmune diseases in female breast cancer patients: A nationwide, population-based cohort study

PLoS ONE ◽  
2019 ◽  
Vol 14 (9) ◽  
pp. e0222860 ◽  
Author(s):  
Hsin-Hua Chen ◽  
Ching-Heng Lin ◽  
Der-Yuan Chen ◽  
Wen-Cheng Chao ◽  
Yi-Hsing Chen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cohort Study ◽  
Autoimmune Diseases ◽  
Cancer Patients ◽  
Population Based ◽  
Female Breast Cancer ◽  
Breast Cancer Patients ◽  
Female Breast

scholarly journals Monitoring TNM stage of female breast cancer and survival across the South Australian population, with national and international TNM benchmarking: A population-based cohort study

BMJ Open ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. e037069
Author(s):  
Ming Li ◽  
David Roder ◽  
Katina D'Onise ◽  
David Walters ◽  
Gelareh Farshid ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Survival ◽  
Stage Iv ◽  
Sociodemographic Factors ◽  
Population Based ◽  
Female Breast Cancer ◽  
Socioeconomically Disadvantaged ◽  
Breast Cancer Death ◽  
Female Breast ◽  
Sociodemographic Predictors

ObjectiveUsing linked cancer registry and administrative data to monitor, tumour, node and metastases (TNM) stage and survival from female breast cancer in Australia.MethodAnalysis of 2000–2014 diagnoses with linked population-based data to investigate: (1) sociodemographic predictors of advanced stage (stages III and IV), using unadjusted and adjusted logistic regression; and (2) sociodemographic factors and stage as predictors of breast cancer survival using competing risk regression.DesignPopulation-based registry cohort.Setting and participants14 759 South Australian women diagnosed in 2000–2014.Primary and secondary outcome measuresStage and survival.ResultsAt diagnosis, 46% of women were classified as stage I, 39% as stage II, 12% as stage III and 4% as stage IV. After adjusting for sociodemographic factors, advanced stage was more common: (1) for ages <50 years; and although not statistically significant, for ages 80+ years; and (2) in women from socioeconomically disadvantaged areas. Compared with 2000–2004 diagnoses, stage and sociodemographic adjusted risks (sub-HRs (SHRs)) of breast cancer death were lower in 2005–2009 (SHR 0.75, 95% CI 0.67 to 0.83) and 2010–2015 (SHR 0.57, 95% CI 0.48 to 0.67). Compared with stage I, the SHR was 3.87 (95% CI 3.32 to 4.53) for stage II, 10.87 (95% CI 9.22 to 12.81) for stage III, and 41.97 (95% CI 34.78 to 50.65) for stage IV. Women aged 70+ years at diagnosis and those living in the most socioeconomically disadvantaged areas were at elevated risk of breast cancer death, independent of stage and sociodemographic factors.ConclusionsStage varied by age, diagnostic period and socioeconomic status, and was a stronger predictor of survival than other statistically significant sociodemographic predictors. Achieving earlier diagnosis outside the original BreastScreen target of 50–69 years (as applying <2014) and in residents of socioeconomically disadvantaged areas likely would increase cancer survival at a population level.

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