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Abstract In breast cancer, immunohistochemical assessment of proliferation using the marker Ki67 has potential use in both research and clinical management. However, lack of consistency across laboratories has limited Ki67's value. A working group was assembled to devise a strategy to harmonize Ki67 analysis and increase scoring concordance. Toward that goal, we conducted a Ki67 reproducibility study. Eight laboratories received 100 breast cancer cases arranged into 1-mm core tissue microarrays-one set stained by the participating laboratory and one set stained by the central laboratory, both using antibody MIB-1. Each laboratory scored Ki67 as percentage of positively stained invasive tumor cells using its own method. Six laboratories repeated scoring of 50 locally stained cases on 3 different days. Sources of variation were analyzed using random effects models with log2-transformed measurements. Reproducibility was quantified by intraclass correlation coefficient (ICC), and the approximate two-sided 95% confidence intervals (CIs) for the true intraclass correlation coefficients in these experiments were provided. Intralaboratory reproducibility was high (ICC = 0.94; 95% CI = 0.93 to 0.97). Interlaboratory reproducibility was only moderate (central staining: ICC = 0.71, 95% CI = 0.47 to 0.78; local staining: ICC = 0.59, 95% CI = 0.37 to 0.68). Geometric mean of Ki67 values for each laboratory across the 100 cases ranged 7.1% to 23.9% with central staining and 6.1% to 30.1% with local staining. Factors contributing to interlaboratory discordance included tumor region selection, counting method, and subjective assessment of staining positivity. Formal counting methods gave more consistent results than visual estimation. Substantial variability in Ki67 scoring was observed among some of the world's most experienced laboratories. Ki67 values and cutoffs for clinical decision-making cannot be transferred between laboratories without standardizing scoring methodology because analytical validity is limited.
AbstractList In breast cancer, immunohistochemical assessment of proliferation using the marker Ki67 has potential use in both research and clinical management. However, lack of consistency across laboratories has limited Ki67's value. A working group was assembled to devise a strategy to harmonize Ki67 analysis and increase scoring concordance. Toward that goal, we conducted a Ki67 reproducibility study. Eight laboratories received 100 breast cancer cases arranged into 1-mm core tissue microarrays-one set stained by the participating laboratory and one set stained by the central laboratory, both using antibody MIB-1. Each laboratory scored Ki67 as percentage of positively stained invasive tumor cells using its own method. Six laboratories repeated scoring of 50 locally stained cases on 3 different days. Sources of variation were analyzed using random effects models with log2-transformed measurements. Reproducibility was quantified by intraclass correlation coefficient (ICC), and the approximate two-sided 95% confidence intervals (CIs) for the true intraclass correlation coefficients in these experiments were provided. Intralaboratory reproducibility was high (ICC = 0.94; 95% CI = 0.93 to 0.97). Interlaboratory reproducibility was only moderate (central staining: ICC = 0.71, 95% CI = 0.47 to 0.78; local staining: ICC = 0.59, 95% CI = 0.37 to 0.68). Geometric mean of Ki67 values for each laboratory across the 100 cases ranged 7.1% to 23.9% with central staining and 6.1% to 30.1% with local staining. Factors contributing to interlaboratory discordance included tumor region selection, counting method, and subjective assessment of staining positivity. Formal counting methods gave more consistent results than visual estimation. Substantial variability in Ki67 scoring was observed among some of the world's most experienced laboratories. Ki67 values and cutoffs for clinical decision-making cannot be transferred between laboratories without standardizing scoring methodology because analytical validity is limited.
BACKGROUNDIn breast cancer, immunohistochemical assessment of proliferation using the marker Ki67 has potential use in both research and clinical management. However, lack of consistency across laboratories has limited Ki67's value. A working group was assembled to devise a strategy to harmonize Ki67 analysis and increase scoring concordance. Toward that goal, we conducted a Ki67 reproducibility study.METHODSEight laboratories received 100 breast cancer cases arranged into 1-mm core tissue microarrays-one set stained by the participating laboratory and one set stained by the central laboratory, both using antibody MIB-1. Each laboratory scored Ki67 as percentage of positively stained invasive tumor cells using its own method. Six laboratories repeated scoring of 50 locally stained cases on 3 different days. Sources of variation were analyzed using random effects models with log2-transformed measurements. Reproducibility was quantified by intraclass correlation coefficient (ICC), and the approximate two-sided 95% confidence intervals (CIs) for the true intraclass correlation coefficients in these experiments were provided.RESULTSIntralaboratory reproducibility was high (ICC = 0.94; 95% CI = 0.93 to 0.97). Interlaboratory reproducibility was only moderate (central staining: ICC = 0.71, 95% CI = 0.47 to 0.78; local staining: ICC = 0.59, 95% CI = 0.37 to 0.68). Geometric mean of Ki67 values for each laboratory across the 100 cases ranged 7.1% to 23.9% with central staining and 6.1% to 30.1% with local staining. Factors contributing to interlaboratory discordance included tumor region selection, counting method, and subjective assessment of staining positivity. Formal counting methods gave more consistent results than visual estimation.CONCLUSIONSSubstantial variability in Ki67 scoring was observed among some of the world's most experienced laboratories. Ki67 values and cutoffs for clinical decision-making cannot be transferred between laboratories without standardizing scoring methodology because analytical validity is limited.
In breast cancer, immunohistochemical assessment of proliferation using the marker Ki67 has potential use in both research and clinical management. However, lack of consistency across laboratories has limited Ki67's value. A working group was assembled to devise a strategy to harmonize Ki67 analysis and increase scoring concordance. Toward that goal, we conducted a Ki67 reproducibility study. Eight laboratories received 100 breast cancer cases arranged into 1-mm core tissue microarrays-one set stained by the participating laboratory and one set stained by the central laboratory, both using antibody MIB-1. Each laboratory scored Ki67 as percentage of positively stained invasive tumor cells using its own method. Six laboratories repeated scoring of 50 locally stained cases on 3 different days. Sources of variation were analyzed using random effects models with log2-transformed measurements. Reproducibility was quantified by intraclass correlation coefficient (ICC), and the approximate two-sided 95% confidence intervals (CIs) for the true intraclass correlation coefficients in these experiments were provided. Intralaboratory reproducibility was high (ICC = 0.94; 95% CI = 0.93 to 0.97). Interlaboratory reproducibility was only moderate (central staining: ICC = 0.71, 95% CI = 0.47 to 0.78; local staining: ICC = 0.59, 95% CI = 0.37 to 0.68). Geometric mean of Ki67 values for each laboratory across the 100 cases ranged 7.1% to 23.9% with central staining and 6.1% to 30.1% with local staining. Factors contributing to interlaboratory discordance included tumor region selection, counting method, and subjective assessment of staining positivity. Formal counting methods gave more consistent results than visual estimation. Substantial variability in Ki67 scoring was observed among some of the world's most experienced laboratories. Ki67 values and cutoffs for clinical decision-making cannot be transferred between laboratories without standardizing scoring methodology because analytical validity is limited.
Author PENAULT-LLORCA, Frédérique
HAYES, Daniel F
BARTLETT, John M. S
GOWN, Allen M
PIPER, Tammy
VIALE, Giuseppe
ENOS, Rebecca A
SYMMANS, W. Fraser
DONGXIA GAO
HUGH, Judith C
DOWSETT, Mitch
NIELSEN, Torsten O
LEUNG, Samuel C. Y
MASTROPASQUA, Mauro G
McSHANE, Lisa M
POLLEY, Mei-Yin C
MEHL, Erika
ZABAGLO, Lila A
Author_xml – sequence: 1
  givenname: Mei-Yin C
  surname: POLLEY
  fullname: POLLEY, Mei-Yin C
  organization: Biometric Research Branch, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, United States
– sequence: 2
  givenname: Samuel C. Y
  surname: LEUNG
  fullname: LEUNG, Samuel C. Y
  organization: Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
– sequence: 3
  givenname: Allen M
  surname: GOWN
  fullname: GOWN, Allen M
  organization: PhenoPath Laboratories, Seattle, WA, United States
– sequence: 4
  givenname: W. Fraser
  surname: SYMMANS
  fullname: SYMMANS, W. Fraser
  organization: Department of Pathology, MD Anderson Cancer Center, Houston, TX, United States
– sequence: 5
  givenname: Tammy
  surname: PIPER
  fullname: PIPER, Tammy
  organization: Edinburgh Cancer Research Centre, Western General Hospital, Edinburgh, United Kingdom
– sequence: 6
  givenname: Erika
  surname: MEHL
  fullname: MEHL, Erika
  organization: Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
– sequence: 7
  givenname: Rebecca A
  surname: ENOS
  fullname: ENOS, Rebecca A
  organization: The EMMES Corporation, Rockville, MD, United States
– sequence: 8
  givenname: Daniel F
  surname: HAYES
  fullname: HAYES, Daniel F
  organization: Breast Oncology Program, University of Michigan Comprehensive Cancer Center, Ann Arbor, MI, United States
– sequence: 9
  givenname: Mitch
  surname: DOWSETT
  fullname: DOWSETT, Mitch
  organization: Academic Department of Biochemistry, Royal Marsden Hospital, London, United Kingdom
– sequence: 10
  givenname: Torsten O
  surname: NIELSEN
  fullname: NIELSEN, Torsten O
  organization: Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
– sequence: 11
  givenname: Lisa M
  surname: McSHANE
  fullname: McSHANE, Lisa M
  organization: Biometric Research Branch, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, United States
– sequence: 12
  surname: DONGXIA GAO
  fullname: DONGXIA GAO
  organization: Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
– sequence: 13
  givenname: Judith C
  surname: HUGH
  fullname: HUGH, Judith C
  organization: Department of Laboratory Medicine and Pathology, University of Alberta, Alberta, Canada
– sequence: 14
  givenname: Mauro G
  surname: MASTROPASQUA
  fullname: MASTROPASQUA, Mauro G
  organization: Division of Pathology and Laboratory Medicine, European Institute of Oncology, Milan, Italy
– sequence: 15
  givenname: Giuseppe
  surname: VIALE
  fullname: VIALE, Giuseppe
  organization: Division of Pathology and Laboratory Medicine, European Institute of Oncology, and University of Milan, Milan, Italy
– sequence: 16
  givenname: Lila A
  surname: ZABAGLO
  fullname: ZABAGLO, Lila A
  organization: Breakthrough Breast Cancer Research Centre, The Institute of Cancer Research, London, United Kingdom
– sequence: 17
  givenname: Frédérique
  surname: PENAULT-LLORCA
  fullname: PENAULT-LLORCA, Frédérique
  organization: Department of Pathology, Centre Jean Perrin, Clermont-Ferrand, France
– sequence: 18
  givenname: John M. S
  surname: BARTLETT
  fullname: BARTLETT, John M. S
  organization: Transformative Pathology, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
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https://www.ncbi.nlm.nih.gov/pubmed/24203987$$D View this record in MEDLINE/PubMed
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Snippet In breast cancer, immunohistochemical assessment of proliferation using the marker Ki67 has potential use in both research and clinical management. However,...
BACKGROUNDIn breast cancer, immunohistochemical assessment of proliferation using the marker Ki67 has potential use in both research and clinical management....
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SubjectTerms Biological and medical sciences
Biomarkers, Tumor - analysis
Breast cancer
Breast Neoplasms - immunology
Correlation analysis
Female
Humans
Immunohistochemistry
International Cooperation
Ki-67 Antigen - analysis
Laboratories
Laboratories - standards
Medical sciences
Observer Variation
Proteins
Reproducibility of Results
Standardization
Tissue Array Analysis - standards
Tumors
Title An International Ki67 Reproducibility Study
URI https://www.ncbi.nlm.nih.gov/pubmed/24203987
https://www.proquest.com/docview/1545858189
https://search.proquest.com/docview/1469646565
https://pubmed.ncbi.nlm.nih.gov/PMC3888090
Volume 105
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