Evidence map›Paper›PMID 38201510›Full record

ArticleCancers2023

A Novel Tissue-Free Method to Estimate Tumor-Derived Cell-Free DNA Quantity Using Tumor Methylation Patterns.

Collin A Melton, Peter Freese, Yifan Zhou, Archana Shenoy, Siddhartha Bagaria, Christopher Chang, Chih-Chung Kuo, Eric Scott, Subashini Srinivasan, Gordon Cann and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. 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
  3. Prevalence ofJCO precision oncology · 2026
    Article
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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

13 authors at 1 institution in 1 country.

Collin A MeltonGRAIL, LLC, Menlo Park, CA 94025, USA.
Peter FreeseGRAIL, LLC, Menlo Park, CA 94025, USA.
Yifan ZhouGRAIL, LLC, Menlo Park, CA 94025, USA.
Archana ShenoyGRAIL, LLC, Menlo Park, CA 94025, USA.
Siddhartha BagariaGRAIL, LLC, Menlo Park, CA 94025, USA.ORCID 0000-0003-2357-443X
Christopher ChangGRAIL, LLC, Menlo Park, CA 94025, USA.ORCID 0000-0002-3290-3306
Chih-Chung KuoGRAIL, LLC, Menlo Park, CA 94025, USA.
Eric ScottGRAIL, LLC, Menlo Park, CA 94025, USA.ORCID 0000-0001-7301-0152
Subashini SrinivasanGRAIL, LLC, Menlo Park, CA 94025, USA.
Gordon CannGRAIL, LLC, Menlo Park, CA 94025, USA.
Manami Roychowdhury-SahaGRAIL, LLC, Menlo Park, CA 94025, USA.ORCID 0000-0002-2111-8468
Pei-Yun ChangGRAIL, LLC, Menlo Park, CA 94025, USA.
Amoolya H SinghGRAIL, LLC, Menlo Park, CA 94025, USA.
Menlo School · US

Funding

Grail (United States) N/A
6 · The paper itself

Abstract

Estimating the abundance of cell-free DNA (cfDNA) fragments shed from a tumor (i.e., circulating tumor DNA (ctDNA)) can approximate tumor burden, which has numerous clinical applications. We derived a novel, broadly applicable statistical method to quantify cancer-indicative methylation patterns within cfDNA to estimate ctDNA abundance, even at low levels. Our algorithm identified differentially methylated regions (DMRs) between a reference database of cancer tissue biopsy samples and cfDNA from individuals without cancer. Then, without utilizing matched tissue biopsy, counts of fragments matching the cancer-indicative hyper/hypo-methylated patterns within DMRs were used to determine a tumor methylated fraction (TMeF; a methylation-based quantification of the circulating tumor allele fraction and estimate of ctDNA abundance) for plasma samples. TMeF and small variant allele fraction (SVAF) estimates of the same cancer plasma samples were correlated (Spearman's correlation coefficient: 0.73), and synthetic dilutions to expected TMeF of 10

Indexed as

biomarkerscell-free DNAcirculating tumor DNAcomputational methodsDNA methylationliquid biopsymachine learning algorithmstumor fractionvariant allele fraction

Identifiers

PMID38201510
PMCPMC10777919
OpenAlexW4390175020

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.