scholarly journals p53 Protein Accumulation and Presence of Visceral Metastasis Are Independent Prognostic Factors for Survival in Patients with Metastatic Inflammatory Breast Carcinoma

2011 ◽  
Vol 20 (2) ◽  
pp. 159-164 ◽  
Author(s):  
Canfeza Sezgin ◽  
Erhan Gokmen ◽  
Murat Kapkac ◽  
Osman Zekioglu ◽  
Mustafa Esassolak ◽  
...  
2003 ◽  
Vol 18 (2) ◽  
pp. 99-105 ◽  
Author(s):  
R. Dendale ◽  
A. Vincent-Salomon ◽  
E. Mouret-Fourme ◽  
A. Savignoni ◽  
J. Medioni ◽  
...  

Medullary breast carcinoma (MBC) is a rare pathological type of breast cancer. The rate of p53 protein accumulation is higher in MBC than in common invasive ductal carcinoma. Whether this particular feature of MBC influences the outcome after treatment is unknown. We retrospectively analyzed the characteristics, treatment and outcome of 71 patients with MBC treated between 1981 and 1996. The median age was 51 years (range 27–81) and the median clinical tumor size was 25 mm (range 0-70 mm). Breast-conserving treatment was offered when possible: 55 patients had undergone a tumorectomy and radiotherapy while 16 patients had undergone a mastectomy. p53 protein accumulation was determined by immunohistochemistry on paraffin-embedded tumor specimens from 58/71 samples available for this study. The median follow-up for the 56 survivors was 113 months (range 30–241). The 10-year survival and metastasis-free survival rates were 81% and 81.4%, respectively. The local recurrence rate was 16.4%. The two factors predicting outcome were pathological axillary node involvement in the 60 patients who underwent axillary dissection and adjuvant chemotherapy. p53 accumulation was found in 33/58 patients (57%). p53 status was not predictive of survival nor of distant or local recurrences. We confirm that medullary breast carcinoma has a favorable prognosis despite its aggressive pathological features. p53 protein accumulation, found in the majority of MBCs, was not related to outcome.


PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7659 ◽  
Author(s):  
Haige Zhang ◽  
Guifen Ma ◽  
Shisuo Du ◽  
Jing Sun ◽  
Qian Zhang ◽  
...  

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.


1990 ◽  
Vol 16 (1) ◽  
pp. 15-22 ◽  
Author(s):  
J. Rouëssé ◽  
S. Friedman ◽  
H. Mouriesse ◽  
D. Sarrazin ◽  
M. Spielmann

2021 ◽  
Author(s):  
Daniele Bernardi ◽  
Emanuele Asti ◽  
Giulia Bonavina ◽  
Alberto Luporini ◽  
Claudio Clemente ◽  
...  

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