{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T02:16:34Z","timestamp":1768529794006,"version":"3.49.0"},"posted":{"date-parts":[[2025,11,18]]},"group-title":"Systems Biology","reference-count":63,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T00:00:00Z","timestamp":1763424000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.biorxiv.org\/about\/FAQ#license"}],"funder":[{"name":"NIH","award":["NIH R01CA247441, U01CA261842 and R21EB031982, NIH R01CA284372, and R21AG072205"],"award-info":[{"award-number":["NIH R01CA247441, U01CA261842 and R21EB031982, NIH R01CA284372, and R21AG072205"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2025,11,18]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                <jats:p>Antigen-based tumor vaccines rely on adjuvants to stimulate local inflammation, recruit antigen-presenting cells (APCs), and enhance immune activation. However, the complex interplay between antigen transport, lymphatic drainage, and immune cell dynamics across organs remains poorly understood, limiting the rational design of vaccination strategies. Here, we present a multiscale compartmental Physiologically Based Pharmacokinetic (PBPK) model of antigen vaccination that integrates systemic circulation, lymphatic connectivity, and immune cell activation at the whole-body level. The model incorporates arterial, venous, and lymphatic flows, organ-specific interstitium and lymph node (LN) networks, and a superficial skin network. The model reproduces spatiotemporal distributions of antigen and suppressive factors, APC activation, and nT priming across activation sites, including LNs and spleen. Our results show that the sensitivity of vaccination-induced immunity is highly related to antigen and suppressive factor production by the tumor, and that early-stage vaccination, enhances immunity. Since the model is able to identify optimal vaccination administration over the course of tumor growth for each patient with certain levels of antigen and immune suppressive factors, it can serve as the foundation for digital twins of patients to help inform anti-cancer vaccination strategies.<\/jats:p>\n                <jats:sec>\n                  <jats:title>Teaser<\/jats:title>\n                  <jats:p>A PBPK model links body-wide immune transport to optimize cancer vaccine design and delivery.<\/jats:p>\n                <\/jats:sec>","DOI":"10.1101\/2025.11.17.688910","type":"posted-content","created":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T17:40:27Z","timestamp":1763487627000},"source":"Crossref","is-referenced-by-count":0,"title":["Optimizing Cancer Vaccinations Using a Physiologically Based Pharmacokinetic (PBPK) Model"],"prefix":"10.64898","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9016-1830","authenticated-orcid":false,"given":"Mohammad 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