Evidence map›Paper›PMID 32302928›Full record

ArticleBreast (Edinburgh, Scotland)2020

Do YOU know the Ki-67 index of your breast cancer patients? Knowledge of your institution's Ki-67 index distribution and its robustness is essential for decision-making in early breast cancer.

Angela Fischer Maranta, Simon Broder, Constanze Fritzsche, Michael Knauer, Beat Thürlimann, Wolfram Jochum, Thomas Ruhstaller

Open access · goldAbstract read
In one paragraph

Article in Breast (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 31 citations in OpenAlex.

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  11. Genomic Signatures in Luminal Breast Cancer.Breast care (Basel, Switzerland) · 2020
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Angela Fischer MarantaDepartment of Oncology, St. Gallen Cantonal Hospital, Rorschacher Strasse 95, 9007, St. Gallen, Switzerland. Electronic address: angela.fischer@ksgr.ch.
Simon BroderDepartment of Oncology, St. Gallen Cantonal Hospital, Rorschacher Strasse 95, 9007, St. Gallen, Switzerland.
Constanze FritzscheInstitute of Pathology, St. Gallen Cantonal Hospital, Rorschacher Strasse 95, 9007, St. Gallen, Switzerland.
Michael KnauerBreast Center, St. Gallen Cantonal Hospital, Rorschacher Strasse 95, 9007, St. Gallen, Switzerland.
Beat ThürlimannBreast Center, St. Gallen Cantonal Hospital, Rorschacher Strasse 95, 9007, St. Gallen, Switzerland.
Wolfram JochumInstitute of Pathology, St. Gallen Cantonal Hospital, Rorschacher Strasse 95, 9007, St. Gallen, Switzerland.
Thomas RuhstallerBreast Center, St. Gallen Cantonal Hospital, Rorschacher Strasse 95, 9007, St. Gallen, Switzerland; Faculty of Medicine, University of Basel, Petersplatz 1, 4001, Basel, Switzerland.
Kantonsspital St. Gallen · CHUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe proliferative activity of the Ki-67 index is important in decision-making of adjuvant treatments in early breast cancer. Its reliability can be reduced by inter-observer variability. This analysis' objective is to evaluate the robustness of Ki-67 values within one center over 5 years and to compare its distribution with a published dataset. MATERIALS AND

methodsKi-67 indices of early breast cancers treated at St. Gallen Breast Center were collected (2010-2014; 1154 patients). Distribution of Ki-67 values was analyzed for each year, along with histologic subtype and grading. Tumors were classified into intrinsic subtypes using two definitions: 2013 St. Gallen Consensus and the refined definition by Maisonneuve ("Milano Group"). Our institution's Ki-67 cut-off value was adjusted to obtain the same distribution of luminal subtypes as published data of the Milano Group.

resultsKi-67 index frequency distributions were comparable between years (mean 26-30%, median 22-26%). Shape and position of the distribution curves were nearly identical. Ki-67 values correlated with tumor grade (median Ki-67: G1: 12.0%, G2: 21%, G3: 38%). Standard deviation of Ki-67 increased with higher grading (G1: 6.9; G2: 9.2; G3: 18.2; p < 0.001). According to the 2013 definition (and refined definition respectively), there were 35% (41%) luminal A-like and 65% (59%) luminal B-like tumors. To obtain the same distribution as the Milano group, Ki-67 cut-off needed to be elevated to 22%.

conclusionsKi-67 index assessment was comparable over many years. Knowledge of one's institution's Ki-67 value distribution is essential for clinical decision-making of adjuvant therapies in early breast cancer.

Indexed as

Ki-67 AntigenBiomarkers, TumorBreast NeoplasmsClinical Decision-MakingFemaleHumansReference ValuesReproducibility of ResultsRetrospective StudiesTherapeutic IndexBiomarkers, TumorKi-67 AntigenEarly breast cancerIntrinsic subtypeKi-67Luminal type

Identifiers

PMID32302928
PMCPMC7375657
OpenAlexW3013263800

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.