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Biomarkers in Liquid Biopsies for Prediction of Early Liver Metastases in Pancreatic Cancer

Anne Sophie Mehdorn, Timo Gemoll, Hauke Busch, Katharina Kern, Silje Beckinger, Tina Daunke, Christoph Kahlert, Faik G. Uzunoglu, Alexander Hendricks, Florian Buertin, Uwe A. Wittel, Yoshiaki Sunami, Christoph Röcken, Thomas Becker, Susanne Sebens*

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive solid malignancies with poor survival rates. Only 20% of the patients are eligible for R0-surgical resection, presenting with early relapses, mainly in the liver. PDAC patients with hepatic metastases have a worse outcome compared to patients with metastases at other sites. Early detection of hepatic spread bears the potential to improve patient outcomes. Thus, this study sought for serum-based perioperative biomarkers allowing discrimination of early (EHMS ≤ 12 months) and late hepatic metastatic spread (LHMS > 12 months). Serum samples from 83 resectable PDAC patients were divided into EHMS and LHMS and analyzed for levels of inflammatory mediators by LEGENDplexTM, which was validated and extended by Olink® analysis. CA19-9 serum levels served as control. Results were correlated with clinicopathological data. While serum CA19-9 levels were comparable, Olink® analysis confirmed distinct differences between both groups. It revealed significantly elevated levels of factors involved in chemotaxis and migration of immune cells, immune activity, and cell growth in serum of LHMS-patients. Overall, Olink® analysis identified a comprehensive biomarker panel in serum of PDAC patients that could provide the basis for predicting LHMS. However, further studies with larger cohorts are required for its clinical translation.

OriginalspracheEnglisch
Aufsatznummer4605
ZeitschriftCancers
Jahrgang14
Ausgabenummer19
ISSN2072-6694
DOIs
PublikationsstatusVeröffentlicht - 10.2022

Fördermittel

We thank Liane Carstensen, Sandra Ussat, Maike Witt-Ramdohr, Bianca Zinke, Heike Polster, Stephanie Mewes and Julia Wilking for their excellent technical support. We thank the biobank of Comprehensive Cancer Centre North (BMB-CCC) and Biobanks of the other centers participating for providing blood samples and clinical data for this study. The BMB-CCC is a member of the PopGen 2.0 Biobanking Network (P2N) Kiel and was funded by the German Federal Ministry of Education and Research (BMBF grant 01EY1103). This research was funded by the Medical Faculty of Kiel University (A.-S.M.) and the Deutsche Krebshilfe (AZ 70112935, S.S.). The BMB-CCC was funded by the German Federal Ministry of Education and Research (BMBF grant 01EY1103).

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur

Strategische Forschungsbereiche und Zentren

  • Profilbereich: Lübeck Integrated Oncology Network (LION)

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