Expression of BAG-1 and BcL-2 Proteins Before and After Neoadjuvant Chemotherapy of Locally Advanced Breast Cancer

2004 ◽  
Vol 22 (2) ◽  
pp. 248-256 ◽  
Author(s):  
Lajos Pusztai ◽  
Savitri Krishnamurti ◽  
Jorge Perez Cardona ◽  
Nour Sneige ◽  
Francisco J. Esteva ◽  
...  
2018 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Ade Permana ◽  
Benny Kusuma ◽  
Nur Qodir ◽  
Legiran

Introduction. CD4+ T-helper has an important role in immune system modulation especially to maintain long-term anti tumor effect. CD4+ also serves to activate CD8+ for destroyed the tumor cells. It was expected there were role of immunity on tumor growth and response of breast cancer chemotherapy to CD4+ levels serum. Furthermore, this study was aimed to investigate the effects of neoadjuvant chemotherapy on CD4+ levels in patients with locally advanced breast cancer at General Hospital Dr. Mohammad Hoesin Palembang. Method. This study was a non-comparable clinical trial by looking at serum CD4+ levels in patients with locally advanced breast cancer before and after neoadjuvant chemotherapy.   Results. Of the 30 subjects the subject age ranged from 33-66 years with an average of 45 years. There were 17 patients with contraception history (56.7%), 13 patients with family history of breast cancer (43.3%). From this study, it was obtained 23 patients with good chemotherapy response (76.7%) and there were 7 patients who had poor chemotherapy response after neoadjuvan chemotherapy (23.3%). Paired t-test analysis showed that there was a significant difference in mean CD4+ count before and after neoadjuvan chemotherapy. At the CD4+ level before chemotherapy 775.55 had a sensitivity of 60% and a specificity of 57% (cut of point). While CD4+ levels after chemotherapy 470.85 with sensitivity of 60% and specificity of 57%.   Conclusion. CD4+ pre-chemotherapy examination had a sensitivity score of 60% and a specificity of 57% in predicting neoadjuvant chemotherapy response.    


Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 608
Author(s):  
Toshiaki Iwase ◽  
Aaroh Parikh ◽  
Seyedeh S. Dibaj ◽  
Yu Shen ◽  
Tushaar Vishal Shrimanker ◽  
...  

Our previous study indicated that a high amount of visceral adipose tissue was associated with poor survival outcomes in patients with early breast cancer who received neoadjuvant chemotherapy. However, inconsistency was observed in the prognostic role of body composition in breast cancer treatment outcomes. In the present study, we aimed to validate our previous research by performing a comprehensive body composition analysis in patients with a standardized clinical background. We included 198 patients with stage III breast cancer who underwent neoadjuvant chemotherapy between January 2007 and June 2015. The impact of body composition on pathologic complete response and survival outcomes was determined. Body composition measurements had no significant effect on pathologic complete response. Survival analysis showed a low ratio of total visceral adipose tissue to subcutaneous adipose tissue (V/S ratio ≤ 34) was associated with shorter overall survival. A changepoint method determined that a V/S ratio cutoff of 34 maximized the difference in overall survival. Our study indicated the prognostic effect of body composition measurements in patients with locally advanced breast cancer compared to those with early breast cancer. Further investigation will be needed to clarify the biological mechanism underlying the association of V/S ratio with prognosis in locally advanced breast cancer.


2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
M. M. Panzeri ◽  
C. Losio ◽  
A. Della Corte ◽  
E. Venturini ◽  
A. Ambrosi ◽  
...  

Purpose. To assess correlations between volumetric first-order texture parameters on baseline MRI and pathological response after neoadjuvant chemotherapy (NAC) for locally advanced breast cancer (BC). Materials and Methods. 69 patients with locally advanced BC candidate to neoadjuvant chemotherapy underwent MRI within 4 weeks from the start of therapeutic regimen. T2, DWI, and DCE sequences were analyzed and maps were generated for Apparent Diffusion Coefficient (ADC), T2 signal intensity, and the following dynamic parameters: k-trans, peak enhancement, area under curve (AUC), time to maximal enhancement (TME), wash-in rate, and washout rate. Volumetric analysis of these parameters was performed, yielding a histogram analysis including first-order texture kinetics (percentiles, maximum value, minimum value, range, standard deviation, mean, median, mode, skewness, and kurtosis). Finally, correlations between these values and response to NAC (evaluated on the surgical specimen according to RECIST 1.1 criteria) were assessed. Results. Out of 69 tumors, 33 (47.8%) achieved complete pathological response, 26 (37.7%) partial response, and 10 (14.5%) no response. Higher levels of AUCmax (p value = 0.0338), AUCrange (p value = 0.0311), and TME75 (p value = 0.0452) and lower levels of washout10 (p value = 0.0417), washout20 (p value = 0.0138), washout25 (p value = 0.0114), and washout30 (p value = 0.05) were predictive of noncomplete response. Conclusion. Histogram-derived texture analysis of MRI images allows finding quantitative parameters predictive of nonresponse to NAC in women affected by locally advanced BC.


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