Abstract Background: Breast cancer is a complex disease characterized by heterogeneity, and the analysis of circulating tumor DNA (ctDNA) holds promise for capturing this heterogeneity. Recently, ctDNA testing has been employed in clinical practice to guide targeted therapies for metastatic breast cancer, particularly in cases of hormone receptor-positive disease with mutations in PIK3CA and ESR1. This approach becomes necessary when traditional tumor biopsies are inadequate for next-generation sequencing (NGS) testing or fail to capture the full extent of the cancer's heterogeneity. Moreover, the utilization of antibody-drug conjugates (ADC) in addressing tumor heterogeneity continues to expand. However, there has been no biomarker, outside of HER2 protein expression, to predict ADC response. In this project, we test the hypothesis that ctDNA can be utilized as a biomarker to predict response to novel therapies such as ADCs. Methods: We analyzed a subset of patients from the Dallas Metastatic Breast Cancer Study comprised of patients with metastatic breast cancer (n= 109) who underwent ctDNA testing using the Tempus xF liquid biopsy ctDNA sequencing panel. This panel detects 105-genes that are known oncogenic drivers and resistance mutations. The data was collected from a single academic medical center between the initial year of ctDNA collection in 2019 and 2023. Results: Among these patients, 85 (77.9%) had hormone receptor-positive disease, 13 (11.9%) had triple-negative breast cancer, and 11 (10.0%) had HER2-positive disease (including 3 (2.75%) patients with triple-positive disease). Only 22 of these patients had tissue biopsies that underwent NGS testing. Analysis of all patients revealed that the most common gene alteration was PIK3CA, which was identified in 70 patients. Specifically, the most frequently observed alteration was PIK3CA p.545K, found in 25 patients. Table 1 further details the frequency of each gene in this subset of patients. Among the patients, 34 out of 109 (31%) received an ADC, while only 8 out of 109 (7%) received immunotherapy. Patients with CDKN2A achieved the longest progression-free survival (PFS) on an ADC, with a median PFS of 7 months, whereas patients carrying mutations in TP53, PIK3R1, PIK3CA, PTEN, NF1, BRAF, RHOA, FGFR4, KRAS, TERT, GATA3, HNF1A, FB1, STOP had median PFSs of 2 months or less. Table 2 provides additional information on the response of patients with specific mutations to ADCs. Notably, only one patient received sequential ctDNA testing, and in that case, there was a gain of TP53 p.N239S following sacituzumab govitecan administration compared to the baseline ctDNA test, followed by a gain of PIK3CA p.P449_L455del after trastuzumab deruxtecan administration. Conclusions: As we observe changes in subtypes following treatment progression, researchers are actively seeking biomarkers to better characterize real-time changes in tumor biology that can predict response and resistance to treatments. Further studies are needed to identify additional genes present in ctDNA that can provide mechanistic insights into why certain patients respond favorably to ADCs while others do not. We are currently enrolling patients for a prospective study that aims to assess baseline ctDNA levels and monitor changes in variant allele frequency following treatment with ADCs and immunotherapy. Table 2 Median PFS on ADC by Gene Citation Format: Hannah Chang, Isabela Anawate, Alyssa Low, Shao-Po Huang, Julia Maues, Christine Hodgdon, Isaac Chan. Circulating Tumor DNA as a Biomarker for ADCs in Metastatic Breast Cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-14-10.