Evidence map›Paper›PMID 36630480›Full record

ArticleScience translational medicine2023

Genome-wide analysis of aberrant position and sequence of plasma DNA fragment ends in patients with cancer.

Karan K Budhraja, Bradon R McDonald, Michelle D Stephens, Tania Contente-Cuomo, Havell Markus, Maria Farooq, Patricia F Favaro, Sydney Connor, Sara A Byron, Jan B Egan and 12 more

Abstract read
In one paragraph

Article in Science translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–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

42 citing papers in PubMed.

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  15. Article
  16. Fragmentation signatures in cancer patients resemble those of patients with vascular or autoimmune diseases.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Minimizing and quantifying uncertainty in AI-informed decisions: Applications in medicine.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  18. Article
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  20. Review
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

22 authors.

Karan K BudhrajaDepartment of Surgery and Center for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0002-3683-2234
Bradon R McDonaldDepartment of Surgery and Center for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0002-6150-8735
Michelle D StephensDepartment of Surgery and Center for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0002-8825-7999
Tania Contente-CuomoTranslational Genomics Research Institute, Phoenix, AZ 85004, USA.ORCID 0000-0001-6965-5724
Havell MarkusPennsylvania State University, Hershey, PA 17033, USA.ORCID 0000-0001-7060-4350
Maria FarooqDepartment of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA.ORCID 0000-0002-0674-6992
Patricia F FavaroDepartment of Surgery and Center for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0003-2277-8107
Sydney ConnorDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0002-0692-8008
Sara A ByronTranslational Genomics Research Institute, Phoenix, AZ 85004, USA.ORCID 0000-0003-0093-0374
Jan B EganMayo Clinic, Scottsdale, AZ 85259, USA.
Brenda ErnstMayo Clinic, Scottsdale, AZ 85259, USA.ORCID 0000-0002-7292-3950
Timothy K McDanielTranslational Genomics Research Institute, Phoenix, AZ 85004, USA.
Aleksandar SekulicMayo Clinic, Scottsdale, AZ 85259, USA.
Nhan L TranMayo Clinic, Scottsdale, AZ 85259, USA.
Michael D PradosDepartment of Neurological Surgery, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-9630-2075
Mitesh J BoradMayo Clinic, Scottsdale, AZ 85259, USA.ORCID 0000-0003-2700-2658
Michael E BerensTranslational Genomics Research Institute, Phoenix, AZ 85004, USA.ORCID 0000-0002-3382-6787
Barbara A PockajMayo Clinic, Scottsdale, AZ 85259, USA.ORCID 0000-0001-8736-3020
Patricia M LoRussoYale Cancer Center, New Haven, CT 06520, USA.
Alan BryceMayo Clinic, Scottsdale, AZ 85259, USA.ORCID 0000-0002-0206-3895
Jeffrey M TrentTranslational Genomics Research Institute, Phoenix, AZ 85004, USA.ORCID 0000-0003-0183-4202
Muhammed MurtazaDepartment of Surgery and Center for Human Genomics and Precision Medicine, University of Wisconsin-Madison, Madison, WI 53705, USA.ORCID 0000-0001-7557-2861

Funding

Individualized monitoring of treatment response and resistance in patients with metastatic melanomaR01CA223481 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI MURTAZA, MUHAMMED · 2018 to 2022
$2.0M
Pre-analytical factors affecting ctDNA analysis in early and locally advanced breast cancerU01CA243078 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI MURTAZA, MUHAMMED · 2019 to 2023
$1.9M
NCI NIH HHS R01 CA223481NCI NIH HHS U01 CA243078
6 · The paper itself

Abstract

Genome-wide fragmentation patterns in cell-free DNA (cfDNA) in plasma are strongly influenced by cellular origin due to variation in chromatin accessibility across cell types. Such differences between healthy and cancer cells provide the opportunity for development of novel cancer diagnostics. Here, we investigated whether analysis of cfDNA fragment end positions and their surrounding DNA sequences reveals the presence of tumor-derived DNA in blood. We performed genome-wide analysis of cfDNA from 521 samples and analyzed sequencing data from an additional 2147 samples, including healthy individuals and patients with 11 different cancer types. We developed a metric based on genome-wide differences in fragment positioning, weighted by fragment length and GC content [information-weighted fraction of aberrant fragments (iwFAF)]. We observed that iwFAF strongly correlated with tumor fraction, was higher for DNA fragments carrying somatic mutations, and was higher within genomic regions affected by copy number amplifications. We also calculated sample-level means of nucleotide frequencies observed at genomic positions spanning fragment ends. Using a combination of iwFAF and nine nucleotide frequencies from three positions surrounding fragment ends, we developed a machine learning model to differentiate healthy individuals from patients with cancer. We observed an area under the receiver operative characteristic curve (AUC) of 0.91 for detection of cancer at any stage and an AUC of 0.87 for detection of stage I cancer. Our findings remained robust with as few as 1 million fragments analyzed per sample, demonstrating that analysis of fragment ends can become a cost-effective and accessible approach for cancer detection and monitoring.

Indexed as

Cell-Free Nucleic AcidsNeoplasmsBiomarkers, TumorChromatinDNAHumansNucleotidesSequence Analysis, DNABiomarkers, TumorCell-Free Nucleic AcidsChromatinDNANucleotides

Identifiers

PMID36630480
PMCPMC10080578

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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.