Application of UCAD for Diagnosing Urothelial Carcinoma.

NCT ID: NCT03998371

Last Updated: 2019-06-26

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

300 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-05-05

Study Completion Date

2020-05-05

Brief Summary

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Chromosomal instability (CIN) refers to ongoing chromosome segregation errors throughout consecutive cell divisions. CIN is a hallmark of human cancer, and it is associated with poor prognosis, metastasis, and therapeutic resistance. Analyzing CIN of the DNA extracted from urothelial cells in urine samples seems a promising method for diagnosing, monitoring, and predicting the prognosis of bladder cancer patients. CIN can be assessed using experimental techniques such as bulk DNA sequencing, fluorescence in situ hybridization (FISH), or conventional karyotyping. However, these techniques are either time-consuming or non-specific. We here intend to study whether a new method named Ultrasensitive Chromosomal Aneuploidy Detection (UCAD), which is based on low-coverage whole-genome sequencing, can be used to analyze CIN thus help diagnosing and treating bladder cancer patients.

Detailed Description

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CIN results from errors in chromosome segregation during mitosis, leading to structural and numerical chromosomal abnormalities. It will generate genomic heterogeneity that acts as a substrate for natural selection. Furthermore, it is proved that tumors with aneuploidies and polyploidy resulting from whole-genome doubling are related with metastasis, treatment resistance, and decreased overall survival. It is estimated that 60%-80% of human tumors exhibit chromosomal abnormalities suggestive of CIN. CIN positively correlates with tumor stage and is enriched in relapsed as well as metastatic tumor specimens. Due to the ubiquity of CIN in cancer cells, it is a potentially non-invasive way to detect CIN in the urothelial cells from the urine sample for diagnosing and monitoring bladder cancer patients. UCAD is a new method to detecting CIN in the DNA sample from patients, including extracting DNA from urine, analyzing DNA by low-coverage whole-genome sequencing, processing the data by bio-information techniques, and finally optimizing the management of bladder cancer patients.

The investigators intended to conduct a prospective study by analyzing urine samples from bladder cancer patients and control groups that without any tumor in the urinary system or other organs to compare the specificity and sensitivity of UCAD test for diagnosing urothelial carcinoma to other modalities, such as urine cytology or fluorescence in situ hybridization (FISH).

Conditions

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Urothelial Carcinoma Diagnoses Disease Chromosomal Abnormality Urine Marking

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Urothelial carcinoma group

Pre-surgery patients with urothelial carcinoma will be the experimental group to determine the sensitivity and specificity of UCAD analysis, the result will be compared with cytology and FISH.

Low-coverage whole-genome sequencing of urine exfoliated cells

Intervention Type DIAGNOSTIC_TEST

The level of CIN The extracted DNA from morning urine will be analyzed by UCAD to determine the level of CIN.

Non-cancer participants group

Patients being treated for other diseases but without any tumor will provide a negative control to provide data for determining the sensitivity and specificity of UCAD analysis.

Low-coverage whole-genome sequencing of urine exfoliated cells

Intervention Type DIAGNOSTIC_TEST

The level of CIN The extracted DNA from morning urine will be analyzed by UCAD to determine the level of CIN.

Interventions

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Low-coverage whole-genome sequencing of urine exfoliated cells

The level of CIN The extracted DNA from morning urine will be analyzed by UCAD to determine the level of CIN.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Patients diagnosed with urothelial carcinoma and planned to undergo surgery.
* Participants without any tumor disease and willing to attend the study by providing morning urine.
* Male or female patients aged \>= 18 years.
* Participants signed informed consent form.

Exclusion Criteria

* Age under 18 years
* Individuals unwilling to sign the consent form or unwilling to provide morning urine for test or unwilling to provide the medical record.
* Individuals unwilling to participate in this trial.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Changhai Hospital

OTHER

Sponsor Role lead

Responsible Party

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Shuxiong Zeng

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Chuangliang Xu, M.D., Ph.D

Role: STUDY_CHAIR

Changhai Hospital

Locations

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Changhai Hospital

Shanghai, Shanghai Municipality, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Shuxiong zeng, M.D., Ph.D

Role: CONTACT

+8618930568759

Facility Contacts

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Shuxiong Zeng, M.D. Ph.D

Role: primary

+8618930568759

References

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Wadhwa N, Mathew BB, Jatawa SK, Tiwari A. Genetic instability in urinary bladder cancer: An evolving hallmark. J Postgrad Med. 2013 Oct-Dec;59(4):284-8. doi: 10.4103/0022-3859.123156.

Reference Type BACKGROUND
PMID: 24346386 (View on PubMed)

Bakhoum SF, Ngo B, Laughney AM, Cavallo JA, Murphy CJ, Ly P, Shah P, Sriram RK, Watkins TBK, Taunk NK, Duran M, Pauli C, Shaw C, Chadalavada K, Rajasekhar VK, Genovese G, Venkatesan S, Birkbak NJ, McGranahan N, Lundquist M, LaPlant Q, Healey JH, Elemento O, Chung CH, Lee NY, Imielenski M, Nanjangud G, Pe'er D, Cleveland DW, Powell SN, Lammerding J, Swanton C, Cantley LC. Chromosomal instability drives metastasis through a cytosolic DNA response. Nature. 2018 Jan 25;553(7689):467-472. doi: 10.1038/nature25432. Epub 2018 Jan 17.

Reference Type BACKGROUND
PMID: 29342134 (View on PubMed)

Liu H, He W, Wang B, Xu K, Han J, Zheng J, Ren J, Shao L, Bo S, Lu S, Lin T, Huang J. MALBAC-based chromosomal imbalance analysis: a novel technique enabling effective non-invasive diagnosis and monitoring of bladder cancer. BMC Cancer. 2018 Jun 15;18(1):659. doi: 10.1186/s12885-018-4571-7.

Reference Type BACKGROUND
PMID: 29907142 (View on PubMed)

Hieronymus H, Murali R, Tin A, Yadav K, Abida W, Moller H, Berney D, Scher H, Carver B, Scardino P, Schultz N, Taylor B, Vickers A, Cuzick J, Sawyers CL. Tumor copy number alteration burden is a pan-cancer prognostic factor associated with recurrence and death. Elife. 2018 Sep 4;7:e37294. doi: 10.7554/eLife.37294.

Reference Type BACKGROUND
PMID: 30178746 (View on PubMed)

Zeng S, Ying Y, Xing N, Wang B, Qian Z, Zhou Z, Zhang Z, Xu W, Wang H, Dai L, Gao L, Zhou T, Ji J, Xu C. Noninvasive Detection of Urothelial Carcinoma by Cost-effective Low-coverage Whole-genome Sequencing from Urine-Exfoliated Cell DNA. Clin Cancer Res. 2020 Nov 1;26(21):5646-5654. doi: 10.1158/1078-0432.CCR-20-0401. Epub 2020 Oct 9.

Reference Type DERIVED
PMID: 33037018 (View on PubMed)

Other Identifiers

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CH-urology-bladder marker-002

Identifier Type: -

Identifier Source: org_study_id

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