HCC EV ECG score: An extracellular vesicle‐based protein assay for detection of early‐stage hepatocellular carcinoma. Issue 3 (17th March 2023)
- Record Type:
- Journal Article
- Title:
- HCC EV ECG score: An extracellular vesicle‐based protein assay for detection of early‐stage hepatocellular carcinoma. Issue 3 (17th March 2023)
- Main Title:
- HCC EV ECG score: An extracellular vesicle‐based protein assay for detection of early‐stage hepatocellular carcinoma
- Authors:
- Sun, Na
Zhang, Ceng
Lee, Yi‐Te
Tran, Benjamin V.
Wang, Jing
Kim, Hyoyong
Lee, Junseok
Zhang, Ryan Y.
Wang, Jasmine J.
Hu, Junhui
Zhang, Zhicheng
Alsudaney, Manaf S.
Hou, Kuan‐Chu
Tang, Hubert
Zhang, Tiffany X.
Liang, Icy Y.
Zhou, Ziang
Chen, Mengxiang
Yeh, Angela Hsiao‐Jiun
Li, Wenyuan
Zhou, Xianghong Jasmine
Chang, Helena R.
Han, Steven‐Huy B.
Sadeghi, Saeed
Finn, Richard S.
Saab, Sammy
Busuttil, Ronald W.
Noureddin, Mazen
Ayoub, Walid S.
Kuo, Alexander
Sundaram, Vinay
Al‐Ghaieb, Buraq
Palomique, Juvelyn
Kosari, Kambiz
Kim, Irene K.
Todo, Tsuyoshi
Nissen, Nicholas N.
Tomasi, Maria Lauda
You, Sungyong
Posadas, Edwin M.
Wu, James X.
Wadehra, Madhuri
Sim, Myung‐Shin
Li, Yunfeng
Wang, Hanlin L.
French, Samuel W.
Lu, Shelly C.
Wu, Lily
Pei, Renjun
Liang, Li
Yang, Ju Dong
Agopian, Vatche G.
Tseng, Hsian‐Rong
Zhu, Yazhen
… (more) - Abstract:
- Abstract : 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 EVAbstract : 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. Abstract : … (more)
- Is Part Of:
- Hepatology. Volume 77:Issue 3(2023)
- Journal:
- Hepatology
- Issue:
- Volume 77:Issue 3(2023)
- Issue Display:
- Volume 77, Issue 3 (2023)
- Year:
- 2023
- Volume:
- 77
- Issue:
- 3
- Issue Sort Value:
- 2023-0077-0003-0000
- Page Start:
- 774
- Page End:
- 788
- Publication Date:
- 2023-03-17
- Subjects:
- Heart -- Diseases -- Nursing -- Periodicals
Lungs -- Diseases -- Nursing -- Periodicals
Intensive care nursing -- Periodicals
Foie -- Maladies -- Périodiques
616.362 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1527-3350 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/hep.32692 ↗
- Languages:
- English
- ISSNs:
- 0270-9139
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4295.836000
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- 26461.xml