Comparison of 5 Ki-67 antibodies regarding reproducibility and capacity to predict prognosis in breast cancer: does the antibody matter?
Although several antibodies are available for immunohistochemical detection of Ki-67, even the most commonly used MIB-1 has not been validated yet. Our aim was to compare 5 commercially available antibodies for detection of Ki-67 in terms of agreement and their ability in predicting prognosis of bre...
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Published in | Human pathology Vol. 65; pp. 31 - 40 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Inc
01.07.2017
Elsevier Limited |
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Online Access | Get full text |
ISSN | 0046-8177 1532-8392 |
DOI | 10.1016/j.humpath.2017.01.011 |
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Abstract | Although several antibodies are available for immunohistochemical detection of Ki-67, even the most commonly used MIB-1 has not been validated yet. Our aim was to compare 5 commercially available antibodies for detection of Ki-67 in terms of agreement and their ability in predicting prognosis of breast cancer. Tissue microarrays were constructed from 378 breast cancer patients' representative formalin-fixed, paraffin-embedded tumor blocks. Five antibodies were used to detect Ki-67 expression: MIB-1 using chromogenic detection and immunofluorescent-labeled MIB-1, SP-6, 30-9, poly, and B56. Semiquantitative assessment was performed by 2 pathologists independently on digitized slides. To compare the 5 antibodies, intraclass correlation and concordance correlation coefficient were used. All the antibodies but immunofluorescent-labeled MIB-1 (at 20% and 30% thresholds, P=.993 and P=.342, respectively) and B56 (at 30% threshold, P=.288) separated high- and low-risk patient groups. However, there were a significant difference (P values for all comparisons≤.005) and a moderate concordance (intraclass correlation, 0.645) between their Ki-67 labeling index scores. The highest concordance was found between MIB-1 and poly (concordance correlation coefficient=0.785) antibodies. None of the antibodies except Ki-67 labeling index as detected by poly (P=.031) at 20% threshold and lymph node status (P<.001) were significantly linked to disease-free survival in multivariate analysis. At 30% threshold, this was reduced to lymph node status (P<.001) alone. Our results showed that there are considerable differences between the different Ki-67 antibodies in their capacity to detect proliferating tumor cells and to separate low- and high-risk breast cancer patient groups.
•SP6, 30-9, poly, B56, MIB-1, and immunofluorescent-labeled MIB-1 antibodies were compared.•Significant difference occurred between all Ki-67 LI assessments of the 5 antibodies.•Highest concordance/agreement was observed between MIB-1 and poly, and 30-9 and poly.•All investigated Ki-67 antibodies have prognostic potential except MIB-1–IF and B56.•Only poly antibody was an independent predictor of prognosis at 20% threshold. |
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AbstractList | Although several antibodies are available for immunohistochemical detection of Ki-67, even the most commonly used MIB-1 has not been validated yet. Our aim was to compare 5 commercially available antibodies for detection of Ki-67 in terms of agreement and their ability in predicting prognosis of breast cancer. Tissue microarrays were constructed from 378 breast cancer patients' representative formalin-fixed, paraffin-embedded tumor blocks. Five antibodies were used to detect Ki-67 expression: MIB-1 using chromogenic detection and immunofluorescent-labeled MIB-1, SP-6, 30-9, poly, and B56. Semiquantitative assessment was performed by 2 pathologists independently on digitized slides. To compare the 5 antibodies, intraclass correlation and concordance correlation coefficient were used. All the antibodies but immunofluorescent-labeled MIB-1 (at 20% and 30% thresholds,P=.993 andP=.342, respectively) and B56 (at 30% threshold,P=.288) separated high- and low-risk patient groups. However, there were a significant difference (Pvalues for all comparisons<=.005) and a moderate concordance (intraclass correlation,0.645) between their Ki-67 labeling index scores. The highest concordance was found between MIB-1 and poly (concordance correlation coefficient=0.785) antibodies. None of the antibodies except Ki-67 labeling index as detected by poly (P=.031) at 20% threshold and lymph node status (P<.001) were significantly linked to disease-free survival in multivariate analysis. At 30% threshold, this was reduced to lymph node status (P<.001) alone. Our results showed that there are considerable differences between the different Ki-67 antibodies in their capacity to detect proliferating tumor cells and to separate low- and high-risk breast cancer patient groups. Although several antibodies are available for immunohistochemical detection of Ki-67, even the most commonly used MIB-1 has not been validated yet. Our aim was to compare 5 commercially available antibodies for detection of Ki-67 in terms of agreement and their ability in predicting prognosis of breast cancer. Tissue microarrays were constructed from 378 breast cancer patients' representative formalin-fixed, paraffin-embedded tumor blocks. Five antibodies were used to detect Ki-67 expression: MIB-1 using chromogenic detection and immunofluorescent-labeled MIB-1, SP-6, 30-9, poly, and B56. Semiquantitative assessment was performed by 2 pathologists independently on digitized slides. To compare the 5 antibodies, intraclass correlation and concordance correlation coefficient were used. All the antibodies but immunofluorescent-labeled MIB-1 (at 20% and 30% thresholds, P=.993 and P=.342, respectively) and B56 (at 30% threshold, P=.288) separated high- and low-risk patient groups. However, there were a significant difference (P values for all comparisons≤.005) and a moderate concordance (intraclass correlation, 0.645) between their Ki-67 labeling index scores. The highest concordance was found between MIB-1 and poly (concordance correlation coefficient=0.785) antibodies. None of the antibodies except Ki-67 labeling index as detected by poly (P=.031) at 20% threshold and lymph node status (P<.001) were significantly linked to disease-free survival in multivariate analysis. At 30% threshold, this was reduced to lymph node status (P<.001) alone. Our results showed that there are considerable differences between the different Ki-67 antibodies in their capacity to detect proliferating tumor cells and to separate low- and high-risk breast cancer patient groups. •SP6, 30-9, poly, B56, MIB-1, and immunofluorescent-labeled MIB-1 antibodies were compared.•Significant difference occurred between all Ki-67 LI assessments of the 5 antibodies.•Highest concordance/agreement was observed between MIB-1 and poly, and 30-9 and poly.•All investigated Ki-67 antibodies have prognostic potential except MIB-1–IF and B56.•Only poly antibody was an independent predictor of prognosis at 20% threshold. Although several antibodies are available for immunohistochemical detection of Ki-67, even the most commonly used MIB-1 has not been validated yet. Our aim was to compare 5 commercially available antibodies for detection of Ki-67 in terms of agreement and their ability in predicting prognosis of breast cancer. Tissue microarrays were constructed from 378 breast cancer patients' representative formalin-fixed, paraffin-embedded tumor blocks. Five antibodies were used to detect Ki-67 expression: MIB-1 using chromogenic detection and immunofluorescent-labeled MIB-1, SP-6, 30-9, poly, and B56. Semiquantitative assessment was performed by 2 pathologists independently on digitized slides. To compare the 5 antibodies, intraclass correlation and concordance correlation coefficient were used. All the antibodies but immunofluorescent-labeled MIB-1 (at 20% and 30% thresholds, P=.993 and P=.342, respectively) and B56 (at 30% threshold, P=.288) separated high- and low-risk patient groups. However, there were a significant difference (P values for all comparisons≤.005) and a moderate concordance (intraclass correlation, 0.645) between their Ki-67 labeling index scores. The highest concordance was found between MIB-1 and poly (concordance correlation coefficient=0.785) antibodies. None of the antibodies except Ki-67 labeling index as detected by poly (P=.031) at 20% threshold and lymph node status (P<.001) were significantly linked to disease-free survival in multivariate analysis. At 30% threshold, this was reduced to lymph node status (P<.001) alone. Our results showed that there are considerable differences between the different Ki-67 antibodies in their capacity to detect proliferating tumor cells and to separate low- and high-risk breast cancer patient groups. Summary Although several antibodies are available for immunohistochemical detection of Ki-67, even the most commonly used MIB-1 has not been validated yet. Our aim was to compare 5 commercially available antibodies for detection of Ki-67 in terms of agreement and their ability in predicting prognosis of breast cancer. Tissue microarrays were constructed from 378 breast cancer patients' representative formalin-fixed, paraffin-embedded tumor blocks. Five antibodies were used to detect Ki-67 expression: MIB-1 using chromogenic detection and immunofluorescent-labeled MIB-1, SP-6, 30-9, poly, and B56. Semiquantitative assessment was performed by 2 pathologists independently on digitized slides. To compare the 5 antibodies, intraclass correlation and concordance correlation coefficient were used. All the antibodies but immunofluorescent-labeled MIB-1 (at 20% and 30% thresholds, P = .993 and P = .342, respectively) and B56 (at 30% threshold, P = .288) separated high- and low-risk patient groups. However, there were a significant difference ( P values for all comparisons ≤.005) and a moderate concordance (intraclass correlation, 0.645) between their Ki-67 labeling index scores. The highest concordance was found between MIB-1 and poly (concordance correlation coefficient = 0.785) antibodies. None of the antibodies except Ki-67 labeling index as detected by poly ( P = .031) at 20% threshold and lymph node status ( P < .001) were significantly linked to disease-free survival in multivariate analysis. At 30% threshold, this was reduced to lymph node status ( P < .001) alone. Our results showed that there are considerable differences between the different Ki-67 antibodies in their capacity to detect proliferating tumor cells and to separate low- and high-risk breast cancer patient groups. |
Author | Győrffy, Balázs Madaras, Lilla Teleki, Ivett Meczker, Ágnes Ács, Balázs Kovács, Kristóf Attila Kulka, Janina Szász, Attila Marcell Tőkés, Anna-Mária Krenács, Tibor |
Author_xml | – sequence: 1 givenname: Balázs surname: Ács fullname: Ács, Balázs email: acs.balazs.se@gmail.com organization: 2nd Department of Pathology, Semmelweis University, Budapest 1091, Hungary – sequence: 2 givenname: Janina surname: Kulka fullname: Kulka, Janina email: kulka.janina@med.semmelweis-univ.hu organization: 2nd Department of Pathology, Semmelweis University, Budapest 1091, Hungary – sequence: 3 givenname: Kristóf Attila surname: Kovács fullname: Kovács, Kristóf Attila email: kovacs.attila@med.semmelweis-univ.hu organization: 2nd Department of Pathology, Semmelweis University, Budapest 1091, Hungary – sequence: 4 givenname: Ivett surname: Teleki fullname: Teleki, Ivett email: telekiivett@gmail.com organization: 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest 1085, Hungary – sequence: 5 givenname: Anna-Mária surname: Tőkés fullname: Tőkés, Anna-Mária email: tokesa1972@yahoo.co.uk organization: MTA-SE Tumor Progression Research Group, 2nd Department of Pathology, Semmelweis University, Budapest 1091, Hungary – sequence: 6 givenname: Ágnes surname: Meczker fullname: Meczker, Ágnes email: agnes.meczker@aok.pte.hu organization: Institute of Physiology, University of Pécs, Pécs 7624, Hungary – sequence: 7 givenname: Balázs surname: Győrffy fullname: Győrffy, Balázs email: zsalab2@yahoo.com organization: MTA-TTK Lendület Cancer Biomarker Research Group, Budapest 1117, Hungary – sequence: 8 givenname: Lilla surname: Madaras fullname: Madaras, Lilla email: madaras.lilla@med.semmelweis-univ.hu organization: 2nd Department of Pathology, Semmelweis University, Budapest 1091, Hungary – sequence: 9 givenname: Tibor surname: Krenács fullname: Krenács, Tibor email: krenacs.tibor@med.semmelweis-univ.hu organization: 1st Department of Pathology and Experimental Cancer Research, Semmelweis University, MTA-SE Tumor Progression Research Group, Budapest 1085, Hungary – sequence: 10 givenname: Attila Marcell surname: Szász fullname: Szász, Attila Marcell email: cac@korb2.sote.hu organization: 2nd Department of Pathology, Semmelweis University, Budapest 1091, Hungary |
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Keywords | Ki-67 antibody Breast cancer Prognosis Multivariate analysis Concordance |
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Snippet | Although several antibodies are available for immunohistochemical detection of Ki-67, even the most commonly used MIB-1 has not been validated yet. Our aim was... Summary Although several antibodies are available for immunohistochemical detection of Ki-67, even the most commonly used MIB-1 has not been validated yet. Our... |
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SubjectTerms | Adult Aged Aged, 80 and over Antibodies - immunology Antibody Specificity Automation Biopsy Breast cancer Breast Neoplasms - chemistry Breast Neoplasms - immunology Breast Neoplasms - pathology Breast Neoplasms - therapy Cancer therapies Cell cycle Cell Proliferation Chemotherapy Concordance Disease-Free Survival Female Fluorescent Antibody Technique Gene expression Histopathology Humans Immunoglobulins Immunohistochemistry - methods Ki-67 antibody Ki-67 Antigen - analysis Ki-67 Antigen - immunology Lymphatic Metastasis Medical prognosis Middle Aged Multivariate Analysis Observer Variation Pathology Patients Predictive Value of Tests Prognosis Proteins Reproducibility Reproducibility of Results Retrospective Studies Risk Assessment Risk Factors Software Studies Time Factors |
Title | Comparison of 5 Ki-67 antibodies regarding reproducibility and capacity to predict prognosis in breast cancer: does the antibody matter? |
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