Literature DB >> 34842487

Overall and cancer-specific survival in patients with breast Paget disease: A population-based study.

Tingting Hu1, Zhiyuan Chen2, Meng Hou1, Kezhi Lin3.   

Abstract

Paget disease of the breast is an uncommon malignant tumor with an inferior outcome. Therefore, establishing nomograms to predict the survival outcomes of breast Paget disease patients is urgent. Clinicopathological and follow-up data of breast Paget disease patients diagnosed between 2010 and 2016 were retrieved through the Surveillance, Epidemiology, and End Result (SEER) database. The significant factors were screened out, and then those factors were utilized to build two valuable nomograms. The discriminative ability of nomograms was investigated using concordance-index (C-index), while the predictive accuracy and benefits were evaluated using calibration curves and decision curve analysis. Finally, a total of 417 breast Paget disease patients were enrolled. Tumor grade, histological type, American Joint Committee on Cancer (AJCC) stage, surgery, chemotherapy, and marital status were confirmed as independent overall survival (OS)-related factors; tumor grade, histological type, AJCC stage, and age were associated with independent cancer-specific survival (CSS)-related factors. The values of the C-index for OS nomogram acquired were 0.827 and 0.745 for training and validation cohorts, respectively. Meanwhile, the corresponding values of the C-index to CSS nomogram were 0.890 and 0.655, respectively. The calibration curves and decision curve analysis indicated that both nomograms had an excellent performance. Finally, the nomogram-based risk stratification system indicated that all breast Paget disease patients could be classified into low- and high-risk groups and showed distinct outcomes. In conclusion, two valuable nomograms incorporating various clinicopathological indicators were established for breast Paget disease patients. These prognostic nomograms provide accurate prognostic assessment for breast Paget disease patients and help clinicians select appropriate treatment strategies.

Entities:  

Keywords:  Paget disease; breast cancer; cancer-specific survival; nomogram; overall survival

Mesh:

Year:  2021        PMID: 34842487      PMCID: PMC8851527          DOI: 10.1177/15353702211056264

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  39 in total

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Review 2.  Paget's disease of the nipple.

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Journal:  Breast Cancer Res Treat       Date:  2013-08-09       Impact factor: 4.872

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Journal:  Ann Surg Oncol       Date:  2012-02-10       Impact factor: 5.344

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Journal:  JAMA       Date:  1987-12-04       Impact factor: 56.272

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Journal:  Breast Cancer Res Treat       Date:  1986       Impact factor: 4.872

7.  Patients with nipple-areola Paget's disease and underlying invasive breast carcinoma have very poor survival: a matched cohort study.

Authors:  Hong Ling; Xin Hu; Xiao-Li Xu; Zhe-Bin Liu; Zhi-Min Shao
Journal:  PLoS One       Date:  2013-04-19       Impact factor: 3.240

8.  Comparison of patterns and prognosis among distant metastatic breast cancer patients by age groups: a SEER population-based analysis.

Authors:  Meng-Ting Chen; He-Fen Sun; Yang Zhao; Wen-Yan Fu; Li-Peng Yang; Shui-Ping Gao; Liang-Dong Li; Hong-Lin Jiang; Wei Jin
Journal:  Sci Rep       Date:  2017-08-23       Impact factor: 4.379

Review 9.  Immunosenescence and Inflamm-Aging As Two Sides of the Same Coin: Friends or Foes?

Authors:  Tamas Fulop; Anis Larbi; Gilles Dupuis; Aurélie Le Page; Eric H Frost; Alan A Cohen; Jacek M Witkowski; Claudio Franceschi
Journal:  Front Immunol       Date:  2018-01-10       Impact factor: 7.561

10.  Immunohistochemistry of mammary Paget's disease. Cytokeratin 7, GATA3, and HER2 are sensitive markers.

Authors:  Shoukat A Arain; Maria Arafah; Emad M Said Raddaoui; Asma Tulba; Fatimah H Alkhawaja; Ahlam Al Shedoukhy
Journal:  Saudi Med J       Date:  2020-03       Impact factor: 1.484

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