Simultaneous Detection of Tumor Derived Exosomal Protein–MicroRNA Pairs with an Exo-PROS Biosensor for Cancer Diagnosis

Chang-Chieh Hsu, Yunchen Yang, Eric Kannisto, Xie Zeng, Guan Yu, Santosh K. Patnaik, Grace K. Dy, Mary E. Reid, Qiaoqiang Gan, Yun Wu

Research output: Contribution to journalArticlepeer-review


Tumor derived exosomes (TEXs) have emerged as promising biomarkers for cancer liquid biopsy. Conventional methods (such as ELISA and qRT-PCR) and emerging biosensing technologies mainly detect a single type of exosomal biomarker due to the distinct properties of different biomolecules. Sensitive detection of two different types of TEX biomarkers, i.e., protein and microRNA combined biomarkers, may greatly improve cancer diagnostic accuracy. We developed an exosome protein microRNA one-stop (Exo-PROS) biosensor that not only selectively captured TEXs but also enabled in situ, simultaneous detection of TEX protein–microRNA pairs via a surface plasmon resonance mechanism. Exo-PROS assay is a fast, reliable, low sample consumption, and user-friendly test. With a total of 175 cancer patients and normal controls, we demonstrated that TEX protein–microRNA pairs measured by Exo-PROS assay detected lung cancer and breast cancer with 99% and 96% accuracy, respectively. Exo-PROS assay also showed superior diagnostic performance to conventional ELISA and qRT-PCR methods. Our results demonstrated that Exo-PROS assay is a potent liquid biopsy assay for cancer diagnosis.
Original languageEnglish (US)
JournalACS Nano
StatePublished - Apr 27 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-05-02
Acknowledgements: The authors acknowledge funding support from National Cancer Institute (NCI) of the National Institutes of Health (NIH) under award numbers R21CA235305 (YW and QG), R33CA191245 (YW), and R01CA272827 (YW). Deidentified human serum samples and clinical data were provided by the Data Bank and BioRepository (DBBR), which is funded by NCI under award number P30CA16056 and is a Roswell Park Cancer Institute Cancer Center Support Grant shared resource. The authors thank the support from National Science Foundation under award number CBET-1337860, which funds the nanoparticle tracking analysis system (NanoSight, LM10, Malvern Instruments Ltd.). The content is solely the responsibility of the authors and does not necessarily represent the official views of NIH and NSF. The authors thank Dr. Min Gao and the TEM facility at the Advanced Materials and Liquid Crystal Institute at Kent State University for the cryo-TEM characterization of exosomes.

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Materials Science(all)
  • Engineering(all)


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