Evidence map›Paper›PMID 34464379›Full record

ArticlePLoS medicine2021

Urine tumor DNA detection of minimal residual disease in muscle-invasive bladder cancer treated with curative-intent radical cystectomy: A cohort study.

Pradeep S Chauhan, Kevin Chen, Ramandeep K Babbra, Wenjia Feng, Nadja Pejovic, Armaan Nallicheri, Peter K Harris, Katherine Dienstbach, Andrew Atkocius, Lenon Maguire and 10 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
14.6field-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

60 citing papers in PubMed, 3 syntheses or guidelines pooled it, 86 citations in OpenAlex.

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  19. NCI workshop on ctDNA in cancer treatment and clinical care.Journal of the National Cancer Institute · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 3 institutions in 1 country.

Pradeep S ChauhanDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0003-4304-011X
Kevin ChenDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Ramandeep K BabbraDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0002-6244-5107
Wenjia FengDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0002-6320-3927
Nadja PejovicDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Armaan NallicheriDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Peter K HarrisDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Katherine DienstbachDivision of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0003-4582-3353
Andrew AtkociusDivision of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Lenon MaguireDivision of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0002-6718-5439
Faridi QaiumDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Jeffrey J SzymanskiDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0002-8005-701X
Brian C BaumannDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0002-7482-1413
Li DingDivision of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Dengfeng CaoDepartment of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Melissa A ReimersDivision of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0002-5167-3630
Eric H KimSiteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America.
Zachary L SmithSiteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0002-5945-3288
Vivek K AroraDivision of Medical Oncology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0003-1694-9109
Aadel A ChaudhuriDivision of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, St. Louis, Missouri, United States of America.ORCID 0000-0003-3115-3061
Washington University in St. Louis · USBarnes-Jewish Hospital · USJames S. McDonnell Foundation · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational Sciences (TL1)TL1TR002344 · NCATS · WASHINGTON UNIVERSITY · PI Jay F. Piccirillo · 2017 to 2026
$8.5M
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 TL1 TR002344NCATS NIH HHS UL1 TR002345NCI NIH HHS K08 CA238711
6 · The paper itself

Abstract

backgroundThe standard of care treatment for muscle-invasive bladder cancer (MIBC) is radical cystectomy, which is typically preceded by neoadjuvant chemotherapy. However, the inability to assess minimal residual disease (MRD) noninvasively limits our ability to offer bladder-sparing treatment. Here, we sought to develop a liquid biopsy solution via urine tumor DNA (utDNA) analysis. METHODS AND

findingsWe applied urine Cancer Personalized Profiling by Deep Sequencing (uCAPP-Seq), a targeted next-generation sequencing (NGS) method for detecting utDNA, to urine cell-free DNA (cfDNA) samples acquired between April 2019 and November 2020 on the day of curative-intent radical cystectomy from 42 patients with localized bladder cancer. The average age of patients was 69 years (range: 50 to 86), of whom 76% (32/42) were male, 64% (27/42) were smokers, and 76% (32/42) had a confirmed diagnosis of MIBC. Among MIBC patients, 59% (19/32) received neoadjuvant chemotherapy. utDNA variant calling was performed noninvasively without prior sequencing of tumor tissue. The overall utDNA level for each patient was represented by the non-silent mutation with the highest variant allele fraction after removing germline variants. Urine was similarly analyzed from 15 healthy adults. utDNA analysis revealed a median utDNA level of 0% in healthy adults and 2.4% in bladder cancer patients. When patients were classified as those who had residual disease detected in their surgical sample (n = 16) compared to those who achieved a pathologic complete response (pCR; n = 26), median utDNA levels were 4.3% vs. 0%, respectively (p = 0.002). Using an optimal utDNA threshold to define MRD detection, positive utDNA MRD detection was highly correlated with the absence of pCR (p < 0.001) with a sensitivity of 81% and specificity of 81%. Leave-one-out cross-validation applied to the prediction of pathologic response based on utDNA MRD detection in our cohort yielded a highly significant accuracy of 81% (p = 0.007). Moreover, utDNA MRD-positive patients exhibited significantly worse progression-free survival (PFS; HR = 7.4; 95% CI: 1.4-38.9; p = 0.02) compared to utDNA MRD-negative patients. Concordance between urine- and tumor-derived mutations, determined in 5 MIBC patients, was 85%. Tumor mutational burden (TMB) in utDNA MRD-positive patients was inferred from the number of non-silent mutations detected in urine cfDNA by applying a linear relationship derived from The Cancer Genome Atlas (TCGA) whole exome sequencing of 409 MIBC tumors. We suggest that about 58% of these patients with high inferred TMB might have been candidates for treatment with early immune checkpoint blockade. Study limitations included an analysis restricted only to single-nucleotide variants (SNVs), survival differences diminished by surgery, and a low number of DNA damage response (DRR) mutations detected after neoadjuvant chemotherapy at the MRD time point.

conclusionsutDNA MRD detection prior to curative-intent radical cystectomy for bladder cancer correlated significantly with pathologic response, which may help select patients for bladder-sparing treatment. utDNA MRD detection also correlated significantly with PFS. Furthermore, utDNA can be used to noninvasively infer TMB, which could facilitate personalized immunotherapy for bladder cancer in the future.

Indexed as

AgedAged, 80 and overBiomarkers, TumorCohort StudiesCystectomyDNA, NeoplasmFemaleHumansMaleMiddle AgedMissouriNeoplasm InvasivenessNeoplasm, ResidualProgression-Free SurvivalUrinary Bladder NeoplasmsUrineBiomarkers, TumorDNA, Neoplasm

Identifiers

PMID34464379
PMCPMC8407541
OpenAlexW3196536233

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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.