Clinicopathological Characteristics and Survival Outcomes in Mammary Paget's Disease: a Retrospective Study Based on a Chinese Population

Author(s):  
Bo-yue Han ◽  
Xiao-li Xu ◽  
Xiu-zhi Zhu ◽  
Xiang-chen Han ◽  
Xin Hu ◽  
...  

Abstract Background: Mammary Paget's disease (PD) is a rare type of breast cancer. Most cases of PD is presented with underlying ductal carcinoma in situ (DCIS) or invasive breast carcinoma (IDC). This study aimed to investigate the clinicopathological characteristics and survival outcomes of PD patients. Materials and Methods: A total of 406 patients diagnosed with PD with IDC/DCIS at Fudan University Shanghai Cancer Center (FUSCC) were recruited as the PD group, 1218 patients diagnosed with IDC/DCIS alone during the same period were selected as the non-PD group, and the clinicopathological results of these two groups were compared. The Surveillance, Epidemiology, and End Results (SEER) database was used to investigate the clinicopathological features between PD and non-PD patients for validation. Then, a matched group study was performed to compare the survival of PD and non-PD patients.Results: Compared with the non-PD group, the PD group was much more likely to have larger (≥2 cm: 43.1% vs. 35.5%, P<0.001), less hormone receptor (HR)-positive (68.5% vs. 26.6%, P<0.001), more human epidermal growth factor receptor-2 (HER-2)-positive (70.7% vs. 27.5%, P<0.001) and higher Ki-67 proportion (51.5% vs. 42.5%, P<0.001) tumors. The HER-2 overexpression subtype accounted for the largest proportion in the PD-IDC group and the lowest proportion in the non-PD-IDC group (54% vs. 8%, P<0.01). Moreover, the PD group had significantly worse disease-free survival (DFS) than the non-PD group (5-year DFS: 91.8% vs. 97.3%, P=0.001), and the SEER database showed a similar trend. Univariate and multivariate Cox regression analyses demonstrated that PD was an independent poor-risk factor for breast cancer survival. Our matched study showed that the PD group had worse survival than the non-PD group after excluding age, HR, HER-2, tumor size and lymph node status.Conclusions: PD with IDC/DCIS is associated with more aggressive tumor characteristics and worse survival outcomes. More than half of PD breast cancers are of the HER-2 overexpression subtype. PD is an independent poor-risk factor for breast cancer survival.

2008 ◽  
Author(s):  
Alicia Beeghly-Fadiel ◽  
Nobuhiko Kataoka ◽  
Xiao-Ou Shu ◽  
Qiuyin Cai ◽  
Sandra Deming ◽  
...  

2020 ◽  
Vol 49 ◽  
pp. 76
Author(s):  
Y. Lu ◽  
A.W. Gehr ◽  
K. Narra ◽  
A. Lingam ◽  
B. Ghabach ◽  
...  

2018 ◽  
Vol 38 (1_suppl) ◽  
pp. 32S-43S ◽  
Author(s):  
Diego F. Munoz ◽  
Sylvia K. Plevritis

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.


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

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