Abstract 148P
Background
Mutations in the ESR1 gene drive estrogen-independent tumor proliferation, conferring resistance to Aromatase Inhibitor (AI) therapy in estrogen receptor-positive (ER+) breast cancer. ESR1 mutations are strongly selected in cancers with previously sustained response to AI. We investigated the emergence of ESR1 mutations in response to therapy and the selective pressures that drive the development of endocrine resistance.
Methods
ESR1 mutations were identified in 182 plasma samples from metastatic patients sequenced using a custom targeted-capture panel and 665 whole-genome sequenced tumor samples in the Hartwig metastatic cohort. Mutations in plasma samples were determined using VarScan, a custom script and prior ESR1 mutations detected using digital droplet PCR assay. The neoantigen presentation of seven hotspot ESR1 mutations was summarised by the Patient Harmonic-mean Best Rank (PHBR) score. GISTIC copy number analysis, dNdScv driver gene quantification and DeconstructSigs was used to examine mutational processes that drive ESR1 mutant and ESR1 wild-type (WT) cancer.
Results
The landscape of plasma ESR1 mutations were more diverse than in tumours. In tumours, ESR1 amplification was found in 21% of the ESR1 WT group, and was not observed in the ESR1 mutant group. Mutations in ERBB2 (6%) and MAPK-associated genes, such as NF1 (9%), were identified as drivers in ESR1 WT but not mutant patients. APOBEC activity was reduced in ESR1 mutant patients (SBS2 (p=0.00059), SBS13 (p=0.00033)), however, clock-like signatures (SBS1 (p=0.0018), SBS15 (p=0.011)) were enriched in comparison to ESR1 WT patients. The immune presentation in the plasma samples was poor with no significant differences for patients with or without each of the hotspot mutations, except patients with Y537S who had significantly higher PHBR scores (p=0.0074).
Conclusions
The landscape of ESR1 mutations was more diverse in plasma at the point of endocrine resistance. ESR1 mutant cancers showed lower APOBEC and high clock-like mutational signatures, suggesting distinct genomic drivers of evolution. ESR1 WT cancers demonstrated copy gains in ESR1 and driver mutations related to MAPK activation, highlighting potential alternative genomic pathways to endocrine resistance.
Editorial acknowledgement
Clinical trial identification
Legal entity responsible for the study
The Institute of Cancer Research.
Funding
Pfizer.
Disclosure
S. Chia: Financial Interests, Personal, Funding: Novartis, Pfizer, Eli Lilly; Financial Interests, Personal, Research Grant: Exact Sciences. G. Schiavon: Financial Interests, Personal, Ownership Interest: AstraZeneca; Financial Interests, Personal, Full or part-time Employment: AstraZeneca. S.R.D. Johnston: Financial Interests, Personal, Research Grant: Eli Lilly, Pfizer, Puma Biotechnology; Financial Interests, Personal, Funding: AstraZeneca, Novartis, Sanofi Genzyme, Eisai. N. Turner: Financial Interests, Personal, Advisory Board: AstraZeneca, Eli Lilly, Pfizer, Roche/Genentech, Novartis, GSK, Repare Therapeutics, Relay Therapeutics, Zentalis, Gilead, Inivata, Guardant, Exact Sciences; Financial Interests, Personal, Funding: AstraZeneca, Pfizer, Roche/Genentech, Merck Sharpe & Dohme, Guardant Health, Invitae, Inivata, Personalis, Natera. B. O'Leary: Financial Interests, Personal, Other, Consulting: Merck Sharpe & Dohme, Oliver Whyman; Financial Interests, Personal, Speaker’s Bureau: Merck Sharpe & Dohme; Financial Interests, Personal, Research Grant: Pfizer. All other authors have declared no conflicts of interest.
Resources from the same session
4P - Predicting triple-negative breast cancer molecular subtype from hematoxylin and eosin using deep neural networks
Presenter: Nicola Occelli
Session: Cocktail & Poster Display session
Resources:
Abstract
5P - Onconaut: A precision medicine platform for oncology therapies
Presenter: Altuna Akalin
Session: Cocktail & Poster Display session
Resources:
Abstract
6P - Diagnostic accuracy of artificial intelligence in classifying HER2 status in breast cancer immunohistochemistry slides: A systematic review and meta-analysis
Presenter: Daniel Arruda Navarro Albuquerque
Session: Cocktail & Poster Display session
Resources:
Abstract
8P - Precision medicine drug testing platform to guide the treatment of EML4-ALK fusion lung cancers
Presenter: Sofia Merajver
Session: Cocktail & Poster Display session
Resources:
Abstract
9P - Circulating tumor cells and circulating tumor DNA detection in colorectal cancer stage III patients receiving three or six months of adjuvant treatment
Presenter: Asimina Koulouridi
Session: Cocktail & Poster Display session
Resources:
Abstract
10P - Novel theranostic agents in non-metastatic Egyptian breast cancer patients: miR-96, miR-1275, miR-4317 and miR-744
Presenter: Ahmed Mokhtar
Session: Cocktail & Poster Display session
Resources:
Abstract
11P - A prospective study to evaluate the prognostic implications and molecular mechanism of SLC40A1 gene in primary acute myeloid leukemia
Presenter: Harsh Goel
Session: Cocktail & Poster Display session
Resources:
Abstract
12P - Prognostic value of PD-L1 expression and neutrophil-to-lymphocyte ratio to neoadjuvant chemo-immunotherapy in muscle-invasive urothelial carcinoma patients from the AURA trial
Presenter: Jeremy Blanc
Session: Cocktail & Poster Display session
Resources:
Abstract
13P - Methylation of BRCA1 and RAD51C promoters determined by droplet digital PCR predicts homologous repair deficiency in patients with high-grade serous ovarian cancer: Results of the BOVARY-pilot study in paired FFPE and plasma samples and the ICL ovarian cohort
Presenter: Cassandra Michel
Session: Cocktail & Poster Display session
Resources:
Abstract
14P - SLFN11 detection in patients with small cell lung cancer treated with lurbinectedin: A retrospective translational analysis
Presenter: Daniela Scattolin
Session: Cocktail & Poster Display session
Resources:
Abstract