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. 2021 May 18;113(11):1595–1596. doi: 10.1093/jnci/djab093

RE: Assessment of Ki67 in Breast Cancer: Updated Recommendations from the International Ki67 in Breast Cancer Working Group

Jiandi Zhang 1,, Maozhou Yang 1
PMCID: PMC8562964  PMID: 34003292

The commentary by Nielsen et al. (1) summarized over a decade of efforts by a group of dedicated oncologists (the International Ki67 in breast cancer Working Group [IKWG]) attempting to standardize immunohistochemistry (IHC)–based Ki67 assessment in daily clinical practice. A key recommendation in the commentary is that “in this T1-2, N0-1 patient group, the IKWG consensus is that Ki67 5% or less, or 30% or more, can be used to estimate prognosis.”

We replotted the results reported in figure 4a of a previous paper published by the same IKWG, showing independent assessment of the same 30 IHC slides from 22 different pathological laboratories (2) (Figure 1). The “5% or less, or 30% or more” recommendation was applied in the scatterplot by covering the space between 5% and 30% with a box. Clearly, there remains a lot of equivocal cases even after this recommendation is applied. In fact, consensus may be reached in only 4 out of 30 IHC slides.

Figure 1.

Figure 1.

The heat map of Ki67 scores in figure 4a from Leung et al. (2) was replotted based on the reported Ki67 scores. Each dot represented a Ki67 score from a pathological lab. There were 30 immunohistochemistry (IHC) slides, as indicated on the x-axis. For each slide, there were 22 Ki67 scores from independent pathological laboratories. The lower and upper sides of the box were 5% and 30% Ki67 scores, respectively. The covered area indicated those Ki67 scores not recommended to be used for prognosis by the International Ki67 in breast cancer Working Group (IKWG).

The IHC has been and will continue to be an indispensable part of clinical diagnostics. However, this is an inherent qualitative assay, never meant to be quantitative (3). This situation is unlikely to be improved by automatic scoring as suggested in the commentary, as it too is unable to convert a qualitative image into a quantitative result. Continuing efforts in this direction for Ki67 assessment would most likely be a waste of public resources.

Alternative Ki67 detection methods should be actively pursued (2,4-6), so objective and quantitative assessment of Ki67 protein levels can be realized in daily clinical practice to benefit millions of cancer patients worldwide.

Funding

None.

Notes

Role of the funder: Not applicable.

Disclosures: JZ and MY are employees of Quanticision Diagnostics, Inc, who has developed the Quantitative Dot Blot (QDB) method for objective quantitation of Ki67 protein levels for clinical diagnostics.

Author contributions: Conceptualization: JZ and MY. Visualization & Writing—original draft, JZ. Writing—review & editing: JZ and MY.

Data Availability

No new data were used or generated for this correspondence.

References

  • 1. Nielsen TO, Leung SCY, Rimm DL, et al. Assessment of Ki67 in breast cancer: updated recommendations from the International Ki67 in Breast Cancer Working Group. J Natl Cancer Inst. 2021;113(7):808--819. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Leung SCY, Nielsen TO, Zabaglo L, et al. ; on behalf of the International Ki67 in Breast Cancer Working Group of the Breast International Group and North American Breast Cancer Group (BIG-NABCG). Analytical validation of a standardized scoring protocol for Ki67: phase 3 of an international multicenter collaboration. NPJ Breast Cancer. 2016;2(1):16014. doi:10.1038/npjbcancer.2016.14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Rudbeck L. Adding quality to your qualitative IHC. MLO Med Lab Obs. 2015;47(12):18–19, 21. [PubMed] [Google Scholar]
  • 4. Hao J, Lv Y, Zou J, et al. Improving prognosis of surrogate assay for breast cancer patients by absolute quantitation of Ki67 protein levels using Quantitative Dot Blot (QDB) method. medRxiv. 2020;20034439.doi:10.1101/2020.03.11.20034439. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Hembrough T, Thyparambil S, Liao W-L, et al. Selected reaction monitoring (SRM) analysis of epidermal growth factor receptor (EGFR) in formalin fixed tumor tissue. Clin Proteomics. 2012;9(1):5.doi:10.1186/1559-0275-9-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. An E, Ock C-Y, Kim T-Y, et al. Quantitative proteomic analysis of HER2 expression in the selection of gastric cancer patients for trastuzumab treatment. Ann Oncol. 2017;28(1):110–115. doi:10.1093/annonc/mdw442. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

No new data were used or generated for this correspondence.


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