From Standard of Care to mRNA Cancer Vaccines and Spatial Architecture-Based Precision Therapy in PDAC: Challenges

Elena X Stea1, Nikolaos Kydonakis2, Dimitrios H Roukos1

  • 1Centre for Biosystems and Genome Medicine, Ioannina University, 45110 Ioannina, Greece.

Cancers
|June 12, 2026
PubMed

Insights

Pancreatic cancer (PDAC) remains aggressive, with high recurrence after treatment. Advances in genomic profiling, mRNA vaccines, and AI-driven TME analysis offer hope for personalized therapies to improve survival.

Area of Science:

  • Oncology
  • Genomics
  • Immunotherapy

Background:

  • Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with poor outcomes.
  • Current treatments show limited efficacy, and recurrence rates remain high.
  • Novel therapeutic strategies are urgently needed to improve patient survival.

Purpose of the Study:

  • To review the latest advances in PDAC treatment.
  • To discuss unmet needs and future directions in PDAC care.
  • To explore the potential of emerging technologies for personalized PDAC therapy.

Main Methods:

  • Comprehensive genomic profiling using NGS-based assays (e.g., TSO500).
  • Analysis of circulating tumor DNA (ctDNA) for minimal residual disease (MRD) detection.
  • Integration of single-cell multiomics (SC MO), spatial multiomics (SPT), AI, and systems biology for TME analysis.

Main Results:

  • NGS-based profiling can guide targeted therapy selection.
  • mRNA cancer vaccines and ctDNA-based MRD prediction show promise for improving recurrence-free survival (RFS) and overall survival (OS).
  • Advanced multiomics and AI approaches enable holistic TME analysis.

Conclusions:

  • Personalized treatment combining immunotherapy, targeted drugs, and chemotherapy is crucial for PDAC.
  • Dynamic biomarkers derived from TME, genomic, and ctDNA data are essential for optimizing perioperative multimodal treatment.
  • Future clinical trials leveraging these advances aim to prevent recurrence and improve long-term outcomes in PDAC.

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