Abstract
Pancreatic cancer (PC) is one of the most common malignant tumors in the digestive tract worldwide, with increased morbidity and mortality. In recent years, with the development of surgery, chemotherapy, radiotherapy, targeted therapy, and immunotherapy, and the change of the medical thinking model, remarkable progress has been made in researching comprehensive diagnosis and treatment of PC. However, the present situation of diagnostic and treatment of PC is still unsatisfactory. There is an urgent need for academia to fully integrate the basic research and clinical data from PC to form a research model conducive to clinical translation and promote the proper treatment of PC. This paper summarized the translation progress of mass spectrometry (MS) in the pathogenesis, diagnosis, prognosis, and PC treatment to promote the basic research results of PC into clinical diagnosis and treatment.
Highlights
Pancreatic cancer (PC) is an aggressive malignant tumor with 95% pancreatic ductal adenocarcinoma (PDAC)
mass spectrometry (MS) plays a significant role in the translational research of PC: [1] MS helps researchers explain the relationship between risk factors and PC pathogenesis
(2) MS helps to mine biomarkers in serum, bile, urine, and pancreatic duct fluid (PDF); in particular, artificial intelligence (AI) that aids in analyzing MS data is exciting
Summary
Pancreatic cancer (PC) is an aggressive malignant tumor with 95% pancreatic ductal adenocarcinoma (PDAC). The incidence and mortality of PC increased gradually, without reduction, and the 5-year survival rate was only 7% [5]. This contradiction indicates that some gaps may exist in basic and clinical research to address clinical problems. Translational science, a theory in development that links basic research to clinical treatment, highlights the bi-directional link between the laboratory and the hospital bed. Since this concept was formally put forward by the National Institutes of Health (NIH) in 2003, this emerging medical field has become a critical link between essential medicine and clinical practice. We will present the research progress of MS in PC diagnosis and treatment
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