Evidence map›Paper›PMID 40841759›Full record

ArticleCommunications medicine2025

Leveraging sequences missing from the human genome to diagnose cancer.

Ilias Georgakopoulos-Soares, Ofer Yizhar-Barnea, Ioannis Mouratidis, Candace S Y Chan, Michail Patsakis, Akshatha Nayak, Rachael Bradley, Mayank Mahajan, Jasmine Sims, Dianne Laboy Cintron and 17 more

Abstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. neomerDB: a comprehensive database of neomer biomarkers in cancer.Database : the journal of biological databases and curation · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The topography of nullomer-emerging mutations and their relevance to human disease.Computational and structural biotechnology journal · 2025
    Article
  9. A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024
    Review
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Article
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

27 authors.

Ilias Georgakopoulos-Soares *Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA. izg5139@psu.edu.ORCID http://orcid.org/0000-0003-3641-1488
Ofer Yizhar-Barnea *Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
Ioannis Mouratidis *Institute for Personalized Medicine, Department of Molecular and Precision Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, USA.
Candace S Y ChanDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-9667-7996
Michail PatsakisInstitute for Personalized Medicine, Department of Molecular and Precision Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, USA.
Akshatha NayakInstitute for Personalized Medicine, Department of Molecular and Precision Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, USA.
Rachael BradleyDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
Mayank MahajanThe Gene Lay Institute of Immunology and Inflammation, Brigham and Women's Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Jasmine SimsDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
Dianne Laboy CintronDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
Ryder EasterlinDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
Julia S KimDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA.
Emmalyn ChenDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Geovanni PinedaDivision of Gynecologic Oncology, University of California San Francisco, San Francisco, CA, USA.
Guillermo E ParadaDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-1018-9882
John S WitteDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-0146-1434
Christopher A MaherDivision of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-9035-603X
Felix FengDivision of Hematology/Oncology, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-0963-7687
Ioannis VathiotisThird Department of Internal Medicine, Sotiria Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece.ORCID http://orcid.org/0000-0002-1772-5986
Nikolaos SyrigosThird Department of Internal Medicine, Sotiria Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece.
Emmanouil PanagiotouThird Department of Internal Medicine, Sotiria Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece.
Andriani CharpidouThird Department of Internal Medicine, Sotiria Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece.
Konstantinos SyrigosThird Department of Internal Medicine, Sotiria Hospital, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece.
Jocelyn ChapmanHelen Diller Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-4260-3016
Mark KvaleInstitute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-0984-4878
Martin HembergThe Gene Lay Institute of Immunology and Inflammation, Brigham and Women's Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. mhemberg@bwh.harvard.edu.ORCID http://orcid.org/0000-0001-8895-5239
Nadav AhituvDepartment of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, CA, USA. nadav.ahituv@ucsf.edu.ORCID http://orcid.org/0000-0002-7434-8144

Funding

Massively parallel characterization of variants and elements impacting transcriptional regulation in dynamic cellular systemsUM1HG011966 · NHGRI · UNIVERSITY OF WASHINGTON · PI Nadav Ahituv, Jay Ashok Shendure · 2021 to 2026
$9.7M
FDA HHS U01 FD005978NHGRI NIH HHS UM1 HG011966U.S. Department of Health & Human Services | NIH | National Human Genome Research Institute (NHGRI) UM1HG011966Wellcome Trust
6 · The paper itself

Abstract

backgroundCancer diagnosis using cell-free DNA (cfDNA) has the potential to improve treatment and survival but has several technical limitations.

methodsIn this study, we developed a prediction model based on neomers, DNA sequences 13-17 nucleotides in length that are predominantly absent from the genomes of healthy individuals and are created by tumor-associated mutations.

resultsWe show that neomer-based classifiers can accurately detect cancer, including early stages, and distinguish subtypes and features. Analysis of 2577 cancer genomes from 21 cancer types shows that neomers can distinguish tumor types with higher accuracy than state-of-the-art methods. Generation and analysis of 465 cfDNA whole-genome sequences demonstrates that neomers can precisely detect lung and ovarian cancer, including early stages, with an area under the curve ranging from 0.89 to 0.94. By testing various promoters or over 9000 candidate enhancer sequences with massively parallel reporter assays, we show that neomers can identify cancer-associated mutations that alter regulatory activity.

conclusionsCombined, our results identify a sensitive, specific, and simple cancer diagnostic tool that can also identify cancer-associated mutations in gene regulatory elements.

Identifiers

PMID40841759
PMCPMC12371106

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Registered trials

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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.