Evidence map›Paper›PMID 35997652›Full record

ArticleHistopathology2022

Ki67 assessment in invasive luminal breast cancer: a comparative study between different scoring methods.

Ayat Lashen, Michael S Toss, Andrew R Green, Nigel P Mongan, Emad Rakha

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Histopathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

19 citing papers in PubMed, 37 citations in OpenAlex.

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  9. Patient outcomes and clinician perspectives following one year ofTranslational breast cancer research : a journal focusing on translational research in breast cancer · 2025
    Article
  10. Prognostic and Clinical Significance of the Proliferation Marker MCM7 in Breast Cancer.Pathobiology : journal of immunopathology, molecular and cellular biology · 2025
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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

5 authors at 1 institution in 3 countries.

Ayat LashenAcademic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0001-9494-7382
Michael S TossAcademic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0002-9077-3984
Andrew R GreenAcademic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0002-0488-5913
Nigel P MonganSchool of Veterinary Medicine and Sciences, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0001-5438-1126
Emad RakhaAcademic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham, Nottingham, UK.ORCID https://orcid.org/0000-0002-5009-5525
University of Nottingham · GB

Funding

Egyptian Ministry of Higher Education
6 · The paper itself

Abstract

backgroundKi67 reflects the proliferation activity in breast cancer (BC). However, an optimal method for its assessment in clinical settings has yet to be robustly defined. In this study we compared several methods to score Ki67 to identify a reliable and reproducible method for routine practice.

methodsSections from luminal BC cohort (n = 1662) were immunohistochemically stained with Ki67 and were assessed for the percentage, pattern, and intensity of expression. Ki67 positivity was evaluated using three methods: (i) quantification of Ki67-positive cells among 1000 invasive tumour cells within hotspot, (ii) average estimation of Ki67 within a defined hotspot, and (iii) average estimation of Ki67 positivity within the whole section. Time required for scoring, interobserver agreement and association with outcome were determined.

resultsThe mean percentage of Ki67 expression per 1000 cells method was 16%, while the mean value of Ki67 scores using the average estimation within hotspot and whole slide were 14% and 12%, respectively. Quantification of Ki67-positive cells within 1000 cells had the highest degree of consistency between observers, and the highest hazard ratio predicting patient outcome when compared to using different common Ki67 cutoffs, which was independent of the other two methods. Granular pattern of Ki67 expression was associated with poorer outcome as compared to the other patterns.

conclusionAssessment of Ki67 expression using quantification positive cells among 1000 tumour cells is an optimal method to achieve high reliability and reproducibility. Comment on the predominant Ki67 expression pattern would add prognostic and predictive value in luminal BC.

Indexed as

Breast NeoplasmsFemaleHumansKi-67 AntigenPrognosisReproducibility of ResultsResearch DesignKi-67 Antigenassessmentbreast cancerhotspotKi67methods

Identifiers

PMID35997652
PMCPMC9826086
OpenAlexW4292756159

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.