Literature DB >> 32168036

Ki-67 Proliferation Index in Breast Cancer as a Function of Assessment Method: A NordiQC Experience.

Rasmus Røge1,2, Søren Nielsen1, Rikke Riber-Hansen3, Mogens Vyberg1,2.   

Abstract

Immunohistochemical staining for Ki-67 is used to calculate a Ki-67 proliferation index (PI) that carries prognostic and predictive information in various cancers including breast carcinomas. Studies have documented challenges for observers to reproducibly estimate the Ki-67 PI. At present, no international consensus exists concerning scoring method (eg, hotspots vs. overall average, digital vs. manual counting) or even the definition of a Ki-67-positive cell. To clarify the approach to Ki-67 scoring and evaluation of the interobserver agreement among participants in the Nordic Immunohistochemical Quality Control (NordiQC) Breast Cancer Module, a study was set up on the basis of an online web module containing 15 digitized tissue microarray cores of breast carcinomas stained for Ki-67 in the NordiQC reference laboratory. All participants were invited to attend the study. In addition to Ki-67 scoring, they were asked to disclose their preferred method for Ki-67 estimation and their job title. For comparison, slides were analyzed using a Digital Image Analysis algorithm based on Virtual Double Staining. In total, 199 participants enrolled for the study. Overall, there was a good correlation in Ki-67 PIs among the participants, although results for some cores varied significantly. However, when applying a cutoff of 20%, a relatively low κ value of 0.52 was observed. Participants scoring in hotspots reported higher Ki-67 PIs than participants estimating an overall average, and, not surprisingly, participants who considered weak Ki-67 nuclear staining positive obtained higher Ki-67 PIs than those who did not. Ki-67 PI was not correlated to job title. The Virtual Double Staining algorithm obtained Ki-67 values close to the mean value of the human observers. Our study underlines the need for international standardization and guidelines in estimation of Ki-67 PI. Digital Image Analysis may be a useful tool in this process.
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.

Entities:  

Year:  2021        PMID: 32168036     DOI: 10.1097/PAI.0000000000000846

Source DB:  PubMed          Journal:  Appl Immunohistochem Mol Morphol        ISSN: 1533-4058


  3 in total

1.  Varying outcomes of triple-negative breast cancer in different age groups-prognostic value of clinical features and proliferation.

Authors:  H Vihervuori; K Korpinen; T A Autere; H Repo; K Talvinen; P Kronqvist
Journal:  Breast Cancer Res Treat       Date:  2022-10-19       Impact factor: 4.624

2.  Developing a real-world database for oncology: a descriptive analysis of breast cancer in Argentina.

Authors:  Guillermo Streich; Marcelo Blanco Villalba; Christian Cid; Guillermo F Bramuglia
Journal:  Ecancermedicalscience       Date:  2022-08-04

3.  Can Radiomics Analyses in 18F-FDG PET/CT Images of Primary Breast Carcinoma Predict Hormone Receptor Status?

Authors:  Mine Araz; Çiğdem Soydal; Pınar Gündüz; Ayça Kırmızı; Batuhan Bakırarar; Serpil Dizbay Sak; Elgin Özkan
Journal:  Mol Imaging Radionucl Ther       Date:  2022-02-02
  3 in total

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