Prognostic Value of Breast Cancer Subtypes, Ki-67 Proliferation Index, Age, and Pathologic Tumor Characteristics on Breast Cancer Survival in Caucasian Women

2012 ◽  
Vol 19 (1) ◽  
pp. 22-30 ◽  
Author(s):  
N. Lynn Ferguson ◽  
John Bell ◽  
Robert Heidel ◽  
Solomon Lee ◽  
Stuart VanMeter ◽  
...  
2020 ◽  
Author(s):  
Lucie Laot ◽  
Enora Laas ◽  
Noemie Girard ◽  
Elise Dumas ◽  
Eric Daoud ◽  
...  

AbstractIntroductionThe three different breast cancer subtypes (Luminal, HER2-positive and triple negative (TNBCs) display different natural history and sensitivity to treatment, but little is known about whether residual axillary disease after neoadjuvant chemotherapy (NAC) carries a different prognostic value by BC subtype.MethodsWe retrospectively evaluated axillary involvement (0, 1 to 3 positive nodes, ≥ 4 positive nodes) on surgical specimens from a cohort of T1-T3NxM0 BC patients treated with NAC between 2002 and 2012. We analyzed the association between nodal involvement (ypN) binned into 3 classes (0; [1-3];4 or more), relapse-free survival (RFS) and overall survival (OS) among the global population, and according to BC subtypes.Results1197 patients were included in the analysis (luminal (n = 526, 43.9%), TNBCs (n = 376, 31.4%), HER2-positive BCs (n = 295, 24.6%)). After a median follow-up of 110.5 months, ypN was significantly associated with RFS, but this effect was different by BC subtype (Pinteraction= 0.004), and this effect was nonlinear. In the luminal subgroup, RFS was impaired in patients with 4 or more nodes involved (HR=2.8; 95% CI [1.93;4.06], p<0.001) when compared with ypN0, while it was not in patients with 1 to 3 nodes (HR=1.24, 95% CI = [0,86;1.79]). In patients with TNBC, both 1-3N+ and ≥ 4 N+ classes were associated with a decreased RFS (HR=3.19, 95%CI= [2.05; 4.98] and HR=4.83, 95%CI= [3.06; 7.63], respectively versus ypN0, p< 0.001). Similar decreased prognosis were observed among patients with HER2-positive BC (1-3N+: HR=2.7, 95%CI= [1.64; 4.43] and ≥ 4 N+: HR=2.69, 95%CI= [1.24; 5.8] respectively, p=0.003).ConclusionThe prognostic value of residual axillary disease should be considered differently in the 3 BC subtypes to accurately stratify patients with a high risk of recurrence after NAC who should be offered second line therapies.


2018 ◽  
Vol 24 (1) ◽  
pp. 9-14 ◽  
Author(s):  
Sangjung Park ◽  
Sunyoung Park ◽  
Jungho Kim ◽  
Sungwoo Ahn ◽  
Kwang Hwa Park ◽  
...  

2019 ◽  
Vol 178 (2) ◽  
pp. 451-458 ◽  
Author(s):  
Giuseppe Viale ◽  
Amy E. Hanlon Newell ◽  
Espen Walker ◽  
Greg Harlow ◽  
Isaac Bai ◽  
...  

2021 ◽  
Author(s):  
Toshiki Kazama ◽  
Taro Takahara ◽  
Thomas C. Kwee ◽  
Noriko Nakamura ◽  
Nobue Kumaki ◽  
...  

Abstract Purpose To correlate quantitative T1, T2, and proton density (PD) values from synthetic MRI with breast cancer subtypes. Methods Twenty-eight breast cancer patients underwent MRI of the breast including synthetic MRI. T1, T2, and PD values were correlated with Ki-67. T1, T2, and PD values were compared between estrogen receptor (ER) positive and ER negative cancers, and between Luminal A and Luminal B cancers. The effectiveness of T1, T2, and PD in differentiating the ER-negative from the ER-positive group and Luminal A from Luminal B cancers was evaluated using receiver operating characteristic analysis.Results Mean T2 relaxation of ER-negative cancers was significantly higher than that of ER-positive cancers (p < .05). The T1, T2, and PD values exhibited a strong positive correlation with Ki-67 (Pearson's r = 0.75, 0.69, and 0.60 respectively; p < .001). Among ER-positive cancers (n=23), T1, T2, and PD values of Luminal A cancers were significantly lower than those of Luminal B cancers (p < .05). The areas under the curve (AUCs) of T1, T2, and PD for discriminating ER-negative from ER-positive cancers were 0.74 (95% confidence interval (CI): 0.54-0.88), 0.87 (95% CI: 0.69-0.97), and 0.62 (95% CI: 0.42-0.79), respectively. The AUCs of T1, T2, and PD values for discriminating Luminal A from Luminal B cancers were 0.83 (95% CI: 0.61-0.95), 0.75 (95% CI: 0.52-0.90), and 0.75 (95% CI: 0.53-0.91), respectively.Conclusion Quantitative values from synthetic MRI significantly correlate with subtypes of invasive breast cancers and may classify subtypes with reasonably good accuracy.


2017 ◽  
Vol 6 (4) ◽  
pp. 503-509 ◽  
Author(s):  
Alejandro Yábar ◽  
Rosa Meléndez ◽  
Silvia Muñoz ◽  
Hugo Deneo ◽  
Jimena Freire ◽  
...  

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