Pathway activity profiling can predict neoadjuvant endocrine therapy response in HR+ HER2- postmenopausal early stage breast cancer

To improve patient selection for neoadjuvant endocrine therapy (NET), signal transduction pathway profiles of estrogen receptor (ER)-, androgen receptor (AR), were studied and compared to standard immunohistochemistry (IHC) in postmenopausal patients with HR+ (IHC ER ≥ 50%, progesterone receptor any), HER2- breast cancer of the NEOLBC trial (NCT03283384). After two weeks of NET with letrozole, patients with Ki67 (Ki67-2 W) ≥ 1% IHC were randomized to receive letrozole + ribociclib or standard chemotherapy until surgery, while patients with Ki67-2 W < 1% continued NET (letrozole monotherapy). Baseline, two week- and resection FFPE samples of 82 patients were analyzed using mRNA-based OncoSIGNal profiling test, providing the pathway activity score (PAS). Despite samples being ER-IHC ≥ 50%, the ER-PAS varied over a range of 32–78 (scale from 0 to 100) with 20% of the patients showing low ER-PAS (32–45; similar to triple negative breast cancer tissue). At 2 weeks, 89% (73/82) of the patients showed a decreased ER-PAS (11.6 ± 8.6) compared to baseline (p < 0.001), whereas ER-IHC remained unchanged. Patients with complete response (RECIST1.1) appeared to have a higher ER-PAS at baseline compared to those with stable disease (p = 0.03), ROC analysis confirmed ER-PAS at baseline as an acceptable predictive factor for MRI response (AUC ≥ 0.7). Lastly, baseline and 2-week pathway activity profiling could identify targetable escape mechanisms for NET non-responders, which could improve personalized treatment strategies. ER IHC+ does not correlate to ER-PAS and ER-PAS is a more dynamic marker that appears to reflect variable NET response more accurately than IHC.

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Journal
Breast Cancer Research
Published
2026-02-25
DOI
https://doi.org/10.1186/s13058-026-02245-4
Primary Topic
Breast Cancer Treatment Studies
Type
article
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article

Pathway activity profiling can predict neoadjuvant endocrine therapy response in HR+ HER2- postmenopausal early stage breast cancer

N. de Gruil, D. Houtsma, M. Cloos-van Balen, G. J. Liefers et al.
Breast Cancer Research
Breast Cancer Treatment Studies
article

Pathway activity profiling can predict neoadjuvant endocrine therapy response in HR+ HER2- postmenopausal early stage breast cancer

N. de Gruil, D. Houtsma, M. Cloos-van Balen, G. J. Liefers, J. R. Kroep, Y. Wesseling-Rozendaal, S. C. Linn, J. B. Heijns, J. A. Ropela, D. Cohen, M. L. van Bekkum, C.S. Koekenbier, H. M. Oosterkamp, A. J. van de Wouw, A. F. de Groot, C. M. P. W. Mandigers, S. Vermeer, E. den Biezen, D. Keizer
article en

Abstract

To improve patient selection for neoadjuvant endocrine therapy (NET), signal transduction pathway profiles of estrogen receptor (ER)-, androgen receptor (AR), were studied and compared to standard immunohistochemistry (IHC) in postmenopausal patients with HR+ (IHC ER ≥ 50%, progesterone receptor any), HER2- breast cancer of the NEOLBC trial (NCT03283384). After two weeks of NET with letrozole, patients with Ki67 (Ki67-2 W) ≥ 1% IHC were randomized to receive letrozole + ribociclib or standard chemotherapy until surgery, while patients with Ki67-2 W < 1% continued NET (letrozole monotherapy). Baseline, two week- and resection FFPE samples of 82 patients were analyzed using mRNA-based OncoSIGNal profiling test, providing the pathway activity score (PAS). Despite samples being ER-IHC ≥ 50%, the ER-PAS varied over a range of 32–78 (scale from 0 to 100) with 20% of the patients showing low ER-PAS (32–45; similar to triple negative breast cancer tissue). At 2 weeks, 89% (73/82) of the patients showed a decreased ER-PAS (11.6 ± 8.6) compared to baseline (p < 0.001), whereas ER-IHC remained unchanged. Patients with complete response (RECIST1.1) appeared to have a higher ER-PAS at baseline compared to those with stable disease (p = 0.03), ROC analysis confirmed ER-PAS at baseline as an acceptable predictive factor for MRI response (AUC ≥ 0.7). Lastly, baseline and 2-week pathway activity profiling could identify targetable escape mechanisms for NET non-responders, which could improve personalized treatment strategies. ER IHC+ does not correlate to ER-PAS and ER-PAS is a more dynamic marker that appears to reflect variable NET response more accurately than IHC.

Breast Cancer Research
NXP (Netherlands) (NL), Leiden University Medical Center (NL), Medisch Centrum Haaglanden (NL), Reinier de Graaf Hospital (NL), Amphia Ziekenhuis (NL), Canisius-Wilhelmina Ziekenhuis (NL), VieCuri Medisch Centrum (NL), Jan de Rijk Logistics (Netherlands) (NL), Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital (NL), Groene Hart Ziekenhuis (NL), Haga Hospital (NL)
Good health and well-being
Openalex Percentile: Top 42%
Breast Cancer Treatment Studies
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