UCSF study links autoantibodies to response of melanoma patients to a dendritic cell vaccine in trial
Analysis of samples from a dendritic cell vaccine trial (NCT01622933) found de novo autoantibodies after vaccination, most often in patients with a favorable outcome, the authors report.

A team from the Parker Institute for Cancer Immunotherapy, the University of California San Francisco and the Fred Hutchinson Cancer Center analysed autoantibody profiles in patients with melanoma who received a dendritic cell-based vaccine. The results were published on 4 November 2026 in Nature Communications; the corresponding author is Lisa H. Butterfield. doi.org
Nature Communicationsdoi.orgOpen source ↗ The patients came from a vaccine trial registered as NCT01622933, and profiles were assessed before and after vaccination.
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Autoantibody profiling by PhIP-seq and REAP
The authors applied two assays: phage immunoprecipitation sequencing (PhIP-seq) and Rapid Extracellular Antigen Profiling (REAP). doi.org
Nature Communicationsdoi.orgOpen source ↗ Compared with healthy donors, patients with melanoma showed significantly elevated breadth and titer of autoantibodies.
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Vaccination induced de novo autoantibodies, particularly those associated with a favorable clinical outcome. doi.org
Nature Communicationsdoi.orgOpen source ↗ The vaccine expresses multiple tumor-associated antigens. Increased B cell receptor signaling pathways in patients correlated with a favorable clinical response to it.
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Cytokines, monocytes and biomarker signatures
Development of autoantibodies was associated with reduced serum levels of SDF1-alpha, MIP-1ß and MCP1 and with increased circulating monocytes. doi.org
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From plasma autoantibody profiles, the authors identified signatures that separate patients with melanoma from healthy subjects. They also identified signatures that separate clinical responders from non-responders to the vaccination treatment. doi.org
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According to the authors, these findings demonstrate the potential of autoantibodies as diagnostic and prognostic biomarkers that predict clinical outcomes in cancer. doi.org
Nature Communicationsdoi.orgOpen source ↗ The first author of the paper is Paul V. Munson; co-authors include Juraj Adamik, Yile Dai, Marshall A. Thompson, Christine N. Spencer, Caleigh Mandel-Brehm and Aaron M. Ring.
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