Evidence map›Paper›PMID 36233691›Full record

ArticleJournal of clinical medicine2022

Urinary Comprehensive Genomic Profiling Correlates Urothelial Carcinoma Mutations with Clinical Risk and Efficacy of Intervention.

Vincent T Bicocca, Kevin G Phillips, Daniel S Fischer, Vincent M Caruso, Mahdi Goudarzi, Monica Garcia-Ransom, Peter S Lentz, Andrew R MacBride, Brad W Jensen, Brian C Mazzarella and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07187063 (Using Urine Tumor DNA to De-Intensify Surveillance in Non-Muscle Invasive Bladder Cancer), which is not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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.

NCT07187063 narecruitingnot on this mapstarted 2025, after this paper: background citation

Using Urine Tumor DNA to De-Intensify Surveillance in Non-Muscle Invasive Bladder Cancer

TypeinterventionalSponsorLahey ClinicRan2025 to 2029Enrolled56ConditionsNon-muscle Invasive Bladder Cancer (NMIBC)ArmsUroAmp Test (Convergent Genomics, Inc.)
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

14 authors at 2 institutions in 1 country.

Vincent T BicoccaConvergent Genomics, Inc., South San Francisco, CA 94080, USA.ORCID 0000-0002-5702-4586
Kevin G PhillipsConvergent Genomics, Inc., South San Francisco, CA 94080, USA.ORCID 0000-0003-1062-3802
Daniel S FischerConvergent Genomics, Inc., South San Francisco, CA 94080, USA.
Vincent M CarusoConvergent Genomics, Inc., South San Francisco, CA 94080, USA.
Mahdi GoudarziConvergent Genomics, Inc., South San Francisco, CA 94080, USA.ORCID 0000-0002-6364-6592
Monica Garcia-RansomConvergent Genomics, Inc., South San Francisco, CA 94080, USA.
Peter S LentzConvergent Genomics, Inc., South San Francisco, CA 94080, USA.
Andrew R MacBrideConvergent Genomics, Inc., South San Francisco, CA 94080, USA.ORCID 0000-0001-9659-3776
Brad W JensenConvergent Genomics, Inc., South San Francisco, CA 94080, USA.
Brian C MazzarellaConvergent Genomics, Inc., South San Francisco, CA 94080, USA.
Theresa KoppieWillamette Urology, Salem, OR 97302, USA.
James E KorkolaDepartment of Biomedical Engineering, Knight Cancer Institute, MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA.
Joe W GrayDepartment of Biomedical Engineering, Knight Cancer Institute, MEP-LINCS Center, Oregon Health & Science University, Portland, OR 97239, USA.
Trevor G LevinConvergent Genomics, Inc., South San Francisco, CA 94080, USA.ORCID 0000-0003-1323-1126
Oregon Health & Science University · USWillamette University · US

Funding

SBIR grant application to develop and commercialize a urine based medical diagnostic for the detection of bladder cancer recurrence.R44CA200174 · NCI · CONVERGENT GENOMICS, INC. · PI LEVIN, TREVOR · 2016 to 2021
$6.2M
NCI NIH HHS R44 CA200174NCI NIH HHS R44CA200174
6 · The paper itself

Abstract

The clinical standard of care for urothelial carcinoma (UC) relies on invasive procedures with suboptimal performance. To enhance UC treatment, we developed a urinary comprehensive genomic profiling (uCGP) test, UroAmplitude, that measures mutations from tumor DNA present in urine. In this study, we performed a blinded, prospective validation of technical sensitivity and positive predictive value (PPV) using reference standards, and found at 1% allele frequency, mutation detection performs at 97.4% sensitivity and 80.4% PPV. We then prospectively compared the mutation profiles of urine-extracted DNA to those of matched tumor tissue to validate clinical performance. Here, we found tumor single-nucleotide variants were observed in the urine with a median concordance of 91.7% and uCGP revealed distinct patterns of genomic lesions enriched in low- and high-grade disease. Finally, we retrospectively explored longitudinal case studies to quantify residual disease following bladder-sparing treatments, and found uCGP detected residual disease in patients receiving bladder-sparing treatment and predicted recurrence and disease progression. These findings demonstrate the potential of the UroAmplitude platform to reliably identify and track mutations associated with UC at each stage of disease: diagnosis, treatment, and surveillance. Multiple case studies demonstrate utility for patient risk classification to guide both surgical and therapeutic interventions.

Indexed as

bladder cancergenomic profilingliquid biopsymachine learningnext generation sequencingurine

Identifiers

PMID36233691
PMCPMC9571552
OpenAlexW4303710006

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.