Clinical Trials Logo

Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT05929365
Other study ID # NU22-08-00424
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date May 1, 2022
Est. completion date December 31, 2026

Study information

Verified date June 2023
Source Military University Hospital, Prague
Contact Stepan Suchanek, assoc. prof.
Phone 973208367
Email stepan.suchanek@uvn.cz
Is FDA regulated No
Health authority
Study type Observational [Patient Registry]

Clinical Trial Summary

It is known that the development of colorectal adenoma is dependent on the appearance of somatic mutations in protooncogenes and tumor suppressor genes. Based on our previous mutation analyses of 120 patients with high-risk adenoma removed by enbloc resection with subsequent colonoscopy after 1 year, there is a correlation between mutation in exon 7 of the TP53 gene and risk of early metachronous lesions development. The results also indicate that mutation phenotype (mutation profile and burden) of all lesions detected on index colonoscopy can determine risk of metachronous lesions. As not all synchronous lesions were analyzed and the surveillance colonoscopy interval was less than 3 years, this assumption could not be confirmed. In this study it is planned to perform mutation analysis of all synchronous lesions in 200 patients and correlate the data with appearance of metachronous lesions after 1, 3 and 5 years. Moreover, the mutation profile of all metachronous lesions developed during the 5 years of surveillance will be determinated and compared with mutation profile of index lesions from the same localization to verify their common biological origin. This all could help personalize the surveillance program in terms of reduction of the burden on the patient and endoscopic workplaces and risk of developing colorectal cancer in a particular patient.


Description:

The aim of this prospective study is to identify patients with recurrent colorectal lesions risk and try to design an optimal intervals of surveillance colonoscopies, especially in the high-risk group of patients, using mutation and clinical-pathologic phenotype. The partial goals are: 1. Determination of the mutation profile and mutation burden in 200 patients based on examination of all their index and synchronous lesions found during index colonoscopy using an established PCR/DCE-based heteroduplex method. 2. Clinical and histopathological evaluation and mutational profiling of all metachronous lesions found during five-year surveillance period. 3. Correlation of clinical and histopathological parameters with mutational phenotype of patient. 4. Correlation of patient's mutational phenotype with an occurrence of metachronous lesion/s during surveillance period. 5. Comparison of the mutation profile of lesions from the index period withthe mutation profile of metachronous lesions. 6. Analysis of the similarity of the mutation profile of lesions found in the same / close areas of the colorectum.


Recruitment information / eligibility

Status Recruiting
Enrollment 200
Est. completion date December 31, 2026
Est. primary completion date December 31, 2026
Accepts healthy volunteers Accepts Healthy Volunteers
Gender All
Age group 18 Years to 75 Years
Eligibility Inclusion Criteria: - Colorectal polyp larger than 10mm removed by colonoscopy therapeutic method (EPE, EMR, ESD) - Signed informed consent with the study and with colonoscopy Exclusion Criteria: - FAP, HNPCC and other hereditary CRC syndromes probands - Colonoscopy contraindication - Severe acute inflammatory bowel disease - Severe comorbidities; likely non-compliance of the patient

Study Design


Related Conditions & MeSH terms


Intervention

Procedure:
colonoscopy
determine the mutation profile of resected colorectal neoplasia

Locations

Country Name City State
Czechia Military University Hospital Prague

Sponsors (1)

Lead Sponsor Collaborator
Military University Hospital, Prague

Country where clinical trial is conducted

Czechia, 

Outcome

Type Measure Description Time frame Safety issue
Other Mutational phenotype of patient. Correlation of clinical and histopathological parameters with mutational phenotype of patient. 5 years
Other Metachronous lesions Correlation of patient's mutational phenotype with an occurrence of metachronous lesion/s during surveillance period. 5 years
Other Similarity of the mutation profile of lesions found in the same area Analysis of the similarity of the mutation profile of lesions found in the same / close areas of the colorectum. 5 years
Primary Development and Clinical Utility of a New Method to Identify Patients With Risk of Recurrent Colorectal Lesions and Personalization of Their Surveillance Based on Mutation Burden and Clinical-pathological Phenotype To identify patients with high risk of metachronous colorectal lesions and try to design and optimal intervals of surveillance colonoscopies, especially in the high-risk group of patients, using mutation and clinical-pathologic phenotype. 5 years
Secondary Determination of the mutation profile colorectal lesions Determination of the mutation profile and mutation burden in 200 patients based on examination of all their index and synchronous lesions found during index colonoscopy using an established PCR/DCE-based heteroduplex method. 5 years
Secondary Mutational profil of colorectal lesions Clinical and histopathological evaluation and mutational profiling of all metachronous lesions found during five-year surveillance period. 5 years
See also
  Status Clinical Trial Phase
Recruiting NCT06023966 - A Clinical Prospective Study to Validate a Risk Scoring Model for the HMGC After Curative Surgery
Recruiting NCT04535466 - Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics
Recruiting NCT03280134 - A Prospective Validation Cohort Study of a Prediction System on nSLN Metastasis in Early Breast Cancer N/A
Recruiting NCT03253107 - Predicting Biomarker of Gastric Cancer Chemotherapy Response
Recruiting NCT06364371 - Dynamic Multi-omics Integration Model to Predict Neoadjuvant Therapy Response in Locally Advanced Rectal Cancer
Recruiting NCT05997147 - A Preoperative Model to Predict the Lymphovascular Invasion in Pancreatic Ductal Adenocarcinoma
Active, not recruiting NCT05973331 - Prospective Validation of an EHR-based Pancreatic Cancer Risk Model
Recruiting NCT05338073 - KM3D Multicenter Cancer Consortium: Predicting Patient Response Using 3D Cell Culture Models
Recruiting NCT06391892 - Liquid Biopsy (ctDNA) Guided Treatment in Localized Pancreatic Cancer: Neoadjuvant CTX vs. Upfront Surgery Phase 3
Recruiting NCT06202404 - Predicting Tumor Metastasis by Employing a Target Organ/Primary Lesion Fusion Radiomics Model
Completed NCT06411015 - Prognostic Evaluation Prediction Model Survival Spinal Epidural Metastases
Completed NCT04079283 - Radiomics of Immunotherapeutics Response Evaluation and Prediction
Completed NCT06092918 - Generation and Validation of Predictive Models for Localized Prostate Cancer Treated With External Radiotherapy.
Recruiting NCT06339307 - A Prospective Clinical Study to Validate a Preoperative Risk Scoring Model for LNM in GC Patients
Recruiting NCT04185779 - COLO-COHORT (Colorectal Cancer Cohort) Study
Active, not recruiting NCT06074029 - Exploratory Study on the Therapeutic Effect Prediction Model of Advanced BTC Immunotherapy Phase 1/Phase 2
Recruiting NCT05741944 - The Value of a Risk Prediction Tool (PERSARC) for Effective Treatment Decisions of Soft-tissue Sarcomas Patients N/A
Recruiting NCT04452058 - CT-based Radiomic Algorithm for Assisting Surgery Decision and Predicting Immunotherapy Response of NSCLC
Recruiting NCT04511481 - Deep Learning Magnetic Resonance Imaging Radiomic Predict Platinum-sensitive in Patients With Epithelial Ovarian Cancer
Active, not recruiting NCT06140823 - Prospective Validation of Liver Cancer Risk Computation (LIRIC) Models