ArticleScientific reports2019
Integrated targeted metabolomic and lipidomic analysis: A novel approach to classifying early cystic precursors to invasive pancreatic cancer.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.
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.
The trial behind it
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
26 citing papers in PubMed, 39 citations in OpenAlex.
- Prognostic and Diagnostic Value of Serum Bile Acid Profiles in Pancreatic Cancer: a Retrospective Multicenter Cohort Study.Journal of gastrointestinal cancer · 2026Article
- Serum gamma-glutamyl transferase level is associated with the risk of pancreatic cystic neoplasms: A nationwide retrospective cohort study.World journal of gastroenterology · 2025Article
- Pancreatic Cancer Detection in Intraductal Papillary Mucinous Neoplasm (IPMN)-New Insights.Cancers · 2025Review
- A Case of Adipophilin-Positive Pancreatic Intraductal Papillary Mucinous Neoplasm (IPMN) With Eosinophilia.Cureus · 2025Article
- Machine Learning-Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi-Omics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- Proteogenomic analysis reveals Arp 2/3 complex as a common molecular mechanism in high risk pancreatic cysts and pancreatic cancer.Scientific reports · 2025Article
- Novel inhibitory effect of Omega-3 fatty acids regulating pancreatic cancer progression.Carcinogenesis · 2025Article
- Patient-derived pancreatic tumor bacteria exhibit oncogenic properties and are recognized by MAIT cells in tumor spheroids.Frontiers in immunology · 2025Article
- Molecular Pathway and Immune Profile Analysis of IPMN-Derived Versus PanIN-Derived Pancreatic Ductal Adenocarcinomas.International journal of molecular sciences · 2024Article
- Genetically predicted causal link between the plasma lipidome and pancreatic diseases: a bidirectional Mendelian randomization study.Frontiers in nutrition · 2024Article
- Lipidomics and pancreatic cancer risk in two prospective studies.European journal of epidemiology · 2023Article
- Article
- Review
- Clinical and Molecular Attributes and Evaluation of Pancreatic Cystic Neoplasm.Biochimica et biophysica acta. Reviews on cancer · 2023Review
- Multidimensional Immunophenotyping of Intraductal Papillary Mucinous Neoplasms Reveals Novel T Cell and Macrophage Signature.Annals of surgical oncology · 2022Article
- The oral microbiome, pancreatic cancer and human diversity in the age of precision medicine.Microbiome · 2022Review
- Liquid biopsy approach to pancreatic cancer.World journal of gastrointestinal oncology · 2021Review
- Review
- A Review of the Diagnosis and Management of Premalignant Pancreatic Cystic Lesions.Journal of clinical medicine · 2021Review
Corrections and comments
- Erratum issued
Authors and funding
13 authors at 5 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic cystic neoplasms (PCNs) are a highly prevalent disease of the pancreas. Among PCNs, Intraductal Papillary Mucinous Neoplasms (IPMNs) are common lesions that may progress from low-grade dysplasia (LGD) through high-grade dysplasia (HGD) to invasive cancer. Accurate discrimination of IPMN-associated neoplastic grade is an unmet clinical need. Targeted (semi)quantitative analysis of 100 metabolites and >1000 lipid species were performed on peri-operative pancreatic cyst fluid and pre-operative plasma from IPMN and serous cystic neoplasm (SCN) patients in a pancreas resection cohort (n = 35). Profiles were correlated against histological diagnosis and clinical parameters after correction for confounding factors. Integrated data modeling was used for group classification and selection of the best explanatory molecules. Over 1000 different compounds were identified in plasma and cyst fluid. IPMN profiles showed significant lipid pathway alterations compared to SCN. Integrated data modeling discriminated between IPMN and SCN with 100% accuracy and distinguished IPMN LGD or IPMN HGD and invasive cancer with up to 90.06% accuracy. Free fatty acids, ceramides, and triacylglycerol classes in plasma correlated with circulating levels of CA19-9, albumin and bilirubin. Integrated metabolomic and lipidomic analysis of plasma or cyst fluid can improve discrimination of IPMN from SCN and within PMNs predict the grade of dysplasia.
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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.