Evidence map›Paper›PMID 37345205›Full record

ArticleCancers2023

Accurate Detection of Urothelial Bladder Cancer Using Targeted Deep Sequencing of Urine DNA.

Dongin Lee, Wookjae Lee, Hwang-Phill Kim, Myong Kim, Hyun Kyu Ahn, Duhee Bang, Kwang Hyun Kim

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Dongin LeeDepartment of Chemistry, Yonsei University, Seoul 03722, Republic of Korea.
Wookjae LeeIMBdx, Seoul 08506, Republic of Korea.
Hwang-Phill KimIMBdx, Seoul 08506, Republic of Korea.
Myong KimDepartment of Urology, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea.
Hyun Kyu AhnDepartment of Urology, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea.
Duhee BangDepartment of Chemistry, Yonsei University, Seoul 03722, Republic of Korea.
Kwang Hyun KimDepartment of Urology, Ewha Womans University Seoul Hospital, Seoul 07804, Republic of Korea.ORCID 0000-0002-6264-5109
Ewha Womans University · KRYonsei University · KR

Funding

National Research Foundation of Korea 2021R1A2C2094264National Research Foundation of Korea 2021R1C1C1011386
6 · The paper itself

Abstract

Patients with hematuria are commonly given an invasive cystoscopy test to detect bladder cancer (BC). To avoid the risks associated with cystoscopy, several urine-based methods for BC detection have been developed, the most prominent of which is the deep sequencing of urine DNA. However, the current methods for urine-based BC detection have significant levels of false-positive signals. In this study, we report on uAL100, a method to precisely detect BC tumor DNA in the urine without tumor samples. Using urine samples from 43 patients with BC and 21 healthy donors, uAL100 detected BC with 83.7% sensitivity and 100% specificity. The mutations identified in the urine DNA by uAL100 for BC detection were highly associated with BC tumorigenesis and progression. We suggest that uAL100 has improved accuracy compared to other urine-based methods for early BC detection and can reduce unnecessary cystoscopy tests for patients with hematuria.

Indexed as

bladder cancerearly cancer detectionnon-invasive cancer detectiontarget deep sequencingurine tumor DNA

Identifiers

PMID37345205
PMCPMC10216686
OpenAlexW4378084381

What OpenQuestion holds

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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.