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Integrating a microRNA signature as a liquid biopsy-based tool for the early diagnosis and prediction of potential therapeutic targets in pancreatic cancer.

Wenjie ShiThomas WartmannSara AccuffiSara Al-MadhiAristotelis PerrakisChristoph KahlertAlexander LinkMarino VeneritoVerena Keitel-AnselminoChristiane BrunsRoland S CronerYue ZhaoUlf Dietrich Kahlert
Published in: British journal of cancer (2023)
A panel of three miRNAs was developed with satisfactory statistical and computational performance in real-world data. Circulating hsa-miRNA 205-5p serum levels serve as a minimally invasive, early detection tool for pancreatic cancer diagnosis and disease staging and might help monitor therapy success.
Keyphrases
  • minimally invasive
  • lymph node
  • electronic health record
  • big data
  • pet ct
  • ultrasound guided
  • ionic liquid
  • stem cells
  • robot assisted
  • machine learning
  • fine needle aspiration
  • deep learning
  • artificial intelligence