Abstract 282P
Background
Molecular signatures are recommended in HR+, HER2- early-stage breast cancer (EBC) to guide decisions for adjuvant treatment. Prosigna® is a standardized test based on the PAM50 gene signature with provides information on risk of recurrence and permits intrinsic subtype classification of tumor. The study aimed to evaluate the clinical impact of adopting Prosigna® assay after 8y.
Methods
A retrospective study of patients (pts) with ER+, HER2- EBC was carried out between 2015 and 2023 in a single center. Gene expression analysis of tumors was performed with PAM50/Prosigna® (NanoString Technologies, Seattle, WA, USA).
Results
232 pts were included. All were node-negative. The median age was 55y (32-80) and 152 (65.5%) were postmenopausal. Risk of Recurrence (ROR) risk groups were as follows: low ROR: 97 (42%); intermediate ROR: 76 (33%); high ROR: 59 (25%). Intrinsic Subtype Reclassification: According to immunohistochemistry (IHC), 102 tumors (44%) were initially classified as luminal A and 130 (56%) as luminal B. After PAM50, 144 tumors (62%) were classified as luminal A, 86 (37%) as luminal B and 2 (0.01%) as HER2-E. The discordance rate for luminal B by IHC is noteworthy. 67 (52%) were reclassified as luminal A after PAM50. Impact on decision making: Prosigna® led to a treatment decision change in 64 pts (28%). Chemotherapy (CT) was added in 36 (27%) of the 132 pts (57%) initially assigned to hormonal therapy (HT). Of 100 pts (43%) initially assigned to HT-CT, 28 pts (28%) finally received HT alone. Follow-up: With a median follow-up of 48 months and a maximum follow-up of 90 months, no recurrence of the disease has been reported.
Conclusions
The use of gene expression platforms such as Prosigna ® directly impacts treatment decision making, allowing the selection the best adjuvant treatment adapted to the de risk of recurrence, without having registered any relapse so far in our HR+, HER2- EBC and node-negative patients. In addition, it seems that the intrinsic subtype determined by Prosigna® assay cannot be replaced by IHC parameters.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
R. Lozano Mejorada: Financial Interests, Personal, Invited Speaker: Janssen, Astellas, Roche, Bayer, Ipsen, AstraZeneca; Financial Interests, Personal, Advisory Board: Janssen, Merck/Pfizer, Orion Pharma, Advanced Accelerator Applications (Novartis); Financial Interests, Personal, Other, Travel / accommodation: MSD, Sanofi; Financial Interests, Personal, Other, Travel / accommodation: BMS; Non-Financial Interests, Member: Sociedad Española de Oncología Médica. All other authors have declared no conflicts of interest.
Resources from the same session
304P - Generalizability of 313-SNP PRS for breast cancer risk in non-European ancestries
Presenter: Helen Shang
Session: Poster session 02
305P - Prognostic implications of HER2 changes after neoadjuvant chemotherapy in patients with HER2-zero and HER2-low breast cancer
Presenter: Sora Kang
Session: Poster session 02
307P - Identifying new biological subgroups of triple-negative breast cancer using next-generation integrative clustering pipeline
Presenter: Xixuan Zhu
Session: Poster session 02
308P - Regression-based deep-learning predicts breast cancer recurrence risk score from pathology slides
Presenter: Omar El Nahhas
Session: Poster session 02
310P - Longitudinal evaluation of circulating tumour DNA in early breast cancer using a plasma-only methylation-based assay
Presenter: Mitchell Elliott
Session: Poster session 02
311P - Multinational survey study assessing genetic testing and counselling among patients (pts) with breast cancer (MAGENTA): Results on the genetic counselling experience
Presenter: Ranjit Kaur
Session: Poster session 02
312P - Prediction model of breast cancer patient’s neoadjuvant treatment outcome using breast cancer organoids cultured from core needle biopsies
Presenter: Dong Woo Lee
Session: Poster session 02
313P - Intrinsic subtypes in a cohort of early breast cancer patients
Presenter: Theresa Bracht
Session: Poster session 02