4.8 Article

Highly Sensitive Exosome Detection for Early Diagnosis of Pancreatic Cancer Using Immunoassay Based on Hierarchical Surface-Enhanced Raman Scattering Substrate

期刊

SMALL METHODS
卷 6, 期 6, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/smtd.202200154

关键词

diagnoses; exosomes; H-SERS substrates; immunoassays; pancreatic cancer; SERS

资金

  1. National Natural Science Foundation of China [82130067, 82002228]
  2. Key Research and Development Program of Shandong Province [2019GHZ003, 2020CXGC011304]
  3. Taishan Scholars Climbing Program of Shandong Province [tspd20210323]
  4. Young Taishan Scholars Program of Shandong Province [tsqn201909176]
  5. Qilu Young Scholars Program of Shandong University
  6. Shandong Provincial Natural Science Foundation [ZR2020QH280]
  7. Shandong Collaborative Innovation Center for RAMP
  8. D and Transformation of New Tumor Biomarkers Foundation [CXZX2019006]
  9. Tumor Biomarker Innovation Team Foundation of Jinan City [2019GXRC004]

向作者/读者索取更多资源

In this study, a highly sensitive detection system was developed for the direct quantitation of specific exosomes in pancreatic cancer. The detection system showed improved diagnostic efficiency for pancreatic cancer and potential for early diagnosis.
Exosomes have emerged as potential biomarkers for pancreatic cancer (PaC). However, it is still challenging to get quantitative detection of exosomes with the specific surface receptors. In this study, a highly sensitive detection system is first constructed for the direct quantitation of specific exosomes in real samples using hierarchical surface-enhanced Raman scattering substrate (H-SERS substrate) and rapid enrichment strategy magnetic beads @ exosomes @ SERS detection probes (MEDP). It is found that the detection system (MEDP @ H-SERS substrate) could provide a 3.5 times higher SERS intensity compared with MEDP sandwich immunocomplex only. Moreover, LRG1-positive exosomes (LRG1-Exos) and GPC1-positive exosomes (GPC1-Exos) are chosen to distinguish PaC through exosome proteomics and database screening. The lower limit of detection (LOD) is 15 particles mu L-1 using the MEDP @ H-SERS substrate. Significantly, the detection in clinical samples shows that the innovative combination of LRG1-Exos and GPC1-Exos could improve the diagnostic efficiency of PaC, with an area under the operating characteristic curve (AUC) of 0.95. Even for the early-stage PaC, the diagnostic accuracy is still high (AUC = 0.95). Collectively, the findings indicate that the MEDP @ H-SERS substrate has great potential for the early diagnosis of PaC.

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