Evidence map›Paper›PMID 39609560›Full record

ArticleNature biomedical engineering2025

Diagnosis of early-stage bladder cancer via unprocessed urine samples at the point of care.

Changjoon Keum, Haejin Yeom, Tae Il Noh, Seung Yong Yi, Soyeong Jin, Chaekyu Kim, Ji Sung Shim, Sung Goo Yoon, Hojun Kim, Kwan Hyi Lee and 2 more

Abstract read
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Article in Nature biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Changjoon Keum *Center for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Haejin Yeom *Center for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Tae Il Noh *Department of Urology, Korea University School of Medicine, Seoul, Republic of Korea.
Seung Yong YiCenter for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.
Soyeong JinCenter for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-1375-0113
Chaekyu KimFusion Biotechnology, Inc., Ulsan, Republic of Korea.
Ji Sung ShimDepartment of Urology, Korea University School of Medicine, Seoul, Republic of Korea.
Sung Goo YoonDepartment of Urology, Korea University School of Medicine, Seoul, Republic of Korea.
Hojun KimCenter for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-7974-1044
Kwan Hyi LeeCenter for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea. kwanhyi@kist.re.kr.ORCID http://orcid.org/0000-0002-7891-844X
Seok Ho KangDepartment of Urology, Korea University School of Medicine, Seoul, Republic of Korea. mdksh@korea.ac.kr.ORCID http://orcid.org/0000-0002-1524-5233
Youngdo JeongCenter for Advanced Biomolecular Recognition, Biomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, Republic of Korea. zerodegree@kist.re.kr.ORCID http://orcid.org/0000-0003-3514-9094

Funding

Korea Institute of Science and Technology (KIST) 2E32311Korea Institute of Science and Technology (KIST) 2E3232NNational Research Foundation of Korea (NRF) 2020M3A9D8038190National Research Foundation of Korea (NRF) 2023R1A2C100438911
6 · The paper itself

Abstract

Diagnostic kits for the optical detection of bladder cancer in urine can facilitate effective screening and surveillance. However, the heterogeneity of urine samples, owing to patients with bladder cancer often presenting with haematuria, interfere with the transduction of the optical signal. Here we describe the development and point-of-care performance of a device for the detection of bladder cancer that obviates the need for sample processing. The device leverages the enzymatic release of organogel particles carrying solvatochromic fluorophores in the presence of urinary hyaluronidases-a bladder cancer biomarker. Owing to buoyancy, the particles transfer from the urine sample into the organic phase, where the change in fluorescence can be measured via a smartphone without interference from blood proteins. In a double-blind study with 80 unprocessed urine samples from patients with bladder cancer (including samples with haematuria) or other genitourinary diseases and with 25 samples from healthy participants, our system distinguished the cancerous samples, including those with early-stage bladder cancer, with accuracies of about 90%. Obviating the need for sample pretreatment may facilitate the at-home detection of bladder cancer.

Indexed as

Early Detection of CancerPoint-of-Care SystemsUrinary Bladder NeoplasmsAgedBiomarkers, TumorDouble-Blind MethodFemaleHumansMaleMiddle AgedNeoplasm StagingSmartphoneBiomarkers, Tumor

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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.