Evidence map›Paper›PMID 36213956›Full record

ReviewClinical chemistry2022

Urinary Cell-Free DNA in Liquid Biopsy and Cancer Management.

Blake Salfer, Feng Li, David T W Wong, Liying Zhang

Open access · greenAbstract readReview
In one paragraph

Review in Clinical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.3field-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

21 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
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  10. Review
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  12. Circulating-free DNA: A promising tool for early detection of myocardial infarction.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Review
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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

4 authors at 1 institution in 1 country.

Blake SalferDepartment of Pathology and Laboratory Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA.
Feng LiSchool of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA.
David T W WongSchool of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA.
Liying ZhangDepartment of Pathology and Laboratory Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA.ORCID 0000-0003-4517-0751
University of California, Los Angeles · US

Funding

UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Yvonne Yu-Hsuan Chen · 2017 to 2026
$25.2M
EFIRM Liquid Biopsy Research Laboratory: Early Lung Cancer AssessmentU01CA233370 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ABERLE, DENISE R., HSU, WILLIAM · 2018 to 2025
$8.0M
Acoustofluidic Separation (AFS), Purification and Raman Spectral Fingerprinting of Single EVs: From Cell of Origin to Target Cell and BiofluidsUH3TR002978 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GALL, KENNETH A, HUANG, TONY JUN · 2021 to 2022
$1.8M
Advancing EFIRM-Liquid Biopsy (eLB) to a CLIA-Certified Laboratory Developed Test (eLB-LDT) for Detection of Actionable EGFR Mutations in NSCLC PatientsUH3CA206126 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHIA, DAVID S., SOO HOO, GUY · 2019 to 2021
$1.2M
Acoustofluidic Separation (AFS), Purification and Raman Spectral Fingerprinting of Single EVs: From Cell of Origin to Target Cell and BiofluidsUG3TR002978 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AN, JI YEONG, GALL, KENNETH A · 2019 to 2020
$823k
Ultra-short circulating tumor DNA (uctDNA) for liquid biopsy of non-small cell lung cancerR21CA239052 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LI, FENG, WONG, DAVID T · 2019 to 2020
$373k
NCATS NIH HHS UG3 TR002978NCATS NIH HHS UH3 TR002978NCI NIH HHS P50 CA211015NCI NIH HHS R21 CA239052NCI NIH HHS U01 CA233370NCI NIH HHS UH3 CA206126
6 · The paper itself

Abstract

backgroundThe current methodology used to detect, diagnose, and monitor many types of cancers requires invasive tissue biopsy testing. Recently, liquid biopsy using blood, plasma, urine, saliva, and various other bodily fluids has shown utility to solve many issues associated with tissue biopsy. Blood/plasma has received most of the attention within the liquid biopsy field, however, obtaining blood samples from patients is still somewhat invasive and requires trained professionals. Using urine to detect cell-free DNA cancer biomarkers offers a truly non-invasive sampling method that can be easily and reproducibly conducted by patients. CONTENT: Novel technologies and approaches have made the detection of small quantities of cell-free tumor DNA of varying lengths possible. Recent studies using urine circulating tumor DNA to detect cancer mutations and other biomarkers have shown sensitivity comparable to blood/plasma cell-free DNA liquid biopsy for many cancer types. Thus, urine cell-free DNA liquid biopsy may replace or provide supplementary information to tissue/blood biopsies. Further investigation with larger patient cohorts and standardization of pre-analytical factors is necessary to determine the utility of urine cell-free DNA liquid biopsy for cancer detection, diagnosis, and monitoring in a clinical setting. SUMMARY: In this mini-review we discuss the biological aspects of cell-free DNA in urine, numerous studies using urine cell-free DNA to detect urological cancers, and recent studies using urine cell-free DNA to detect and monitor non-urological cancers including lung, breast, colorectal, and other cancers.

Indexed as

Cell-Free Nucleic AcidsCirculating Tumor DNAUrologic NeoplasmsBiomarkers, TumorHumansLiquid BiopsyBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNA

Identifiers

PMID36213956
PMCPMC10423312
OpenAlexW4304091561

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.