Abstract 167P
Background
Everolimus (EVE), a mammalian target of rapamycin (mTOR) inhibitor, has been proven beneficial for patients with HR+/HER2−, advanced breast cancer (ABC) with endocrine resistance. Preclinical studies showed mTOR has close relationships with the tumor immune microenvironment (TME). Therefore, this study aimed to identify TME-related markers to predict efficacy of EVE in patients with HR+/HER2− ABC.
Methods
Tumor tissues of patients from Miracle trial receiving EVE were collected for NanoString RNA expression analysis. TME cell type and TME signatures associated with efficacy were identified using the 289-immuno-gene panel of NanoString nCounter platform. Multiple statistical approaches were applied for enrichment analyses, survival estimation and validation.
Results
Mast cell scores significantly increased in patients who did not respond to EVE (P = 0.031) and those who had progression-free survival (PFS) < 6 months (P = 0.029). CD8 T cells were highly infiltrated in tumor tissue from patients with PFS < 1 year (P = 0.035). Patients with PFS > 1 year had lower scores of chemokines (P = 0.032) and Teff (P = 0.028) than those with PFS < 6 months did. Histidine decarboxylase (HDC), TNF receptor superfamily member 1A (TNFRSF1A), and RAD51 correlated with PFS and EVE response. Patients with HDC (P = 0.013) or TNFRSF1A (P = 0.0031) overexpression showed shorter PFS, whereas patients with RAD51 overexpression showed prolonged PFS (P = 0.049). A predictive model comprising HDC, TNFRSF1A, and RAD51 was established, and the receiver operating characteristic curve demonstrated its superiority (AUC = 0.96). The results also showed that patients whose tumors were non-responsive to EVE (P = 0.00021) or whose PFS was poor (P = 0.0025) were at a higher risk in the model.
Conclusions
The immune-related gene model consisting of HDC, TNFRSF1A, and RAD51 could potentially predict the efficacy of EVE in premenopausal patients with HR+/HER2− ABC with endocrine resistance, which could help stratify responders to EVE and guide the choice of EVE in clinical practice.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
207P - Palbociclib (P) in patients (pts) with solid tumors with CDK4 or CDK6 amplification (amp): Results from the Targeted Agent and Profiling Utilization Registry (TAPUR) study
Presenter: Maged Khalil
Session: Poster session 01
208P - Identification of BCOR mutation as a novel predictor of immunotherapy efficacy in gastrointestinal tumors
Presenter: Wuping Wang
Session: Poster session 01
209P - Molecular atlas of copy number variation(CNV) in lung cancer with brain metastases
Presenter: Xianfeng Zhang
Session: Poster session 01
210P - Lung tumour vascularity is a risk factor for survival in NSCLC patients undergoing surgery
Presenter: Andrea Riccardo Filippi
Session: Poster session 01
211P - Cost-efficient detection of NTRK1, NTRK2 and NTRK3 gene rearrangements using the test for 5’/3’-end unbalanced expression: The analysis of 8075 patients
Presenter: Evgeny Imyanitov
Session: Poster session 01
212P - Extracellular vesicle miRNA as effective biomarkers for predicting antitumor efficacy in lung adenocarcinoma treated with chemotherapy and checkpoint blockade
Presenter: Si Sun
Session: Poster session 01
213P - Unlocking cancer treatment opportunities by population-based advanced diagnostics in Norway
Presenter: Hege Russnes
Session: Poster session 01
214P - PESSA: A shiny app for pathway enrichment score-based survival analysis in cancer
Presenter: Ying Shi
Session: Poster session 01
215P - Identifying predictors of overall survival among TMB-low cancer patients treated with immune checkpoint inhibitors
Presenter: Camila Xavier
Session: Poster session 01
216P - PTCH1 mutation as a potential predictor of immune checkpoint inhibitors in gastrointestinal cancer
Presenter: Yang Tang
Session: Poster session 01