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Vieira DSC, Wopereis S, Walter LO, et al. Analysis of Ki-67 expression in women with breast cancer: Comparative evaluation of two different methodologies by immunophenotyping. Pathol Res Pract. 2021;230:153750doi: 10.1016/j.prp.2021.153750.
Vieira, D. S. C., Wopereis, S., Walter, L. O., de Oliveira Silva, L., Ribeiro, A. A. B., Wilkens, R. S., Fernandes, B. L., Reis, M. L., Golfetto, L., & Santos-Silva, M. C. (2021). Analysis of Ki-67 expression in women with breast cancer: Comparative evaluation of two different methodologies by immunophenotyping. Pathology, research and practice, 230153750. https://doi.org/10.1016/j.prp.2021.153750
Vieira, Daniella Serafin Couto, et al. "Analysis of Ki-67 expression in women with breast cancer: Comparative evaluation of two different methodologies by immunophenotyping." Pathology, research and practice vol. 230 (2021): 153750. doi: https://doi.org/10.1016/j.prp.2021.153750
Vieira DSC, Wopereis S, Walter LO, de Oliveira Silva L, Ribeiro AAB, Wilkens RS, Fernandes BL, Reis ML, Golfetto L, Santos-Silva MC. Analysis of Ki-67 expression in women with breast cancer: Comparative evaluation of two different methodologies by immunophenotyping. Pathol Res Pract. 2021 Dec 23;230:153750. doi: 10.1016/j.prp.2021.153750. Epub 2021 Dec 23. PMID: 34971844.
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Pathol Res Pract. 2021 Dec 23;230:153750. doi: 10.1016/j.prp.2021.153750. Epub 2021 Dec 23.

Analysis of Ki-67 expression in women with breast cancer: Comparative evaluation of two different methodologies by immunophenotyping.

Pathology, research and practice

Daniella Serafin Couto Vieira, Sandro Wopereis, Laura Otto Walter, Lisandra de Oliveira Silva, Amanda Abdalla Biasi Ribeiro, Renato Salerno Wilkens, Bráulio Leal Fernandes, Manoela Lira Reis, Lisléia Golfetto, Maria Cláudia Santos-Silva

Affiliations

  1. Experimental Oncology and Hemopathies Laboratory, Postgraduate Program in Pharmacy, Health Sciences Center, Federal University of Santa Catarina, Florianópolis, Brazil; University Hospital Polydoro Ernani de São Thiago, Federal University of Santa Catarina, Florianópolis, Brazil; Federal University of Santa Catarina, Department of Pathology, Health Sciences Center, Federal University of Santa Catarina, Florianópolis, Brazil.
  2. University Hospital Polydoro Ernani de São Thiago, Federal University of Santa Catarina, Florianópolis, Brazil.
  3. Experimental Oncology and Hemopathies Laboratory, Postgraduate Program in Pharmacy, Health Sciences Center, Federal University of Santa Catarina, Florianópolis, Brazil.
  4. University Hospital Polydoro Ernani de São Thiago, Federal University of Santa Catarina, Florianópolis, Brazil; Federal University of Santa Catarina, Department of Pathology, Health Sciences Center, Federal University of Santa Catarina, Florianópolis, Brazil.
  5. Experimental Oncology and Hemopathies Laboratory, Postgraduate Program in Pharmacy, Health Sciences Center, Federal University of Santa Catarina, Florianópolis, Brazil. Electronic address: [email protected].

PMID: 34971844 DOI: 10.1016/j.prp.2021.153750

Abstract

The Ki-67 antigen is a nuclear protein with proven prognostic value in different neoplasms and recognizes the predictive value in breast cancer (BC). No consensus exists on the ideal cutoff point. In this study, Ki-67 expression was evaluated in samples of BC by flow cytometry (FC) and compared with immunohistochemical (IHC) examination. For this, the BC tissue samples were sectioned, macerated, filtered, and marked with anti-Ki-67 FITC and anti-CD45 V500 antibodies. We selected the neoplastic cells according to CD45 expression and size and internal complexity (FSC × SSC) using the Infinicity 1.7 software. Lymphocytes were negative control. We compared the results with IHC analyses carried out in parallel and independently. The expression of Ki-67 was evaluated in both methodologies through Bland-Altman analysis. Among the 44 samples analyzed, only three showed bias higher than the established confidence interval (mean bias 2.1%, p = 0.62), with no significant difference for the perfect mean bias (0%). Therefore, one can state that FC provides results equivalent to IHC analysis and possibly analyzes more cells simultaneously. The results obtained in this study show the absence of observational bias through software analysis in a larger number of tumor cell populations. We can conclude that FC may be a promising alternative method for investigating Ki-67 in solid tumours.

Copyright © 2021 Elsevier GmbH. All rights reserved.

Keywords: Breast Cancer; Flow Cytometry; Immunohistochemistry; Ki-67

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