Evidence map›Paper›PMID 36658307›Full record

ArticleNPJ precision oncology2023

Urine cell-free DNA multi-omics to detect MRD and predict survival in bladder cancer patients.

Pradeep S Chauhan, Alexander Shiang, Irfan Alahi, R Taylor Sundby, Wenjia Feng, Bilge Gungoren, Cayce Nawaf, Kevin Chen, Ramandeep K Babbra, Peter K Harris and 11 more

Open access · goldAbstract read
In one paragraph

Article in NPJ precision oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
21.9field-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.

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

43 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Phase II Trial of Risk-Enabled Therapy After Neoadjuvant Chemotherapy for Muscle-Invasive Bladder Cancer (RETAIN 1).Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Trial
  3. Article
  4. Review
  5. ctDNA Dynamics and Recurrence Patterns after Organ-Sparing Trimodality Therapy for Bladder Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Postoperative Lymph Is a Proximal Source of ctDNA for Detection of Recurrence in HPV-Independent Head and Neck Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  11. Review
  12. Prediction of Postoperative Intravesical Recurrence Using Urine DNA Monitoring in Nonmuscular-Invasive Urothelial Bladder Cancer.International journal of urology : official journal of the Japanese Urological Association · 2026
    Article
  13. Review
  14. Review
  15. Current Status and Future Perspectives of Molecular Residual Disease Testing in Genitourinary Cancers.International journal of urology : official journal of the Japanese Urological Association · 2025
    Review
  16. Review
  17. Circulating-free DNA: A promising tool for early detection of myocardial infarction.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Review
  18. Article
  19. Review
  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

21 authors at 5 institutions in 1 country.

Pradeep S Chauhan *Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Alexander Shiang *Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Irfan Alahi *Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
R Taylor SundbyPediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-8485-0026
Wenjia FengDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-6320-3927
Bilge GungorenDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID http://orcid.org/0000-0001-8988-5594
Cayce NawafDivision of Urology, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Kevin ChenDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Ramandeep K BabbraWilmot Institute Cancer Center, University of Rochester Medical Center, Rochester, NY, USA.ORCID http://orcid.org/0000-0002-6244-5107
Peter K HarrisDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Faridi QaiumDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Casey HatscherDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Anna AntipordaDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Lindsey BruntDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Lindsey R MayerDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Jack F ShernPediatric Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Brian C BaumannDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA.
Eric H KimDivision of Urology, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Melissa A ReimersSiteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, MO, USA.
Zachary L SmithDivision of Urology, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Aadel A ChaudhuriDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA. aadel@wustl.edu.ORCID http://orcid.org/0000-0003-3115-3061
Washington University in St. Louis · USBarnes-Jewish Hospital · USNational Institutes of Health · USCalifornia Institute of Technology · USUniversity of Rochester Medical Center · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Genomic characterization and development of therapies for RhabdomyosarcomaZIABC011722 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SHERN, JOHN · 2016 to 2025
$6.8M
Cell-Free Nucleic Acids for Early Treatment Response Assessment of Hepatocellular CancerK08CA238711 · NCI · WASHINGTON UNIVERSITY · PI CHAUDHURI, AADEL · 2019 to 2021
$647k
NCATS NIH HHS UL1 TR002345U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) K08CA238711U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences (NCATS) UL1TR002345
6 · The paper itself

Abstract

Circulating tumor DNA (ctDNA) sensitivity remains subpar for molecular residual disease (MRD) detection in bladder cancer patients. To remedy this problem, we focused on the biofluid most proximal to the disease, urine, and analyzed urine tumor DNA in 74 localized bladder cancer patients. We integrated ultra-low-pass whole genome sequencing (ULP-WGS) with urine cancer personalized profiling by deep sequencing (uCAPP-Seq) to achieve sensitive MRD detection and predict overall survival. Variant allele frequency, inferred tumor mutational burden, and copy number-derived tumor fraction levels in urine cell-free DNA (cfDNA) significantly predicted pathologic complete response status, far better than plasma ctDNA was able to. A random forest model incorporating these urine cfDNA-derived factors with leave-one-out cross-validation was 87% sensitive for predicting residual disease in reference to gold-standard surgical pathology. Both progression-free survival (HR = 3.00, p = 0.01) and overall survival (HR = 4.81, p = 0.009) were dramatically worse by Kaplan-Meier analysis for patients predicted by the model to have MRD, which was corroborated by Cox regression analysis. Additional survival analyses performed on muscle-invasive, neoadjuvant chemotherapy, and held-out validation subgroups corroborated these findings. In summary, we profiled urine samples from 74 patients with localized bladder cancer and used urine cfDNA multi-omics to detect MRD sensitively and predict survival accurately.

Identifiers

PMID36658307
PMCPMC9852243
OpenAlexW4317433763

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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.