Abstract PD10-09: PD10-09 Multiomics analysis of matched ER+ primary and recurrent breast cancers on or after adjuvant endocrine therapy

Abstract

Abstract Background: 80% of all breast cancers (BCs) are ER-positive (ER+). Not all respond to adjuvant endocrine therapy (aET) and a significant number develop endocrine resistance and recur. The basis for primary and acquired endocrine resistance is poorly understood. A multiomics analysis of primary ER+ BCs matched with recurrences on or after completion of aET has been performed. Patients: A unique cohort of 520 women with matched primary and recurrent ER+, HER2-negative (HER2-) BC is being analysed. In the first subset of 75, all had surgery to clear margins, followed by aET. The endocrine therapy given was tamoxifen (66%), aromatase inhibitors (AI) (28%: 17% letrozole, 6% anastrozole, 2% exemestane, and 3% a succession of 2 different AIs), or a combination of tamoxifen and an AI (6%). aET duration was 5 years, unless the patient stopped treatment or developed a recurrence sooner. 16/75 patients (21%) had positive lymph nodes. All patients developed recurrences: local in 59/75, concurrent local and nodal in 13/75 and lymph node-only in 3/75. Median time to recurrence was 4.1 years (range: 0.7-29 years). 62% of patients were on aET at the time of recurrence. All patients have long-term follow-up. Methods: DNA and RNA were extracted from matched primary and recurrence BC tissue samples. Targeted DNA-exome and whole-genome expression analyses were performed. A custom targeted DNA panel was used to study genes implicated in endocrine therapy resistance (ETR): this included 73 different targets, selected based on our previous full-exome sequencing of sequential ET recurrences and those implicated in the literature and in curated somatic and cancer mutation databases. Somatic mutations and copy number alterations (CNA) were determined. Differential gene expression analysis was performed using two-class unpaired Significance Analysis of Microarrays (SAM). Validation of pathways implicated in ETR using NanoString GeoMx protein analysis is ongoing. Results: Targeted DNA-exome profiling identified 1 or 2 potential driver mutations in all but a few primary samples. Multiple aberrations and a highly diverse mutational landscape were observed in all the recurrences. Matched breast and lymph node samples from synchronous recurrences had very similar somatic profiles. Changes significantly enriched in recurrent samples included somatic aberrations in well-established drivers such as MAP3K1, PIK3CA, TP53 and CDH1, as well as ESR1. Aberrations were also common in PTEN and in ER-associated factors FOXA1 and GATA3. Transcriptomic analysis revealed a number of pathways implicated in resistance, including ER, HER2, GATA3, AKT, RAS and p63 signalling. A panel-based, targeted DNA sequencing approach for mutational profiling allowed capture of relevant mutational profiles linked to ETR in a cost-effective manner compared with traditional whole-exome sequencing. Ongoing analysis has linked mutational profiles to specific endocrine agents and has allowed us to demonstrate significant differences between recurrences on aET compared with those after completion of aET. Multiomics profiling of the remaining samples in the cohort is underway. Discussion: This multiomics study provides the largest cohort to-date of matched early and recurrent ER+/HER2- BCs. It has shed new light on how different adjuvant endocrine agents can affect primary drivers and lead to complex somatic and transcriptomic changes in recurrent disease. This work confirms that the mechanisms of endocrine resistance are diverse and has already identified mechanisms underlying ETR and clinically meaningful biomarkers of ETR, including potentially actionable mutations and targets. Citation Format: Carlos Martinez-Perez, Charlene Kay, James Meehan, J Michael Dixon, Arran K Turnbull. PD10-09 Multiomics analysis of matched ER+ primary and recurrent breast cancers on or after adjuvant endocrine therapy [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD10-09.