Evidence map›Paper›PMID 38225592›Full record

ArticleGenome medicine2024

Multimodal epigenetic sequencing analysis (MESA) of cell-free DNA for non-invasive colorectal cancer detection.

Yumei Li, Jianfeng Xu, Chaorong Chen, Zhenhai Lu, Desen Wan, Diange Li, Jason S Li, Allison J Sorg, Curt C Roberts, Shivani Mahajan and 5 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Military Medical Research · 2026
    Article
  11. Article
  12. Observational
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  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

15 authors at 3 institutions in 2 countries.

Yumei Li *Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA.
Jianfeng Xu *Helio Genomics, Inc, Irvine, CA, 92618, USA.
Chaorong Chen *Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA.
Zhenhai Lu *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
Desen WanState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, P. R. China.
Diange LiGuangzhou Youze Biological Pharmaceutical Technology Company Ltd, Guangzhou, 510005, P. R. China.
Jason S LiDivision of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA.
Allison J SorgHelio Genomics, Inc, Irvine, CA, 92618, USA.
Curt C RobertsHelio Genomics, Inc, Irvine, CA, 92618, USA.
Shivani MahajanHelio Genomics, Inc, Irvine, CA, 92618, USA.
Maxime A GallantHelio Genomics, Inc, Irvine, CA, 92618, USA.
Itai PinkoviezkyHelio Genomics, Inc, Irvine, CA, 92618, USA.
Ya CuiDivision of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA.
David J TaggartHelio Genomics, Inc, Irvine, CA, 92618, USA. davidt@heliogenomics.com.
Wei LiDivision of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, CA, 92697, USA. wei.li@uci.edu.ORCID 0000-0001-9931-5990
University of California, Irvine · USSun Yat-sen University · CNID Genomics (United States) · US

Funding

CARCINOGENESIST32CA009054 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI EDINGER, AIMEE L, FRUMAN, DAVID ALEXANDER · 1985 to 2025
$8.6M
NCI NIH HHS T32 CA009054
6 · The paper itself

Abstract

backgroundDetecting human cancers through cell-free DNA (cfDNA) in blood is a sensitive and non-invasive option. However, capturing multiple forms of epigenetic information remains a technical and financial challenge.

methodsTo address this, we developed multimodal epigenetic sequencing analysis (MESA), a flexible and sensitive approach to capturing and integrating a diverse range of epigenetic features in cfDNA using a single experimental assay, i.e., non-disruptive bisulfite-free methylation sequencing, such as Enzymatic Methyl-seq. MESA enables simultaneous inference of four epigenetic modalities: cfDNA methylation, nucleosome occupancy, nucleosome fuzziness, and windowed protection score for regions surrounding gene promoters and polyadenylation sites.

resultsWhen applied to 690 cfDNA samples from 3 colorectal cancer clinical cohorts, MESA's novel modalities, which include nucleosome fuzziness, and genomic features, including polyadenylation sites, improve cancer detection beyond the traditional epigenetic markers of promoter DNA methylation.

conclusionsTogether, MESA stands as a major advancement in the field by utilizing comprehensive and complementary epigenetic profiles of cfDNA for effective non-invasive cancer detection.

Indexed as

Cell-Free Nucleic AcidsColorectal NeoplasmsBiomarkers, TumorDNA MethylationEpigenesis, GeneticHumansNucleosomesBiomarkers, TumorCell-Free Nucleic AcidsNucleosomesCancer detectionDNA methylationLiquid biopsyNucleosomePolyadenylation

Identifiers

PMID38225592
PMCPMC10790422
OpenAlexW4390893645

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.