Recent advances of liquid biopsy: Interdisciplinary strategies toward clinical decision‐making

Author:

Bao Han123,Min Li4,Bu Fanqin4,Wang Shutao12ORCID,Meng Jingxin1235ORCID

Affiliation:

1. CAS Key Laboratory of Bio‐inspired Materials and Interfacial Science Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing China

2. University of Chinese Academy of Sciences (UCAS) Beijing China

3. Qingdao Casfuture Research Institute Co. Ltd. Qingdao China

4. Department of Gastroenterology Beijing Friendship Hospital Capital Medical University National Clinical Research Center for Digestive Disease Beijing Digestive Disease Center Beijing Key Laboratory for Precancerous Lesion of Digestive Disease Beijing China

5. Binzhou Institute of Technology Weiqiao‐UCAS Science and Technology Park Binzhou Shandong China

Abstract

AbstractLiquid biopsy has emerged as a promising avenue for non‐invasive and rapid retrieval of pathological information from patient body fluids. Over the years, liquid biopsy has garnered significant attention for clinically treating cancer by selecting appropriate biomarkers such as circulating tumor cells (CTCs) and extracellular vesicles (EVs). Further integration of advanced technologies has facilitated the efficient capture of biomarkers for liquid biopsy, revolutionizing clinical decision‐making in the multiple processes and stages of cancer patients. Underscoring the intersection of different disciplines, this review provides a holistic summary of recent breakthroughs specifically designed for the capture and application of distinctive biomarkers to blend real‐world clinical decision‐making with material science. Firstly, we focus on the main principles of liquid biopsy and recent technologies that facilitate the capture and release of biomarkers (e.g., CTCs and EVs), leveraging their physicochemical properties. Then, the clinical applications of biomarkers are summarized, highlighting their potential for providing comprehensive clinical information. Later, the incorporation of machine learning is also emphasized for enhancing clinical applications and enabling deeper insights in the design of next‐generation platforms for specific biomarker isolation. Finally, future opportunities for clinical decision‐making are explored by combining advanced nanotechnologies and artificial intelligence, thereby offering inconceivable possibilities for improving patient care.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Wiley

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