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Advances in Pancreatic Cancer: Exploring Biomarkers and Prognostic Predictors

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Biomarkers".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 490

Special Issue Editor


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Guest Editor
Departments of Gastroenterology, Miyagi Cancer Center, Nodayama 47-1, Medeshima-Shiote, Natori, Miyagi, Japan
Interests: pancreatic cancer; biomarkers; diagnosis; prognosis; liquid biopsy; proteomics; metabolomics

Special Issue Information

Dear Colleagues,

With our Special Issue, titled "Advances in Pancreatic Cancer: Exploring Biomarkers and Prognostic Predictors", we hope to shape the future of pancreatic cancer care and strive towards improved patient outcomes. For this Special Issue, we invite submissions on cutting-edge research in the field of pancreatic cancer diagnosis and prognosis, thereby contributing to advancements that will ultimately enhance patient prognosis. Topics of interest include the following: novel biomarkers (liquid biopsy, proteomics, metabolomics, etc.); established and emerging prognostic factors (tumor microenvironment, genetic alterations, and inflammatory markers); and their clinical implications for early detection, risk stratification, and personalized management. Submissions in forms of original research articles, reviews, and perspectives are welcome. Please submit your manuscripts by June 2026, so we collectively work toward a brighter future for pancreatic cancer patients.

We look forward to your submissions.

Dr. Makoto Abue
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • pancreatic cancer
  • biomarkers
  • diagnosis
  • prognosis
  • liquid biopsy
  • proteomics
  • metabolomics
  • tumor microenvironment
  • genetic aberrations/mutations
  • inflammatory markers

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Published Papers (1 paper)

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Review

22 pages, 747 KB  
Review
CA19-9 as a Dynamic Biomarker for Continuous Monitoring of Therapeutic Efficacy in Pancreatic Adenocarcinoma
by Luigi Brancato, Damar Osok, Laurent Van den Bossche, Eric Van Cutsem, Susan E. Bates, Johan Van den Bossche and Johannes Bogers
Cancers 2025, 17(24), 3902; https://doi.org/10.3390/cancers17243902 - 5 Dec 2025
Viewed by 246
Abstract
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, largely due to late-stage diagnosis and limited therapeutic efficacy. The carbohydrate antigen 19-9 (CA19-9) is the most widely used serum biomarker in the management of PDAC. While CA19-9 has significant limitations as [...] Read more.
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, largely due to late-stage diagnosis and limited therapeutic efficacy. The carbohydrate antigen 19-9 (CA19-9) is the most widely used serum biomarker in the management of PDAC. While CA19-9 has significant limitations as a screening or diagnostic tool, including low sensitivity for early-stage disease and a lack of expression in the Lewis antigen-negative population, its value in the post-diagnostic setting is well established. This review examines the production and clearance dynamics of CA19-9. It critically evaluates how these factors impact its role as a biomarker for prognosis, assessment of resectability, and real-time monitoring of therapeutic response and recurrence in patients with PDAC. We explore how the relatively short half-life and correlation with tumor burden make CA19-9 a dynamic tool for tracking disease progression and treatment efficacy, often providing insights that precede radiographic changes. This review concludes that, despite its limitations, CA19-9 remains an important, cost-effective, and widely accessible biomarker for the longitudinal management of patients with established pancreatic cancer. Its dynamic changes allow continuous real-time disease monitoring providing critical information for clinical decision-making. Full article
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