Abstract 296P
Background
Pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) is known as a prognostic factor correlated with improved EFS and OS. Better prediction of pCR would allow better patient and treatment selection. We aim to reveal specific transcriptomic and metabolic signatures correlated with distinct responses to NAC based on patient diagnostic biopsies. We also compared metabolic profiles of in vitro models.
Methods
We performed bulk-RNA sequencing on 95 samples from diagnostic biopsies from all subtypes of early BC treated with NAC (NCT03314870 study). Early triple-negative BC cell lines (HCC38, HCC1143, HCC1937) and patient-derived tumor organoids were cultured for drug testing, RT-qPCR and metabolomics studies using Seahorse bioenergetic analyzer.
Results
Transcriptomic analyses showed a down-regulation of genes related to tumor cell metabolism such as genes involved in the glycolysis (e.g. STC2, FDR = 0.05) in non-responding patients (n=39). Gene set enrichment analysis (hallmark and KEGG pathway databases) showed a down-regulation of the glycolysis and the oxidative phosphorylation pathways in non-responding patients (adjusted p-value <0.05). In 2D cell cultures, the HCC1937 cell line showed resistance to paclitaxel and a higher glycolysis profile than the HCC38 and HCC1143 cells. Exposure to epirubicin or paclitaxel decreased the glycolysis in HCC38 and HCC1937 cell lines, while a decrease in the oxidative phosphorylation was observed in all 3 cell lines. A triple-negative organoid model (BCO17), initiated from a treatment naive tumor, showed resistance to epirubicin and paclitaxel. In BCO17, exposure to epirubicin or paclitaxel did not change the glycolysis or oxidative phosphorylation profile. Targeting glycolysis with 2-deoxy-2-glucose (2DG) in monotherapy showed 50% of cell mortality in a 2D and organoid models, while combination of 2DG with epirubicin and paclitaxel did not increase the cell mortality.
Conclusions
Glycolysis and oxidative phosphorylation are involved in non-response to NAC in early breast cancer. 2D and organoid models with distinct chemotherapy sensitivity showed different metabolic profiles that may be explored in drug development.
Clinical trial identification
NCT03314870.
Editorial acknowledgement
Legal entity responsible for the study
Cliniques Universitaires Saint-Luc.
Funding
WALINNOV.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
272P - Primary prevention of bone fractures in patients (pts) with hormone receptor (HR)+ early breast cancer (EBC) during adjuvant hormonal therapy (HT): The predict & prevent project (P&P)
Presenter: Stefania Gori
Session: Poster session 02
273P - A preoperative window-of-opportunity (WOO) study of imlunestrant in ER+, HER2- early breast cancer (EBC): Final analysis from EMBER-2
Presenter: Patrick Neven
Session: Poster session 02
274P - Impact of dose reductions on efficacy of adjuvant abemaciclib for patients with high-risk early breast cancer (EBC): Analyses from the monarchE study
Presenter: Joyce O'Shaughnessy
Session: Poster session 02
275P - Clinical and molecular impact of neoadjuvant chemotherapy (NACT) or endocrine therapy (NET) on hormone receptor positive (HR+)/HER2-negative (-) breast cancer (BC)
Presenter: Francesco Schettini
Session: Poster session 02
276P - Development and external validation of an artificial intelligence (AI)-based machine learning model (ML) for predicting pathological complete response (pCR) in hormone-receptor (HoR)-positive/HER2-negative early breast cancer (EBC) undergoing neoadjuvant chemotherapy (NCT)
Presenter: Luca Mastrantoni
Session: Poster session 02
277P - Fat body mass independently predicts incident vertebral fractures in breast cancer patients given adjuvant aromatase inhibitor therapy and denosumab
Presenter: Greta Schivardi
Session: Poster session 02
278P - Association between tamoxifen and endoxifen plasma levels and clotting proteins in patients with primary breast cancer
Presenter: Daan van Dorst
Session: Poster session 02
279P - Early changes in bone turnover biomarkers during AI therapy are related to loss bone mineral density, data of the B-ABLE cohort
Presenter: Tamara Martos Cardenas
Session: Poster session 02
280P - Adjuvant aromatase inhibitors in patients with PIK3CA mutation early breast cancer
Presenter: Kristin Reinhardt
Session: Poster session 02