ReviewJournal of the Egyptian National Cancer Institute2025
Pancreatic cancer in the era of precision medicine: challenges, advances, and the future of therapeutic strategies.
Review in Journal of the Egyptian National Cancer Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Synergistic Sensitization of Pancreatic Cancer Cells by Nanosecond Pulsed Electric Fields and Cold Atmospheric Plasma via Amplifying ROS and Apoptotic Signaling.International journal of molecular sciences · 2026Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreatic cancer stands among the most aggressive and fatal malignancies, with a steadily increasing incidence worldwide. Its clinical significance lies not only in its high mortality rate but also in the challenges associated with its early detection, limited therapeutic efficacy, and substantial impact on healthcare systems. The asymptomatic nature of the disease in its initial stages, combined with the absence of reliable early biomarkers, contributes to frequent late-stage diagnoses, significantly compromising treatment success and patient survival. Furthermore, the biological complexity of pancreatic tumors - often marked by specific genetic mutations and a highly immunosuppressive tumor microenvironment - drives resistance to conventional therapies, exacerbating clinical management difficulties. MAIN BODY: This narrative review offers a comprehensive synthesis of the major therapeutic challenges and recent advances in pancreatic cancer management over the past fifteen years. The main challenges include delayed diagnosis, the presence of treatment-resistant tumor subtypes, and the considerable financial burden of care. Particular attention is given to the tumor microenvironment, which impedes drug delivery and immune system activation due to its dense fibrotic stroma and immunosuppressive cellular composition. The review also explores emerging therapeutic strategies, including combination chemotherapy regimens such as folinic acid, fluorouracil, irinotecan, and oxaliplatin, and advanced radiotherapy techniques that aim to enhance precision while minimizing tissue damage. Furthermore, novel immunotherapeutic approaches - including messenger RNA-based vaccines and engineered cellular therapies - show promising results in stimulating targeted immune responses, although they face substantial barriers due to the tumor's immune evasion mechanisms. Targeted therapies focused on specific genetic alterations, especially those involving KRAS mutations, are also highlighted as potential breakthroughs. The review concludes by emphasizing the relevance of personalized medicine, with biomarker-driven strategies and three-dimensional tumor models offering more tailored and potentially effective interventions.
conclusionDespite meaningful progress in the development of innovative therapeutic modalities, pancreatic cancer continues to present profound medical and scientific challenges. Integrating personalized, interdisciplinary approaches and advancing early diagnostic tools remain essential steps toward improving clinical outcomes and extending survival in affected patients. This review underscores the urgent need for continued research to transform current insights into effective and accessible treatment strategies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.