Trial · NCT07888374
Urinary Cell-Free DNA Liquid Biopsy for Urothelial Cancer Diagnosis and Origin Identification
NCT07888374, Recruiting, Ruijin Hospital
3 sourcestrials-2026-11-12-0.5.0
Cite this record
ConductScience Library. Urinary Cell-Free DNA Liquid Biopsy for Urothelial Cancer Diagnosis and Origin Identification. Trials, record NCT07888374. Release trials-2026-11-12-0.5.0, 12 Nov 2026. https://conductscience.org/library/trials/NCT07888374
On this page
Trial
As registered on ClinicalTrials.gov, in the graph's capture of the registry.
- Title
- Urinary Cell-Free DNA Liquid Biopsy for Urothelial Cancer Diagnosis and Origin Identification
- NCT number
- NCT07888374
- Status
- Recruiting
- Enrollment
- 477 participants, estimated
- Lead sponsor
- Ruijin Hospital
- Conditions
- Urothelial Carcinoma (UC), Upper Tract Urothelial Carcinoma, Bladder Cancer
- First posted
- 2026-10-22
- Last updated
- 2026-10-22
Source ClinicalTrials.gov
Registered outcomes1
Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.
| List | Outcome | Time frame | Description |
|---|---|---|---|
| Primary | Area Under the Receiver Operating Characteristic Curve for Differentiating Upper Tract Urothelial Carcinoma from Lower Tract Urothelial Carcinoma | After completion of sample collection and analysis, anticipated within 12 months of study start. | The primary outcome is the area under the receiver operating characteristic curve (AUC) of the urinary cell-free DNA (cfDNA) fragmentomics-based model for differentiating upper tract urothelial carcinoma (UTUC) from lower tract urothelial carcinoma (bladder cancer) in the independent validation set. The model will be constructed using multimodal fragmentomic features extracted from low-pass whole-genome sequencing data, including fragment size distribution, end motif preference, nucleosome positioning, genome coverage fluctuation, and copy number alteration signals. Machine learning algorithms including logistic regression, random forest, support vector machine, and ensemble learning models will be applied. The AUC will be calculated with its 95% confidence interval, and sensitivity, specificity, positive predictive value, and negative predictive value will also be reported. |
Source ClinicalTrials.gov
Outcomes0
Each outcome the trial posted results for, in ClinicalTrials.gov's words.
None in this release.
Results by group0
Each measurement the trial posted, group by group, in the words and numbers it posted.
None in this release.
Participant flow0
How many started, completed or left each group, period by period.
None in this release.
Adverse events0
Each adverse event the trial posted, group by group: the participants affected out of those at risk.
None in this release.
Adverse event totals0
The totals the trial posted for each group.
None in this release.
Papers0
The papers the trial lists on ClinicalTrials.gov.
None in this release.
Grants0
The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.
None in this release.
Trial comparisons0
Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.
None in this release.
Tests0
The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.
None in this release.
Data dates
The day each source was copied for this release.
Sources 3
- ClinicalTrials.gov's posted results, through CTTI's AACTFreely available. Acknowledgement requested
- ClinicalTrials.govNo license stated
- NIH RePORTER's clinical studies and project filesPublic domain
Each source's terms
- ClinicalTrials.gov's posted results, through CTTI's AACTClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299
- ClinicalTrials.govnone stated
- NIH RePORTER's clinical studies and project filesPublic domain (NIH RePORTER)
ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
For software
Read this trial from software.
The record and each of its lists are JSON, twenty rows a page. No key.
GET https://conductscience.org/api/trials/v1/NCT07888374
GET https://conductscience.org/api/trials/v1/NCT07888374/registered