Methodology of immunohistological detection of oestrogen receptor in human breast carcinoma in formalin-fixed, paraffin-embedded tissue: a comparison with frozen section methodology

1993 ◽  
Vol 23 (3) ◽  
pp. 233-238 ◽  
Author(s):  
D.R.J. SNEAD ◽  
J.A. BELL ◽  
A.R. DIXON ◽  
R.I. NICHOLSON ◽  
C.W. ELSTON ◽  
...  
2010 ◽  
Vol 18 (4) ◽  
pp. 371-374 ◽  
Author(s):  
Rita A. Sakr ◽  
Violetta Barbashina ◽  
Mary Morrogh ◽  
Sarat Chandarlapaty ◽  
Victor P. Andrade ◽  
...  

2016 ◽  
Vol 70 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Carla Thomas ◽  
Cleo Robinson ◽  
Ben Dessauvagie ◽  
Benjamin Wood ◽  
Greg Sterrett ◽  
...  

AimBreast carcinoma proliferative activity, histological grade and commercial molecular tests are all important in prognostication and treatment. There is a particular need for improved, standardised techniques for subclassification of grade 2 breast cancers into low-risk and high-risk prognostic groups. In this study we investigated whether gene expression profiling of five proliferation genes was feasible using breast cancer tissue in a clinical setting and whether these profiles could enhance pathological assessment.MethodsExpression of five proliferation gene mRNAs; Ki-67, STK 15, CCNB1, CCND1 and MYBL2, was quantified in 27 breast carcinomas and compared with Ki-67 proliferation index (PI) and Nottingham mitotic score.ResultsExpression of Ki-67, STK15 and MYBL2 mRNA showed moderate Spearman's correlation with Ki-67 PI (p<0.01), but CCND1 and CCNB1 showed weak, non-significant correlation. Individual gene expression did not associate with mitotic score but combined mRNA expression correlated with both Ki-67 PI (p=0.018) and mitotic score (p=0.03; 0.007).ConclusionsThis study confirms mRNA analysis in breast carcinoma formalin-fixed, paraffin-embedded samples is feasible and suggests gene expression profiling, using a small set of five proliferation genes, has potential in aiding histological grading or assessment of proliferative activity of breast cancers. To fully evaluate the clinical applicability of this approach, a larger cohort study with long-term follow-up data is required.


2018 ◽  
Vol Volume 10 ◽  
pp. 121-129
Author(s):  
Parth Shah ◽  
Shiva Murarka ◽  
Anupam Joshi ◽  
Bhavana Mehta ◽  
Vipal Parmar ◽  
...  

2019 ◽  
Vol 20 (3) ◽  
pp. 687-692 ◽  
Author(s):  
Chia Sharifpour ◽  
Manoochehr Makvandi ◽  
Alireza Samabafzadeh ◽  
Abdolhassan Talaei-Zadeh ◽  
Nastaran Ranjbari ◽  
...  

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