Evidence map›Paper›PMID 34203086›Full record

ReviewCancers2021

The Role of Extracellular Vesicles in Disease Progression and Detection of Hepatocellular Carcinoma.

Yi-Te Lee, Benjamin V Tran, Jasmine J Wang, Icy Y Liang, Sungyong You, Yazhen Zhu, Vatche G Agopian, Hsian-Rong Tseng, Ju Dong Yang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. B7-H3-liquid biopsy for the characterization and monitoring of the dynamic biology of prostate cancer.Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yi-Te LeeCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, University of California, Los Angeles, CA 90095, USA.
Benjamin V TranDepartment of Surgery, University of California, Los Angeles, CA 90095, USA.
Jasmine J WangDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-5089-1345
Icy Y LiangCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, University of California, Los Angeles, CA 90095, USA.
Sungyong YouSamuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0003-3513-1783
Yazhen ZhuCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, University of California, Los Angeles, CA 90095, USA.
Vatche G AgopianDepartment of Surgery, University of California, Los Angeles, CA 90095, USA.
Hsian-Rong TsengCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, University of California, Los Angeles, CA 90095, USA.
Ju Dong YangSamuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

Funding

HCC EV Digital Scoring Assay for assessing treatment response in HCC patientsR01CA253651 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TSENG, HSIAN-RONG, ZHU, YAZHEN · 2020 to 2024
$3.3M
Extracellular Vesicle-Based Digital Scoring Assay for Detecting Early-stage Hepatocellular CarcinomaR01CA255727 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZHU, YAZHEN · 2021 to 2025
$3.2M
Integrated analysis of HCC CTCs for Liver Transplant Candidate SelectionR01CA246304 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AGOPIAN, VATCHE, TSENG, HSIAN-RONG · 2020 to 2024
$2.8M
Click Chemistry-Mediated Microfluidic Sorting for HCC CTCsR21CA235340 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AGOPIAN, VATCHE, TSENG, HSIAN-RONG · 2019 to 2021
$543k
Biomimetic NanoVilli Chips for Extracellular Vesicles in Hepatocellular CarcinomaR21CA240887 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AGOPIAN, VATCHE, TSENG, HSIAN-RONG · 2020 to 2021
$419k
American College of Gastroenterology Junior Faculty Development AwardCedars-Sinai Medical Center Clinical Scholar awardHuiying Foundation NilNCI NIH HHS R01 CA246304NCI NIH HHS R01 CA253651NCI NIH HHS R01 CA255727NCI NIH HHS R21 CA235340NCI NIH HHS R21 CA240887NIH HHS R01CA246304NIH HHS R01CA253651NIH HHS R01CA255727NIH HHS R21CA235340NIH HHS R21CA240887U.S. Department of Defense CA191051
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common primary liver malignancy and one of the leading causes of cancer-related death worldwide. Despite the improvements in surveillance and treatment, the prognosis of HCC remains poor. Extracellular vesicles (EVs) are a heterogeneous group of phospholipid bilayer-enclosed particles circulating in the bloodstream and mediating intercellular communication. Emerging studies have shown that EVs play a crucial role in regulating the proliferation, immune escape, and metastasis of HCC. In addition, because EVs are present in the circulation at relatively early stages of disease, they are getting attention as an attractive biomarker for HCC detection. Over the past decade, dedicated efforts have been made to isolate EVs more efficiently and make them useful tools in different clinical settings. In this review article, we provide an overview of the EVs isolation methods and highlight the role of EVs as mediators in the pathogenesis and progression of HCC. Lastly, we summarize the potential applications of EVs in early-stage HCC detection.

Indexed as

biomarkercancer detectiondisease progressionextracellular vesicleshepatocellular carcinomaliquid biopsy

Identifiers

PMID34203086
PMCPMC8233859

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.