Publikation

Standardized Ki67 Diagnostics Using Automated Scoring--Clinical Validation in the GeparTrio Breast Cancer Study

Wissenschaftlicher Artikel/Review - 11.12.2014

Bereiche
PubMed
DOI

Zitation
Klauschen F, Denkert C, Dietel M, Lederer B, Mehta K, Erbstößer E, Rüdiger T, Huober J, Blohmer J, Gerber B, Loibl S, Schmitt W, Wienert S, von Minckwitz G. Standardized Ki67 Diagnostics Using Automated Scoring--Clinical Validation in the GeparTrio Breast Cancer Study. Clin Cancer Res 2014; 21:3651-7.
Art
Wissenschaftlicher Artikel/Review (Englisch)
Zeitschrift
Clin Cancer Res 2014; 21
Veröffentlichungsdatum
11.12.2014
eISSN (Online)
1557-3265
Seiten
3651-7
Kurzbeschreibung/Zielsetzung

PURPOSE
Scoring proliferation through Ki67 immunohistochemistry is an important component in predicting therapy response to chemotherapy in patients with breast cancer. However, recent studies have cast doubt on the reliability of "visual" Ki67 scoring in the multicenter setting, particularly in the lower, yet clinically important, proliferation range. Therefore, an accurate and standardized Ki67 scoring is pivotal both in routine diagnostics and larger multicenter studies.

EXPERIMENTAL DESIGN
We validated a novel fully automated Ki67 scoring approach that relies on only minimal a priori knowledge on cell properties and requires no training data for calibration. We applied our approach to 1,082 breast cancer samples from the neoadjuvant GeparTrio trial and compared the performance of automated and manual Ki67 scoring.

RESULTS
The three groups of autoKi67 as defined by low (≤ 15%), medium (15.1%-35%), and high (>35%) automated scores showed pCR rates of 5.8%, 16.9%, and 29.5%, respectively. AutoKi67 was significantly linked to prognosis with overall and progression-free survival P values P(OS) < 0.0001 and P(PFS) < 0.0002, compared with P(OS) < 0.0005 and P(PFS) < 0.0001 for manual Ki67 scoring. Moreover, automated Ki67 scoring was an independent prognosticator in the multivariate analysis with P(OS) = 0.002, P(PFS) = 0.009 (autoKi67) versus P(OS) = 0.007, PPFS = 0.004 (manual Ki67).

CONCLUSIONS
The computer-assisted Ki67 scoring approach presented here offers a standardized means of tumor cell proliferation assessment in breast cancer that correlated with clinical endpoints and is deployable in routine diagnostics. It may thus help to solve recently reported reliability concerns in Ki67 diagnostics.