Evidence map›Paper›PMID 32801916›Full record

ArticleClinical epidemiology2020

Digital Image Analysis of Ki-67 Stained Tissue Microarrays and Recurrence in Tamoxifen-Treated Breast Cancer Patients.

Nina Gran Egeland, Kristin Jonsdottir, Kristina Lystlund Lauridsen, Ivar Skaland, Cathrine F Hjorth, Einar G Gudlaugsson, Stephen Hamilton-Dutoit, Timothy L Lash, Deirdre Cronin-Fenton, Emiel A M Janssen

Open access · goldAbstract read
In one paragraph

Article in Clinical epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Small Leucine-Rich ProteoglycanCurrent issues in molecular biology · 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

10 authors at 3 institutions in 3 countries.

Nina Gran EgelandDepartment of Pathology, Stavanger University Hospital, Stavanger, Norway.
Kristin JonsdottirDepartment of Pathology, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0001-9772-925X
Kristina Lystlund LauridsenInstitute of Pathology, Aarhus University Hospital, Aarhus, Denmark.
Ivar SkalandDepartment of Pathology, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0002-3950-0729
Cathrine F HjorthDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0003-4378-8531
Einar G GudlaugssonDepartment of Pathology, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0003-2133-3958
Stephen Hamilton-DutoitInstitute of Pathology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0003-2158-3885
Timothy L LashDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-5240-5195
Deirdre Cronin-Fenton *Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0001-9738-2284
Emiel A M Janssen *Department of Pathology, Stavanger University Hospital, Stavanger, Norway.ORCID 0000-0002-7760-5396
Stavanger University Hospital · NOAarhus University Hospital · DKEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe proliferation marker Ki-67 has been used as a prognostic marker to separate low- and high-risk breast cancer subtypes and guide treatment decisions for adjuvant chemotherapy. The association of Ki-67 with response to tamoxifen therapy is unclear. High-throughput automated scoring of Ki-67 might enable standardization of quantification and definition of clinical cut-off values. We hypothesized that digital image analysis (DIA) of Ki-67 can be used to evaluate proliferation in breast cancer tumors, and that Ki-67 may be associated with tamoxifen resistance in early-stage breast cancer. PATIENTS AND

methodsHere, we apply DIA technology from Visiopharm using a custom designed algorithm for quantifying the expression of Ki-67, in a case-control study nested in the Danish Breast Cancer Group clinical database, consisting of stages I, II, or III breast cancer patients of 35-69 years of age, diagnosed during 1985-2001, in the Jutland peninsula, Denmark. We assessed DIA-Ki-67 score on tissue microarrays (TMAs) from breast cancer patients in a case-control study including 541 ER-positive and 300 ER-negative recurrent cases and their non-recurrent controls, matched on ER-status, cancer stage, menopausal status, year of diagnosis, and county of residence. We used logistic regression to estimate odds ratios and associated 95% confidence intervals to determine the association of Ki-67 expression with recurrence risk, adjusting for matching factors, chemotherapy, type of surgery, receipt of radiation therapy, age category, and comorbidity.

resultsKi-67 was not associated with increased risk of recurrence in tamoxifen-treated patients (ORadj =0.72, 95% CI 0.54, 0.96) or ER-negative patients (ORadj =0.85, 95% CI 0.54, 1.34).

conclusionOur findings suggest that Ki-67 digital image analysis in TMAs is not associated with increased risk of recurrence among tamoxifen-treated ER-positive breast cancer or ER-negative breast cancer patients. Overall, our findings do not support an increased risk of recurrence associated with Ki-67 expression.

Indexed as

breast cancerDIAdigital image analysisKi-67proliferationrecurrence risktamoxifentissue microarrayTMA

Identifiers

PMID32801916
PMCPMC7383278
OpenAlexW3043285863

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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.