Evidence map›Paper›PMID 41508041›Full record

Observational studyJournal of hematology & oncology2026

Clinical validation of UroCAD test for upper tract urothelial carcinoma detection: results from a prospective multi-center study.

Guoliang Yang, Shuxiong Zeng, Wei He, Lianhua Zhang, Chuanliang Xu, Jiahua Pan, Wei Xue

Registry-linked trialAbstract readMulticenter StudyObservational StudyValidation Study
In one paragraph

Observational study in Journal of hematology & oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05043662 (A Prospective, Single-blinded Study of UroCAD Assay Combined With Computed Tomography Urography and Urine Cytology for UTUC Diagnosis.), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT05043662 unknown statusnot on this map

A Prospective, Single-blinded Study of UroCAD Assay Combined With Computed Tomography Urography and Urine Cytology for UTUC Diagnosis.

TypeobservationalSponsorChanghai HospitalRan2021 to 2022Enrolled110ConditionsUrothelial Carcinoma, Diagnoses Disease, Ureter Cancer, IMAGEArmsUroCAD assay, CTU examination and urine cytology
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Guoliang Yang *Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 160 Pujian Road, Shanghai, 200127, China.
Shuxiong Zeng *Department of Urology, Changhai Hospital, Naval Medical University, 200433, Shanghai, China.
Wei He *Department of Urology, Changhai Hospital, Naval Medical University, 200433, Shanghai, China.
Lianhua ZhangDepartment of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 160 Pujian Road, Shanghai, 200127, China.
Chuanliang XuDepartment of Urology, Changhai Hospital, Naval Medical University, 200433, Shanghai, China. chuanliang_xu@126.com.
Jiahua PanDepartment of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 160 Pujian Road, Shanghai, 200127, China. panjiahua@renji.com.
Wei XueDepartment of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 160 Pujian Road, Shanghai, 200127, China. gliang.ee.2023@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUpper tract urothelial carcinoma (UTUC) poses diagnostic challenges due to its anatomical complexity and limited accessibility.

methodsThis prospective multicenter study (NCT05043662) evaluated the diagnostic performance of UroCAD, a novel non-invasive assay based on chromosomal copy number variation (CNV) analysis, in 244 patients with suspected UTUC or benign upper urinary tract conditions.

resultsUrine samples were analyzed for arm-level chromosomal aberrations (|Z-score|≥ 3.21), with histopathology as the reference standard. UroCAD demonstrated excellent diagnostic accuracy: sensitivity 91.0%, specificity 97.0%, and overall accuracy 93.4%. Performance was consistent across tumor locations (renal pelvis: 96.8%, ureter: 86.4%) and grades (high-grade: 93.5%, low-grade: 76.2%). Compared to urine cytology, UroCAD showed significantly higher sensitivity (91.2% vs. 52.9%, P < 0.001). CNV profiling revealed grade-associated patterns, with high-grade tumors frequently exhibiting amplifications on 1q and 8q. The extent (MaxZ) and number (CountZ) of chromosomal alterations correlated positively with tumor grade, supporting UroCAD's potential utility in molecular grading. CONCLUSIONS AND CLINICAL IMPLICATIONS: The UroCAD test demonstrates robust diagnostic performance for UTUC detection with high specificity and high sensitivity. The consistent performance across various clinical scenarios and the identification of specific chromosomal alteration patterns support its potential as a valuable clinical tool for both initial diagnosis and treatment monitoring. These findings warrant larger-scale validation studies to confirm its utility in routine clinical practice.

Indexed as

Carcinoma, Transitional CellDNA Copy Number VariationsUreteral NeoplasmsUrologic NeoplasmsAdultAgedAged, 80 and overChromosome AberrationsFemaleHumansMaleMiddle AgedProspective StudiesSensitivity and SpecificityChromosomal instability (CIN)Non-invasive diagnosisUpper tract urothelial carcinoma (UTUC)UroCAD

Identifiers

PMID41508041
PMCPMC12784582

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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.