Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients

Nina Gran Egeland,1,2 Kristin Jonsdottir,1 Kristina Lystlund Lauridsen,3 Ivar Skaland,1 Cathrine F Hjorth,4 Einar G Gudlaugsson,1 Stephen Hamilton-Dutoit,3 Timothy L Lash,4,5 Deirdre Cronin-Fenton,4,* Emiel AM Janssen1,2,* 1Department of Pathology, Stavanger University Hospital, Stavanger, Norway; 2...

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Main Authors: Egeland NG, Jonsdottir K, Lauridsen KL, Skaland I, Hjorth CF, Gudlaugsson EG, Hamilton-Dutoit S, Lash TL, Cronin-Fenton D, Janssen EAM
Format: Article
Language:English
Published: Dove Medical Press 2020-07-01
Series:Clinical Epidemiology
Subjects:
Online Access:https://www.dovepress.com/digital-image-analysis-of-ki-67-stained-tissue-microarrays-and-recurre-peer-reviewed-article-CLEP
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spelling doaj-ad21e423b8fa43bcbfd26f75947451b22020-11-25T03:01:33ZengDove Medical PressClinical Epidemiology1179-13492020-07-01Volume 1277178155472Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer PatientsEgeland NGJonsdottir KLauridsen KLSkaland IHjorth CFGudlaugsson EGHamilton-Dutoit SLash TLCronin-Fenton DJanssen EAMNina Gran Egeland,1,2 Kristin Jonsdottir,1 Kristina Lystlund Lauridsen,3 Ivar Skaland,1 Cathrine F Hjorth,4 Einar G Gudlaugsson,1 Stephen Hamilton-Dutoit,3 Timothy L Lash,4,5 Deirdre Cronin-Fenton,4,* Emiel AM Janssen1,2,* 1Department of Pathology, Stavanger University Hospital, Stavanger, Norway; 2Department of Chemistry, Bioscience and Environmental Engineering, University of Stavanger, Stavanger, Norway; 3Institute of Pathology, Aarhus University Hospital, Aarhus, Denmark; 4Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 5Department of Epidemiology, Rollins School of Public Health and Winship Cancer Institute, Emory University, Atlanta, GA, USA*These authors contributed equally to this workCorrespondence: Nina Gran EgelandDepartment of Pathology, Stavanger University Hospital, Box 8100, Stavanger 4068, NorwayTel +47 924 25 622Email nina.gran.egeland@sus.noPurpose: The proliferation marker Ki-67 has been used as a prognostic marker to separate low- and high-risk breast cancer subtypes and guide treatment decisions for adjuvant chemotherapy. The association of Ki-67 with response to tamoxifen therapy is unclear. High-throughput automated scoring of Ki-67 might enable standardization of quantification and definition of clinical cut-off values. We hypothesized that digital image analysis (DIA) of Ki-67 can be used to evaluate proliferation in breast cancer tumors, and that Ki-67 may be associated with tamoxifen resistance in early-stage breast cancer.Patients and Methods: Here, we apply DIA technology from Visiopharm using a custom designed algorithm for quantifying the expression of Ki-67, in a case–control study nested in the Danish Breast Cancer Group clinical database, consisting of stages I, II, or III breast cancer patients of 35– 69 years of age, diagnosed during 1985– 2001, in the Jutland peninsula, Denmark. We assessed DIA-Ki-67 score on tissue microarrays (TMAs) from breast cancer patients in a case–control study including 541 ER-positive and 300 ER-negative recurrent cases and their non-recurrent controls, matched on ER-status, cancer stage, menopausal status, year of diagnosis, and county of residence. We used logistic regression to estimate odds ratios and associated 95% confidence intervals to determine the association of Ki-67 expression with recurrence risk, adjusting for matching factors, chemotherapy, type of surgery, receipt of radiation therapy, age category, and comorbidity.Results: Ki-67 was not associated with increased risk of recurrence in tamoxifen-treated patients (ORadj =0.72, 95% CI 0.54, 0.96) or ER-negative patients (ORadj =0.85, 95% CI 0.54, 1.34).Conclusion: Our findings suggest that Ki-67 digital image analysis in TMAs is not associated with increased risk of recurrence among tamoxifen-treated ER-positive breast cancer or ER-negative breast cancer patients. Overall, our findings do not support an increased risk of recurrence associated with Ki-67 expression.Keywords: breast cancer, tamoxifen, proliferation, Ki-67, recurrence risk, tissue microarray, TMA, digital image analysis, DIAhttps://www.dovepress.com/digital-image-analysis-of-ki-67-stained-tissue-microarrays-and-recurre-peer-reviewed-article-CLEPbreast cancertamoxifenproliferationki-67recurrence risktissue microarray (tma)digital image analysis (dia)
collection DOAJ
language English
format Article
sources DOAJ
author Egeland NG
Jonsdottir K
Lauridsen KL
Skaland I
Hjorth CF
Gudlaugsson EG
Hamilton-Dutoit S
Lash TL
Cronin-Fenton D
Janssen EAM
spellingShingle Egeland NG
Jonsdottir K
Lauridsen KL
Skaland I
Hjorth CF
Gudlaugsson EG
Hamilton-Dutoit S
Lash TL
Cronin-Fenton D
Janssen EAM
Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients
Clinical Epidemiology
breast cancer
tamoxifen
proliferation
ki-67
recurrence risk
tissue microarray (tma)
digital image analysis (dia)
author_facet Egeland NG
Jonsdottir K
Lauridsen KL
Skaland I
Hjorth CF
Gudlaugsson EG
Hamilton-Dutoit S
Lash TL
Cronin-Fenton D
Janssen EAM
author_sort Egeland NG
title Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients
title_short Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients
title_full Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients
title_fullStr Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients
title_full_unstemmed Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients
title_sort digital image analysis of ki-67 stained tissue microarrays and recurrence in tamoxifen-treated breast cancer patients
publisher Dove Medical Press
series Clinical Epidemiology
issn 1179-1349
publishDate 2020-07-01
description Nina Gran Egeland,1,2 Kristin Jonsdottir,1 Kristina Lystlund Lauridsen,3 Ivar Skaland,1 Cathrine F Hjorth,4 Einar G Gudlaugsson,1 Stephen Hamilton-Dutoit,3 Timothy L Lash,4,5 Deirdre Cronin-Fenton,4,* Emiel AM Janssen1,2,* 1Department of Pathology, Stavanger University Hospital, Stavanger, Norway; 2Department of Chemistry, Bioscience and Environmental Engineering, University of Stavanger, Stavanger, Norway; 3Institute of Pathology, Aarhus University Hospital, Aarhus, Denmark; 4Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 5Department of Epidemiology, Rollins School of Public Health and Winship Cancer Institute, Emory University, Atlanta, GA, USA*These authors contributed equally to this workCorrespondence: Nina Gran EgelandDepartment of Pathology, Stavanger University Hospital, Box 8100, Stavanger 4068, NorwayTel +47 924 25 622Email nina.gran.egeland@sus.noPurpose: The proliferation marker Ki-67 has been used as a prognostic marker to separate low- and high-risk breast cancer subtypes and guide treatment decisions for adjuvant chemotherapy. The association of Ki-67 with response to tamoxifen therapy is unclear. High-throughput automated scoring of Ki-67 might enable standardization of quantification and definition of clinical cut-off values. We hypothesized that digital image analysis (DIA) of Ki-67 can be used to evaluate proliferation in breast cancer tumors, and that Ki-67 may be associated with tamoxifen resistance in early-stage breast cancer.Patients and Methods: Here, we apply DIA technology from Visiopharm using a custom designed algorithm for quantifying the expression of Ki-67, in a case–control study nested in the Danish Breast Cancer Group clinical database, consisting of stages I, II, or III breast cancer patients of 35– 69 years of age, diagnosed during 1985– 2001, in the Jutland peninsula, Denmark. We assessed DIA-Ki-67 score on tissue microarrays (TMAs) from breast cancer patients in a case–control study including 541 ER-positive and 300 ER-negative recurrent cases and their non-recurrent controls, matched on ER-status, cancer stage, menopausal status, year of diagnosis, and county of residence. We used logistic regression to estimate odds ratios and associated 95% confidence intervals to determine the association of Ki-67 expression with recurrence risk, adjusting for matching factors, chemotherapy, type of surgery, receipt of radiation therapy, age category, and comorbidity.Results: Ki-67 was not associated with increased risk of recurrence in tamoxifen-treated patients (ORadj =0.72, 95% CI 0.54, 0.96) or ER-negative patients (ORadj =0.85, 95% CI 0.54, 1.34).Conclusion: Our findings suggest that Ki-67 digital image analysis in TMAs is not associated with increased risk of recurrence among tamoxifen-treated ER-positive breast cancer or ER-negative breast cancer patients. Overall, our findings do not support an increased risk of recurrence associated with Ki-67 expression.Keywords: breast cancer, tamoxifen, proliferation, Ki-67, recurrence risk, tissue microarray, TMA, digital image analysis, DIA
topic breast cancer
tamoxifen
proliferation
ki-67
recurrence risk
tissue microarray (tma)
digital image analysis (dia)
url https://www.dovepress.com/digital-image-analysis-of-ki-67-stained-tissue-microarrays-and-recurre-peer-reviewed-article-CLEP
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