- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06610097
TNBC Gut Microbiota During Neoadjuvant Treatment
Impacts of Diet, Activity, and Mood on a Dynamic Gut Microbiota During Treatment for Triple-negative Breast Cancer
The gut microbiome is made up of the microbes (such as bacteria, viruses, and other organisms too small to see with the naked eye) that live in the digestive tract and has been shown to be important in metabolizing food, extracting vitamins and nutrients from food, and maintaining a healthy gut lining. The gut microbiome plays an important role in overall health and has been shown to dynamically change in response to early-stage triple-negative breast cancer-directed therapies, which in turn has been associated with worse outcomes. As the gut microbiome can be further modulated with dietary changes during cancer treatment, it is an ideal potential modifiable risk factor in cancer patients. However, due to multiple confounding factors such as dietary intake, mood, and activity, its utility as part of the oncologic clinical assessment remains unclear.
In this prospective randomized controlled study, the investigators propose to recruit up to 30 early-stage TNBC patients to randomize to a personalized nutritional intervention of a high-fiber diet coached by a registered dietician versus educational handout alone during neoadjuvant treatment. The investigators propose to study the gut microbiota through stool sample analysis among early-stage triple-negative breast cancer patients undergoing neoadjuvant (i.e. before surgery) chemotherapy +/- immunotherapy. The investigators will also study how the gut microbiota can be further modulated with a high-fiber diet, and the investigators hypothesize that a high-fiber diet may play a protective role in preserving gut microbial diversity. As part of the nutritional intervention, the investigators propose to administer nutritional counseling with a registered dietitian (RD) to increase fiber intake and tracking performance status, activity, and mood during neoadjuvant treatment. Finally, the investigators propose to survey participants after study completion through one-on-one interviews to determine whether participants experienced improved overall patient satisfaction in supportive care during their treatment.
Study Overview
Status
Intervention / Treatment
Detailed Description
This is a randomized, prospective study with a small group of 30 patients (pilot study). Once participants are enrolled, they will be randomized in a 2:1 ratio of either the nutritional intervention (personalized counseling on increasing fiber intake and maintaining adequate caloric intake during breast cancer treatment) or an educational handout on increasing fiber intake. Randomization will be concealed using a random number generator. Investigators and healthcare providers will not be blinded due to the nature of the intervention itself, but all documentation related to the personalized nutritional intervention will not be part of the participant's electronic medical record. Co-investigators completing the data analysis will be blinded to participants' group assignments.
Consent will be obtained upon enrollment. Variables to be collected as part of the baseline demographics questionnaire include: age, gender, marital status, education level, employment status, annual income, residence (ZIP code), BMI, medications and dose, TNBC stage at diagnosis, and treatment type(s).
Participants will complete: interim medication updates including antibiotic use (Interim Survey), gastrointestinal symptoms using the PROMIS GI symptom assessment, dietary intake (NCI-DSQ) with two 24-hour food logs, performance status (FACT-G Scale), anxiety (GAD-7), and depression (PHQ-9), and physical activity (RAPA). If participants report moderate-severe anxiety and/or depression through the GAD-7 and/or PHQ-9 surveys, respectively, they will be notified by telephone or email to contact their primary care provider or oncologist to seek prompt evaluation. Stool samples will be collected at baseline (pre-treatment), 6-week, 12-week, 18-week, and 24-week timepoints. The 6-week interval period was selected based on expected treatment cycles with dose-dense doxorubicin/cyclophosphamide and Taxol +/- pembrolizumab. This interval was also selected based on the minimum amount of time expected for potential changes in dietary intake and symptoms during treatment. Survey reminders will be sent via the app every 6 weeks and data will be exported to RedCap.
The nutritional intervention for the treatment group -- personalized counseling on increasing fiber intake and maintaining adequate caloric intake during treatment -- will be administered as (1) a 60-minute initial telehealth consultation within the first week of study enrollment, and (2) up to two 30-minute follow-ups throughout the study, ideally the first follow-up within 6 weeks of study enrollment. These sessions will be led by a registered dietitian using cultural awareness and symptom assessment. Session notes will be included in the participants' medical records. Control participants' intervention will be an educational handout on increasing fiber intake. San Diego State University (SDSU) masters students in Exercise and Nutritional Science will assist all participants with completing two 24-hour ASA24 food logs at each timepoint along with other surveys. Nutritional composition reported in 24-hour logs will be analyzed at SDSU using ASA24.
Participants will collect stool samples using the Zymo Research kit, which has previously been shown to be equally efficacious as a larger stool sample (scoop),10 mailed to their home. This kit includes a Fecal Collection Tube, a Feces Catcher, a Biohazard Bag, Gloves, and multi-language instructions. To encourage participation and retention, participants will be given a $40 gift certificate per stool sample with up to $200 total compensation. Participants will mail stool samples to the Scripps Biorepository and processed for storage at -80 degrees C. Once all samples are collected, they will be sent to the Scripps Genomics Core for DNA extraction and 16S sequencing. Sequencing data analysis by the CCBB will include taxonomic classification, abundance tables, diversity analysis (alpha and beta indices), and principal component analysis (PCA) plots. Subset analyses will compare participants with high/low fiber consumption, high/low caloric intake, overweight/not overweight by BMI, and cancer-directed treatment (chemotherapy alone or with immunotherapy).
Survey data will be imported into GraphPad Prism for visualization and analyses. For each survey item collected at all 5 time points, a mixed effects model will be used where the survey item result is the dependent variable, group (control or nutritional intervention) and time point are fixed effects, and participant is treated as a random effect. The mixed effects model uses restricted maximum likelihood estimation to account for missing values. Residuals will be examined to ensure approximation of normality is met. P-values will be reported for each fixed effect (group and time) and the interaction between these effects, reported as time x group.
For TME analysis, up to 3 participants with high-fiber dietary intake who experience pCR and 3 participants with residual disease (i.e. up to 6 total) will be selected based on retrospective chart review, and biopsy samples pre- and post-treatment will be identified through the Department of Pathology. Samples will be further processed and mounted onto slides, each with 1 participant with matched pre- and post-neoadjuvant treatment samples per slide for GeoMx spatial transcriptional profiling of 96 regions of interest (ROIs) through the Scripps Genomics Core. The CCBB will perform statistical analysis to identify signaling pathways and immune cell composition in TNBC.
At the end of the study, participants will be offered participation in a one-on-one session via video conferencing platform (such as Zoom) to provide an opportunity for participants to share in their own words their experiences in the study and in using the survey app. Specifically, participants will be asked to discuss the utility of educational materials provided, ease of navigating the study app and participating in the study, and other feedback that will help medical oncologists and dietitians continuously improve patients' experience during neoadjuvant treatment. Participants who uninstall the CareEvolution app or have not engaged with the app for over 60 days will be disenrolled from the study.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Lee Hong, MD, PhD
- Phone Number: 858-610-1321
- Email: hong.lee@scrippshealth.org
Study Contact Backup
- Name: Thomas Buchholz, MD
- Phone Number: 858-678-7190
- Email: buchholz.thomas@scrippshealth.org
Study Locations
-
-
California
-
La Jolla, California, United States, 92037
- Recruiting
- Scripps Clinic
-
Contact:
- Lee Hong, MD, PhD
- Phone Number: 858-554-8788
- Email: hong.lee@scrippshealth.org
-
Contact:
- Thomas Buchholz, MD
- Email: buchholz.thomas@scrippshealth.org
-
Principal Investigator:
- Lee Hong, MD, PhD
-
Sub-Investigator:
- Jacob New, MD, PhD
-
Sub-Investigator:
- Gagandeep Kaur, DO
-
Sub-Investigator:
- Laura Nicholson, MD, PhD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Diagnosis of early-stage triple-negative breast cancer, not on neoadjuvant systemic therapy at the time of enrollment.
- Age greater than or equal to 18 years and less than 100 years
- English proficiency at or above 8th grade level
- Expected survival greater than or equal to 12 months
Exclusion Criteria:
- Prebiotic and/or probiotic use prior to and during the study
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Educational Handout
Participants will receive usual standard of care for early-stage triple negative breast cancer and an educational handout on increasing dietary fiber.
|
|
|
Experimental: High Fiber Dietary Counseling
Participants will receive usual standard of care for early-stage triple negative breast cancer and personalized nutritional counseling (initial 1 hour session with up to 2 30-minute follow-up sessions) on how to increase dietary fiber.
|
The nutritional intervention for the treatment group -- personalized counseling on increasing fiber intake and maintaining adequate caloric intake during treatment -- will be administered as (1) a 60-minute initial telehealth consultation within the first week of study enrollment, and (2) up to two 30-minute follow-ups throughout the study, ideally the first follow-up within 6 weeks of study enrollment.
These sessions will be led by a registered dietitian using cultural awareness and symptom assessment.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Stool microbiome 16S bacterial species and diversity
Time Frame: From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
Next generation sequencing
|
From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Dietary intake - food categories
Time Frame: From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
As measured on NCI-DSQ which assesses consumption of general food categories
|
From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
|
Activity level as measured on Rapid Assessment of Physical Activity scale
Time Frame: From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
To score RAPA 1, choose the question with the highest score with an affirmative response. Score as (1): I rarely or never do any physical activities. (2): I do some light or moderate physical activities, but not every week. (3): I do some light physical activity every week. (4): I do moderate physical activities every week, but less than 30 minutes a day or 5 days a week. OR I do vigorous physical activities every week, but less than 20 minutes a day or 3 days a week. (5): I do 30 minutes or more a day of moderate physical activities, 5 or more days a week. I do 20 minutes or more a day of vigorous physical activities, 3 or more days a week. To score RAPA 2, score as (1): I do activities to increase muscle strength, such as lifting weights or calisthenics, once a week or more. (2): I do activities to improve flexibility, such as stretching or yoga, once a week or more. (3) Both. (0) Neither. Add RAPA 1 and 2 for total. Min: 1; Max: 8. Higher score indicates greater activity level. |
From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
|
Depression as measured on Patient Health Questionnaire-9 scale.
Time Frame: From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
9-question depression scale with each item scored 0 (not at all) to 3 (nearly every day).
Min: 0; Max: 27.
Higher score indicates greater severity of depression.
|
From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
|
Anxiety as measured on Generalized Anxiety Disorder-7 scale
Time Frame: From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
7-item questionnaire with each item scored 0 for not at all and 3 for nearly every day.
Min: 0; Max: 21.
Higher scores indicate greater severity of anxiety.
|
From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
|
Gastrointestinal symptoms
Time Frame: From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
As measured on Patient Reported Outcomes Measurement Information System (PROMIS) Gastrointestinal (GI) symptom assessment.
This scale assesses 8 domains: gastroesophageal reflux (13 items), disrupted swallowing (7 items), diarrhea (5 items), bowel incontinence/soilage (4 items), nausea and vomiting (4 items), constipation (9 items), belly pain (6 items), and gas/bloat/flatulence (12 items) (16).
All scales are reported in percentiles, among individuals who report that symptom.
All scales are calibrated using an item response theory graded response model and scored on a T-score metric with a mean of 50 and standard deviation (s.d.) of 10 in the US general population.
A higher score denotes more symptoms on that scale.
|
From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
|
Dietary intake - 24hour food log
Time Frame: From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
As measured on Automated Self-Administered Dietary Assessment Tool (ASA24) food logs which documents every food item consumed over 24 hour period.
|
From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
|
Functional assessment as measured on FACT-G scale
Time Frame: From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
The Functional Assessment of Cancer Therapy-General (FACT-G) scale is comprised of 7 items with a 5-point rating scale (0 = Not at all; 1 = A little bit; 2 = Somewhat; 3 = Quite a bit; and 4 = Very much).
Negatively worded items are reverse scored prior to summing so that higher total scores indicate better quality of life.
Min: 0; Max: 35.
|
From date of enrollment and randomization, with collection at 0, 6, 12, 18, and 24 weeks after date of enrollment for up to 24 weeks.
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Tumor gene expression analysis using GeoMx spatial transcriptional profiling
Time Frame: 1 year
|
Up to 3 participants with high-fiber dietary intake who experience pathologic complete response (pCR) and 3 participants with residual disease (i.e. up to 6 total) will be selected based on retrospective chart review and biopsy samples pre- and post-treatment will be identified.
Samples will be further processed and mounted onto slides, each with 1 participant with matched pre- and post-neoadjuvant treatment samples per slide for GeoMx spatial transcriptional profiling of 96 regions of interest (ROIs).
|
1 year
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Lee Hong, MD, PhD, Scripps Clinic
Publications and helpful links
General Publications
- Schmid P, Cortes J, Pusztai L, McArthur H, Kummel S, Bergh J, Denkert C, Park YH, Hui R, Harbeck N, Takahashi M, Foukakis T, Fasching PA, Cardoso F, Untch M, Jia L, Karantza V, Zhao J, Aktan G, Dent R, O'Shaughnessy J; KEYNOTE-522 Investigators. Pembrolizumab for Early Triple-Negative Breast Cancer. N Engl J Med. 2020 Feb 27;382(9):810-821. doi: 10.1056/NEJMoa1910549.
- Cella DF, Tulsky DS, Gray G, Sarafian B, Linn E, Bonomi A, Silberman M, Yellen SB, Winicour P, Brannon J, et al. The Functional Assessment of Cancer Therapy scale: development and validation of the general measure. J Clin Oncol. 1993 Mar;11(3):570-9. doi: 10.1200/JCO.1993.11.3.570.
- Spencer CN, McQuade JL, Gopalakrishnan V, McCulloch JA, Vetizou M, Cogdill AP, Khan MAW, Zhang X, White MG, Peterson CB, Wong MC, Morad G, Rodgers T, Badger JH, Helmink BA, Andrews MC, Rodrigues RR, Morgun A, Kim YS, Roszik J, Hoffman KL, Zheng J, Zhou Y, Medik YB, Kahn LM, Johnson S, Hudgens CW, Wani K, Gaudreau PO, Harris AL, Jamal MA, Baruch EN, Perez-Guijarro E, Day CP, Merlino G, Pazdrak B, Lochmann BS, Szczepaniak-Sloane RA, Arora R, Anderson J, Zobniw CM, Posada E, Sirmans E, Simon J, Haydu LE, Burton EM, Wang L, Dang M, Clise-Dwyer K, Schneider S, Chapman T, Anang NAS, Duncan S, Toker J, Malke JC, Glitza IC, Amaria RN, Tawbi HA, Diab A, Wong MK, Patel SP, Woodman SE, Davies MA, Ross MI, Gershenwald JE, Lee JE, Hwu P, Jensen V, Samuels Y, Straussman R, Ajami NJ, Nelson KC, Nezi L, Petrosino JF, Futreal PA, Lazar AJ, Hu J, Jenq RR, Tetzlaff MT, Yan Y, Garrett WS, Huttenhower C, Sharma P, Watowich SS, Allison JP, Cohen L, Trinchieri G, Daniel CR, Wargo JA. Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response. Science. 2021 Dec 24;374(6575):1632-1640. doi: 10.1126/science.aaz7015. Epub 2021 Dec 23.
- Jandhyala SM, Talukdar R, Subramanyam C, Vuyyuru H, Sasikala M, Nageshwar Reddy D. Role of the normal gut microbiota. World J Gastroenterol. 2015 Aug 7;21(29):8787-803. doi: 10.3748/wjg.v21.i29.8787.
- Thompson FE, Midthune D, Kahle L, Dodd KW. Development and Evaluation of the National Cancer Institute's Dietary Screener Questionnaire Scoring Algorithms. J Nutr. 2017 Jun;147(6):1226-1233. doi: 10.3945/jn.116.246058. Epub 2017 May 10.
- Kok CR, Rose D, Hutkins R. Predicting Personalized Responses to Dietary Fiber Interventions: Opportunities for Modulation of the Gut Microbiome to Improve Health. Annu Rev Food Sci Technol. 2023 Mar 27;14:157-182. doi: 10.1146/annurev-food-060721-015516. Epub 2022 Nov 29.
- Frak M, Grenda A, Krawczyk P, Milanowski J, Kalinka E. Interactions between Dietary Micronutrients, Composition of the Microbiome and Efficacy of Immunotherapy in Cancer Patients. Cancers (Basel). 2022 Nov 14;14(22):5577. doi: 10.3390/cancers14225577.
- Jotshi A, Sukla KK, Haque MM, Bose C, Varma B, Koppiker CB, Joshi S, Mishra R. Exploring the human microbiome - A step forward for precision medicine in breast cancer. Cancer Rep (Hoboken). 2023 Nov;6(11):e1877. doi: 10.1002/cnr2.1877. Epub 2023 Aug 4.
- Hajj-Boutros G, Landry-Duval MA, Comtois AS, Gouspillou G, Karelis AD. Wrist-worn devices for the measurement of heart rate and energy expenditure: A validation study for the Apple Watch 6, Polar Vantage V and Fitbit Sense. Eur J Sport Sci. 2023 Feb;23(2):165-177. doi: 10.1080/17461391.2021.2023656. Epub 2022 Jan 31.
- Kurian SM, Gordon S, Barrick B, Dadlani MN, Fanelli B, Cornell JB, Head SR, Marsh CL, Case J. Feasibility and Comparison Study of Fecal Sample Collection Methods in Healthy Volunteers and Solid Organ Transplant Recipients Using 16S rRNA and Metagenomics Approaches. Biopreserv Biobank. 2020 Oct;18(5):425-440. doi: 10.1089/bio.2020.0032. Epub 2020 Aug 21.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 24-8410
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Breast Cancer
-
Baylor Breast Care CenterRecruitingBreast Cancer | Breast Neoplasm | Triple Negative Breast Cancer | Triple Negative Breast Neoplasms | HER2-positive Breast Cancer | Breast Cancer Stage II | Breast Cancer Female | Breast Cancer Stage III | Estrogen Receptor-positive Breast Cancer | Hormone Receptor-positive Breast Cancer | Breast Cancer InvasiveUnited States
-
Innocrin PharmaceuticalCompletedBreast Cancer | Advanced Breast Cancer | Metastatic Breast Cancer | Triple Negative Breast Cancer | Male Breast Cancer | ER+ Breast Cancer | Cancer of the BreastUnited States
-
Fred Hutchinson Cancer CenterNational Cancer Institute (NCI)CompletedInflammatory Breast Cancer | Male Breast Cancer | Stage IV Breast Cancer | Stage IIIB Breast Cancer | Estrogen Receptor-negative Breast Cancer | Estrogen Receptor-positive Breast Cancer | Progesterone Receptor-negative Breast Cancer | Progesterone Receptor-positive Breast CancerUnited States
-
Northwestern UniversityEisai Inc.UnknownMale Breast Cancer | Stage II Breast Cancer | Stage IIIA Breast Cancer | Stage IIIB Breast Cancer | Triple-negative Breast Cancer | Stage IA Breast Cancer | Stage IB Breast Cancer | Stage IIIC Breast Cancer | Estrogen Receptor-negative Breast Cancer | Progesterone Receptor-negative Breast Cancer | HER2-negative...United States
-
University of Colorado, DenverCompletedStage IV Breast Cancer | Stage II Breast Cancer | Stage IIIA Breast Cancer | Stage IIIB Breast Cancer | Stage IA Breast Cancer | Stage IB Breast Cancer | Stage IIIC Breast CancerUnited States
-
National Cancer Institute (NCI)TerminatedMale Breast Cancer | Stage IV Breast Cancer | Stage IIIA Breast Cancer | Stage IIIB Breast Cancer | Triple-negative Breast Cancer | Stage IIIC Breast Cancer | Recurrent Breast Cancer | Estrogen Receptor-negative Breast Cancer | Progesterone Receptor-negative Breast Cancer | HER2-negative Breast CancerCanada
-
Mayo ClinicMarker Therapeutics, Inc.CompletedHER2-positive Breast Cancer | Male Breast Cancer | Stage II Breast Cancer | Stage IIIA Breast Cancer | Stage IIIB Breast Cancer | Stage IIIC Breast CancerUnited States
-
Rutgers, The State University of New JerseyNational Cancer Institute (NCI); Rutgers Cancer Institute of New JerseyActive, not recruitingStage IIIA Breast Cancer | Stage IIIB Breast Cancer | Triple-negative Breast Cancer | Stage IIA Breast Cancer | Stage IIB Breast Cancer | Stage IIIC Breast Cancer | Estrogen Receptor-negative Breast Cancer | Progesterone Receptor-negative Breast Cancer | HER2-negative Breast CancerUnited States
-
University of Southern CaliforniaNational Cancer Institute (NCI)TerminatedMale Breast Cancer | Stage IV Breast Cancer | Stage II Breast Cancer | Stage IIIA Breast Cancer | Stage IIIB Breast Cancer | Stage IA Breast Cancer | Stage IB Breast Cancer | Stage IIIC Breast Cancer | Recurrent Breast CancerUnited States
-
University of Central FloridaFlorida Department of HealthRecruitingBreast Cancer | Breast Cancer Female | Breast Cancer Diagnosis | Breast Cancer Survivors | Breast Cancer Detection | Breast Cancer AwarenessUnited States
Clinical Trials on Nutritional Counseling
-
King Edward Medical UniversityActive, not recruitingCachexia; Cancer; SarcopeniaPakistan
-
Charite University, Berlin, GermanyCompletedIBS - Irritable Bowel SyndromeGermany
-
Hospital de Clinicas de Porto AlegreActive, not recruitingBinge-Eating Disorder | Cognitive Behavioral Therapy | Transcranial Direct Current StimulationBrazil
-
University of PadovaFondazione Guido Berlucchi; Veneto Institute of Oncology I.O.V.-I.R.C.C.S.Terminated
-
William Carey UniversityUniversity of Mississippi Medical Center; University of Southern MississippiCompletedSpinal Cord InjuriesUnited States
-
Société des Produits Nestlé (SPN)CompletedPicky Eating BehaviorsChina
-
M.D. Anderson Cancer CenterNational Cancer Institute (NCI)CompletedCancer SurvivorUnited States
-
Montefiore Medical CenterRecruiting
-
Vestre Viken Hospital TrustUniversity of OsloRecruitingCardiovascular Diseases | Schizophrenia | Bipolar Disorder | PsychosisNorway
-
Rahma Mohammed Medhat AliCompleted