Colorectal Carcinoma Clinical Trial
Official title:
Young-Onset Colorectal Cancer
Verified date | April 2024 |
Source | M.D. Anderson Cancer Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
This study investigates the genetic factors that may influence the risk of developing colorectal cancer at a young age. Finding genetic markers for colorectal may help identify patients who are at risk of colorectal cancer. Studying individuals and families at high risk of cancer may help identify cancer genes and other persons at risk.
Status | Active, not recruiting |
Enrollment | 818 |
Est. completion date | August 31, 2030 |
Est. primary completion date | August 31, 2030 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 80 Years |
Eligibility | Inclusion Criteria: - PATIENTS: MDACC patients who have adenocarcinoma of the colon or rectum, diagnosed between ages 18 through 50 (young-onset), or diagnosed at age 51 through 80 (later-onset) - PATIENTS: Patient must have sufficient command of the English language and mental capacity to provide consent - FAMILY MEMBERS: Be a parent, sibling or child (first degree blood relative) of a registered MDACC patient meeting eligibility criteria above - FAMILY MEMBERS: Have sufficient command of the English language and mental capacity to provide consent - FAMILY MEMBERS: Family member must be at least 18 years of age at the time of study registration |
Country | Name | City | State |
---|---|---|---|
United States | MD Anderson in The Woodlands | Conroe | Texas |
United States | M D Anderson Cancer Center | Houston | Texas |
United States | MD Anderson West Houston | Houston | Texas |
United States | MD Anderson League City | League City | Texas |
United States | MD Anderson in Sugar Land | Sugar Land | Texas |
Lead Sponsor | Collaborator |
---|---|
M.D. Anderson Cancer Center |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Clinical and epidemiologic data obtained from medical records | Including age of colorectal cancer (CRC) diagnosis, gender, race/ethnicity, insurance status, tumor-related variables including location of the CRC, clinical and pathologic stage of CRC, histologic features including histologic grade of differentiation, mucinous histology, signet ring, and adverse features such as lymphovasucalar invasion and perineural invasion, as well as information provided from patients regarding their family history and their dietary, environmental and lifestyle information will be described using descriptive statistics. All continuous variables were described as median and interquartile range, and categorical variables as number and percentage. Comparisons between the young and the older cohorts were performed by using the Wilcoxon rank-sum test for continuous variables and Chi-squared or Fisher's exact tests for categorical variables as appropriate. | Up to 5 years | |
Primary | Identify polymorphism variants and/or new mutations | Will use bioinformatic analysis to analyze and understand the identified polymorphism variants and/or new mutations. Chi-squared test will be used to test for differences between the young-onset versus (vs.) later-onset cohorts for each polymorphism variant or mutation genotype, with odds ratio and 95% confidence intervals as estimates of relative risk. A tree-based statistical approach using classification and regression tree analysis segregating study versus reference cohorts will be used. Genotypes will be coded and analyzed for the additive, dominant, recessive, or codominant models. | Up to 5 years | |
Primary | Treatments received including surgical, systemic, and/or radiation treatments | Will be compared between the young and the older cohorts by using the Wilcoxon rank-sum test for continuous variables and Chi-squared or Fisher's exact tests for categorical variables as appropriate. | Up to 5 years | |
Primary | Degree of pathologic response to neoadjuvant chemoradiation in patients who received surgical, systemic, and/or radiation treatments | Will be compared between the young and the older cohorts by using the Wilcoxon rank-sum test for continuous variables and Chi-squared or Fisher's exact tests for categorical variables as appropriate. | Up to 5 years | |
Primary | Overall response | Will be compared between the young and the older cohorts by using the Wilcoxon rank-sum test for continuous variables and Chi-squared or Fisher's exact tests for categorical variables as appropriate. | Up to 5 years | |
Primary | Progression free survival | Will be calculated. Will use Kaplan-Meier analysis to characterize the shapes of the survival curves according to normal or variant genotypes and Cox proportional hazards modeling to evaluate the association of variant genotypes, allowing for covariates such as age and stage that may vary according to genotypes and need to be controlled for evaluate evidence for an independent effect of genotype on survival or time to relapse. | Up to 3 years | |
Primary | Overall survival | Will be calculated. Will use Kaplan-Meier analysis to characterize the shapes of the survival curves according to normal or variant genotypes and Cox proportional hazards modeling to evaluate the association of variant genotypes, allowing for covariates such as age and stage that may vary according to genotypes and need to be controlled for evaluate evidence for an independent effect of genotype on survival or time to relapse. | Up to 5 years | |
Primary | Quality of Life in Adult Cancer Survivors (QLACS) scores | Standard scoring menu for the QLACS will be followed to obtain domain and overall scores for the QLACS. Scores will be compared between the young and older cohorts using Wilcoxon rank sum test, and the p-values will be adjusted for multiple comparisons. Mixed effects models will be constructed to analyze changes over time. In secondary analyses, quality of life scores will be stratified by disease stage, site and status. Responder bias will be assessed by comparing responders vs. non-responders for patient-, disease-, and treatment-related factors. | Up to 5 years | |
Primary | Adherence score | For the survivorship care questionnaire, a summation "adherence score" will be calculated for each patient in terms of whether guideline recommended survivorship care was received by the patient. The "adherence scores" will be compared between the young vs. older cohorts using Wilcoxon rank sum test. | Up to 5 years |
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