Research Report
The Application and Challenges of Emerging Technologies in Early Diagnosis and Screening of Gastric Cancer: From Molecular Markers to Imaging Advances
Author Correspondence author
Cancer Genetics and Epigenetics, 2024, Vol. 12, No. 1 doi: 10.5376/cge.2024.14.0005
Received: 13 Dec., 2023 Accepted: 15 Jan., 2024 Published: 01 Feb., 2024
Wang W., 2024, The application and challenges of emerging technologies in early diagnosis and screening of gastric cancer: from molecular markers to imaging advances, Cancer Genetics and Epigenetics, 12(1): 37-46 (doi: 10.5376/cge.2024.12.0005)
This study comprehensively elucidates the application and challenges of emerging technologies in the early diagnosis and screening of gastric cancer, focusing on the latest developments from molecular biomarkers to imaging techniques. It aims to provide a comprehensive perspective for researchers in the field of early gastric cancer diagnosis, aiding in understanding and evaluating the application and challenges of these technologies. The study systematically introduces the importance of early diagnosis of gastric cancer and the limitations of traditional diagnostic methods. It delves into the application of molecular biomarkers in early gastric cancer diagnosis, including the latest discovered biomarkers and their current clinical applications. Furthermore, the study analyzes the application of genomics and proteomics technologies and their potential in diagnosing gastric cancer. Additionally, it emphasizes the role of the latest imaging technologies such as PET/CT and MRI in gastric cancer screening. The study acknowledges that despite the immense potential of these emerging technologies, they still face multiple challenges in specificity and sensitivity, cost and accessibility, complexity in data processing, and the need for clinical validation and standardization. Finally, the authors propose future research directions, including improving the specificity and sensitivity of biomarkers, reducing the cost of technologies, enhancing the application of artificial intelligence in data processing, and strengthening clinical trials and standardization of emerging technologies.
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