Recent advances in blood-based and artificial intelligence-enhanced approaches for gastrointestinal cancer diagnosis


Posted: 2021-10-11 19:00:00
Review World J Gastroenterol . 2021 Sep 14;27(34):5666-5681. doi: 10.3748/wjg.v27.i34.5666. Affiliations Expand Affiliations 1 School of Chemical Biology and Biotechnology, Shenzhen Graduate School, Peking University, Shenzhen 518055, Guangdong Province, China. 2 Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, Guangdong Province, China. Item in Clipboard Review Li-Shi Li et al. World J Gastroenterol. 2021. Show details Display options Display options Format World J Gastroenterol . 2021 Sep 14;27(34):5666-5681. doi: 10.3748/wjg.v27.i34.5666. Affiliations 1 School of Chemical Biology and Biotechnology, Shenzhen Graduate School, Peking University, Shenzhen 518055, Guangdong Province, China. 2 Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, Guangdong Province, China. Item in Clipboard CiteDisplay options Display options Format Abstract Gastrointestinal (GI) cancers are among the most common cancer types and leading causes of cancer-related deaths worldwide. There is a tremendous clinical need for effective early diagnosis for better healthcare of GI cancer patients. In this article, we provide a short overview of the recent advances in GI cancer diagnosis. In the first part, we discuss the applications of blood-based biomarkers, such as plasma circulating cell-free DNA, circulating tumor cells, extracellular vesicles, and circulating cell-free RNA, for cancer liquid biopsies. In the second part, we review the current trends of artificial intelligence (AI) for pathology image and tissue biopsy analysis for GI cancer, as well as deep learning-based approaches for purity assessment of tissue biopsies. We further provide our opinions on the future directions in blood-based and AI-enhanced approaches for GI cancer diagnosis, and we think that these fields will have more intensive integrations with clinical needs in the near future. Keywords: Artificial intelligence; Circulating tumor cell; Exosome; Extracellular vesicle; Liquid biopsy; Plasma cell-free DNA. ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. Conflict of interest statement Conflict-of-interest statement: There is no conflict of interest associated with any of the senior author or other coauthors who contributed their efforts in this manuscript. Publication types [x] Cite Copy Format: Send To [x]

参考サイト PubMed: exsome


Powered by Kreditvergleich


バイオクイックニュース日本語版:エクソソーム特集

バイオクイックニュース日本語版
6月 26, 2020 バイオアソシエイツ

自然界に存在するエクソソームは、人工ナノ粒子よりも多くの利点を提供している

2020年6月17日にNature Outlookでオンラインで公開された記事で、 イェール大学医学部のリウマチ学および臨床免疫学およびイェール大学医学部の元アレルギーおよび臨床免疫学のチーフであるPhilip Askenase教授(写真)は、「エクソソームはセンセーショナルな生物学的発見である」と述べている。膜に囲まれた小さな細胞内小胞は、研究されてきたすべての動物種のすべての細胞によって生産・分泌され、植物や細菌によっても放出される。…

ゲスト 843人 と メンバー 5人 がオンラインです