A Greek Real-World Experience With the Implementation of the EndoPredict Gene Signature in a Cohort of Pre-menopausal and Post-menopausal Patients With ER+/HER2- Breast Cancer
Year: 2026
Type: article
Study design: Observational Study
Abstract: Background EndoPredict® is a guideline-recommended gene signature assay guiding whether adjuvant treatment should include chemotherapy or not. The EndoPredict® Clinical (EPclin) Risk Score combines molecular and clinical data to predict the distant recurrence of breast cancer, providing valuable information about the prognosis and chemotherapy benefit in both pre- and post-menopausal patients. Methodology This is a real-world, retrospective study aiming to characterize the EPclin Risk Score's utility in 200 consecutively selected Greek patients with estrogen receptor positive/human epidermal growth factor receptor 2 negative (ER+/HER2-) breast cancer, enrolled in a single institution, considering their clinicopathological features and menopausal status, with emphasis on its role in identifying patients suitable for treatment de-escalation. Results In this study, 100 pre-menopausal and 100 post-menopausal ER+/HER2- breast cancer patients were included. Among the pre-menopausal subgroup, 65% of the patients were classified as low risk and the other 35% as high risk, while among the post-menopausal subgroup, the low-risk and high-risk patients were 66% and 34%, respectively. A notable 30% of node-positive premenopausal patients were characterized by EPclin as at a low risk of breast cancer. Conclusions The EPclin Risk score has the ability to stratify and guide therapy decisions in ER+/HER2- breast cancer patients. It classifies the recurrence risk differently from traditional assessments and identifies low-risk premenopausal patients with node-positive disease. This may provide a de-escalation treatment pathway for such patients but requires further clinical validation.
Source: Cureus
Authors: George Pantazidis, Antigoni Sourla, Aggeliki Vasiageorgi, Christina Yfanti, Anna-Maria Alisandrou, Giasemi Stefanou, Aggelos Petsavas, Fotini Pavlidou, Styliani Parpoudi, Dimitrios Alexandrou, Anna Sachoulidou, Annezo Marinatou, Evgenia Kalogridaki, Theodoros Kontoulis, Panagiotis E Daskalakis, Vlassios Tsantilas, Stavros Chatzopoulos, Christos Kanistras, Theodoros Argyriou, Dimitrios Dragoumis, Vaia Stafyla, Konstantinos Louis, Andriana Kouloura, Ioanna Galanou, Georgios Papazoglou, Dimitrios Grosomanidis, Konstantinos Chatzopoulos, Georgia Pasaskevakou, Panagiota Varnava, Anna Giannopoulou, Xenofon Xenakis, Apostolos Mpakogiannis, Ioannis Flessas, Dimitrios Nasikas, Dimitrios Koronarchis, Stergios Douvetzemis, Ioannis Fyssas, Christos Spanopoulos, Dimosthenis Baltas, Dimitrios Keramopoulos, Konstantinos Bouloukos, Vilma Gaki, Dionysios T Dimas, Ioannis L Missitzis, Georgios Rigas, Christos Kalyvopoulos, Stavros Intzes, Stefanos Zervoudis, Europi Michailidou, Anastasios Katsourakis, Markos Thanos, Apostolos Zavos, George Boutsikos, Maria Kanara, Sotirios Α Rousogiannis, Panagiotis Charatsaris, Pavlos Lampropoulos, Sarantos Papadopoulos, Evangelos P Solakis, Ioannis Askoxylakis, Sofia Kakoulaki, Eleftherios Sfakianakis, Nikolaos Vrentzos, Despoina Milonaki, Ioannis Kyriasanos, Foivos Irakleidis, Rodoniki Iosifidou
Institutions: Theageneio General Hospital, Aristotle University of Thessaloniki, General-Maternity District Hospital Helena Venizelou, GENESIS Hospital, St. Luke's Hospital, National and Kapodistrian University of Athens, University General Hospital Attikon, Mitera Hospital, Henry Dunant Hospital, Metropolitan Hospital, IASO General Hospital, Athens Medical Center, St Savas Hospital, Interbalkan Medical Center, Agios Pavlos General Hospital, University of Thessaly, University Hospital of Ioannina, Metaxa Hospital, 401 General Military Hospital of Athens, The General Hospital of Heraklion "Venizeleio-Pananio", General Hospital of Nikea, Athens Naval & Veterans Hospital, General Hospital of Rhodes
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W7203832704