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April 5, 2026Cancer Research0 citations

Abstract 6531: Immunoaffinity-enriched extracellular vesicles reveal tumor-derived DNA mutations for breast cancer detection

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JKJee Ye KimYKYoung KimMKMin Woo Kim

Key Points

  • The aim is to evaluate whether extracellular vesicle-derived tumor DNA reflects tumor genotypes in breast cancer.
  • Isolated breast cancer-derived extracellular vesicles using EPCAM-targeted immunoaffinity capture.
  • Analyzed etDNA mutations using digital droplet PCR for accuracy.
  • Validated findings with both experimental models and clinical breast cancer samples.
  • Identified mutations through the TCGA dataset, focusing on four high-prevalence substitutions.
  • Mutational analysis showed that etDNA mutations from BEVs matched the genomic alterations in parental breast cancer cell lines.
  • DDPCR displayed high sensitivity with a limit of detection of 0.08 copies/µL.
  • Among 98 breast cancer patients, 58% of those with tumor tissue mutations had concordant etDNA mutations in plasma.
  • PIK3CA p.H1047R was the most frequent mutation observed.

Abstract

Abstract Background: Extracellular vesicle-derived tumor DNA (etDNA) has recently gained attention as a potential analyte for liquid biopsy; however, the biological origin and stability of EV-associated DNA remain controversial. These uncertainties highlight the need for size-independent, molecularly specific EV isolation approaches to rigorously evaluate tumor-derived DNA signals. To address this challenge, we isolated breast cancer-derived EVs (BEVs) using EPCAM-targeted immunoaffinity capture and assessed whether etDNA mutations accurately reflect tumor genotypes in both experimental models and clinical samples. Methods: Mutational targets frequently observed in breast cancer were identified using the TCGA dataset, and four high-prevalence substitutions (PIK3CA p.H1047R, PIK3CA p.E545K, TP53 p.R175H, TP53 p.R273H) were selected. BEVs were isolated from plasma using magnetic beads conjugated with anti-EPCAM antibodies. EV identity was confirmed via nanoparticle tracking analysis and immunoblotting. etDNA was extracted from the isolated BEVs and analyzed by digital droplet PCR (ddPCR). Analytical validation included mutation profiling of breast cancer cell lines, 1D/2D droplet cluster analysis, and limit of detection (LOD) assays. Clinical concordance was assessed using matched tumor tissue sequencing results from breast cancer patients. Results: In vitro studies demonstrated that etDNA mutations corresponded precisely to the genomic alterations of parental breast cancer cell lines. ddPCR yielded clear separation of mutant and wild-type droplets, and the assay showed high analytical sensitivity with an LOD of 0.08 copies/µL. Among 98 breast cancer patients, tumor tissue sequencing identified target mutations in 27 cases (28%). Of these, 19 had available plasma samples, and 11 patients (58%) harbored a concordant etDNA mutation in BEVs. PIK3CA p.H1047R was the most prevalent mutation in both tissue and etDNA. These findings indicate that EPCAM-enriched BEVs retain tumor-specific genetic alterations and that etDNA detection is feasible even at low DNA input, supporting potential applicability to early-stage or low-shedding disease. Conclusion: This study demonstrates that etDNA extracted from immunoaffinity-isolated BEVs reliably reflects the mutational landscape of breast cancer. The combination of EPCAM-based BEV capture and ddPCR provides a sensitive and specific workflow for mutation detection, independent of size-based EV purification. These results support the utility of etDNA as a clinically informative biomarker and highlight its potential to enhance the diagnostic performance of liquid biopsy, particularly in early-stage breast cancer or settings with low variant allele frequency. Citation Format: Jee Ye Kim, Young Kim, Min Woo Kim, Sol Moon, Su Ji Lee, Joon Ye Kim, Seung Il Kim. Immunoaffinity-enriched extracellular vesicles reveal tumor-derived DNA mutations for breast cancer detection abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 6531.

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Cite This Study

Kim et al. (2026) studied this question.

synapsesocial.com/papers/69d1fdbfa79560c99a0a400chttps://doi.org/10.1158/1538-7445.am2026-6531
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Abstract 5025: Extracellular vesicle DNA as a potential biomarker for cancer detection: A comparative analysis with ctDNA2024
  2. 2Abstract 3758: Evaluation of breast cancer-derived extracellular vesicles as diagnostic indicator for HER2 status2024
  3. 3Abstract 6523: High-purity isolation of tumor-derived extracellular vesicles via SEC-immunoaffinity integration improves diagnostic sensitivity in breast cancer2026
  4. 4Abstract 3746: Identification of cancer specific extracellular vesical biomarkers to aid in diagnosis of cancer2024
  5. 5Abstract 2436: In-depth analysis of microRNA signature in breast cancer derived extracellular vesicles: A potential biomarker repository for breast cancer diagnosis2024 · 3 citations