Overall Survival in Patients with Mucinous Carcinoma of Breast: A Population-Based Study

被引:3
作者
Hu, Tingting [1 ]
Huang, Juanjuan [2 ]
Fang, Kun [3 ]
机构
[1] Wenzhou Med Univ, Affiliated Hosp 1, Dept Chemoradiat Oncol, Wenzhou 325000, Zhejiang, Peoples R China
[2] Wenzhou Med Univ, Wenzhou 325000, Zhejiang, Peoples R China
[3] Yinchuan Women & Childrens Hosp, Dept Surg, 56 Wenhua St, Yinchuan 750001, Ningxia, Peoples R China
关键词
mucinous carcinoma of the breast; breast cancer; prognosis; nomogram; PROGNOSTIC-FACTORS; CLINICAL-COURSE; CANCER; RECURRENCE; PURE;
D O I
10.2147/IJGM.S343137
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose: Mucinous carcinoma of the breast (MCB) is a rare malignant tumour. Therefore, it is urgent to establish a survival prediction model for MCB patients. Methods: Clinicopathological and follow-up data of MCB patients diagnosed between 2010 and 2015 were retrieved from the Surveillance, Epidemiology, and End Result (SEER) database. The significant factors were screened out and generated Kaplan-Meier (K-M) curves for each prognostic factor. Additionally, these factors were then utilized to build a nomogram for predicting 3-, 4-, and 5-year overall survival (OS) of MCB patients. The nomogram was evaluated using calibration curves, receiver operating characteristic (ROC) curves and decision curve analysis (DCA). Results: Moreover, a total of 4326 MCB patients were retrieved. Age, American Joint Committee on Cancer (AJCC) stage, surgery, radiotherapy and bone metastasis were identified as independently prognosis factors for OS. The corresponding areas under the ROC curves (AUCs) of the nomogram at 3, 4 and 5 years in the training and validation set were 0.770, 0.788, 0.805, 0.778, 0.797, and 0.802, respectively. The calibration curves and DCA revealed that the prediction model had an excellent performance. Finally, the risk stratification system confirmed that the powerful role of the nomogram in distinguishing results and risk stratification. Conclusion: Briefly, the nomogram incorporating various clinicopathological indicators was established for MCB patients and may facilitate clinical decision-making.
引用
收藏
页码:9991 / 10001
页数:11
相关论文
共 31 条
[1]   Giant Mucinous Carcinoma of the Breast [J].
Alothman, Sara ;
Saeed, Saqib ;
Khan, Khuram ;
Ramcharan, Alexius ;
DePaz, Hector .
CUREUS, 2018, 10 (11)
[2]   The Eighth Edition AJCC Cancer Staging Manual: Continuing to build a bridge from a population-based to a more "personalized" approach to cancer staging [J].
Amin, Mahul B. ;
Greene, Frederick L. ;
Edge, Stephen B. ;
Compton, Carolyn C. ;
Gershenwald, Jeffrey E. ;
Brookland, Robert K. ;
Meyer, Laura ;
Gress, Donna M. ;
Byrd, David R. ;
Winchester, David P. .
CA-A CANCER JOURNAL FOR CLINICIANS, 2017, 67 (02) :93-99
[3]   MUCINOUS CARCINOMA OF THE BREAST - A PATHOLOGICAL-STUDY OF 82 CASES [J].
ANDRE, S ;
BERNARDO, M ;
SOUSA, JME ;
CORTEZ, F ;
SOARES, J .
JOURNAL OF SURGICAL ONCOLOGY, 1995, 58 (03) :162-167
[4]   Nomograms in oncology: more than meets the eye [J].
Balachandran, Vinod P. ;
Gonen, Mithat ;
Smith, J. Joshua ;
DeMatteo, Ronald P. .
LANCET ONCOLOGY, 2015, 16 (04) :E173-E180
[5]   INFLUENCE OF AGE AND COMORBIDITY ON TREATMENT CHOICE AND SURVIVAL IN ELDERLY PATIENTS WITH BREAST-CANCER [J].
BERGMAN, L ;
DEKKER, G ;
VANKERKHOFF, EHM ;
PETERSE, HL ;
VANDONGEN, JA ;
VANLEEUWEN, FE .
BREAST CANCER RESEARCH AND TREATMENT, 1991, 18 (03) :189-198
[6]  
Bray F, 2018, CA-CANCER J CLIN, V68, P394, DOI [10.3322/caac.21492, 10.3322/caac.21609]
[7]   Histopathological analysis of mucinous breast cancer subtypes and comparison with invasive carcinoma of no special type [J].
Budzik, Michal Piotr ;
Fudalej, Marta Magdalena ;
Badowska-Kozakiewicz, Anna Maria .
SCIENTIFIC REPORTS, 2021, 11 (01)
[8]   X-tile: A new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization [J].
Camp, RL ;
Dolled-Filhart, M ;
Rimm, DL .
CLINICAL CANCER RESEARCH, 2004, 10 (21) :7252-7259
[9]   Clinical course and prognostic factors following bone recurrence from breast cancer [J].
Coleman, RE ;
Smith, P ;
Rubens, RD .
BRITISH JOURNAL OF CANCER, 1998, 77 (02) :336-340
[10]   Prediction of Other-Cause Mortality in Older Patients with Breast Cancer Using Comorbidity [J].
de Boer, Anna Z. ;
Bastiaannet, Esther ;
Putter, Hein ;
van de Mheen, Perla J. ;
Siesling, Sabine ;
de Munck, Linda ;
de Ligt, Kelly M. ;
Portielje, Johanneke E. A. ;
Liefers, Gerrit Jan ;
de Glas, Nienke A. .
CANCERS, 2021, 13 (07)