Plasma extracellular vesicle phenotyping for the differentiation of early-stage lung cancer and benign lung diseases

Author:

Yuan Liwen1,Chen Yanpin2,Ke Longfeng3,Zhou Quan4ORCID,Chen Jiayou5,Fan Min1,Wuethrich Alain4ORCID,Trau Matt46ORCID,Wang Jing1ORCID

Affiliation:

1. Key Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou 350117, China

2. Department of Pathology, Clinical Oncology School of Fujian Medical University, and Fujian Cancer Hospital, Fuzhou, Fujian 350014, China

3. Laboratory of Molecular Pathology, Clinical Oncology School of Fujian Medical University and Fujian Cancer Hospital, Fuzhou, Fujian 350014, China

4. Centre for Personalized Nanomedicine, Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Brisbane, QLD 4072, Australia

5. Department of Radiology, Clinical Oncology School of Fujian Medical University and Fujian Cancer Hospital, Fuzhou, Fujian 350014, China

6. School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia

Abstract

A nanostrategy that combines bright core–shell probes, a nanomixing chip, and machine learning was proposed to evaluate the clinical performance of plasma EV phenotypes in differentiating early-stage lung cancer and benign lung diseases.

Funder

Cure Cancer Australia Foundation

Australian Research Council

National Health and Medical Research Council

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

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