Assessment of Ki67 immunohistochemical expression as a prognostic marker in breast carcinoma
- Authors: Volkova L.V.1, Paramzin F.N.2, Pashov A.I.1, Musatov A.A.1, Ashrafyan L.A.3
-
Affiliations:
- Immanuel Kant Baltic Federal University
- Central City Clinical Hospital, Kaliningrad
- V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology of Minzdrav of Russia
- Issue: No 1S (2020): Supplement
- Pages: 81-85
- Section: Articles
- URL: https://journals.eco-vector.com/0300-9092/article/view/248779
- DOI: https://doi.org/10.18565/aig.2020.1suppl.81-85
- ID: 248779
Cite item
Open Access
Access granted
Abstract
Aim. To compare Ki-67 proliferation marker expression in unspecified type of breast cancer determined by traditional visual assessment and digital microscopy using PatternQuant software (QuantCenter 3DHISTECH). Material and methods. A comparative study including 50 patients with unspecified type of breast cancer was conducted to compare the determination of the Ki-67 proliferation marker by a pathologist using the traditional visual quantitative assessment and by digital microscopy using PatternQuant software (QuantCenter 3DHISTECH). Results. Despite comparable mean Ki-67 expressions, their maximum and minimum values determined by a pathologist were slightly higher than by automated assessment. This is especially important in determining a threshold for Ki-67 expression (14%) in each individual case to distinguish molecular subtypes of breast cancer. Conclusion To objectify the quantitative assessment, a further standardized examination of breast cancer proliferation markers is recommended, especially in cases of significant tumor heterogeneity.
Full Text
About the authors
Larisa V. Volkova
Immanuel Kant Baltic Federal University
Email: volkova-lr@rambler.ru
Fedor N. Paramzin
Central City Clinical Hospital, Kaliningrad
Email: fedia93@gmail.com
Aleksander I. Pashov
Immanuel Kant Baltic Federal University
Email: pachov@mail.ru
Aleksey A. Musatov
Immanuel Kant Baltic Federal University
Email: sayaleks@gmail.com
Lev A. Ashrafyan
V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology of Minzdrav of Russia
Email: evaa2004@yahoo.com
References
- Каприн А.Д., Старинский В.В., Петрова Г.В. Состояние онкологической помощи населению России в 2018 году. М.: ФГБУ «МНИОИ им. ПА Герцена» - филиал ФГБУ «НМИЦ радиологии» Минздрава России. 2019. 30c.
- Penault-Llorca F., Radosevic-Robin N. Ki67 assessment in breast cancer: an update.Pathology. 2017; 49(2): 166-71. doi: 10.1016/j.pathol.2016.11.006
- Jing N., Fang C., Williams D.S. Validity and reliability of Ki-67 assessment in oestrogen receptor positive breast cancer. Pathology. 2017; 49(4): 371-8. doi: 10.1016/j.pathol.2017.02.001.
- Rakha E.A., Green A.R. Molecular classification of breast cancer: what the pathologist needs to know. Pathology. 2017; 49(2): 111-9. doi: 10.1016/j. pathol.2016.10.012.
- Harvey J., Thomas C., Wood B., Hardie M., Dessauvagie B., Combrinck M., Frost F.A., Sterrett G. Practical issues concerning the implementation of Ki-67 proliferative index measurement in breast cancer reporting. Pathology. 2015; 47(1): 13-20. doi: 10.1097/PAT.0000000000000192.
- Кушнарев В.А., Артемьева Е.С., Кудайбергенова А.Г. Сравнение цифрового и визуального методов для оценки индекса Ki-67 в инвазивных карциномах молочной железы. Архив патологии. 2018; 80(2): 38-42. doi: 10.17116/patol201880238-42
- Elmore J.G., Nelson H.D., Pepe M.S., Longton G.M., Tosteson A.N., Geller B., Onega T., Carney P.A., Jackson S.L., Allison K.H., Weaver D.L. Variability in pathologists’ interpretations of individual breast biopsy slides: a population perspective. Ann Intern Med. 2016; 164(10): 649-55. doi: 10.7326/ M15-0964.
- Williams B.J., Hanby A., Millican-Slater R., Nijhawan A., Verghese E., Treanor D. Digital pathology for the primary diagnosis of breast histopathological specimens: an innovative validation and concordance study on digital pathology validation and training. Histopathology. 2018; 72(4): 662-71. doi: 10.1111/his.13403.
- Del Rosario Taco Sanchez M., Soler-Monso T., Petit A., Azcarate J., Lasheras A., Artal C., Gil M., Falo C., Pla M.J., Matias-Guiu X. Digital quantification of KI-67 in breast cancer. Virchows Archiv. 2019; 474(2): 169-76. doi: 10.1007/ s00428-018-2481-3.
- Elmore J.G., Longton G.M., Pepe M.S., Carney PA, Nelson H.D., Allison K.H., Geller B.M., Onega T., Tosteson A.N., Mercan E., Shapiro L.G., Brunye T.T., Morgan T.R., Weaver D.L. A randomized study comparing digital imaging to traditional glass slide microscopy for breast biopsy and cancer diagnosis. J. Pathol Inform. 2017; 8:12. doi: 10.4103/2153-3539.201920.
- Joshi S., Watkins J., Gazinska P., et al. Digital imaging in the immunohistochemical evaluation of the proliferation markers Ki67, MCM2 and Geminin, in early breast cancer, and their putative prognostic value. BMC Cancer. 2015; 15: 546. doi: 10.1186/s12885-015-1531-3
- Menter D.G., Hoque A., Motiwala N., Sahin A.A., Sneige N., Lieberman R., Lippman S.M. Computerized image analysis of Ki-67 in ductal breast carcinoma in situ. Anal Quant Cytol Histol. 2001; 23(3): 218-28. PMID: 11444192
- Прилепская Е.А., и др. Возможности автоматизированного анализа изображений в патологии. Архив патологии. 2016; 78(1): 51-5. 10.17116/ patol201678151-55
- Zhong F., Bi R., Yu B., Yang F., Yang W., Shui R. A comparison of visual assessment and automated digital image analysis of Ki67 labeling index in breast cancer. PloS one. 2016; 11(2): e0150505. doi: 10.1371/journal.pone.0150505
- Varga Z., Cassoly E., Li Q., Oehlschlegel C., Tapia C., Lehr H.A., Klingbiel D., Thurlimann B., Ruhstaller T. Standardization for Ki-67 assessment in moderately differentiated breast cancer. A retrospective analysis of the SAKK 28/12 study. PLoS One. 2015; 10(4): e0123435. doi: 10.1371/journal.pone.0123435
- Plancoulaine B., Laurinaviciene A., Herlin P., Besusparis J., Meskauskas R., Baltrusaityte I., Iqbal Y., Laurinavicius A. A methodology for comprehensive breast cancer Ki67 labeling index with intra-tumor heterogeneity appraisal based on hexagonal tiling of digital image analysis data. Virchows Archiv. 2015; 467(6): 711-22. doi: 10.1007/s00428-015-1865-x
- Rakha E.A., Aleskandarani M., Toss M.S., et al. Breast cancer histologic grading using digital microscopy: concordance and outcome association. Journal of clinical pathology. 2018; 71(8): 680-6. doi: 10.1136/jclinpath-2017-204979
Supplementary files
