scholarly journals Ki-67 Expression by Immunohistochemistry and Quantitative Real-Time Polymerase Chain Reaction as Predictor of Clinical Response to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Prihantono Prihantono ◽  
Mochammad Hatta ◽  
Christian Binekada ◽  
Daniel Sampepajung ◽  
Haryasena Haryasena ◽  
...  

Background. Chemotherapy has become a standard of treatment in managing breast cancer. To achieve proper treatment for the right patients, the predictive marker is needed. Ki-67 is a biomarker of proliferation for solid tumor. Studies mentioned association of Ki-67 expression with chemotherapy response. The study aims are to evaluate whether Ki-67 expression detected by immunohistochemistry (IHC) and quantitative real-time polymerase chain reaction (qRT-PCR) may predict clinical response to neoadjuvant chemotherapy in breast cancer.Methods. This study utilized a longitudinal study. IHC and qRT-PCR methods were used for detection of Ki-67 expression. Chemotherapy response was calculated using RECIST. Data were analyzed with Chi-square and Wilcoxon’s test.Results. There were 48 subjects in this study. Analysis of Ki-67 expression with chemotherapy response has a significant correlation withp=0.025(<0.05), OR: 1.69, confidence interval (95% CI) 1.022–2.810. Analysis of Ki-67 mRNA expression with chemotherapy response has a significant correlationp=0.002(<0.05), OR: 6.85, confidence interval (95% CI) 1.064–44.193. Detection of Ki-67 expression using IHC and qRT-PCR has similar results,p=0.012(<0.05).Conclusion. These results suggest that Ki-67 expression detected by both IHC and qRT-PCR is considered to be a predictor of clinical response to neoadjuvant chemotherapy in locally advanced breast cancer.

2019 ◽  
Author(s):  
Diego de Aragão Bezerra ◽  
Jose Juvenal Linhares ◽  
Emmanuelle Coelho Noronha ◽  
Kaio César Simiano Tavares ◽  
André Saraiva Leão Marcelo Antunes ◽  
...  

Abstract Background: Breast cancer (BC) is the most common tumor and the leading cause of cancer-related death among the female population worldwide. To evaluate the association between the ABCB1 C3435T single gene nucleotide polymorphisms (SNPs) with the response to neoadjuvant chemotherapy in women with breast cancer. Methods: This study included 32 female patients who received neoadjuvant chemotherapy. The polymorphisms were genotyped through real-time allele-specific polymerase chain reaction (PCR). The statistical analysis was performed using the Fisher's exact test or Pearson's chi-square test in the Statistical Package for Social Sciences (SPSS) version 20.0 software. Results: The genotypes found for the C3435T polymorphism were in Hardy-Weinberg equilibrium and their genotypic distributions were CC= 10 (31.1%), CT= 14 (43.8%), and TT= 08 (25.0%) with χ2: 0.86 and p-value > 0.05. Allele frequencies were C = 0.54 and T = 0.46. There were no significant statistical differences between genotypes considering the response to neoadjuvant chemotherapy and immunohistochemistry; the presence of the T allele was associated with worsen axillary status response to neoadjuvant chemotherapy. Conclusion: No definite association between the presence of C3435T polymorphism and the response to neoadjuvant chemotherapy was observed. Further studies in Brazil involving larger samples will contribute to validating the results of this study. Keywords: Breast cancer; Neoadjuvant Chemotherapy; Polymorphisms; Gene ABCB1


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