The prognostic impact of age in different molecular subtypes of breast cancer: a population-based study
| العنوان: | The prognostic impact of age in different molecular subtypes of breast cancer: a population-based study |
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| المؤلفون: | Dongjun Dai, Zhuo Wang, Yiming Zhong, Neelum Aziz Yousafzai, Hongchuan Jin, Xian Wang |
| المصدر: | PeerJ, Vol 7, p e7252 (2019) PeerJ |
| بيانات النشر: | PeerJ Inc., 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Oncology, medicine.medical_specialty, Bioinformatics, Epidemiology, lcsh:Medicine, General Biochemistry, Genetics and Molecular Biology, Molecular subtype, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Age, Internal medicine, medicine, Triple negative breast cancer, Risk factor, Triple-negative breast cancer, 030304 developmental biology, Breast cancer specific survival, 0303 health sciences, business.industry, General Neuroscience, lcsh:R, General Medicine, medicine.disease, Prognosis, Sample size determination, Hormone receptor, Competing risk model, 030220 oncology & carcinogenesis, Cohort, General Agricultural and Biological Sciences, business |
| الوصف: | Background The aim of current study was to use competing risk model to calculate the potential differences that age played in the prognosis of different breast cancer subtypes. Methods The cohort was selected from Surveillance, Epidemiology, and End Results (SEER) program. The cumulative incidences of death (CID) was assessed for breast cancer caused deaths and other causes of mortality. The multivariate Cox proportional hazards regression model and the multivariate subdistribution hazard (SH) model were used to evaluate the prognostic value of age in different breast cancer subtypes. Results We involved 33,968 breast cancer patients into our cohort. We found older patients had worse overall survival (OS) than young patients in hormone receptor positive and human epidermal growth factor receptor 2 positive breast cancer (HR+/HER2+) (≥40 vs. p p Conclusion Our research was currently the largest sample size study and the first competing risk model-based study on the prognostic association between age and different breast cancer subtypes. We found |
| اللغة: | English |
| تدمد: | 2167-8359 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ffcf5a760f8c3f7c55a5b06e8915b12Test https://peerj.com/articles/7252Test/ |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....8ffcf5a760f8c3f7c55a5b06e8915b12 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 21678359 |
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