Comprehensive Lifestyle Change To Prevent Breast Cancer
![]() |
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Know the risks and potential benefits of clinical studies and talk to your health care provider before participating. Read our disclaimer for details. |
ClinicalTrials.gov Identifier: NCT03448003 |
Recruitment Status :
Recruiting
First Posted : February 27, 2018
Last Update Posted : June 22, 2022
|
- Study Details
- Tabular View
- No Results Posted
- Disclaimer
- How to Read a Study Record
Condition or disease | Intervention/treatment | Phase |
---|---|---|
Premenopausal | Other: Cancer Prevention Other: Questionnaire Administration | Not Applicable |
PRIMARY OBJECTIVES:
I. Assess the feasibility of a randomized controlled trial involving a mobile, standardized, comprehensive integrative oncology (IO) prevention program.
SECONDARY OBJECTIVES:
I. Compare group differences over time in biological pathways including: immune function, gut microbiome, endocrine function, insulin and glucose metabolism, inflammation, other cancer-related pathways (from peripheral blood), antioxidant capacity, and nutrient levels.
II. Determine whether the IO group has improved patient reported outcomes over time including: quality of life, sleep disturbances, aspects of mental health, and psychosocial measures including: mindfulness, social support, and measures of positive growth.
III. Compare group differences over time in dietary patterns, fitness levels, percent body fat, and anthropometrics.
OUTLINE: Patients are randomized into 1 of 2 groups.
GROUP I: Patients attend IO prevention program consisting of 1-2 physical activity, nutrition and diet, and mind-body practice sessions over 60 minutes weekly for 12 weeks. Patients also attend a behavioral counseling session once weekly for up to 26 weeks. Patients complete exercises over 30-60 minutes 3-5 times weekly for 12 weeks.
GROUP II: Patients receive no intervention. After 26 weeks, patients may crossover to Group I.
After completion of study, patients are followed up at 26 weeks and 1 year.
Study Type : | Interventional (Clinical Trial) |
Estimated Enrollment : | 60 participants |
Allocation: | Randomized |
Intervention Model: | Parallel Assignment |
Masking: | None (Open Label) |
Primary Purpose: | Prevention |
Official Title: | Comprehensive Lifestyle Change to Prevent Breast Cancer: A Feasibility Trial |
Actual Study Start Date : | April 4, 2019 |
Estimated Primary Completion Date : | September 1, 2022 |
Estimated Study Completion Date : | September 1, 2022 |

Arm | Intervention/treatment |
---|---|
Experimental: Group I (IO prevention program)
Patients attend IO prevention program consisting of 1-2 physical activity, nutrition and diet, and mind-body practice sessions over 60 minutes weekly for 12 weeks. Patients also attend a behavioral counseling session once weekly for up to 26 weeks. Patients complete exercises over 30-60 minutes 3-5 times weekly for 12 weeks.
|
Other: Cancer Prevention
Attend IO prevention program Other: Questionnaire Administration Ancillary studies |
Active Comparator: Group II (no intervention)
Patients receive no intervention. After 26 weeks, patients may crossover to Group I.
|
Other: Questionnaire Administration
Ancillary studies |
- Consent rate [ Time Frame: Up to 1 year ]Will calculate the rates, frequencies, and 90% confidence intervals (CIs) of means by group, as well as for the differences between intervention groups as applicable. Will also examine demographic factors such as age, marital status, number of children, and employment status as they related to feasibility in terms of consent, adherence to the intervention, and retention in the study.
- Treatment group compliance rate [ Time Frame: Up to 1 year ]Will be defined as attending at least 50% of sessions during the intervention delivery weeks (first 26 weeks) in the integrative oncology (IO) group. Will calculate the rates, frequencies, and 90% CIs of means by group, as well as for the differences between intervention groups as applicable. Will also examine demographic factors such as age, marital status, number of children, and employment status as they related to feasibility in terms of consent, adherence to the intervention, and retention in the study.
- Retention rate [ Time Frame: Up to 1 year ]Will calculate the rates, frequencies, and 90% CIs of means by group, as well as for the differences between intervention groups as applicable. Will also examine demographic factors such as age, marital status, number of children, and employment status as they related to feasibility in terms of consent, adherence to the intervention, and retention in the study.
- Group differences over time in biological pathways [ Time Frame: Up to 1 year ]Will first conduct extensive descriptive analyses on the data collected at baseline and at each follow-up. Descriptive statistics including 90% CIs will be computed for the relevant measures. Will examine distribution characteristics of the variables using box plots, histograms, scatter plots, and the Kolmogorov-Smirnov test of normality where appropriate. Distribution assumptions will be evaluated, and if indicated, normalizing transformations or robust procedures will be used. Will evaluate bivariate associations between the outcome measures and selected demographic and medical variables, including age, ethnicity, body mass index, and cancer history using Pearson product-moment correlation coefficients, chi-squared tests, or other methods where appropriate. Will use generalized linear mixed model regression (GLMM). Separate sets of analyses will be conducted for each criterion variable.
- Group differences over time in dietary patterns [ Time Frame: Up to 1 year ]Will first conduct extensive descriptive analyses on the data collected at baseline and at each follow-up. Descriptive statistics including 90% CIs will be computed for the relevant measures. Will examine distribution characteristics of the variables using box plots, histograms, scatter plots, and the Kolmogorov-Smirnov test of normality where appropriate. Distribution assumptions will be evaluated, and if indicated, normalizing transformations or robust procedures will be used. Will evaluate bivariate associations between the outcome measures and selected demographic and medical variables, including age, ethnicity, body mass index, and cancer history using Pearson product-moment correlation coefficients, chi-squared tests, or other methods where appropriate. Will use GLMM. Separate sets of analyses will be conducted for each criterion variable.
- Group differences over time in fitness levels [ Time Frame: Up to 1 year ]Will first conduct extensive descriptive analyses on the data collected at baseline and at each follow-up. Descriptive statistics including 90% CIs will be computed for the relevant measures. Will examine distribution characteristics of the variables using box plots, histograms, scatter plots, and the Kolmogorov-Smirnov test of normality where appropriate. Distribution assumptions will be evaluated, and if indicated, normalizing transformations or robust procedures will be used. Will evaluate bivariate associations between the outcome measures and selected demographic and medical variables, including age, ethnicity, body mass index, and cancer history using Pearson product-moment correlation coefficients, chi-squared tests, or other methods where appropriate. Will use GLMM. Separate sets of analyses will be conducted for each criterion variable.
- Group differences over time in percent body fat [ Time Frame: Up to 1 year ]Will first conduct extensive descriptive analyses on the data collected at baseline and at each follow-up. Descriptive statistics including 90% CIs will be computed for the relevant measures. Will examine distribution characteristics of the variables using box plots, histograms, scatter plots, and the Kolmogorov-Smirnov test of normality where appropriate. Distribution assumptions will be evaluated, and if indicated, normalizing transformations or robust procedures will be used. Will evaluate bivariate associations between the outcome measures and selected demographic and medical variables, including age, ethnicity, body mass index, and cancer history using Pearson product-moment correlation coefficients, chi-squared tests, or other methods where appropriate. Will use GLMM. Separate sets of analyses will be conducted for each criterion variable.
- Group differences over time in anthropometrics [ Time Frame: Up to 1 year ]Will first conduct extensive descriptive analyses on the data collected at baseline and at each follow-up. Descriptive statistics including 90% CIs will be computed for the relevant measures. Will examine distribution characteristics of the variables using box plots, histograms, scatter plots, and the Kolmogorov-Smirnov test of normality where appropriate. Distribution assumptions will be evaluated, and if indicated, normalizing transformations or robust procedures will be used. Will evaluate bivariate associations between the outcome measures and selected demographic and medical variables, including age, ethnicity, body mass index, and cancer history using Pearson product-moment correlation coefficients, chi-squared tests, or other methods where appropriate. Will use GLMM. Separate sets of analyses will be conducted for each criterion variable.
- Gut microbiome [ Time Frame: Up to 1 year ]Sequence processing and analysis will be performed using specific software for comparison and analysis of microbial communities.

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.
Ages Eligible for Study: | 18 Years and older (Adult, Older Adult) |
Sexes Eligible for Study: | Female |
Accepts Healthy Volunteers: | Yes |
Inclusion Criteria:
- Able to read, write, and speak English
- Premenopausal
- A body mass index (BMI) >= 25
- Have intact breasts and ovaries
- Able to provide informed consent to participate in the study
- Meet all the following criteria related to lifestyle: a) consume less than 3 servings of vegetables (excluding any fried servings) and 1 serving of fruit (not including juice)/day; b) engage in less than 150 minutes moderate/vigorous intensity activity per week, defined as anything that causes small increases in breathing or heart rate for a sustained amount of time (e.g., brisk walking, bicycling); c) engage in a mind-body practice less once per week
- Able mentally and physically to participate in interventions in this study (Note: If there are one or more positive responses to the Physical Activity Readiness Questionnaire [PARQ], then a physician-release for exercise is required prior to obtaining consent)
- Access to internet connection
- Able to come to University of Texas (UT) MD Anderson for the orientation and assessment sessions
Exclusion Criteria:
- Any personal history of cancer, including ductal carcinoma in situ (DCIS) and not including non-melanoma skin cancers
- Any major thought disorder (e.g., schizophrenia, dementia)
- Communication barriers (e.g. hard of hearing)
- Poorly or uncontrolled diabetes in the opinion of the physician(s)
- Being pregnant or planning on becoming pregnant within the next year
- Contemplating any new pharmacologic/hormonal or prophylactic surgical intervention for breast cancer prevention within the next year (Note: Individuals taking tamoxifen, arimidex or other hormonal prevention strategies at time of consent will be eligible)

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03448003
Contact: Lorenzo Cohen, PHD | 713-745-2668 | lcohen@mdanderson.org |
United States, Texas | |
M D Anderson Cancer Center | Recruiting |
Houston, Texas, United States, 77030 | |
Contact: Lorenzo Cohen 713-745-2668 | |
Principal Investigator: Lorenzo Cohen |
Principal Investigator: | Lorenzo Cohen | M.D. Anderson Cancer Center |
Responsible Party: | M.D. Anderson Cancer Center |
ClinicalTrials.gov Identifier: | NCT03448003 |
Other Study ID Numbers: |
2017-0479 NCI-2018-00915 ( Registry Identifier: CTRP (Clinical Trial Reporting Program) ) 2017-0479 ( Other Identifier: M D Anderson Cancer Center ) |
First Posted: | February 27, 2018 Key Record Dates |
Last Update Posted: | June 22, 2022 |
Last Verified: | June 2022 |
Studies a U.S. FDA-regulated Drug Product: | No |
Studies a U.S. FDA-regulated Device Product: | No |