Evidence map›Paper›PMID 36711067›Full record

ArticleNano today2023

Prostate cancer extracellular vesicle digital scoring assay - a rapid noninvasive approach for quantification of disease-relevant mRNAs.

Jasmine J Wang, Na Sun, Yi-Te Lee, Minhyung Kim, Tatyana Vagner, Krizia Rohena-Rivera, Zhili Wang, Zijing Chen, Ryan Y Zhang, Junseok Lee and 20 more

Open access · hybridAbstract read
In one paragraph

Article in Nano today, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  14. 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

30 authors at 5 institutions in 2 countries.

Jasmine J WangDivision of Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Na SunCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Yi-Te LeeCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Minhyung KimDepartment of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Tatyana VagnerDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Krizia Rohena-RiveraDepartment of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Zhili WangKey Laboratory for Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Suzhou, PR China.
Zijing ChenDivision of Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Ryan Y ZhangCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Junseok LeeCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Ceng ZhangCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Hubert TangCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Josephine WidjajaCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Tiffany X ZhangCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Dongping QiCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Pai-Chi TengCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Yu Jen JanCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Kuan-Chu HouCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Candace HamannDivision of Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Howard M SandlerCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Timothy J DaskivichCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Daniel J LuthringerCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Neil A BhowmickCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Renjun PeiKey Laboratory for Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Suzhou, PR China.
Sungyong YouCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Dolores Di VizioCedars-Sinai Cancer, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Hsian-Rong TsengCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Jie-Fu ChenDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Yazhen ZhuCalifornia NanoSystems Institute, Crump Institute for Molecular Imaging, Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Edwin M PosadasDivision of Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Cedars-Sinai Medical Center · USUniversity of California, Los Angeles · USCalifornia NanoSystems Institute · USSuzhou Institute of Nano-tech and Nano-bionics · CNUniversity of Chinese Academy of Sciences · CN

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
The paradoxical roles of beta hydroxy butyrate in the liver pro-metastatic nicheP01CA233452 · NCI · CEDARS-SINAI MEDICAL CENTER · PI BHOWMICK, NEIL A., LU, SHELLY CHI-LOO · 2020 to 2024
$9.5M
Non-Invasive Prenatal Diagnostics Based on Circulating TrophoblastsU01EB026421 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PISARSKA, MARGARETA, TSENG, HSIAN-RONG · 2019 to 2023
$4.0M
HCC EV Digital Scoring Assay for assessing treatment response in HCC patientsR01CA253651 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AGOPIAN, VATCHE, TSENG, HSIAN-RONG · 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
A blood test to identify prostate cancer patients at risk for visceral metastasisR01CA218356 · NCI · CEDARS-SINAI MEDICAL CENTER · PI POSADAS, EDWIN MELENCIO, TSENG, HSIAN-RONG · 2017 to 2021
$3.0M
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
Thermoresponsive NanoVelcro CTC Purification System for Prostate Cancer ProfilingU01CA198900 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI POSADAS, EDWIN MELENCIO, TSENG, HSIAN-RONG · 2015 to 2019
$2.4M
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
NCI NIH HHS P01 CA233452NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016042NCI NIH HHS R01 CA218356NCI NIH HHS R01 CA246304NCI NIH HHS R01 CA253651NCI NIH HHS R01 CA255727NCI NIH HHS R21 CA235340NCI NIH HHS R21 CA240887NCI NIH HHS U01 CA198900NIBIB NIH HHS U01 EB026421
6 · The paper itself

Abstract

Optimizing outcomes in prostate cancer (PCa) requires precision in characterization of disease status. This effort was directed at developing a PCa extracellular vesicle (EV) Digital Scoring Assay (DSA) for detecting metastasis and monitoring progression of PCa. PCa EV DSA is comprised of an EV purification device (i.e., EV Click Chip) and reverse-transcription droplet digital PCR that quantifies 11 PCa-relevant mRNA in purified PCa-derived EVs. A Met score was computed for each plasma sample based on the expression of the 11-gene panel using the weighted Z score method. Under optimized conditions, the EV Click Chips outperformed the ultracentrifugation or precipitation method of purifying PCa-derived EVs from artificial plasma samples. Using PCa EV DSA, the Met score distinguished metastatic (

Indexed as

Extracellular vesicleLiquid biopsyMetastatic biomarkerNanotechnologyProstate cancer

Identifiers

PMID36711067
PMCPMC9879227
OpenAlexW4313530504

What OpenQuestion holds

Textmetadata
LicenceTDM
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.