Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

The findings from this study have significant implications for the future of pancreatic cancer management. By identifying a 20-protein panel with diagnostic and screening potential, this research provides a foundation for developing early detection tools for PDA, an aggressive cancer with limited treatment options. The classification of PDA into four proteomic subtypes with distinct prognostic outcomes paves the way for subtype-specific therapeutic approaches, allowing clinicians to better stratify patients based on their risk profiles. Additionally, the validated 18-protein risk score, which enhances survival prediction and operates independently of existing clinical variables, represents a promising tool for personalized prognostic assessments. Incorporating these proteomic-based biomarkers into clinical practice could improve diagnostic accuracy, guide individualized treatment decisions, and ultimately enhance patient outcomes in PDA. This study underscores the potential of proteomic profiling to improve cancer treatment by providing targeted, actionable insights into tumor biology.

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Publication Details

Journal
Cancer Research Communications
Published
2025-09-26
DOI
https://doi.org/10.1158/2767-9764.crc-25-0229
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Angela S. Y. Chou, Nicola Waddell, Amy Sheen, Mohashin Pathan et al.
Cancer Research Communications
Pancreatic and Hepatic Oncology Research
article

Mapping the Proteomic Landscape of Pancreatic Cancer: Prognostic Insights and Subtype Stratification

Angela S. Y. Chou, Nicola Waddell, Amy Sheen, Mohashin Pathan, Natasha Lucas, Jaswinder Singh Samra, Olga Kondrashova, Roger R. Reddel, Jason Grealey, Steven G. Williams, Daniel Bucio-Noble, Jennifer M.S. Koh, Loretta Sioson, Anubhav Mittal, John V. Pearson, Zainab Noor, Dylan Xavier, Erin K. Sykes, AKM Azad, Asim Anees, Erin M. Humphries, Sumit Sahni, Adel T. Aref, Australian Pancreatic Cancer Genome Initiative, Ruth J. Lyons, Donald C. Smith
article en

Abstract

The findings from this study have significant implications for the future of pancreatic cancer management. By identifying a 20-protein panel with diagnostic and screening potential, this research provides a foundation for developing early detection tools for PDA, an aggressive cancer with limited treatment options. The classification of PDA into four proteomic subtypes with distinct prognostic outcomes paves the way for subtype-specific therapeutic approaches, allowing clinicians to better stratify patients based on their risk profiles. Additionally, the validated 18-protein risk score, which enhances survival prediction and operates independently of existing clinical variables, represents a promising tool for personalized prognostic assessments. Incorporating these proteomic-based biomarkers into clinical practice could improve diagnostic accuracy, guide individualized treatment decisions, and ultimately enhance patient outcomes in PDA. This study underscores the potential of proteomic profiling to improve cancer treatment by providing targeted, actionable insights into tumor biology.

Cancer Research CommunicationsVol. 5(10)
The University of Sydney (AU), Garvan Institute of Medical Research (AU), Children's Medical Research Institute (AU), QIMR Berghofer Medical Research Institute (AU), Royal North Shore Hospital (AU), The Kinghorn Cancer Centre (AU), St Vincents Institute of Medical Research (AU), The University of Notre Dame Australia (AU)
Openalex Percentile: Top 64%
Pancreatic and Hepatic Oncology Research
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