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BIOmarkers in Patients With Pancreatic Cancer (ȫIOPAC")


2008-07-03


2035-07-02


2035-07-02


5000

Study Overview

BIOmarkers in Patients With Pancreatic Cancer (ȫIOPAC")

No validated biomarkers to identify PC at an early stage and to predict treatment outcomes in the individual patient exist. The objective of the present study is to find diagnostic, prognostic and predictive biomarkers.

The overall survival of patients with pancreatic cancer (PC) is dismal and has only improved slightly during the last decades primarily due to combination chemotherapy. Early detection of PC is difficult and less than 25% of all PC patients are operated. No validated biomarkers to identify PC at an early stage and to predict treatment outcomes in the individual patient exist. The objective of the present study is to find diagnostic, prognostic and predictive biomarkers, which can be used to 1) diagnose PC early in the disease course with high specificity and sensitivity, 2) improve prognostication, or 3) predict and monitor treatment effectiveness and tolerability for the individual patient. BIOPAC is an observational and translational open cohort study with prospective collection of biological materials and clinical data in patients with PC treated in routine care and also patients who were suspicious for malignancy in the pancreas but then operated without evidence of malignancy. Patients contribute with blood samples (i.e. serum, EDTA plasma and buffy coat, and blood in PAXgeneRNA tubes) before operation or start of adjuvant or palliative chemotherapy and during treatment with blood sampling before 2. cycle of chemotherapy and longitudinally every time of CT scan until disease progression. This schedule is repeated if patients are treated with subsequent lines of chemotherapy. The patients are followed until death. Demographics, disease characteristics, comorbidities and lifestyle factors are registered at inclusion; weight and performance status at each treatment cycle; routine blood tests (i.e. haematology, creatinine, liver enzymes, bilirubin, carbohydrate antigen 19-9, C-reactive protein); type of operation; types of chemotherapy and number of cycles given; date of disease recurrence in operated patients; date of disease progression for each line of chemotherapy; and date of death. Biomarker analyses will include a range of molecules with different characteristics such as DNA, Single Nucleotide Polymorphism (SNPs), RNA, microRNA, proteins and metabolites. Data will be analysed using appropriate methods and statistical analyses.

  • Pancreatic Cancer
    • GI 0815

    Study Record Dates

    These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

    Study Registration Dates Results Reporting Dates Study Record Updates

    2017-10-06  

    N/A  

    2023-02-28  

    2017-10-11  

    N/A  

    2023-03-01  

    2017-10-17  

    N/A  

    2023-02  

    Study Plan

    This section provides details of the study plan, including how the study is designed and what the study is measuring.

    Design Details

    Primary Purpose:
    N/A


    Allocation:
    N/A


    Interventional Model:
    N/A


    Masking:
    N/A


    Arms and Interventions

    Participant Group/ArmIntervention/Treatment
    Primary Outcome MeasuresMeasure DescriptionTime Frame
    Diagnostic biomarkersBiomarker analyses include, but are not limited to a range of molecules with different characteristics such as DNA, Single Nucleotide Polymorphism (SNPs), RNA, microRNA, proteins and metabolites.baseline
    Prognostic biomarkersBiomarker analyses include, but are not limited to a range of molecules with different characteristics such as DNA, Single Nucleotide Polymorphism (SNPs), RNA, microRNA, proteins and metabolites.baseline and through study completion, an average of 1 year
    Predictive biomarkersBiomarker analyses include, but are not limited to a range of molecules with different characteristics such as DNA, Single Nucleotide Polymorphism (SNPs), RNA, microRNA, proteins and metabolites.baseline and through study completion, an average of 1 year
    Secondary Outcome MeasuresMeasure DescriptionTime Frame

    Contacts and Locations

    This section provides the contact details for those conducting the study, and information on where this study is being conducted.

    Study Contact

    Name: Julia Sidenius Johansen, MD, DMsc

    Phone Number: +45 38689241

    Email: Julia.Sidenius.Johansen@regionh.dk

    Study Contact Backup

    Name: Inna Markovna Chen, MD

    Phone Number: +45 38682898

    Email: Inna.Chen@regionh.dk

    Participation Criteria

    Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person’s general health condition or prior treatments.

    Ages Eligible for Study:
    ALL

    Sexes Eligible for Study:
    19 Years

    Accepts Healthy Volunteers:

      Inclusion Criteria:

    • Age > 18 years
    • Histologically verified PC (ductal adenocarcinoma) or ampullary adenocarcinoma in a resected specimen; or histopathological confirmation of carcinoma in patients not undergoing surgery in the setting of clinical and radiological characteristics which, together with the pathology, are consistent with a diagnosis of PC independently of stage

    • Exclusion Criteria:
      • None

    Collaborators and Investigators

    This is where you will find people and organizations involved with this study.

    Publications

    The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

    General Publications

    • Pedersen RS, Nissen NI, Jensen C, Thorlacius-Ussing J, Manon-Jensen T, Olesen ML, Langholm LL, Diab HMH, Jorgensen LN, Hansen CP, Chen IM, Johansen JS, Karsdal MA, Willumsen N. Plasma Kallikrein-Activated TGF-beta Is Prognostic for Poor Overall Survival in Patients with Pancreatic Ductal Adenocarcinoma and Associates with Increased Fibrogenesis. Biomolecules. 2022 Sep 17;12(9):1315. doi: 10.3390/biom12091315.
    • Nissen NI, Kehlet S, Johansen AZ, Chen IM, Karsdal M, Johansen JS, Diab HMH, Jorgensen LN, Sun S, Manon-Jensen T, He Y, Langholm L, Willumsen N. Noninvasive prognostic biomarker potential of quantifying the propeptides of Type XI collagen alpha-1 chain (PRO-C11) in patients with pancreatic ductal adenocarcinoma. Int J Cancer. 2021 Jul 1;149(1):228-238. doi: 10.1002/ijc.33551. Epub 2021 Mar 22.
    • Rasmussen LS, Yilmaz MK, Falkmer UG, Poulsen LO, Bogsted M, Christensen HS, Bojesen SE, Jensen BV, Chen IM, Johansen AZ, Hansen CP, Hasselby JP, Hollander N, Nielsen SE, Andersen F, Bjerregaard JK, Pfeiffer P, Johansen JS. Pre-treatment serum vitamin D deficiency is associated with increased inflammatory biomarkers and short overall survival in patients with pancreatic cancer. Eur J Cancer. 2021 Feb;144:72-80. doi: 10.1016/j.ejca.2020.10.038. Epub 2020 Dec 17.
    • Chen IM, Willumsen N, Dehlendorff C, Johansen AZ, Jensen BV, Hansen CP, Hasselby JP, Bojesen SE, Pfeiffer P, Nielsen SE, Hollander NH, Yilmaz MK, Karsdal M, Johansen JS. Clinical value of serum hyaluronan and propeptide of type III collagen in patients with pancreatic cancer. Int J Cancer. 2020 May 15;146(10):2913-2922. doi: 10.1002/ijc.32751. Epub 2019 Nov 11.
    • Mellby LD, Nyberg AP, Johansen JS, Wingren C, Nordestgaard BG, Bojesen SE, Mitchell BL, Sheppard BC, Sears RC, Borrebaeck CAK. Serum Biomarker Signature-Based Liquid Biopsy for Diagnosis of Early-Stage Pancreatic Cancer. J Clin Oncol. 2018 Oct 1;36(28):2887-2894. doi: 10.1200/JCO.2017.77.6658. Epub 2018 Aug 14.