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NCT Number: NCT01647776

Screening and Risk Factors of Colon Neoplasia

The investigators propose a screening population-based study to systematically evaluate the accuracy and clinical relevance of sDNA testing as a potential alternative to colonoscopy screening. In addition, the investigators propose a genetic epidemiologic study of the relation between colon polyps, an established precursor of colon cancer, and two factors that may influence risk for colon cancer: candidate genes and diet.

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Key information

About this study

Colorectal carcinoma is currently the second most common fatal cancer in the United States, and is largely preventable through the use of screening in the asymptomatic population. Although colonoscopy is considered to be the most accurate 'gold standard' screening test, there are a significant proportion of eligible patients who decline colonoscopy or in whom colonoscopy is not readily available. More recently, testing for aberrant molecular/genetic markers in stool DNA (sDNA) is emerging as a promising alternative to colonoscopy, and some professional society guidelines have endorsed the use of sDNA testing in the early detection of colorectal cancer. However, despite some guidelines that endorse sDNA testing primarily for the detection of colorectal cancer, data on the efficacy of sDNA testing for advanced adenomas, and hence prevention of colorectal cancer, are limited.

Colon carcinogenesis is a multifactorial and multistep process that involves both genetic and environmental influences. Diet clearly plays an important role. However, despite extensive research, there has been limited success in identifying such specific dietary and nutritional factors. In particular, a number of within-population studies, including several randomized trials, have yielded conflicting results and cast serious doubt on the hypothesized central role of dietary fat and fiber in colon carcinogenesis. In contrast, there is increasing evidence relating colon neoplasia to obesity, type 2 diabetes and related metabolic abnormalities. These results, together with the marked and consistent similarities in the dietary and lifestyle risk factors for type 2 diabetes and colon neoplasia have led to the notion that insulin resistance resulting from energy imbalance (excess energy intake, physical inactivity, and obesity) may be the underlying link between these two entities. Indeed, the insulin resistance-colon neoplasia hypothesis could account for many of the dietary and lifestyle risk factors of colon neoplasia and for its high incidence in Western countries. The fact that the incidences of obesity, insulin resistance syndrome, and type 2 diabetes are escalating at epidemic pace in the Western societies makes the exploration of the insulin resistance-colon neoplasia hypothesis a subject of pressing priority.

A Food Frequency Questionnaire (FFQ), a Meat Preparation Questionnaire (MPQ), and a Physical Activity Questionnaire (PAQ), all developed at the University of Arizona Cancer Center will be used to collect dietary and physical activity data.The FFQ, MPQ and PAQ questionnaires will be self-administered by each subject according to detailed written instructions, and they are mailed to the participant with the consent forms. Subjects will be asked to donate whole blood and urine samples on the day of routine colonoscopy exams. These samples will be looked at for disease markers. Stool samples will be collected to evaluate its use at detecting colon polyps using the sDNA Test and 2 FIT tests (fecal immunochemical test).

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • patients undergoing routine colonoscopy at University Hospitals, Cleveland Ohio

Exclusion criteria

  • Unable to give written consents
  • Unable to fill the questionnaires
  • A history of polyps within the past 10 years (except hyperplastic polyps)
  • Family history of Familial Adenomatous Polyposis (FAP) or Hereditary Non-Polyposis Colorectal Cancer (HNPCC)
  • Personal history of inflammatory bowel disease
  • Personal diagnosis of any cancer, with the exception of non-melanoma skin cancer
  • Any major colon surgeries (e.g. resectioning)

Treatment and study plan

Stool DNA Test

Other

Stool DNA test is done prior to the colonoscopy.

Other names: sDNA

biopsies of rectal and colon mucosa

Procedure

During the standard of care colonoscopy biopsies of rectal and colon mucosa will be taken for analysis of 15-PGDH pathway factors [levels of prostaglandin E2 (PG E2), and mRNA for 15-PGDH, COX-1 and COX-2 expression] as markers of risk of developing adenoma.

questionnaires

Other

A Food Frequency Questionnaire (FFQ), a Meat Preparation Questionnaire (MPQ), and a Physical Activity Questionnaire (PAQ), all developed at the University of Arizona Cancer Center will be used to collect dietary and physical activity data. Risk Factor Questionnaire (RFQ) developed by the University of Southern California will be used to collect general risk information. Stool (sDNA) test patient satisfaction survey.

Other names: Food Frequency Questionnaire (FFQ), Meat Preparation Questionnaire (MPQ), Physical Activity Questionnaire (PAQ), Risk Factor Questionnaire (RFQ)

Primary outcomes

  1. Stool DNA (sDNA) Feasibility and Compliance

    Time frame: within 12 weeks prior to the colonoscopy

    For this aim, we will recruit a sub-sample of the study participants to perform the sDNA test for aberrantly methylated markers in addition to their colonoscopy to assess willingness to participate, compliance with test protocol and patient satisfaction to determine potential for a larger study to evaluate the effectiveness of this test for detection of colon adenomas.

  2. Efficacy of sDNA testing for the detection of advanced adenomas

    Time frame: prior to the colonoscopy

    For the sDNA test aims, the primary goals are to assess the sensitivity and specificity of sDNA testing for the detection of advanced adenomas, and to compare the performance of the Exact sDNA Panel with that of FIT. The sensitivity and specificity of sDNA and FIT will be estimated based on the concordance and discordance of advanced adenomas detected against that of colonoscopy as the gold standard

Secondary outcomes

  1. Concordance/discordance between tissue and stool DNA aberrant methylation markers

    Time frame: Stool sample within 2 weeks of colonoscopy

    Biopsies of rectal and colon mucosa collected at the beginning of the colonoscopy for analysis of 15-PGDH pathway factors [levels of prostaglandin E2 (PG E2), and mRNA for 15-PGDH, COX-1 and COX-2 expression] as markers of risk of developing adenoma.

  2. Persistence of positive sDNA testing after removal of advanced adenomas

    Time frame: at 12 months after initial colonoscopy

    For this aim we will follow-up participants who have had positive sDNA tests and at least one advanced adenoma removed during colonoscopy. At 12 months after their initial sDNA test and colonoscopy, we will ask them to repeat the sDNA test in addition to colonoscopy recommended by their physician as standard of care.

  3. Assess the frequency of missed or occult colonic and upper gastrointestinal neoplasia in patients with initially normal colonoscopies and persistently positive sDNA testing.

    Time frame: at 12 months after initial colonoscopy

    For this aim we will follow-up participants who have had positive sDNA tests and negative colonoscopy (i.e., no adenomatous polyps observed at initial colonoscopy). At 12 months after their initial sDNA test and colonoscopy, we will ask them to repeat the sDNA test. If this second sDNA test is also positive, the participant will be offered the opportunity to have both a colonoscopy and an upper GI endoscopy (also called esophagogastroduodenoscopy or EGD)

  4. Insulin Resistance Syndrome

    Time frame: at the time of the colonoscopy

    Use latent structural equation models to fully incorporate information on the overall relations among insulin resistance syndrome pathway factors and colon polyps, including both direct and indirect effects as well as interactions between these factors.

  5. Analyses stratified by ethnicity (Caucasians versus African Americans), and gender.

    Time frame: at the time of the colonoscopy

    The analysis by ethnicity is of particular interest in sDNA testing as there is evidence that large right-sided adenomas are more prevalent among African Americans, and this ethnic population is less likely to receive screening colonoscopy as compared to Caucasians. Furthermore, the ability of sDNA and FIT for the detection of nonadvanced adenomas will be evaluated. These lesions will be defined as adenomas that are less than 1 cm in diameter and without evidence of high grade dysplasia.

  6. Examine the impact of candidate gene variants in the insulin-GH-IGF-IRS axis on colon polyps.

    Time frame: at the time of the colonoscopy

    Evaluate whether each of the following candidate gene polymorphisms and their haplotypes are linked to colon polyps: 1) Insulin; 2) Growth Hormone; 3) IGF-1; and 4) IRS-1.

  7. Evaluate the association of dietary patterns, glycemic index (GI) and glycemic load (GL) with colon polyps.

    Time frame: at 12 months

    Conceptually, dietary patterns represent a broader picture of human diet, and thus may be more predictive of disease risk than individual foods or nutrients. In addition, there is growing evidence relating GI and/or GL to risks of obesity, type 2 diabetes as well as colon neoplasia. Therefore, we hypothesize that high dietary GL and/or GI, and/or a Western dietary pattern defined by a diverse array of dietary factors are associated with increased risk of colon polyps.

  8. Synthesize the information on candidate genes and diet by looking at their joint effects on colon polyps

    Time frame: at the time of the colonoscopy

    • investigate their potential joint actions [i.e., gene-diet and gene-gene]; 2) use a latent structural equation modeling approach to comprehensively evaluate these factors' potential direct as well as indirect (mediated by insulin resistance syndrome) impact, on colon polyps.
  9. To investigate the association of activated (phosphorylated) IRS1, AKT and mTOR with colon adenomas.

    Time frame: at the time of the colonoscopy

    We will compare the immunohistochemistry of phosphorylated IRS1, AKT and mTOR in colon adenoma tissues with that in colon tissues from healthy control patients. Investigate the effect of obesity on the activation of the IRS1, AKT and mTOR by stratifying our cases and controls into lean and obese individuals. Evaluate the effects of serum levels of insulin, glucose, and insulin resistance index (HOMA-IR) on the activation of the IRS1, AKT and mTOR in colonic tissue.

Sponsors and collaborators

Lead sponsor

Case Comprehensive Cancer Center

Other

Registry information

Important dates

Study start
2012
Primary completion
2015
Study completion
2016
First posted
Jul 24, 2012
Registry last updated
Feb 9, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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