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Metabolomic profile in pancreatic cancer patients: a consensus-based approach to identify highly discriminating metabolites.

ABSTRACT: pancreatic adenocarcinoma is the fourth leading cause of cancer related deaths due to its aggressive behavior and poor clinical outcome. There is a considerable variability in the frequency of serum tumor markers in cancer' patients. We performed a metabolomics screening in patients diagnosed with pancreatic cancer.Two targeted metabolomic assays were conducted on 40 serum samples of patients diagnosed with pancreatic cancer and 40 healthy controls. Multivariate methods and classification trees were performed.Sparse partial least squares discriminant analysis (SPLS-DA) was used to reduce the high dimensionality of a pancreatic cancer metabolomic dataset, differentiating between pancreatic cancer (PC) patients and healthy subjects. Using Random Forest analysis palmitic acid, 1,2-dioleoyl-sn-glycero-3-phospho-rac-glycerol, lanosterol, lignoceric acid, 1-monooleoyl-rac-glycerol, cholesterol 5?,6? epoxide, erucic acid and taurolithocholic acid (T-LCA), oleoyl-L-carnitine, oleanolic acid were identified among 206 metabolites as highly discriminating between disease states. Comparison between Receiver Operating Characteristic (ROC) curves for palmitic acid and CA 19-9 showed that the area under the ROC curve (AUC) of palmitic acid (AUC=1.000; 95% confidence interval) is significantly higher than CA 19-9 (AUC=0.963; 95% confidence interval: 0.896-1.000).Mass spectrometry-based metabolomic profiling of sera from pancreatic cancer patients and normal subjects showed significant alterations in the profiles of the metabolome of PC patients as compared to controls. These findings offer an information-rich matrix for discovering novel candidate biomarkers with diagnostic or prognostic potentials.

SUBMITTER: Di Gangi IM

PROVIDER: S-EPMC4868723 | biostudies-literature | 2016 Feb

REPOSITORIES: biostudies-literature

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Metabolomic profile in pancreatic cancer patients: a consensus-based approach to identify highly discriminating metabolites.

Di Gangi Iole Maria IM Mazza Tommaso T Fontana Andrea A Copetti Massimiliano M Fusilli Caterina C Ippolito Antonio A Mattivi Fulvio F Latiano Anna A Andriulli Angelo A Vrhovsek Urska U Pazienza Valerio V

Oncotarget 20160201 5

<h4>Purpose</h4>pancreatic adenocarcinoma is the fourth leading cause of cancer related deaths due to its aggressive behavior and poor clinical outcome. There is a considerable variability in the frequency of serum tumor markers in cancer' patients. We performed a metabolomics screening in patients diagnosed with pancreatic cancer.<h4>Experimental design</h4>Two targeted metabolomic assays were conducted on 40 serum samples of patients diagnosed with pancreatic cancer and 40 healthy controls. Mu ...[more]

PMID: 26735340

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Dataset Information

Metabolomic profile in pancreatic cancer patients: a consensus-based approach to identify highly discriminating metabolites.

Publications

Metabolomic profile in pancreatic cancer patients: a consensus-based approach to identify highly discriminating metabolites.

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