alexa Identification of New Biomarkers in Patients with Pancreatic Cancer (BIOPAC): A Study Protocol of an Open Cohort Study | OMICS International| Abstract
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Journal of Cancer Science & Therapy
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  • Research Article   
  • J Cancer Sci Ther/Vol.11.8 232(2019),

Identification of New Biomarkers in Patients with Pancreatic Cancer (BIOPAC): A Study Protocol of an Open Cohort Study

Inna Chen1*, Benny Vittrup Jensen1, Stig Egil Bojesen2,12, Astrid Zedlitz Johansen1, Nicolai Aagaard Schultz4, Carsten Palnæs Hansen4, Carsten PalnƦs Hansen, Jane Preuss Hasselby5, Niels Henrik Hollander6, Mette Hedager Bredahl Nissen7, Jon Kroll Bjerregaard8, Per Pfeiffer8, Mette Karen Yilmaz9, Louise Skau Rasmussen9, Svend Erik Nielsen10,11, Fahimeh Andersen10, Lars Henrik Jensen11 and Julia Sidenius Johansen1,3,12
1Department of Oncology, Herlev and Gentofte Hospital, Copenhagen University Hospital, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark
2Departments of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark
3Department of Medicine, Herlev and Gentofte Hospital, Copenhagen University Hospital, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark
4Department of Surgical Gastroenterology and Transplantation, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
5Department of Pathology, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
6Department of Oncology and Palliative Care, Zealand University Hospital, Ringstedgade 61, 4700, Naestved, Denmark
7Department of Oncology and Palliative Care, Zealand University Hospital, Sygehusvej 10, 4000, Roskilde, Denmark
8Department of Oncology, Odense University Hospital, J. B. Winsløws Vej 4, 5000, Odense, Denmark
9Department of Oncology, Aalborg University Hospital, Hobrovej 18-22, 9100, Aalborg, Denmark
10Department of Oncology, North Zealand University Hospital, Dyrehavevej 29, 3400, Hillerød, Denmark
11Department of Oncology, Palliative Team, Hospital Lillebaelt in Vejle, Beriderbakken 4, 7100 Vejle, Denmark
12Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
*Corresponding Author : Inna Chen, Department of Oncology, Herlev and Gentofte Hospital, Borgmester Ib Juuls Vej 1, DK-2730 Herlev, Denmark, Tel: +4538682898, Email: [email protected]

Received Date: Jul 10, 2019 / Accepted Date: Aug 02, 2019 / Published Date: Aug 09, 2019

Abstract

Background: The overall survival of patients with pancreatic cancer (PC) is dismal and has improved only slightly during the last decades. Early detection of PC is difficult, and less than 25% of all patients with PC are eligible for surgery. No validated biomarkers exist that identify PC at an early stage and predict treatment outcomes in the individual patient. The objective of the present study is to find diagnostic, prognostic and predictive biomarkers that can be used (1) to diagnose PC with high specificity and sensitivity early in the course of the disease, (2) to improve prognostication, and/or (3) to predict and monitor treatment effectiveness and tolerability for the individual patient.

Methods and analysis: Observational and translational open cohort study with prospective collection of biological materials and clinical data during all stages of the routine care of patients with PC and including patients with suspected pancreatic malignancy disproved after surgery. Blood samples are collected sequentially during the course of a patient’s treatment: before surgery, at start of adjuvant or palliative chemotherapy as well as during treatment until disease progression. The patients are followed until death. Demographics, disease characteristics, comorbidities and lifestyle factors are registered at inclusion and weight and performance status in association with each treatment cycle. Routine blood tests (i.e., haematology, creatinine, liver enzymes, bilirubin, carbohydrate antigen 19-9, C-reactive protein) are collected at regular intervals, and type of operation, chemotherapy and number of cycles given, date of disease recurrence in patients subjected to surgery, date of disease progression for each line of chemotherapy and date of death are recorded. Currently in July 7, 2019 a total of 5156 samples from 2141 patients have been collected.

Discussion: Biomarker analyses include a range of molecules such as deoxyribonucleic acid (DNA), single nucleotide polymorphism (SNPs), ribonucleic acid (RNA), microRNA, proteins and metabolites. Data will be analysed using appropriate methods and statistical analyses.

Conclusion: It is our hope that this ongoing study will provide new information on biomarkers and will contribute to precise treatment options for patients with PC in order to improve outcomes.

Trial Registration: ClinicalTrials.gov ID: NCT03311776. The trial was registered retrospectively; registration date 10/06/2017.

Keywords: Biobank; Biomarkers; Diagnostic biomarkers; Pancreatic cancer; Predictive biomarkers; Prognostic biomarkers

Citation: Chen I, Jensen BV, Bojesen SE, Johansen AZ, Schultz NA, et al. (2019) Identification of New Biomarkers in Patients with Pancreatic Cancer (BIOPAC): A Study Protocol of an Open Cohort Study. J Cancer Sci Ther 11: 232-239.

Copyright: © 2019 Chen I, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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