Evidence map›Paper›PMID 37399400›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Comprehensive tissue deconvolution of cell-free DNA by deep learning for disease diagnosis and monitoring.

Shuo Li, Weihua Zeng, Xiaohui Ni, Qiao Liu, Wenyuan Li, Mary L Stackpole, Yonggang Zhou, Arjan Gower, Kostyantyn Krysan, Preeti Ahuja and 12 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
17.0field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
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  10. Toward the simultaneous detection of multiple diseases with a highly cost-effective cell-free DNA methylome test.Proceedings of the National Academy of Sciences of the United States of America · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 4 institutions in 1 country.

Shuo LiDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.ORCID 0000-0002-1960-6016
Weihua ZengDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.ORCID 0009-0006-8727-0055
Xiaohui NiEarlyDiagnostics Inc., Los Angeles, CA 90095.
Qiao LiuDepartment of Statistics, Stanford University, Stanford, CA 94305.ORCID 0000-0002-9781-3360
Wenyuan LiDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.ORCID 0000-0002-5029-8525
Mary L StackpoleDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.ORCID 0000-0003-4432-6718
Yonggang ZhouDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.
Arjan GowerDepartment of Medicine, David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, CA 90095.
Kostyantyn KrysanDepartment of Medicine, David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, CA 90095.
Preeti AhujaDepartment of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.
David S LuDepartment of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.
Steven S RamanDepartment of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.
William HsuDepartment of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.
Denise R AberleDepartment of Radiological Sciences, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.
Clara E MagyarDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.
Samuel W FrenchDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.
Steven-Huy B HanDepartment of Medicine, David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, CA 90095.
Edward B GaronDepartment of Medicine, David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, CA 90095.
Vatche G AgopianJonsson Comprehensive Cancer Center, University of California at Los Angeles, Los Angeles, CA 90095.ORCID 0000-0003-0130-9838
Wing Hung WongDepartment of Statistics, Stanford University, Stanford, CA 94305.ORCID 0000-0001-7466-2339
Steven M DubinettDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.
Xianghong Jasmine ZhouDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095.
University of California, Los Angeles · USQB3 · USStanford University · USVPDiagnostics (United States) · US

Funding

Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
The UCLA Center in Early Detection of Liver CancerU01CA230705 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Vatche Agopian, Samuel Wheeler French · 2018 to 2026
$6.6M
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
Detecting and locating cancer for patients with CT-detected lung nodulesR01CA264864 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ZHOU, XIANGHONG JASMINE · 2022 to 2025
$3.2M
HLA B44 motif neoepitopes in NSCLC: Evaluating their effects on the TME and adding them to established markers in a model to predict durable benefit from PD- 1 inhibition with and without chemotherapyR01CA276917 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EDWARD B GARON · 2023 to 2026
$2.9M
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
Novel Computation Methods for the Analysis of Cell-Free DNA Sequence DataR01CA246329 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M., LI, WENYUAN · 2019 to 2022
$2.2M
Statistical methods for gene regulatory analysis and single cell genomicsR01HG010359 · NHGRI · STANFORD UNIVERSITY · PI WONG, WING H. · 2019 to 2022
$1.5M
Informatics resources for liquid biopsy researchU01CA237711 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LI, WENYUAN · 2019 to 2021
$1.1M
NCI NIH HHS R01 CA246304NCI NIH HHS R01 CA246329NCI NIH HHS R01 CA253651NCI NIH HHS R01 CA264864NCI NIH HHS R01 CA276917NCI NIH HHS U01 CA230705NCI NIH HHS U01 CA237711NHGRI NIH HHS P50 HG007735NHGRI NIH HHS R01 HG010359
6 · The paper itself

Abstract

Plasma cell-free DNA (cfDNA) is a noninvasive biomarker for cell death of all organs. Deciphering the tissue origin of cfDNA can reveal abnormal cell death because of diseases, which has great clinical potential in disease detection and monitoring. Despite the great promise, the sensitive and accurate quantification of tissue-derived cfDNA remains challenging to existing methods due to the limited characterization of tissue methylation and the reliance on unsupervised methods. To fully exploit the clinical potential of tissue-derived cfDNA, here we present one of the

Indexed as

Cell-Free Nucleic AcidsDeep LearningBiomarkersBiomarkers, TumorDNA MethylationHumansPromoter Regions, GeneticBiomarkersBiomarkers, TumorCell-Free Nucleic Acidscell-free DNAdisease diagnosisdisease monitoringDNA methylationtissue deconvolution

Identifiers

PMID37399400
PMCPMC10334733
OpenAlexW4382932469

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.