Visual assessment of Ki67 at a glance is an easy method to exclude many luminal-type breast cancers from counting 1000 cells

Breast Cancer. 2015 Mar;22(2):129-34. doi: 10.1007/s12282-013-0460-8. Epub 2013 Mar 31.

Abstract

Background: The Ki67 labeling index (LI) reflects the proliferative activity of breast cancers and defines luminal A and B tumors; however, no detailed method to measure Ki67 has been standardized. Here, we propose a fast and easy way to evaluate Ki67.

Methods: Immunohistochemical staining of estrogen receptor (ER), progesterone receptor (PgR), HER2 and Ki67 (MIB-1) was performed on 235 primary invasive ductal carcinomas. For each sample, a hot spot with many Ki67+ cells was identified using a low-power field (40×, 4× objective). Three independent areas in high-power field (400×) were selected at the hot spot, and all cancer cells in the 3 areas were manually counted to calculate LI (% Ki67+ cells). Alternatively, micrographs taken at 100× and 200× fields including the hot spot were shown to 2 pathologists, who visually assessed percentages of Ki67+ cells in 10 % intervals at a glance (Eye-10).

Results: Eye-10 and LI were strongly correlated (r = 0.9412, P < 0.0001). All cases of Eye-10 ≥ 30 % had LI > 14 %; most of those <10 % had LI < 14 %. Of 170 ER+/HER2- tumors, Eye-10-based subtypes matched 87 % of LI-driven subtypes, and interobserver agreement was good (κ = 0.705).

Conclusion: Eye-10 is far easier than counting many cancer cells and useful for classifying breast cancers. Eye-10 can exclude obviously high and low Ki67 cases, leaving a "gray zone" around a cutoff point. Combining Eye-10 and manual counting is a good candidate for a standard method to evaluate Ki67.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Breast Neoplasms / metabolism
  • Breast Neoplasms / pathology*
  • Carcinoma, Ductal, Breast / pathology
  • Female
  • Humans
  • Immunohistochemistry / methods*
  • Ki-67 Antigen / analysis*
  • Middle Aged
  • Receptor, ErbB-2 / metabolism
  • Receptors, Estrogen / metabolism
  • Receptors, Progesterone / metabolism

Substances

  • Ki-67 Antigen
  • Receptors, Estrogen
  • Receptors, Progesterone
  • ERBB2 protein, human
  • Receptor, ErbB-2