Evidence map›Paper›PMID 32572716›Full record

ArticleBreast cancer research and treatment2020

Prognostic potential of automated Ki67 evaluation in breast cancer: different hot spot definitions versus true global score.

Stephanie Robertson, Balazs Acs, Michael Lippert, Johan Hartman

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

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  17. Unsupervised domain adaptive tumor region recognition for Ki67 automated assisted quantification.International journal of computer assisted radiology and surgery · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Stephanie RobertsonDepartment of Oncology and Pathology, CCK, Karolinska Institutet, R8:04, 17176, Stockholm, Sweden. stephanie.robertson@ki.se.ORCID http://orcid.org/0000-0002-9843-3028
Balazs AcsDepartment of Oncology and Pathology, CCK, Karolinska Institutet, R8:04, 17176, Stockholm, Sweden.
Michael LippertVisiopharm A/S, Hoersholm, Denmark.
Johan HartmanDepartment of Oncology and Pathology, CCK, Karolinska Institutet, R8:04, 17176, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe proliferation-associated biomarker Ki67 has potential utility in breast cancer, including aiding decisions based on prognosis, but has unacceptable inter- and intralaboratory variability. The aim of this study was to compare the prognostic potential for Ki67 hot spot scoring and global scoring using different digital image analysis (DIA) platforms.

methodsAn ER+/HER2- breast cancer cohort (n = 139) with whole slide images of sequential sections stained for hematoxylin-eosin, pancytokeratin and Ki67, was analyzed using two DIA platforms. For hot spot analysis virtual dual staining was applied, aligning pancytokeratin and Ki67 images and 22 hot spot algorithms with different features were designed. For global Ki67 scoring an automated QuPath algorithm was applied on Ki67-stained whole slide images. Clinicopathological data included overall survival (OS) and recurrence-free survival (RFS) along with PAM50 molecular subtypes.

resultsWe show significant variations in Ki67 hot spot scoring depending on number of included tumor cells, hot spot size, shape and location. The higher the number of scored tumor cells, the higher the reproducibility of Ki67 proliferation values. Hot spot scoring had greater prognostic potential for RFS in high versus low Ki67 subgroups (hazard ratio (HR) 6.88, CI 2.07-22.87, p = 0.002), compared to global scoring (HR 3.13, CI 1.41-6.96, p = 0.005). Regarding OS, global scoring (HR 7.46, CI 2.46-22.58, p < 0.001) was slightly better than hot spot scoring (HR 6.93, CI 1.61-29.91, p = 0.009). In adjusted multivariate analysis, only global scoring was an independent prognostic marker for both RFS and OS. In addition, global Ki67-based surrogate subtypes reached higher concordance with PAM50 molecular subtype for luminal A and B tumors (66.3% concordance rate, κ = 0.345), than using hot spot scoring (55.8% concordance rate, κ = 0.250).

conclusionsWe conclude that the automated global Ki67 scoring is feasible and shows clinical validity, which, however, needs to be confirmed in a larger cohort before clinical implementation.

Indexed as

EstrogensAntigens, NeoplasmAutomationBreast NeoplasmsCarcinomaDisease-Free SurvivalErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesHumansImage Processing, Computer-AssistedKaplan-Meier EstimateKeratinsKi-67 AntigenMiddle AgedNeoplasm ProteinsAntigens, NeoplasmERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesEstrogensKeratinsKi-67 AntigenNeoplasm ProteinsReceptors, EstrogenBreast cancerDigital image analysisDigital pathologyImmunohistochemistryKi67

Identifiers

PMID32572716
PMCPMC7376512

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.