Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

E-Poster Display

215P - Identifying the best Ki67 cut-off for determining luminal breast cancer subtypes using immunohistochemical analysis and PAM50 genomic classification

Date

17 Sep 2020

Session

E-Poster Display

Topics

Tumour Site

Breast Cancer

Presenters

Roberto Escala Cornejo

Citation

Annals of Oncology (2020) 31 (suppl_4): S303-S339. 10.1016/annonc/annonc267

Authors

R.A. Escala Cornejo1, M. Muñoz García2, A. Olivares Hernández3, M. Sancho de Salas4, M.A. Gómez muñoz4, J. Claros Ampuero3, L. Figuero Pérez2, E. Escalera Martín3, B. Barrios Collado3, G. Martín García2, R. Seijas-Tamayo2, A. Gómez Bernal2, J.J. Cruz Hernández2, C.A. Rodríguez Sánchez2

Author affiliations

  • 1 Department Of Medical Oncology, Avila Healthcare Complex, 05071 - Ávila/ES
  • 2 Department Of Medical Oncology, Salamanca University Healthcare Complex, 37008 - Salamanca/ES
  • 3 Department Of Medical Oncology, Salamanca University Healthcare Complex, 37007 - Salamanca/ES
  • 4 Department Of Pathology, Salamanca University Healthcare Complex, 37008 - Salamanca/ES

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 215P

Background

Gene expression profiling has a significant impact on understanding the biology of breast cancer (BC). Over the past 15 years, four main intrinsic molecular subtypes of BC have been identified. At the 13th Saint Gallen International BC Consensus, a surrogate classification of BC molecular subtypes by immunohistochemistry (IHC) was established. The most controversial point was the difference between the luminal A (LA) and luminal B (LB) subtypes according to the Ki67 values. Commonly, 14% is the Ki67 cut-off that has been established for differentiating BC subtypes; however, in later studies, this value has been questioned and a cut-off of 20% has been proposed. This study aimed to analyse the correlation between the surrogate BC subtypes using IHC and PAM50 gene expression assay, considering Ki67 as an independent factor and identify the best Ki67 cut-off.

Methods

We included women diagnosed between 2015 and 2020 with early stage luminal BC whose samples underwent genomic testing using PAM50/Prosigna (NanoString Technologies, Seattle, WA, USA). A total of 143 samples were analysed at a single institution. The IHC subtypes were classified using two independent Ki67 cut-offs, 14% and 20%, and these were compared to the subtypes identified by PAM50.

Results

Using the Ki67 cut-off >14%, we observed a correlation of 70.6% with a sensitivity of 79.1% and a specificity of 55.8%, as well as a positive predictive value (PPV) of 75.8% and a negative predictive value (NPV) of 60.4%. By modifying the Ki67 cut-off to be >20%, the percentage of well-classified tumours as determined by IHC was 76.2%, improving the agreement by 6.2%. The sensitivity was 93.4%, but the specificity was 46.1%. The PPV was 75.2% and the NPV was 80%, which suggests that IHC has a high probability of diagnosing LA and LB.

Conclusions

Based on the study’s results, we demonstrated that modifying the Ki67 cut-off to >20% provides a better surrogate classification by IHC and a higher sensitivity for classifying the luminal subtypes than ≥ 14%. We propose that the Ki67 cut-off should be globally modified to >20% as an independent factor; however, due to the low specificity, other factors, such as progesterone receptor expression, should be considered.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.