Open AccessCoupling Lipid Labeling and Click Chemistry Enables Isolation of Extracellular Vesicles for Noninvasive Detection of Oncogenic Gene Alterations
Author(s) -
Sun Na,
Tran Benjamin V.,
Peng Zishan,
Wang Jing,
Zhang Ceng,
Yang Peng,
Zhang Tiffany X.,
Widjaja Josephine,
Zhang Ryan Y.,
Xia Wenxi,
Keir Alexandra,
She JiaWei,
Yu Hsiaohua,
Shyue JingJong,
Zhu Hongguang,
Agopian Vatche G.,
Pei Renjun,
Tomlinson James S.,
Toretsky Jeffrey A,
Jonas Steven J.,
Federman Noah,
Lu Shaohua,
Tseng HsianRong,
Zhu Yazhen
Publication year - 2022
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202105853
Subject(s) - sarcoma , gene , digital polymerase chain reaction , chemistry , kras , click chemistry , reverse transcription polymerase chain reaction , oncogene , cancer research , extracellular , microbiology and biotechnology , biology , polymerase chain reaction , messenger rna , biochemistry , mutation , pathology , medicine , cell cycle , combinatorial chemistry
Well‐preserved molecular cargo in circulating extracellular vesicles (EVs) offers an ideal material for detecting oncogenic gene alterations in cancer patients, providing a noninvasive diagnostic solution for detection of disease status and monitoring treatment response. Therefore, technologies that conveniently isolate EVs with sufficient efficiency are desperately needed. Here, a lipid labeling and click chemistry‐based EV capture platform (“Click Beads”), which is ideal for EV message ribonucleic acid (mRNA) assays due to its efficient, convenient, and rapid purification of EVs, enabling downstream molecular quantification using reverse transcription digital polymerase chain reaction (RT‐dPCR) is described and demonstrated. Ewing sarcoma protein (EWS) gene rearrangements and kirsten rat sarcoma viral oncogene homolog (KRAS) gene mutation status are detected and quantified using EVs isolated by Click Beads and matched with those identified in biopsy specimens from Ewing sarcoma or pancreatic cancer patients. Moreover, the quantification of gene alterations can be used for monitoring treatment responses and disease progression.