scholarly journals MammaPrint risk score distribution in South African breast cancer patients with the pathogenic BRCA2 c.7934delG founder variant: towards application of genomic medicine at the point-of-care

The Breast ◽  
2021 ◽  
Vol 56 ◽  
pp. S31
Author(s):  
I. Mampunye ◽  
K.A. Grant ◽  
A.V. Peeters ◽  
R. Torrorey-Sawe ◽  
D.J. French ◽  
...  
Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Zachary Brumberger ◽  
Mary Branch ◽  
Joseph Rigdon ◽  
Suji Vasu

Introduction: Cardiotoxicity is a well-known risk in breast cancer patients treated with anthracyclines and trastuzumab. Ezaz et al. developed a clinical risk score (CRS) to risk stratify these patients. Despite evidence that African American (AA) race is a significant risk factor for cardiotoxicity, no study has assessed the impact of AA race on this CRS. Here we assess the discrimination ability of the Ezaz et al. CRS with the addition of AA race. Methods: This is a retrospective cohort utilizing a registry of 118 patients with stage I-IV breast cancer treated with anthracyclines and/or trastuzumab. Patients without baseline echocardiography data or with baseline LVEF < 50% were excluded. The CRS from Ezaz et al. consisting of age, adjuvant chemotherapy, coronary artery disease, atrial fibrillation or flutter, diabetes mellitus, hypertension, and renal failure was calculated with the addition of AA race. Cardiotoxicity was defined by an LVEF decline of ≥ 10% to LVEF < 53% from baseline. Results: In our 118 patient cohort, the mean age was 59 years, 23 (20%) AA patients, 65 (55%) patients considered low risk (scores of 0-3) and 53 (45%) considered moderate to high risk (scores ≥4). After a follow up of 3 months to 5 years, 14 (12%) patients developed cardiotoxicity. Table 1 lists the CRS changes in statistical characteristics and predictability with the addition of AA race. In comparing the models, the AUC c-statistic increased from 0.609 to 0.642 (95% CI 0.47-0.75, 95% CI 0.49-0.79 respectively; P value = 0.56) with the addition of AA race ( Figure 1 ). Conclusions: In this study, the Ezaz et al. CRS demonstrated improved discrimination and sensitivity with the addition of AA race. This study suggests AA race improves the predictive ability of the Ezaz et al. CRS. Given the limited size of our study, we promote that this should be hypothesis-driving and encourage further investigation on the path to develop an important risk stratification tool.


2021 ◽  
Vol 16 ◽  
Author(s):  
Dongqing Su ◽  
Qianzi Lu ◽  
Yi Pan ◽  
Yao Yu ◽  
Shiyuan Wang ◽  
...  

Background: Breast cancer has plagued women for many years and caused many deaths around the world. Method: In this study, based on the weighted correlation network analysis, univariate Cox regression analysis and least absolute shrinkage and selection operator, 12 immune-related genes were selected to construct the risk score for breast cancer patients. The multivariable Cox regression analysis, gene set enrichment analysis and nomogram were also conducted in this study. Results: Good results were obtained in the survival analysis, enrichment analysis, multivariable Cox regression analysis and immune-related feature analysis. When the risk score model was applied in 22 breast cancer cohorts, the univariate Cox regression analysis demonstrated that the risk score model was significantly associated with overall survival in most of the breast cancer cohorts. Conclusion: Based on these results, we could conclude that the proposed risk score model may be a promising method, and may improve the treatment stratification of breast cancer patients in the future work.


Author(s):  
Kamil Lupicki ◽  
Selene Elifio-Esposito ◽  
Aline S. Fonseca ◽  
Akanksha Mahajan ◽  
Silma R. Pereira ◽  
...  

The Breast ◽  
2019 ◽  
Vol 44 ◽  
pp. S36
Author(s):  
A. Okunola ◽  
R. Torrorey-Sawe ◽  
K.J. Baatjes ◽  
A.E. Zemlin ◽  
R.T. Erasmus ◽  
...  

2016 ◽  
Vol 157 (3) ◽  
pp. 511-516 ◽  
Author(s):  
R. Lewin ◽  
A. Sulkes ◽  
T. Shochat ◽  
D. Tsoref ◽  
S. Rizel ◽  
...  

The Breast ◽  
2017 ◽  
Vol 32 ◽  
pp. S22-S23
Author(s):  
K. Baatjes ◽  
S. Santhia ◽  
A. Peeters ◽  
M. Mccaul ◽  
M. Kotze

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