Identification of CD147-positive extracellular vesicles as novel non-invasive biomarkers for the diagnosis and prognosis of colorectal cancer.


Journal

Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422

Informations de publication

Date de publication:
01 Aug 2023
Historique:
received: 28 10 2022
revised: 04 08 2023
accepted: 06 08 2023
medline: 11 9 2023
pubmed: 11 8 2023
entrez: 10 8 2023
Statut: ppublish

Résumé

The mortality rate of colorectal cancer (CRC) can be decreased with effective screening and early diagnosis. Exosomes are released from cancer cells into the bloodstream, and circulating exosomes may serve as novel biomarkers. This study aimed to identify a sensitive and rapid method of exosome collection and measurement using specific antibodies. ExoCounter, a high-sensitive exosome-counting system, allows the identification of exosomes without enrichment or purification, based on the identification of the transmembrane protein-CD147-on serum exosomes that are associated with CRC. Receiver operating characteristic curves between healthy donors and CRC patients were described and assessed by CD147-specific exosomes (exo-CD147), CEA, and CA19-9. And area under curves for exo-CD147, CEA, and CA19-9 were 0.827 (95%CI: 0.764-0.891), 0.630 (95%CI: 0.536-0.724), and 0.659 (95%CI: 0.559-0.759), respectively. Drawing a clinical decision curve of exo-CD147 for the diagnosis of CRC metastases showed that when the threshold probability of exo-CD147 was between 20% and 92%, the net clinical utilization rate was higher than for all patients with or without metastases. A nomogram was constructed using multivariate COX regression analysis to select significant variables such as the high CD147 group (>34 × 10 The increased CD147 expression in exosomes could serve as a diagnostic and prognostic biomarker for CRC.

Sections du résumé

BACKGROUND BACKGROUND
The mortality rate of colorectal cancer (CRC) can be decreased with effective screening and early diagnosis. Exosomes are released from cancer cells into the bloodstream, and circulating exosomes may serve as novel biomarkers. This study aimed to identify a sensitive and rapid method of exosome collection and measurement using specific antibodies.
METHODS METHODS
ExoCounter, a high-sensitive exosome-counting system, allows the identification of exosomes without enrichment or purification, based on the identification of the transmembrane protein-CD147-on serum exosomes that are associated with CRC.
RESULTS RESULTS
Receiver operating characteristic curves between healthy donors and CRC patients were described and assessed by CD147-specific exosomes (exo-CD147), CEA, and CA19-9. And area under curves for exo-CD147, CEA, and CA19-9 were 0.827 (95%CI: 0.764-0.891), 0.630 (95%CI: 0.536-0.724), and 0.659 (95%CI: 0.559-0.759), respectively. Drawing a clinical decision curve of exo-CD147 for the diagnosis of CRC metastases showed that when the threshold probability of exo-CD147 was between 20% and 92%, the net clinical utilization rate was higher than for all patients with or without metastases. A nomogram was constructed using multivariate COX regression analysis to select significant variables such as the high CD147 group (>34 × 10
CONCLUSIONS CONCLUSIONS
The increased CD147 expression in exosomes could serve as a diagnostic and prognostic biomarker for CRC.

Identifiants

pubmed: 37562522
pii: S0009-8981(23)00312-1
doi: 10.1016/j.cca.2023.117510
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
CA-19-9 Antigen 0
BSG protein, human 0
Basigin 136894-56-9

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

117510

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Chenzheng Gu (C)

Department of Laboratory Medicine, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, PR China.

Anquan Shang (A)

Department of Laboratory Medicine, The Second People's Hospital of Lianyungang & The Oncology Hospital of Lianyungang, Lianyungang, 222006, China.

Gege Liu (G)

Department of Laboratory Medicine, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, PR China.

Jichao Zhu (J)

Department of Laboratory Medicine, Huzhou Central Hospital, Huzhou, 313099, PR China.

Wei Zhang (W)

Department of Laboratory Medicine, Jiaozuo Fifth People's Hospital, Jiaozuo, 454000, PR China.

Limin Jin (L)

Laboratory Department, Jiaxing Hospital of Traditional Chinese Medicine, Jiaxing, 314001, PR China. Electronic address: jinliminjx@163.com.

Zujun Sun (Z)

Department of Laboratory Medicine, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, PR China. Electronic address: sunzujun@tongji.edu.cn.

Dong Li (D)

Department of Laboratory Medicine, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, PR China. Electronic address: lidong@tongji.edu.cn.

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Classifications MeSH