Evidence map›Paper›PMID 36399356›Full record

ArticleCancer discovery2023

Detecting Liver Cancer Using Cell-Free DNA Fragmentomes.

Zachariah H Foda, Akshaya V Annapragada, Kavya Boyapati, Daniel C Bruhm, Nicholas A Vulpescu, Jamie E Medina, Dimitrios Mathios, Stephen Cristiano, Noushin Niknafs, Harry T Luu and 11 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Cancer discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06342414 (An Exosome-Based Liquid Biopsy for the Differential Diagnosis of Primary Liver Cancer), which is not on this map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
13.4field-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.

NCT06342414 recruitingnot on this mapstarted 2024, after this paper: background citation

An Exosome-Based Liquid Biopsy for the Differential Diagnosis of Primary Liver Cancer

TypeobservationalSponsorCity of Hope Medical CenterRan2024 to 2028Enrolled400ConditionsHepatocellular Carcinoma, Intrahepatic Cholangiocarcinoma, Cholangiocarcinoma, Primary Liver CancerArmsELUCIDATE
3 · Its place in the literature

Who cites it

90 citing papers in PubMed, 146 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. plasmaCHORD: A Machine Learning Approach to Distinguish Clonal Hematopoiesis-Derived Variants in Liquid Biopsies from Patients with Solid Tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
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  8. Review
  9. Article
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30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 1 institution in 1 country.

Zachariah H Foda *The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-3591-8482
Akshaya V Annapragada *The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-9097-6511
Kavya BoyapatiThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-1731-7480
Daniel C BruhmThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-8436-501X
Nicholas A VulpescuThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-1310-0257
Jamie E MedinaThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-6124-0548
Dimitrios MathiosThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-0792-6880
Stephen CristianoThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-7375-2364
Noushin NiknafsThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-4852-3674
Harry T LuuDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-6130-9915
Michael G GogginsThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-4286-2296
Robert A AndersDepartment of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-2363-9072
Jing SunDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0003-3741-0962
Shruti H MetaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0002-2523-0959
David L ThomasDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-0749-925X
Gregory D KirkDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.ORCID 0000-0002-7829-1405
Vilmos AdleffThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-5001-1766
Jillian PhallenThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-5492-9013
Robert B ScharpfThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-4702-2656
Amy K KimDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-6121-9581
Victor E VelculescuThe Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0003-1195-438X
Johns Hopkins University · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI ALAN KEITH MEEKER · 1985 to 2026
$208.6M
Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI THOMPSON, ELIZABETH D · 1993 to 2022
$54.6M
The AIDS Linked to the Intravenous Experience (ALIVE) StudyU01DA036297 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Gregory D Kirk, Shruti H Mehta · 2014 to 2026
$28.9M
INCIDENCE OF HIV INFECTIONS IN A COHORT OF IV DRUG USERSR01DA012568 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MEHTA, SHRUTI H · 1999 to 2017
$15.5M
Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
ECOG-ACRIN Thoracic Malignancies Integrated Translational Science CenterUG1CA233259 · NCI · EMORY UNIVERSITY · PI CARBONE, DAVID P., LEAL, TICIANA · 2019 to 2025
$5.1M
Large-Scale Genetic Analyses of Human CancerR01CA121113 · NCI · JOHNS HOPKINS UNIVERSITY · PI ANAGNOSTOU, VALSAMO, VELCULESCU, VICTOR E. · 2006 to 2022
$4.3M
Signaling Cell Death from the Endoplasmic ReticulumR01CA136577 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI OAKES, SCOTT A. · 2009 to 2013
$1.6M
Improved early prognostic algorithm for hepatocellulcar carcinomaK08CA237624 · NCI · JOHNS HOPKINS UNIVERSITY · PI KIM, AMY K · 2020 to 2024
$1.3M
INCIDENCE OF HIV INFECTION IN A COHORT OF IV DRUG USERSR56DA012568 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MEHTA, SHRUTI H · 2013 to 2013
$833k
Collaboration on HIV and AgingResearch through the Study of MitochondriaK01AI162247 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Jing Sun · 2022 to 2026
$677k
COMMUNITY-BASED APPROACHES TO TOBACCO CONTROLF32CA069731 · NCI · STANFORD UNIVERSITY · PI RIBISL, KURT M. · 1996 to 1997
–
NCI NIH HHS F32 CA069731NCI NIH HHS K08 CA237624NCI NIH HHS P30 CA006973NCI NIH HHS P50 CA062924NCI NIH HHS R01 CA121113NCI NIH HHS R01 CA136577NCI NIH HHS UG1 CA233259NIAID NIH HHS K01 AI162247NIDA NIH HHS R01 DA012568NIDA NIH HHS R56 DA012568NIDA NIH HHS U01 DA036297NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

Liver cancer is a major cause of cancer mortality worldwide. Screening individuals at high risk, including those with cirrhosis and viral hepatitis, provides an avenue for improved survival, but current screening methods are inadequate. In this study, we used whole-genome cell-free DNA (cfDNA) fragmentome analyses to evaluate 724 individuals from the United States, the European Union, or Hong Kong with hepatocellular carcinoma (HCC) or who were at average or high-risk for HCC. Using a machine learning model that incorporated multifeature fragmentome data, the sensitivity for detecting cancer was 88% in an average-risk population at 98% specificity and 85% among high-risk individuals at 80% specificity. We validated these results in an independent population. cfDNA fragmentation changes reflected genomic and chromatin changes in liver cancer, including from transcription factor binding sites. These findings provide a biological basis for changes in cfDNA fragmentation in patients with liver cancer and provide an accessible approach for noninvasive cancer detection. SIGNIFICANCE: There is a great need for accessible and sensitive screening approaches for HCC worldwide. We have developed an approach for examining genome-wide cfDNA fragmentation features to provide a high-performing and cost-effective approach for liver cancer detection. See related commentary Rolfo and Russo, p. 532. This article is highlighted in the In This Issue feature, p. 517.

Indexed as

Carcinoma, HepatocellularCell-Free Nucleic AcidsLiver NeoplasmsHumansLiver CirrhosisCell-Free Nucleic Acids

Identifiers

PMID36399356
PMCPMC9975663
OpenAlexW4309368285

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LicenceCC BY-NC-ND
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Registered trials

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.