ArticleCancer science2016
Metabonomic changes from pancreatic intraepithelial neoplasia to pancreatic ductal adenocarcinoma in tissues from rats.
Article in Cancer science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Identification and analysis of pancreatic intraepithelial neoplasia: opportunities and challenges.Frontiers in endocrinology · 2024Review
- Article
- Article
- Metabolic profiling of induced acute pancreatitis and pancreatic cancer progression in a mutant Kras mouse model.Frontiers in molecular biosciences · 2022Article
- Current State of "Omics" Biomarkers in Pancreatic Cancer.Journal of personalized medicine · 2021Review
- Article
- Identification and functional analyses of differentially expressed metabolites in early stage endometrial carcinoma.Cancer science · 2018Article
- Circulating biomarkers for early diagnosis of pancreatic cancer: facts and hopes.American journal of cancer research · 2018Review
- Identification and causes of metabonomic difference between orthotopic and subcutaneous xenograft of pancreatic cancer.Oncotarget · 2017Article
- Recent Advances in NMR-Based Metabolomics.Analytical chemistry · 2017Review
- Metabonomic changes from pancreatic intraepithelial neoplasia to pancreatic ductal adenocarcinoma in tissues from rats.Cancer science · 2016Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the most malignant tumors and is difficult to diagnose in the early phase. This study was aimed at obtaining the metabolic profiles and characteristic metabolites of pancreatic intraepithelial neoplasia (PanIN) and PDAC tissues from Sprague-Dawley (SD) rats to establish metabonomic methods used in the early diagnosis of PDAC. In the present study, the animal models were established by embedding 7,12-dimethylbenzanthracene (DMBA) in the pancreas of SD rats to obtain PanIN and PDAC tissues. After the preprocessing of tissues, (1) H nuclear magnetic resonance (NMR) spectroscopy combined with multivariate and univariate statistical analysis was applied to identify the potential metabolic signatures and the corresponding metabolic pathways. Pattern recognition models were successfully established and differential metabolites, including glucose, amino acids, carboxylic acids and coenzymes, were screened out. Compared with the control, the trends in the variation of several metabolites were similar in both PanIN and PDAC. Kynurenate and methionine levels were elevated in PanIN but decreased in PDAC, thus, could served as biomarkers to distinguish PanIN from PDAC. Our results suggest that NMR-based techniques combined with multivariate statistical analysis can distinguish the metabolic differences among PanIN, PDAC and normal tissues, and, therefore, present a promising approach for physiopathologic metabolism investigations and early diagnoses of PDAC.
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