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


Journal

Virchows Archiv : an international journal of pathology
ISSN: 1432-2307
Titre abrégé: Virchows Arch
Pays: Germany
ID NLM: 9423843

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 19 02 2020
accepted: 16 04 2020
revised: 20 03 2020
pubmed: 10 5 2020
medline: 8 10 2020
entrez: 9 5 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32383007
doi: 10.1007/s00428-020-02818-4
pii: 10.1007/s00428-020-02818-4
pmc: PMC7508960
doi:

Substances chimiques

Ki-67 Antigen 0
MKI67 protein, human 0
Receptors, Estrogen 0
Receptors, Progesterone 0
TP53 protein, human 0
Tumor Suppressor Protein p53 0
ERBB2 protein, human EC 2.7.10.1
Receptor, ErbB-2 EC 2.7.10.1

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

545-555

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States

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Auteurs

Kristina A Tendl-Schulz (KA)

Department of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria.

Fabian Rössler (F)

Department of Surgery and Transplantation, University Hospital and University of Zurich, Zurich, Switzerland.

Philipp Wimmer (P)

Department of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria.

Ulrike M Heber (UM)

Department of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria.

Martina Mittlböck (M)

Center for Medical Statistics, Informatics, and Intelligent Systems, Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria.

Nicolas Kozakowski (N)

Department of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria.

Katja Pinker (K)

Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria.
Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Rupert Bartsch (R)

Department for Medicine I/Division of Oncology, Medical University of Vienna, Vienna, Austria.

Peter Dubsky (P)

Department of Surgery and Breast Health Center, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Hirslanden Klinik St. Anna Brustzentrum, Lucerne, Switzerland.

Florian Fitzal (F)

Department of Surgery and Breast Health Center, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.

Martin Filipits (M)

Institute of Cancer Research and Comprehensive Cancer Center, Medical University Vienna, Vienna, Austria.

Fanny Carolina Eckel (FC)

Department of Surgery and Breast Health Center, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.

Eva-Maria Langthaler (EM)

Department of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria.

Günther Steger (G)

Department for Medicine I/Division of Oncology, Medical University of Vienna, Vienna, Austria.

Michael Gnant (M)

Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.

Christian F Singer (CF)

Department of Obstetrics and Gynaecology and Breast Health Center, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.

Thomas H Helbich (TH)

Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria.

Zsuzsanna Bago-Horvath (Z)

Department of Pathology and Comprehensive Cancer Center, Medical University of Vienna, 18-20 Waehringer Guertel, A-1090, Vienna, Austria. zsuzsanna.bago-horvath@meduniwien.ac.at.

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Classifications MeSH