Evidence map›Paper›PMID 32383007›Full record

ArticleVirchows Archiv : an international journal of pathology2020

Factors influencing agreement of breast cancer luminal molecular subtype by Ki67 labeling index between core needle biopsy and surgical resection specimens.

Kristina A Tendl-Schulz, Fabian Rössler, Philipp Wimmer, Ulrike M Heber, Martina Mittlböck, Nicolas Kozakowski, Katja Pinker, Rupert Bartsch, Peter Dubsky, Florian Fitzal and 8 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 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
0.4field-weighted citation impact, top 47% 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, 8 citations in OpenAlex.

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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

18 authors at 5 institutions in 3 countries.

Kristina A Tendl-SchulzDepartment of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria.
Fabian RösslerDepartment of Surgery and Transplantation, University Hospital and University of Zurich, Zurich, Switzerland.
Philipp WimmerDepartment of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria.
Ulrike M HeberDepartment of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria.
Martina MittlböckCenter for Medical Statistics, Informatics, and Intelligent Systems, Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria.
Nicolas KozakowskiDepartment of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria.
Katja PinkerDepartment of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria.
Rupert BartschDepartment for Medicine I/Division of Oncology, Medical University of Vienna, Vienna, Austria.
Peter DubskyDepartment of Surgery and Breast Health Center, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Florian FitzalDepartment of Surgery and Breast Health Center, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Martin FilipitsInstitute of Cancer Research and Comprehensive Cancer Center, Medical University Vienna, Vienna, Austria.
Fanny Carolina EckelDepartment of Surgery and Breast Health Center, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Eva-Maria LangthalerDepartment of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria.
Günther StegerDepartment for Medicine I/Division of Oncology, Medical University of Vienna, Vienna, Austria.
Michael GnantComprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Christian F SingerDepartment of Obstetrics and Gynaecology and Breast Health Center, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Thomas H HelbichDepartment of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria.
Zsuzsanna Bago-HorvathDepartment of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria. zsuzsanna.bago-horvath@meduniwien.ac.at.ORCID https://orcid.org/0000-0002-8555-7806
Comprehensive Cancer Center Vienna · ATMedical University of Vienna · ATMemorial Sloan Kettering Cancer Center · USStatistics Austria · ATUniversity of Zurich · CH

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Reliable determination of Ki67 labeling index (Ki67-LI) on core needle biopsy (CNB) is essential for determining breast cancer molecular subtype for therapy planning. However, studies on agreement between molecular subtype and Ki67-LI between CNB and surgical resection (SR) specimens are conflicting. The present study analyzed the influence of clinicopathological and sampling-associated factors on agreement. Molecular subtype was determined visually by Ki67-LI in 484 pairs of CNB and SR specimens of invasive estrogen receptor (ER)-positive, human epidermal growth factor (HER2)-negative breast cancer. Luminal B disease was defined by Ki67-LI > 20% in SR. Correlation of molecular subtype agreement with age, menopausal status, CNB method, Breast Imaging Reporting and Data System imaging category, time between biopsies, type of surgery, and pathological tumor parameters was analyzed. Recurrence-free survival (RFS) and overall survival (OS) were analyzed using the Kaplan-Meier method. CNB had a sensitivity of 77.95% and a specificity of 80.97% for identifying luminal B tumors in CNB, compared with the final molecular subtype determination after surgery. The correlation of Ki67-LI between CNB and SR was moderate (ROC-AUC 0.8333). Specificity and sensitivity for CNB to correctly define molecular subtype of tumors according to SR were significantly associated with tumor grade, immunohistochemical progesterone receptor (PR) and p53 expression (p < 0.05). Agreement of molecular subtype did not significantly impact RFS and OS (p = 0.22 for both). The identified factors likely mirror intratumoral heterogeneity that might compromise obtaining a representative CNB. Our results challenge the robustness of a single CNB-driven measurement of Ki67-LI to identify luminal B breast cancer of low (G1) or intermediate (G2) grade.

Indexed as

AdultAgedAged, 80 and overBiopsy, Large-Core NeedleBreast NeoplasmsDisease ProgressionErb-b2 Receptor Tyrosine KinasesFemaleHumansImmunohistochemistryKi-67 AntigenMiddle AgedNeoplasm GradingNeoplasm Recurrence, LocalPredictive Value of TestsProgression-Free SurvivalERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesKi-67 AntigenMKI67 protein, humanReceptors, EstrogenReceptors, ProgesteroneTP53 protein, humanTumor Suppressor Protein p53AgreementBreast cancerCore needle biopsyKi67Luminal molecular subtype

Identifiers

PMID32383007
PMCPMC7508960
OpenAlexW3023341443

What OpenQuestion holds

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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.