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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT04966962
Other study ID # SysMU-diag1
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date September 1, 2021
Est. completion date August 31, 2022

Study information

Verified date July 2021
Source Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Contact Hao Chen
Phone +86-02034078960
Email chenh585@mail2.sysu.edu.cn
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Metabolomics is a complementary approach for identifying perturbed metabolic pathways. The goal of this study is to establish and validate an early diagnostic model for bladder cancer by metabolomics.


Description:

Early diagnosis and life-long surveillance are clinically important to improve the long-term survival of bladder cancer patients. Currently, a noninvasive biomarker that is as sensitive and specific as cystoscopy in detecting bladder cancer is lacking. Metabolomics are small organic molecules (below 2000 mass units) that are products of complex pathways. This is a prospective study aims to create an early diagnostic model based on serum and urine metabolomics. Commonly employed metabolomics analytical platforms include nuclear magnetic resonance spectroscopy (NMR), gas chromatography mass spectrometry (GC-MS), and liquid chromatography mass spectrometry (LC-MS). The diagnostic model will be made to distinguish bladder cancer and benign disease of the urinary system.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 180
Est. completion date August 31, 2022
Est. primary completion date August 31, 2022
Accepts healthy volunteers
Gender All
Age group 18 Years to 80 Years
Eligibility Inclusion Criteria: Bladder cancer group: 1. Any male or female patient aged 18 or older 2. Able to provide serum and urine specimen before treatment 3. Diagnosis with incident or recurrent bladder cancer Control group 1. Any male or female patient aged 18 or older 2. Able to provide serum and urine specimen before treatment 3. Diagnosis with benign disease of the urinary system, such as urinary calculi and benign prostatic hyperplasia. Exclusion Criteria: 1. Kidney and liver dysfunction. 2. Incomplete clinical information and laboratory test result 3. Tumor-related treatment was received preoperatively 4. Preoperative routine examination and medical history indicate a history of diabetes, hyperlipidemia and other metabolic diseases or other malignant tumors

Study Design


Related Conditions & MeSH terms


Intervention

Diagnostic Test:
serum and urine metabolomics
serum and urine samples will be collected for metabolomics analysis

Locations

Country Name City State
n/a

Sponsors (3)

Lead Sponsor Collaborator
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University The Seventh Affiliated Hospital of Sun Yat-sen University, Third Affiliated Hospital, Sun Yat-Sen University

Outcome

Type Measure Description Time frame Safety issue
Primary Sensitivity Measurement the sensitivity of diagnostic model based on urine and serum metabolomics in differentiating between bladder cancer and benign disease of the urinary system 1 year
Primary Specificity Measurement the specificity of diagnostic model based on urine and serum metabolomics in differentiating between bladder cancer and benign disease of the urinary system 1 year
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