Evidence map›Paper›PMID 28612227›Full record

ArticleBreast cancer research and treatment2017

Development of a Ki-67-based clinical trial assay for neoadjuvant endocrine therapy response monitoring in breast cancer.

Rodrigo Goncalves, Katherine DeSchryver, Cynthia Ma, Yu Tao, Jeremy Hoog, Maggie Cheang, Erika Crouch, Neha Dahiya, Souzan Sanati, Michael Barnes and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. Trial
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  11. Breast CancerJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020
    Article
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  14. Neoadjuvant Therapy for Breast Cancer as a Model for Translational Research.Breast cancer : basic and clinical research · 2019
    Review
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  16. Review
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

14 authors at 6 institutions in 3 countries.

Rodrigo GoncalvesDepartment of Obstetrics and Gynecology, State University of Campinas (UNICAMP), Campinas, Brazil.
Katherine DeSchryverDepartment of Medical Oncology, Breast Cancer Program, Washington University School of Medicine, St. Louis, MO, USA.
Cynthia MaDepartment of Medical Oncology, Breast Cancer Program, Washington University School of Medicine, St. Louis, MO, USA.
Yu TaoDepartment of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
Jeremy HoogDepartment of Medical Oncology, Breast Cancer Program, Washington University School of Medicine, St. Louis, MO, USA.
Maggie CheangClinical Trials and Statistic Unit, The Institute of Cancer Research, University of London, London, UK.
Erika CrouchDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
Neha DahiyaDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
Souzan SanatiDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
Michael BarnesVentana Medical Systems, Inc/Roche Diagnostics, Tucson, AZ, USA.
Luis Otávio Zanatta SarianDepartment of Obstetrics and Gynecology, State University of Campinas (UNICAMP), Campinas, Brazil.
John OlsonDepartment of Surgery, University of Maryland, Baltimore, MD, USA.
Donald Craig AllredDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
Matthew J EllisLester and Sue Smith Breast Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA. matthew.ellis@bcm.edu.
Washington University in St. Louis · USUniversidade Estadual de Campinas (UNICAMP) · BRBaylor College of Medicine · USUniversity of London · GBUniversity of Maryland, Baltimore · USVentana Research Corporation (United States) · US

Funding

SPORE IN BREAST CANCERP50CA068438 · NCI · DUKE UNIVERSITY · PI LYERLY, HERBERT KIM · 1995 to 2007
$14.3M
NOVEL BIOMARKERS FOR AROMATASE INHIBITOR THERAPYR01CA095614 · NCI · WASHINGTON UNIVERSITY · PI ELLIS, MATTHEW J, LUO, JINGQIN · 2003 to 2013
$5.6M
NCI NIH HHS P50 CA068438NCI NIH HHS R01 CA095614
6 · The paper itself

Abstract

purposeThe recent publication of the ACOSOG Z1031 trial results demonstrated that Ki-67 proliferation marker-based neoadjuvant endocrine therapy response monitoring could be used for tailoring the use of adjuvant chemotherapy in ER+HER2-negative breast cancer patients. In this paper, we describe the development of the Ki-67 clinical trial assay used for this study.

methodsKi-67 assay assessment focused on reproducing a 2.7% Ki-67 cut-point (CP) required for calculating the Preoperative Endocrine Prognostic Index and a 10% CP for poor endocrine therapy response identification within the first month of neoadjuvant endocrine treatment. Image analysis was assessed to increase the efficiency of the scoring process. Clinical outcome concordance for two independent Ki-67 scores was the primary performance metric.

resultsDiscordant scores led to a triage approach where cases with complex histological features that software algorithms could not resolve were flagged for visual point counting (17%). The final Ki-67 scoring approach was run on T1/2 N0 cases from the P024 and POL trials (N = 58). The percent positive agreement for the 2.7% CP was 87.5% (95% CI 61.7-98.5%); percent negative agreement 88.9% (95% CI: 65.3-98.6%). Minor discordance did not affect the ability to predict similar relapse-free outcomes (Log-Rank P = 0.044 and P = 0.055). The data for the 10% early triage CP in the POL trial were similar (N = 66), the percentage positive agreement was 100%, and percent negative agreement 93.55% (95% CI: 78.58-99.21%). The independent survival predictions were concordant (Log-rank P = 0.0001 and P = 0.01).

conclusionsWe have developed an efficient and reproducible Ki-67 scoring system that was approved by the Clinical Trials Evaluation Program for NCI-supported neoadjuvant endocrine therapy trials. Using the methodology described here, investigators are able to identify a subgroup of patients with ER+HER2-negative breast cancer that can be safely managed without the need of adjuvant chemotherapy.

Indexed as

Antineoplastic Agents, HormonalAntineoplastic Combined Chemotherapy ProtocolsBiomarkersBreast NeoplasmsChemotherapy, AdjuvantClinical Decision-MakingFemaleHumansKaplan-Meier EstimateKi-67 AntigenNeoadjuvant TherapyPrognosisReproducibility of ResultsROC CurveTreatment OutcomeAntineoplastic Agents, HormonalBiomarkersKi-67 AntigenBiomarkersBreast cancerKi-67 proliferation marker

Identifiers

PMID28612227
PMCPMC5543203
OpenAlexW2626019450

What OpenQuestion holds

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LicenceCC BY
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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.