Aschistosoma Haematobiumspecific microRNAas a Tumor Marker for Early Diagnosis and Prognosis of Bilharzial Bladder Cancer in Eygpt

NCT ID: NCT05697224

Last Updated: 2023-01-25

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

Clinical Phase

NA

Total Enrollment

50 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-02-01

Study Completion Date

2024-05-01

Brief Summary

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miRNAs have been detected in different bodily fluids, which suggests significant potential, such as their use as biomarkers in diagnostics and prognostics. Sha-mir-71a was abundantly found in the urine of patients with bladder cancer as compared to benign bladder cystitis associated with schistosomiasis . Additionally, this miRNA was more highly detected in urine samples from patients with bilharzial bladder cancer than bladder cancer not associated with bilharziasis (schistosomiasis), suggesting its specificity in the identification of bladder cancer associated with infection.

Detailed Description

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Conditions

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Bladder Cancer

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

DIAGNOSTIC

Blinding Strategy

NONE

Study Groups

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chronicurinary schistosomiasis

Group Type ACTIVE_COMPARATOR

urinary micro RNA detection

Intervention Type DIAGNOSTIC_TEST

Urinary Sha-miR-71a gene expression analysis Total RNA extraction and purification Sha-miR\_71a gene expression analysis MAPK-3 gene expression analysis

bladder cancer diseased patients

Group Type ACTIVE_COMPARATOR

urinary micro RNA detection

Intervention Type DIAGNOSTIC_TEST

Urinary Sha-miR-71a gene expression analysis Total RNA extraction and purification Sha-miR\_71a gene expression analysis MAPK-3 gene expression analysis

Interventions

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urinary micro RNA detection

Urinary Sha-miR-71a gene expression analysis Total RNA extraction and purification Sha-miR\_71a gene expression analysis MAPK-3 gene expression analysis

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* urinary symptoms (hematuria, urinary retention, dysuria… etc.), who were planned to undergo cystoscopy for suspicion of bladder cancer (BC) or benign bilharzial cystitis (Bil), will be selected.

Exclusion Criteria

* : In bladder cancer group Patients who have received chemotherapy, or with previously diagnosed other malignancy within the past 5 years.
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Sohag University

OTHER

Sponsor Role lead

Responsible Party

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Esraa Omar Ali

assistant lecturar at parasitology department

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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esraa o ali, assistant lecturer

Role: CONTACT

01142171590

hanaa a hady, professor

Role: CONTACT

References

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Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018 Nov;68(6):394-424. doi: 10.3322/caac.21492. Epub 2018 Sep 12.

Reference Type BACKGROUND
PMID: 30207593 (View on PubMed)

Eissa S, Matboli M, Essawy NO, Kotb YM. Integrative functional genetic-epigenetic approach for selecting genes as urine biomarkers for bladder cancer diagnosis. Tumour Biol. 2015 Dec;36(12):9545-52. doi: 10.1007/s13277-015-3722-6. Epub 2015 Jul 3.

Reference Type BACKGROUND
PMID: 26138586 (View on PubMed)

Abd El-Aal AA, Bayoumy IR, Basyoni MM, Abd El-Aal AA, Emran AM, Abd El-Tawab MS, Badawi MA, Zalat RM, Diab TM. Genomic instability in complicated and uncomplicated Egyptian schistosomiasis haematobium patients. Mol Cytogenet. 2015 Jan 22;8(1):1. doi: 10.1186/s13039-014-0104-5. eCollection 2015.

Reference Type BACKGROUND
PMID: 25628757 (View on PubMed)

Chen L, Yuan L, Wang G, Cao R, Peng J, Shu B, Qian G, Wang X, Xiao Y. Identification and bioinformatics analysis of miRNAs associated with human muscle invasive bladder cancer. Mol Med Rep. 2017 Dec;16(6):8709-8720. doi: 10.3892/mmr.2017.7726. Epub 2017 Oct 4.

Reference Type BACKGROUND
PMID: 28990088 (View on PubMed)

Other Identifiers

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soh-med-22-11-12

Identifier Type: -

Identifier Source: org_study_id

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