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Gastric Cancer Diagnosis: From Imaging Techniques to Biochemical Biomarkers Publisher Pubmed



Tavakoli F1 ; Khatami SS2 ; Momeni F3 ; Azadbakht J4 ; Ghasemi F5
Authors
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Authors Affiliations
  1. 1. Department of Medical Biotechnology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
  2. 2. Department of Medical Biotechnology, Faculty of Medicine, Arak University of Medical Sciences, Arak, Iran
  3. 3. Isfahan Research Committee of Multiple Sclerosis, Alzahra Research Institute, Alzahra hospital, Isfahan University of Medical Sciences, Isfahan, Iran
  4. 4. Department of Radiology and Imaging, Kashan University of Medical Science, Kashan, Iran
  5. 5. Blood Transfusion Research Center, High Institute for Research and Education in Transfusion Medicine, Tehran, Iran

Source: Current Molecular Medicine Published:2021


Abstract

Gastric cancer (GC) has been found to be the second leading cause of cancer-associated deaths in the world, and is usually detected in the advanced stages. It has been shown that surgery is the major therapeutic approach in the treatment of subjects with GC. Hence, early and fast diagnosis of this malignancy is very important for good subject outcomes. Non-invasive diagnostic platforms, including evolutionary endoscopy and positron emission tomography (PET), are employed for the diagnosis of subjects with GC. Along with imaging techniques, the utilization of biomarkers has emerged as a new diagnosis option for early and fast detection of GC. Multiple lines of evidence have revealed a variety of biomarkers, including microRNAs, exosomes, circulating tumor cells, circular RNAs, cell free DNAs, and various proteins, which could be used as diagnostic biomarkers in patients with GC. Taken together, these findings suggest that the joint application of imaging techniques and different biomarkers could be introduced as a new detection approach in the treatment and screening response to therapy in the subjects with GC. Herein, we have summarized various imaging techniques and biomarkers as powerful tools in the detection of GC. © 2021 Bentham Science Publishers.
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