1. Define the circRNA expression profile in PDAC and identify dysregulated circRNA candidates. These will be validated in further tissue samples. 2. Evaluate candidate circRNA Expression in blood (plasma samples) as a clinically relevant diagnostic biomarker; expanding on the primary objective to include other diagnostic features such as specificity, area under the receiver operator curve, positive predictive value and negative predictive value. 3. Explore the expression of candidate circRNAs and related molecules in patient biomaterials (including tissue, blood, bile and biopsy samples) as biomarkers for diagnosis; prognostication; association with clinico-pathologic features and survival outcomes; and their ability to predict/monitor treatment response e.g. surgery and/or chemotherapy. 4. Utilise computer-based analyses to describe the theoretical interactions of candidate circRNAs within the full complement of RNA and related molecules produced by the tumour cells, called the 'transcriptome', in human PDAC.
This first step of this project is a 'discovery experiment' to describe the expression profiles of 8 PDAC tissue samples compared to controls; with subsequent validation of candidate circRNAs: 8 paired samples of PDAC tumour tissue and associated normal pancreatic tissue will be collected at the time of surgery (after the pancreatic tumour is resected). The expression levels of circRNAs will be profiled and the most significantly dysregulated candidate circRNAs will be chosen (also considering other datasets and the current literature in this decision). The second step of this project is a prospective non-interventional observational cohort study to investigate these candidate circRNAs further: The expression of these candidate circRNAs expression levels will be measured longitudinally throughout the clinical timeline of patients with PDAC in blood samples; and in bile, tissue and biopsy samples (when this is safely available after clinical sampling and without additional investigations). This will be compared against control patients with benign biliary disease and other biliary tract cancers. These controls would only be available for blood tests and, if undergoing cholecystectomy, bile. Blood tests will be taken alongside clinical bloods or after anaesthesia for surgical procedures, bile will be taken after removal of the gallbladder for gallstone disease when this is in excess to clinical requirements. The ability of each circRNAs as a diagnostic, prognostic and predictive biomarkers will be described and compared to CA 19-9 (the only biomarker that is currently widely accepted in PDAC). This will first be considered in blood samples and then other patient biomaterials. The final part of the project will be to undertake both computer and laboratory evaluation of candidate circRNAs in order to propose a its molecular relationships and how this may explain and associations described. A Bioinformatical review will give the ability to computationally determine the miRNA-binding capabilities of candidate circRNAs, and the downstream mRNAs regulated. Gene-ontology and KEGG pathway enrichment-analyses of the differentially expressed genes will allow a global-view of the transcriptome under circRNA regulation in PDAC.
Study Type
OBSERVATIONAL
Enrollment
186
Royal Surrey County Hospital
Guildford, United Kingdom
RECRUITINGcircRNAs for diagnosis
To identify a plasma circRNA 'signature' able to diagnose Pancreatic Ductal Adenocarcinoma (PDAC) with superior sensitivity than serum CA 19-9
Time frame: 12 months
Describe circRNAs expression profile
Define and validate the circRNA expression profile in PDAC and identify dysregulated circRNA candidate(s).
Time frame: 12 months
Diagnostic features of blood circRNAs
Evaluate candidate circRNA expression in blood (plasma) as a clinically relevant diagnostic biomarker; expanding on the primary objective to include other diagnostic features, such as specificity, area under the receiver operator curve, positive predictive value and negative predictive value
Time frame: 12 months
circRNAs in other biomaterials
Explore the expression of candidate circRNAs, and related molecules, in patient biomaterials (including tissue, blood, bile and biopsy samples) as biomarkers for diagnosis; prognostication; association with clinico-pathologic features and survival outcomes; and their ability to predict/monitor treatment response (i.e. surgery and/or chemotherapy).
Time frame: 30 months
Bioinformatics
tilise computer-based analyses to describe the theoretical interactions of candidate circRNAs within transcriptome in human PDAC.
Time frame: 18 months
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