Unknown,Transcriptomics,Genomics,Proteomics

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Pancreatic tissue of 9 week old mice with genotypes Ptf1a-Cre;LSL-KrasG12D and Ptf1a-Cre;LSL-KrasG12D;Ptpn11fl/fl

ABSTRACT: To investigate the role of SHP2 (Ptpn11) in pancreatic carcinogenesis, murine pancreatic whole tissue RNA samples of 9 week old mice with the genotypes Ptf1a-Cre;LSL-KrasG12D (ID-labels Kxxx) and Ptf1a-Cre;LSL-KrasG12D;Ptpn11fl/fl (ID-labels Mxxxx) were analyzed by microarray.

INSTRUMENT(S): Affymetrix Fluidics Station FS450; Affymetrix GeneChip Scanner 3000 7G, Affymetrix Mouse Gene 1.0 ST

ORGANISM(S): Mus musculus

SUBMITTER: Dietrich Ruess

PROVIDER: E-MTAB-6399 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Pancreatic cancer is the third leading cause of cancer deaths in the United States with more than 53,000 expected to be diagnosed with the disease in 2018. The median survival time after diagnosis is four to six months. The poor survival statistics are due in part to the fact that pancreatic cancer is typically asymptomatic until it reaches advanced stages of the disease. Although surgical resection provides the best chance of survival, pancreatic cancer is rarely detected when surgery is still possible due, in part, to lack of effective biomarkers for early detection. The goal of the research reported here was to determine if it was possible to identify metabolic biomarkers for detection of pre-cancerous pancreatic intraepithelial neoplasia (PanIN) that precede pancreatic adenocarcinoma. The transgenic Ptf1a-Cre; LSL-KrasG12D mouse strain was used as a model of pancreatic cancer progression. Nuclear magnetic resonance (NMR) spectroscopy was employed to compare metabolic profiles of urine, sera, fecal extracts, and pancreatic tissue extracts collected from control and study mice aged 5, 11, and 15 months, including 47 mice with tumors. We were able to identify the following potential biomarkers: decreased 3-indoxylsulfate, benzoate and citrate in urine, decreased glucose, choline, and lactate in blood, and decreased phenylalanine and benzoate and increased acetoin in fecal extracts. Potential biomarkers were validated by p-values, PLS-DA VIP scores, and accuracies based on area under ROC curve analyses. Essentially, all of the metabolic profiling changes could be explained as being associated with the consequences of bicarbonate wasting caused by a complete substitution of the normal pancreatic acinar tissue by tissue entirely composed of PanIN. Given the nature of the mouse model used here, our results indicate that it may be possible to use NMR-based metabolic profiling to identify biomarkers for detection of precancerous PanIN that immediately precede pancreatic cancer.

Dataset Information

Pancreatic tissue of 9 week old mice with genotypes Ptf1a-Cre;LSL-KrasG12D and Ptf1a-Cre;LSL-KrasG12D;Ptpn11fl/fl

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