Therapeutic strategies in inflammatory breast carcinoma based on prognostic factors

1990 ◽  
Vol 16 (1) ◽  
pp. 15-22 ◽  
Author(s):  
J. Rouëssé ◽  
S. Friedman ◽  
H. Mouriesse ◽  
D. Sarrazin ◽  
M. Spielmann
Keyword(s):  
Prognostic Factors ◽  
Breast Carcinoma ◽  
Therapeutic Strategies ◽  
Inflammatory Breast Carcinoma

scholarly journals Nomogram for predicting cancer specific survival in inflammatory breast carcinoma: a SEER population-based study

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7659 ◽  
Author(s):  
Haige Zhang ◽  
Guifen Ma ◽  
Shisuo Du ◽  
Jing Sun ◽  
Qian Zhang ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Breast Carcinoma ◽  
Growth Factor Receptor ◽  
Stage Iv ◽  
Radical Mastectomy ◽  
Stage Iii ◽  
Predictive Tool ◽  
Cancer Specific Survival ◽  
Trimodality Therapy ◽  
Inflammatory Breast Carcinoma

The clinicopathological features of inflammatory breast carcinoma (IBC), the effect of therapeutic options on survival outcome and the identification of prognostic factors were investigated in this study. Information on IBC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2015. Cox proportional hazard regression was used to determine potential significant prognostic factors of IBC. A nomogram was then constructed to evaluate patient survival based on certain variables. Univariate and multivariate analyses revealed that race (p < 0.001), M stage (p < 0.001), surgery (p = 0.010), chemotherapy (CT) (p < 0.001), tumor size (p = 0.010), estrogen receptor (p < 0.001), progesterone receptor (p = 0.04), and human epidermal growth factor receptor 2 (p < 0.001) were all independent risk factors. The concordance index (C-index) of the nomogram was 0.735, which showed good predictive efficiency. Survival analysis indicated that IBC patients without CT had poorer survival than those with CT (p < 0.001). Stratified analyses showed that modified radical mastectomy (MRM) had significant survival advantages over non-MRM in patients with stage IV IBC (p = 0.031). Patients treated with or without CT stratified by stage III and stage IV showed better survival than those without stage III and IV (p < 0.001). Trimodality therapy resulted in better survival than surgery combined with CT or CT alone (p < 0.001). Competing risk analysis also showed the same results. The nomogram was effectively applied to predict the 1, 3 and 5-year survival of IBC. Our nomogram showed relatively good accuracy with a C-index of 0.735 and is a visualized individually predictive tool for prognosis. Treatment strategy greatly affected the survival of patients. Trimodality therapy was the preferable therapeutic strategy for IBC. Further prospective studies are needed to validate these findings.

scholarly journals Delayed presentation of inflammatory breast carcinoma during the COVID-19 pandemic

2021 ◽  
Author(s):  
Daniele Bernardi ◽  
Emanuele Asti ◽  
Giulia Bonavina ◽  
Alberto Luporini ◽  
Claudio Clemente ◽  
...  
Keyword(s):  
Breast Carcinoma ◽  
Delayed Presentation ◽  
Inflammatory Breast Carcinoma

Correlation of Histologic Prognostic Factors in Core Biopsies and Therapeutic Excisions of Invasive Breast Carcinoma

2003 ◽  
Vol 27 (1) ◽  
pp. 11-15 ◽  
Author(s):  
Gavin C. Harris ◽  
Helen E. Denley ◽  
Sarah E. Pinder ◽  
Andrew H. S. Lee ◽  
Ian O. Ellis ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Breast Carcinoma ◽  
Invasive Breast Carcinoma

Correlation of the SUVmax of FDG-PET and ADC values of diffusion-weighted MR imaging with pathologic prognostic factors in breast carcinoma

2016 ◽  
Vol 85 (5) ◽  
pp. 943-949 ◽  
Author(s):  
Kazuhiro Kitajima ◽  
Toshiko Yamano ◽  
Kazuhito Fukushima ◽  
Yasuo Miyoshi ◽  
Seiichi Hirota ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Breast Carcinoma ◽  
Mr Imaging ◽  
Fdg Pet ◽  
Diffusion Weighted ◽  
Adc Values

Abstract PS19-07: Plasma exosomal miRNAs: A minimally invasive diagnostic biomarker for inflammatory breast carcinoma

2021 ◽  
Author(s):  
Sarah Hamdy Ahmed ◽  
Ahmed El-Damen ◽  
Mohamed A. Badawy ◽  
Mohamed El-Shinawi ◽  
Martin Götte ◽  
...  
Keyword(s):  
Breast Carcinoma ◽  
Minimally Invasive ◽  
Diagnostic Biomarker ◽  
Inflammatory Breast Carcinoma ◽  
Exosomal Mirnas

scholarly journals Correlation of primary tumor size and axillary nodal status with tumor suppressor gene p53 in breast carcinoma

2002 ◽  
Vol 59 (1) ◽  
pp. 29-32 ◽  
Author(s):  
Brano Topic ◽  
Nebojsa Stankovic ◽  
Dragutin Savjak ◽  
Slavko Grbic
Keyword(s):  
Prognostic Factors ◽  
Breast Carcinoma ◽  
Tumor Suppressor ◽  
Tumor Suppressor Gene ◽  
Tumor Size ◽  
Primary Tumor ◽  
Suppressor Gene ◽  
Nodal Status ◽  
Primary Tumor Size ◽  
Tumor Suppressor Gene P53

Correlation of standard path morphological prognostic parameters, primary tumor size and axillary nodal status with new prognostic factor in breast carcinoma: tumor suppressor gene p53 was analyzed. The studied sample included 65 women who underwent surgery for breast carcinoma at the Surgical Clinic of Clinical Center Banja Luka, from January 1st 1997 till January 1st 1999. Statistical data analysis was performed and correlation of prognostic factors was determined. The majority of authors in this field agree that the primary tumor size and axillary nodal status are the two most important prognostic factors. These factors are the best predictors of prognosis and survival of women who had the tumor and were operated on. Tumor markers were immunohistochemically determined in the last ten years and, according to the majority of authors, are still considered the additional or relative prognostic factors in breast carcinoma. Their prognostic value and significance increase almost daily. Most frequently determined tumor markers are bcl-2, pS2, Ki-67 and p53. There was a positive, directly proportional relationship between primary tumor size and tumor suppressor gene p53, but there was no positive correlation between the axillary nodal status and tumor suppressor gene p53. Significance of determination of new tumor markers as the prognostic factors was emphasized. These markers represent a powerful tool in the early detection and prevention of breast carcinoma.

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