scholarly journals Multiple mediation analysis with survival outcomes: With an application to explore racial disparity in breast cancer survival

2018 ◽  
Vol 38 (3) ◽  
pp. 398-412 ◽  
Author(s):  
Qingzhao Yu ◽  
Xiaocheng Wu ◽  
Bin Li ◽  
Richard A. Scribner
Keyword(s):  
Breast Cancer ◽  
Mediation Analysis ◽  
Racial Disparity ◽  
Cancer Survival ◽  
Breast Cancer Survival ◽  
Survival Outcomes ◽  
Multiple Mediation ◽  
Multiple Mediation Analysis

Abstract C020: Regularized multiple mediation analysis for big data set—With an application to explore racial disparity in breast cancer survival

2020 ◽  
Author(s):  
Qingzhao Yu ◽  
Lu Zhang ◽  
Meichin Hsieh ◽  
Xiaocheng Wu ◽  
Richard A Scribner ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Big Data ◽  
Mediation Analysis ◽  
Racial Disparity ◽  
Cancer Survival ◽  
Breast Cancer Survival ◽  
Multiple Mediation ◽  
Data Set ◽  
Multiple Mediation Analysis

Abstract C098: Racial disparity in the prevalence of BCL-2 expression and associations with breast cancer survival in the Breast Cancer Care in Chicago study

2020 ◽  
Author(s):  
Jibril M. Alim ◽  
Kent Hoskins ◽  
Abeer M. Mahmoud ◽  
Virgilia Macias ◽  
Andre Kadjascy-Balla ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Racial Disparity ◽  
Cancer Care ◽  
Cancer Survival ◽  
Breast Cancer Survival ◽  
Breast Cancer Care

Comprehensive Analysis of Breast Cancer Survival Outcomes in a Public Safety-Net Hospital Compared with an Adjacent Academic Cancer Center

2019 ◽  
Vol 229 (4) ◽  
pp. S146-S147
Author(s):  
Kristin N. Kelly ◽  
Emily Ryon ◽  
Francis Igor B. Macedo ◽  
Dido Franceschi ◽  
Mecker Moller ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Public Safety ◽  
Cancer Survival ◽  
Safety Net ◽  
Comprehensive Analysis ◽  
Breast Cancer Survival ◽  
Cancer Center ◽  
Survival Outcomes ◽  
Safety Net Hospital

43 Effect of Nodal Status in Triple Negative Breast Cancer – Survival Outcomes From a Tertiary Center

2012 ◽  
Vol 48 ◽  
pp. S53
Author(s):  
E. Elias ◽  
D. Mukherji ◽  
W. Faraj ◽  
R. Alameddine ◽  
A. Saleh ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Cancer Survival ◽  
Breast Cancer Survival ◽  
Nodal Status ◽  
Survival Outcomes ◽  
Tertiary Center

scholarly journals Estimating Breast Cancer Survival by Molecular Subtype in the Absence of Screening and Adjuvant Treatment

2018 ◽  
Vol 38 (1_suppl) ◽  
pp. 32S-43S ◽  
Author(s):  
Diego F. Munoz ◽  
Sylvia K. Plevritis
Keyword(s):  
Breast Cancer ◽  
Adjuvant Treatment ◽  
Cancer Survival ◽  
Molecular Subtype ◽  
Breast Cancer Survival ◽  
Her2 Status ◽  
Survival Outcomes ◽  
Treatment Interventions ◽  
Molecular Subtyping ◽  
Incidence And Mortality

Background. As molecular subtyping of breast cancer influences clinical management, the evaluation of screening and adjuvant treatment interventions at the population level needs to account for molecular subtyping. Performing such analyses are challenging because molecular subtype-specific, long-term outcomes are not readily accessible; these markers were not historically recorded in tumor registries. We present a modeling approach to estimate historical survival outcomes by estrogen receptor (ER) and human epidermal growth factor receptor 2 (HER2) status. Method. Our approach leverages a simulation model of breast cancer outcomes and integrates data from two sources: the Surveillance Epidemiology and End Results (SEER) databases and the Breast Cancer Surveillance Consortium (BCSC). We not only produce ER- and HER2-specific estimates of breast cancer survival in the absence of screening and adjuvant treatment but we also estimate mean tumor volume doubling time (TVDT) and mean mammographic detection threshold by ER/HER2-status. Results. In general, we found that tumors with ER-negative and HER2-positive status are associated with more aggressive growth, have lower TVDTs, are harder to detect by mammography, and have worse survival outcomes in the absence of screening and adjuvant treatment. Our estimates have been used as inputs into model-based analyses that evaluate the effects of screening and adjuvant treatment interventions on population outcomes by ER and HER2 status developed by the Cancer Intervention and Surveillance Modeling Network (CISNET) Breast Cancer Working Group. In addition, our estimates enable a re-assessment of historical trends in breast cancer incidence and mortality in terms of contemporary molecular tumor characteristics. Conclusion. Our approach can be generalized beyond breast cancer and to more complex molecular profiles.

scholarly journals PRMT2 and RORγ Expression Are Associated With Breast Cancer Survival Outcomes

2014 ◽  
Vol 28 (7) ◽  
pp. 1166-1185 ◽  
Author(s):  
Tae Gyu Oh ◽  
Peter Bailey ◽  
Eloise Dray ◽  
Aaron G. Smith ◽  
Joel Goode ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Survival ◽  
Breast Cancer Survival ◽  
Survival Outcomes

scholarly journals Metastatic inflammatory breast cancer: survival outcomes and prognostic factors in the national, multicentric, and real-life French cohort (ESME)

ESMO Open ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 100220
Author(s):  
D. Dano ◽  
A. Lardy-Cleaud ◽  
A. Monneur ◽  
N. Quenel-Tueux ◽  
C. Levy ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Inflammatory Breast Cancer ◽  
Cancer Survival ◽  
Real Life ◽  
Breast Cancer Survival ◽  
Survival Outcomes ◽  
French Cohort
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