HCC EV ECG score: An extracellular vesicle-based protein assay for detection of early-stage hepatocellular carcinoma.
Journal
Hepatology (Baltimore, Md.)
ISSN: 1527-3350
Titre abrégé: Hepatology
Pays: United States
ID NLM: 8302946
Informations de publication
Date de publication:
01 03 2023
01 03 2023
Historique:
received:
14
03
2022
accepted:
18
07
2022
pubmed:
1
8
2022
medline:
22
2
2023
entrez:
31
7
2022
Statut:
ppublish
Résumé
The sensitivity of current surveillance methods for detecting early-stage hepatocellular carcinoma (HCC) is suboptimal. Extracellular vesicles (EVs) are promising circulating biomarkers for early cancer detection. In this study, we aim to develop an HCC EV-based surface protein assay for early detection of HCC. Tissue microarray was used to evaluate four potential HCC-associated protein markers. An HCC EV surface protein assay, composed of covalent chemistry-mediated HCC EV purification and real-time immuno-polymerase chain reaction readouts, was developed and optimized for quantifying subpopulations of EVs. An HCC EV ECG score, calculated from the readouts of three HCC EV subpopulations ( E pCAM + CD63 + , C D147 + CD63 + , and G PC3 + CD63 + HCC EVs), was established for detecting early-stage HCC. A phase 2 biomarker study was conducted to evaluate the performance of ECG score in a training cohort ( n = 106) and an independent validation cohort ( n = 72).Overall, 99.7% of tissue microarray stained positive for at least one of the four HCC-associated protein markers (EpCAM, CD147, GPC3, and ASGPR1) that were subsequently validated in HCC EVs. In the training cohort, HCC EV ECG score demonstrated an area under the receiver operating curve (AUROC) of 0.95 (95% confidence interval [CI], 0.90-0.99) for distinguishing early-stage HCC from cirrhosis with a sensitivity of 91% and a specificity of 90%. The AUROCs of the HCC EV ECG score remained excellent in the validation cohort (0.93; 95% CI, 0.87-0.99) and in the subgroups by etiology (viral: 0.95; 95% CI, 0.90-1.00; nonviral: 0.94; 95% CI, 0.88-0.99). HCC EV ECG score demonstrated great potential for detecting early-stage HCC. It could augment current surveillance methods and improve patients' outcomes.
Sections du résumé
BACKGROUND AND AIMS
The sensitivity of current surveillance methods for detecting early-stage hepatocellular carcinoma (HCC) is suboptimal. Extracellular vesicles (EVs) are promising circulating biomarkers for early cancer detection. In this study, we aim to develop an HCC EV-based surface protein assay for early detection of HCC.
APPROACH AND RESULTS
Tissue microarray was used to evaluate four potential HCC-associated protein markers. An HCC EV surface protein assay, composed of covalent chemistry-mediated HCC EV purification and real-time immuno-polymerase chain reaction readouts, was developed and optimized for quantifying subpopulations of EVs. An HCC EV ECG score, calculated from the readouts of three HCC EV subpopulations ( E pCAM + CD63 + , C D147 + CD63 + , and G PC3 + CD63 + HCC EVs), was established for detecting early-stage HCC. A phase 2 biomarker study was conducted to evaluate the performance of ECG score in a training cohort ( n = 106) and an independent validation cohort ( n = 72).Overall, 99.7% of tissue microarray stained positive for at least one of the four HCC-associated protein markers (EpCAM, CD147, GPC3, and ASGPR1) that were subsequently validated in HCC EVs. In the training cohort, HCC EV ECG score demonstrated an area under the receiver operating curve (AUROC) of 0.95 (95% confidence interval [CI], 0.90-0.99) for distinguishing early-stage HCC from cirrhosis with a sensitivity of 91% and a specificity of 90%. The AUROCs of the HCC EV ECG score remained excellent in the validation cohort (0.93; 95% CI, 0.87-0.99) and in the subgroups by etiology (viral: 0.95; 95% CI, 0.90-1.00; nonviral: 0.94; 95% CI, 0.88-0.99).
CONCLUSION
HCC EV ECG score demonstrated great potential for detecting early-stage HCC. It could augment current surveillance methods and improve patients' outcomes.
Identifiants
pubmed: 35908246
pii: 01515467-202303000-00009
doi: 10.1002/hep.32692
pmc: PMC9887095
mid: NIHMS1845682
doi:
Substances chimiques
Biomarkers, Tumor
0
Membrane Proteins
0
GPC3 protein, human
0
Glypicans
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
774-788Subventions
Organisme : NCI NIH HHS
ID : R01 CA218356
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA235340
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA255727
Pays : United States
Organisme : NCI NIH HHS
ID : P01 CA233452
Pays : United States
Organisme : NIBIB NIH HHS
ID : U01 EB026421
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA230705
Pays : United States
Organisme : NCI NIH HHS
ID : U54 CA143930
Pays : United States
Organisme : NCI NIH HHS
ID : U54 CA143931
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA198900
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA253651
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA246304
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA240887
Pays : United States
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2023 American Association for the Study of Liver Diseases.
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