Impact of Primary Antibody Clone, Format, and Stainer Platform on Ki67 Proliferation Indices in Breast Carcinomas

被引:14
作者
Roge, Rasmus [1 ,2 ]
Nielsen, Soren [1 ]
Riber-Hansen, Rikke [3 ]
Vyberg, Mogens [1 ,2 ]
机构
[1] Aarhus Univ Hosp, Inst Pathol, Ladegaardsgade 3, DK-9000 Aarhus, Denmark
[2] Aalborg Univ, Dept Clin Med, Aalborg, Denmark
[3] Aarhus Univ Hosp, Inst Pathol, Aarhus N, Denmark
关键词
Ki67; immunohistochemistry; breast carcinoma; digital image analysis; standardization; INTERNATIONAL EXPERT CONSENSUS; PRIMARY THERAPY; CANCER; KI-67; IMMUNOHISTOCHEMISTRY; SP6;
D O I
10.1097/PAI.0000000000000799
中图分类号
R602 [外科病理学、解剖学]; R32 [人体形态学];
学科分类号
100101 ;
摘要
Ki67 is a nuclear protein expressed during the active phases of the cell cycle, which makes it a biomarker of cell proliferation. In clinical pathology settings, immunohistochemical (IHC) detection of Ki67 is used to calculate Ki67 proliferation indices (PIs), which have prognostic information and are used to subdivide breast carcinomas and neuroendocrine neoplasias. Calculation of Ki67 PIs is notoriously hard and prone to intraobserver and interobserver variance. In addition, IHC protocol settings [such as primary antibody (Ab) clone, clone format, and stainer platform] can affect the result of the IHC assays and in turn the Ki67 PI. Digital image analysis has been suggested as a useful tool to standardize Ki67 counting. Recently, virtual double staining, a computer algorithm segmenting Ki67(+) and Ki67(-) tumor cells using digitally fused parallel cytokeratin and Ki67-stained slides, has been introduced. In this study, we compare Ki67 PIs obtained by virtual double staining in 41 breast carcinomas stained using the most commonly used commercially available primary Ab clones and formats on the main stainer platforms. IHC protocols for the concentrated (conc) Ab and platform combinations were optimized for the highest analytical sensitivity and optimal signal-to-noise ratio, whereas ready-to-use (RTU) formats were used, as recommended by the vendor. Significant differences in the mean Ki67 PIs (relativized to the mean core Ki67) were observed not only between the different Ab clones but also the different formats and stainer platforms; Ki67 PIs with SP6 conc stained on the Ventana BenchMark ULTRA platform were on average 11.9 percentage points (pp) higher than the mean core average, whereas with Ab 30.9 RTU on the Ventana platform, they were 10.4 pp higher. Mib1 RTU (Dako Autostainer Link 48) and MM1 RTU (Leica Bond) provided 8.6 and 12.5 pp lower Ki67 PIs, respectively. Mib1 conc and SP6 conc on the Dako Autostainer and Leica Bond provided similar results-close to the overall average. Significant variations in the proportion of tumors with Ki67 high-level expression (Ki67 PI >= 20%) were observed among Ab, format, and stainer platform combinations. The results underline the challenges in the comparison of Ki67 PIs across Abs, formats, and platforms. Researchers and clinicians need to account for these differences when reporting Ki67 PIs. To advance the usefulness of Ki67 PIs in the research and clinical setting, standardization of Ki67 IHC assays is needed.
引用
收藏
页码:732 / 739
页数:8
相关论文
共 22 条
[1]  
Booth DG, 2014, ELIFE, V2014, P1
[2]  
Bosman FT, 2010, IARC WHO CLASSIFICAT, V3, P417
[3]   Tailoring therapies-improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015 [J].
Coates, A. S. ;
Winer, E. P. ;
Goldhirsch, A. ;
Gelber, R. D. ;
Gnant, M. ;
Piccart-Gebhart, M. ;
Thuerlimann, B. ;
Senn, H. -J. .
ANNALS OF ONCOLOGY, 2015, 26 (08) :1533-1546
[4]   Assessment of Ki67 in Breast Cancer: Recommendations from the International Ki67 in Breast Cancer Working Group [J].
Dowsett, Mitch ;
Nielsen, Torsten O. ;
A'Hern, Roger ;
Bartlett, John ;
Coombes, R. Charles ;
Cuzick, Jack ;
Ellis, Matthew ;
Henry, N. Lynn ;
Hugh, Judith C. ;
Lively, Tracy ;
McShane, Lisa ;
Paik, Soon ;
Penault-Llorca, Frederique ;
Prudkin, Ljudmila ;
Regan, Meredith ;
Salter, Janine ;
Sotiriou, Christos ;
Smith, Ian E. ;
Viale, Giuseppe ;
Zujewski, Jo Anne ;
Hayes, Daniel F. .
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2011, 103 (22) :1656-1664
[5]   Immunohistochemical assessment of Ki67 with antibodies SP6 and MIB1 in primary breast cancer: a comparison of prognostic value and reproducibility [J].
Ekholm, Maria ;
Beglerbegovic, Sanda ;
Grabau, Dorthe ;
Lovgren, Kristina ;
Malmstrom, Per ;
Hartman, Linda ;
Ferno, Marten .
HISTOPATHOLOGY, 2014, 65 (02) :252-260
[6]   Proliferative activity in human breast cancer: Ki-67 automated evaluation and the influence of different Ki-67 equivalent antibodies [J].
Fasanella, S. ;
Leonardi, E. ;
Cantaloni, C. ;
Eccher, C. ;
Bazzanella, I. ;
Aldovini, D. ;
Bragantini, E. ;
Morelli, L. ;
Cuorvo, L. V. ;
Ferro, A. ;
Gasperetti, F. ;
Berlanda, G. ;
Dalla Palma, P. ;
Barbareschi, M. .
DIAGNOSTIC PATHOLOGY, 2011, 6
[7]   St Gallen 2015 subtyping of luminal breast cancers: impact of different Ki67-based proliferation assessment methods [J].
Focke, Cornelia M. ;
van Diest, Paul J. ;
Decker, Thomas .
BREAST CANCER RESEARCH AND TREATMENT, 2016, 159 (02) :257-263
[8]   Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013 [J].
Goldhirsch, A. ;
Winer, E. P. ;
Coates, A. S. ;
Gelber, R. D. ;
Piccart-Gebhart, M. ;
Thuerlimann, B. ;
Senn, H. -J. .
ANNALS OF ONCOLOGY, 2013, 24 (09) :2206-2223
[9]   Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry [J].
Inwald, E. C. ;
Klinkhammer-Schalke, M. ;
Hofstaedter, F. ;
Zeman, F. ;
Koller, M. ;
Gerstenhauer, M. ;
Ortmann, O. .
BREAST CANCER RESEARCH AND TREATMENT, 2013, 139 (02) :539-552
[10]   Digital image analysis of Ki67 proliferation index in breast cancer using virtual dual staining on whole tissue sections: clinical validation and inter-platform agreement [J].
Koopman, Timco ;
Buikema, Henk J. ;
Hollema, Harry ;
de Bock, Geertruida H. ;
van der Vegt, Bert .
BREAST CANCER RESEARCH AND TREATMENT, 2018, 169 (01) :33-42