Related Experiment Video
Updated: Jun 13, 2026

Magnetic Fluorescent Bead-Based Dual-Reporter Flow Analysis of PDL1-Vaxx Peptide Vaccine-Induced Antibody Blockade of the PD-1/PD-L1 Interaction
Published on: July 7, 2023
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.
Abstract:
Pancreatic ductal adenocarcinoma (PDAC) is the most complex and aggressive disease with the worst rates of unresectable or metastatic disease at diagnosis, resistance to systemic therapy, and case fatality rate (CFR) among leading cancers. In non-metastatic disease, neoadjuvant treatment with modern chemotherapeutic regimens followed by surgical resection and/or adjuvant mFOLFIRINOX has significantly improved oncological outcomes. However, recurrence rates remain alarmingly high, while immune checkpoint inhibitors (ICIs) or molecularly targeted therapy have not yet demonstrated clinical benefits. Comprehensive genomic profiling through NGS-based approved assays such as TruSight Oncology 500 (TSO500) could guide targeted therapy. Rapidly evolving mRNA cancer vaccines and circulating tumor DNA (ctDNA)-based prediction of minimal residual disease (MRD) and recurrence risk hold great promise towards the realization of rational combination therapy to improve recurrence-free survival (RFS) and overall survival (OS). More recently, single-cell multiomics (SC MO), spatial proteomics and transcriptomics (SPT), artificial intelligence (AI), and systems biology have revolutionized cancer research, enabling holistic tumor microenvironment (TME) analysis. In this comprehensive review, we describe the latest advances and unmet needs in the standard of care of PDAC. Moreover, we discuss the expectations of ongoing randomized clinical trials of adjuvant mRNA vaccine-based therapy and ctDNA MRD testing as prognostic biomarkers, towards personalized treatment to improve RFS and OS in a medium-term perspective. With a longer perspective, we explore how harnessing SC MO, SPT, AI, and systems biology can reveal the 3D spatial organization of interacting cancer, immune, and stromal cells. Multi-dimensional TME-, TSO500- and ctDNA-based framework of dynamic biomarkers are of paramount importance to achieve an optimal patient-specific perioperative multimodal treatment combining precision immunotherapy, targeted drugs, and modern chemotherapy, translated into future practice-changing clinical trials, that could eliminate MRD towards recurrence prevention.
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.
Related Concept Videos
Cancer Vaccines
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
Targeted Cancer Therapies
There are several types of targeted therapies against specific...
Targeted Cancer Therapies
There are several types of targeted therapies against specific...
Tumor Immunotherapy
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
Combination Therapies and Personalized Medicine
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
