Abstract

e13076 Background: Breast cancer is the most diagnosed cancer in women globally, mainly as hormone receptor HR-positive, HER2-negative. While endocrine therapies have markedly improved clinical outcomes, the threat of disease progression persists. This study introduces an ultra-sensitive circulating tumor DNA (ctDNA) Next-Generation Sequencing (NGS) assay that was designed for in-depth genomic profiling of breast cancer patients undergoing endocrine therapy, aimed at detecting treatment resistance and monitoring disease progression. Methods: In this ongoing investigation, 46 patients with advanced HR-positive, HER2-negative breast cancer were enrolled, and plasma samples were collected subsequent to first-line aromatase inhibitor (AI) treatment and before the initiation of second-line treatment with fulvestrant. The study employed the PredicineCARE ULTRA, an ultra-sensitive liquid biopsy assay with a proprietary NGS panel and exceeds 100,000x coverage, allowing for the ultra-sensitive identification of genomic alterations, surpassing the detection capabilities of standard ctDNA NGS assays with approximately 20,000x coverage. Results: Within the cohort of 46 patients, the ultra-sensitive assay detected 193 somatic mutations, 95 gene copy number variants (CNVs), and a gene fusion involving FGFR3. The most commonly mutated genes, with a prevalence of 20% or more, were TP53 (33%), PIK3CA (26%), ATM (24%), ESR1 (22%), and BRCA2 (20%). These findings were benchmarked against results from a down-sampling algorithm designed to emulate ctDNA assays with 20,000x coverage. The ultra-sensitive assay revealed 31.3% more mutations (193 vs. 147) and 30.1% more CNVs. It was especially proficient in detecting mutations with allele frequencies (MAF) below 0.1%, identifying 10 additional mutations not observed at the standard ctDNA assay sensitivity, with the lowest MAF detected being 0.03% compared to the 0.1% threshold of the standard assay. This heightened sensitivity was evident in genes associated with targeted therapies and drug resistance, identifying 30.7% more variations in PIK3CA and 11.1% more in ESR1, with the lowest MAFs of 0.08% and 0.06%, respectively. The FGFR3-BAIAP2L1 gene fusion was also uniquely detected by the ultra-sensitive assay, with a MAF of 0.09%. Conclusions: The ultra-sensitive ctDNA NGS assay demonstrated superior detection of low-frequency mutations in HR-positive, HER2-negative breast cancer, significantly outperforming standard liquid biopsy assays. This enhanced sensitivity may offer profound implications for identifying more diagnostically positive patients who may benefit from targeted therapy such as PIK3CA and ESR1 inhibitors. This ultra-sensitive ctDNA assay will also enable early detection of treatment resistance and refined disease monitoring, potentially guiding more effective personalized therapies.

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