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Early Onset Colorectal Cancer Detection

Recruiting
Conditions
Colorectal Cancer
Colorectal Neoplasms
Colorectal Adenocarcinoma
Colorectal Cancer Stage I
Colorectal Cancer Stage IV
Colorectal Cancer Stage II
Colorectal Neoplasms Malignant
Colorectal Cancer Stage III
Interventions
Diagnostic Test: ENCODE
Registration Number
NCT06342401
Lead Sponsor
City of Hope Medical Center
Brief Summary

Colorectal cancer (CRC) once predominantly affected older individuals, but in recent years has witnessed a progressive increase in incidence among young adults. Once rare, early-onset colorectal cancer (EOCRC, that is, a CRC diagnosed before the age of 50) now constitutes 10-15% of all newly diagnosed CRC cases and it stands as the first cause of cancer-related death in young men and the second for young women.

This study aims to detect EOCRC with a non-invasive test, using a blood-based molecular assay based on microRNA (ribonucleic acid)

Detailed Description

The rising incidence of early-onset colorectal cancer (EOCRC) is a pressing clinical issue unique to our times, and it is expected to grow with an anticipated further 90% increase in incidence by the decade's end. Challenges persist even after reducing the CRC screening age to 45: under-45s lack routine screening and compliance in the 45-50 age group remains low, partly due to invasiveness and discomfort of standard screening methods. Urgent action is warranted to develop affordable, sensitive, and feasible screening for timely detection and improved participation. A non-invasive, patient-friendly screening test, like a blood-based assay, could address these epidemiological concerns and also attract underserved populations.

This study involves the development and validation of a liquid biopsy, assessing circulating cell-free and exosomal microRNAs (cf-miRNA and exo-miRNA, respectively) for indirect sampling of tumor tissue in the bloodstream. The researchers intend to harness machine learning and bioinformatics to create an integrated panel (with both cf-miRNAs and exo-miRNAs) to enhance the inherently high sensitivity of cf-miRNAs with the distinctive specificity of exo-miRNAs. This combined approach will not only improve the performance of a diagnostic model but will also tap into the diverse tumor biology aspects of EOCRC.

The study's core goal is to develop cost-efficient, non-invasive, clinic-friendly biomarkers with high sensitivity and specificity, aiding EOCRC detection.

The researchers intend to do so in three phases:

1. To perform comprehensive small RNA-Seq from matched cf-miRNA, exo-miRNA, cancer-derived miRNA, and mucosa-derived miRNA.

2. To develop and train two miRNA detection panels (cf-miRNA and exo-miRNA, respectively) based on advanced machine-learning models and, then, combine these two using several machine-learning models to obtain a final detection biomarker.

3. To validate the findings in an independent cohort of EOCRC and controls.

In summary, this proposal promises to improve patient care and compliance, and, ultimately, reduce mortality from EOCRC.

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
400
Inclusion Criteria
  • Stage I, II, III, IV colorectal cancer (TNM classification, 8th edition) diagnosed before the age of 50 (EOCRC cases)
  • Received standard diagnostic and staging procedures as per local guidelines, and at least one sample was drawn before receiving any curative-intent treatment
  • Colonoscopy-proven cancer-free status at the time of study inclusion (Non-disease controls)
Exclusion Criteria
  • Hereditary colorectal cancer syndromes (identified through genetic testing)
  • Inflammatory bowel diseases
  • Lack of written informed consent

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Early onset colorectal cancer (Training cohort)ENCODEColorectal cancer diagnosed before the age of 50
Non-disease controls (Training cohort)ENCODEIndividuals free from colorectal cancer, younger than 50 years of age
Early onset colorectal cancer (Validation cohort)ENCODEColorectal cancer diagnosed before the age of 50
Non-disease controls (Validation cohort)ENCODEIndividuals free from colorectal cancer, younger than 50 years of age
Primary Outcome Measures
NameTimeMethod
SensitivityThrough study completion, an average of 1 year

True Positive Rate: the probability of a positive test result, conditioned on the individual truly being positive

Secondary Outcome Measures
NameTimeMethod
SpecificityThrough study completion, an average of 1 year

True Negative Rate: the probability of a negative test result, conditioned on the individual truly being negative

Proportion of correct predictions (true positives and true negatives) among the total cases (i.e., accuracy)Through study completion, an average of 1 year

A measure of trueness: proportion of correct predictions (both true positives and true negatives) among the total number of cases examined

Trial Locations

Locations (13)

Colorectal Surgery, Vall d'Hebron University Hospital, Universitat Autonoma de Barcelona UAB

🇪🇸

Barcelona, Spain

Surgery Department, Hospital del Mar, Barcelona, Spain

🇪🇸

Barcelona, Spain

University of Salamanca-SACYL-CSIC, Salamanca, Spain

🇪🇸

Salamanca, Spain

City of Hope Medical Center

🇺🇸

Duarte, California, United States

IRCCS San Raffaele

🇮🇹

Milan, Italy

Kawasaki University

🇯🇵

Kawasaki, Japan

Mie University

🇯🇵

Mie, Japan

National Cancer Center Hospital

🇯🇵

Tokyo, Japan

Tokyo Medical and Dental University

🇯🇵

Tokyo, Japan

Yamagata University

🇯🇵

Yamagata, Japan

Barcelona University

🇪🇸

Barcelona, Spain

University of La Laguna

🇪🇸

La Laguna, Spain

Salamanca Biomedical Research Institute

🇪🇸

Madrid, Spain

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