Here we report on the development of a sensitive and cost-effective method to longitudinally track ESR1 and PIK3CA mutations from cfDNA in patients with metastatic breast cancer (MBC) using a streamlined and decentralized workflow. Hotspot mutations in ESR1 have been shown to cause resistance to aromatase inhibitor-based and anti-estrogenic therapies, while PIK3CA mutations have high prevalence in MBC. As a result, their utility as circulating biomarkers to predict or monitor response in the clinical development of investigational compounds has been the focus of many studies. Six regions in ESR1 and PIK3CA genes containing 20 hotspot mutations were preamplified, followed by optimized singleplex ddPCR assays to detect allele frequencies of individual mutations. Without pre-amplification, the limit of detection (LOD) and limit of linearity (LOL) of individual ddPCR assays were at 0.05-0.1% and 0.25% level, respectively. With pre-amplification, the LOD and LOL were slightly elevated at 0.1-0.25% and 0.25-0.5% levels, respectively. High concordance was achieved to the BEAMing assay (Sysmex Inostics) for mutation positive assays (r=0.98, P<0.0001). In conclusion, coupling pre-amplification and ddPCR assays allowed us for the detection of up to 20 hot spot mutations in ESR1 and PIK3CA with high sensitivity and reproducibility.Introduction: