Emerging blood-based biomarkers for detection of gastric cancer

Zane Kalnina, Irena Meistere, Ilze Kikuste, Ivars Tolmanis, Pawel Zayakin, Aija Line

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

Abstract

Early detection and efficient monitoring of tumor dynamics are prerequisites for reducing disease burden and mortality, and for improving the management of patients with gastric cancer (GC). Blood-based biomarker assays for the detection of early-stage GC could be of great relevance both for population-wide or risk groupbased screening programs, while circulating biomarkers that reflect the genetic make-up and dynamics of the tumor would allow monitoring of treatment efficacy, predict recurrences and assess the genetic heterogeneity of the tumor. Recent research to identify blood-based biomarkers of GC has resulted in the identification of a wide variety of cancer-associated molecules, including various proteins, autoantibodies against tumor associated antigens, cell-free DNA fragments, mRNAs and various non-coding RNAs, circulating tumor cells and cancer-derived extracellular vesicles. Each type of these biomarkers provides different information on the disease status, has different advantages and disadvantages, and distinct clinical usefulness. In the current review, we summarize the recent developments in blood-based GC biomarker discovery, discuss the origin of various types of biomarkers and their clinical usefulness and the technological challenges in the development of biomarker assays for clinical use.

Original languageEnglish
Pages (from-to)11636-11653
Number of pages18
JournalWorld Journal of Gastroenterology
Volume21
Issue number41
DOIs
Publication statusPublished - 7 Nov 2015
Externally publishedYes

Keywords*

  • Autoantibodies
  • Biomarker
  • Cell-free DNA
  • Cell-free RNA
  • Extracellular vesicles
  • Gastric cancer
  • Liquid biopsy
  • Proteomics

Field of Science*

  • 3.1 Basic medicine
  • 3.2 Clinical medicine

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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