Abstract 464: Gene expression signatures for the prediction of endocrine treatment outcome in early-stage luminal breast cancer patients
| Autor: | Werner Schroth, Reiner Hoppe, Florian Büttner, Stefan Winter, Siarhei Kandabarau, Jörg Kumbrink, Heather A. Brauer, Peter Fritz, Matthias Schwab, Thomas Mürdter, Hiltrud Brauch |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Cancer Research. 79:464-464 |
| ISSN: | 1538-7445 0008-5472 |
| DOI: | 10.1158/1538-7445.am2019-464 |
| Popis: | Estrogen (ER) and/or progesterone (PR) receptor-positive, early breast cancer benefits from targeted therapy via long-term estrogen deprivation. Valid treatment options include the selective ER modulator tamoxifen (TAM) that interferes with estrogen-binding at the ER, and aromatase inhibitors (AI) that block the enzyme aromatase to prevent the conversion of androgens to estrogen. Both treatment principles are in clinical use however fail in about one third of the patients. The choice of endocrine treatment is currently not well supported by predictive tumor markers. Gene expression signatures covering critical breast cancer pathways were tested to predict TAM and AI associated outcomes in a prospectively collected postmenopausal, hormone-receptor positive, early breast cancer cohort (IKP211; 1200 patients, median follow up 5.5 years; DRKS00000605). RNA was extracted from formalin-fixed paraffin-embedded tumor sections of 631 patients and subjected to gene expression profiling with 770 genes across 23 key breast cancer pathways/processes (NanoString®BC360 panel) including the prognostic PAM50 signature for intrinsic subtype classification. Signatures were measured with the nCounter Digital Analyzer system (Nanostring) and revealed 60% Luminal A, 31% Luminal B, 6% HER2 enriched and 3% Basal-like tumor subtypes. Predefined signature scores (Nanostring) or single gene expression scores were analyzed in relation to breast cancer recurrence-free survival (EFS). PAM50 subtype designation and its derived Genomic Risk Score (ROR) were strongly associated with EFS of patients treated with AI (Log Rank P Citation Format: Werner Schroth, Reiner Hoppe, Florian Büttner, Stefan Winter, Siarhei Kandabarau, Jörg Kumbrink, Heather A. Brauer, Peter Fritz, Matthias Schwab, Thomas Mürdter, Hiltrud Brauch. Gene expression signatures for the prediction of endocrine treatment outcome in early-stage luminal breast cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 464. |
| Databáze: | OpenAIRE |
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