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

Poster Display session

234P - Equivalence of NGS-based MammaPrint 70-gene signature risk of recurrence and BluePrint 80-gene signature of molecular subtyping tests to the centralized microarray tests

Date

04 May 2022

Session

Poster Display session

Topics

Tumour Site

Breast Cancer

Presenters

Esther Schuler

Citation

Annals of Oncology (2022) 33 (suppl_3): S232-S237. 10.1016/annonc/annonc896

Authors

E. Schuler1, S. Uygun2, L. Mittempergher3, D. Pronin4, S. Mee2, S. Bao5, T. Cavness5, A. Witteveen3, A. Glas3

Author affiliations

  • 1 ZOTZ | KLIMAS MVZ Düsseldorf-Centrum GbR, Dusseldorf/DE
  • 2 Agendia Inc., Irvine/US
  • 3 Agendia N.V, Amsterdam/NL
  • 4 Medical Affairs, Agendia N.V, Amsterdam/NL
  • 5 Agendia Inc, irvine/US

Resources

Login to get immediate access to this content.

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

Abstract 234P

Background

The MammaPrint® 70-gene signature (70GS) risk of recurrence and BluePrint® 80-gene signature (80GS) of molecular subtyping are utilized in personalized treatment planning of early-stage breast cancer patients. These gene expression assays were developed with microarray (MA) and have been translated into Next Generation Sequencing (NGS) using targeted RNA-sequencing and CE marked. Equivalence between MA and NGS has been shown with NGS in centralized and decentralized setting. Here we present extended data from multiple global sites and report performance on equivalence.

Methods

A total of 1,164 paired results from MA and NGS test corresponding to 969 unique samples were used in this study. All MA results were generated in Agendia’s central laboratory. 689 NGS results were generated at Agendia, and 475 NGS results were generated across 10 external partner sites in 5 countries. Comparisons of the test indices and result categories were conducted. Additionally, NGS testing from two independent RNA isolations was performed and concordance was evaluated among 49 samples to assess the impact of different isolations on 70GS results. 70GS risk categories include Low Risk and High Risk. 80GS molecular subtypes include Basal-, Luminal-, and HER2-type.

Results

Among 1,164 results, 1,158 of them passed NGS quality controls (success rate 99.5%). Comparing MA and NGS results, 70GS had a high risk percent agreement of 94.3% and a low risk percent agreement of 94.6%. There was a perfect concordance among 80GS molecular subtypes. In addition to risk assessment, 70GS and 80GS indices had significant high correlation between MA and NGS results (Pearson correlation coefficient (r) of 0.98 for 70GS, Basal, Luminal, and 0.85 for HER2, p < 2.20e-16). In addition, two independent RNA isolations confirmed high concordance (93.9%) on 70GS results.

Conclusions

The NGS version of the MammaPrint® 70GS and BluePrint® 80GS test is equivalent to the centralized microarray test, as demonstrated by results from various laboratories globally. This enables an accurate decentralized solution to breast cancer care fostering worldwide accessibility to reliable genomic testing.

Legal entity responsible for the study

Agendia Inc.

Funding

Agendia Inc.

Disclosure

E. Schuler: Financial Interests, Personal, Full or part-time Employment: ZOTZ|KLIMAS MVZ Düsseldorf-Centrum GbR Germany. S. Uygun, L. Mittempergher, D. Pronin, S. Mee, S. Bao, T. Cavness, A. Witteveen, A. Glas: Financial Interests, Personal, Full or part-time Employment: Agendia.

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.