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| Name | Class |
|---|---|
| Weizmann Institute of Science | OTHER |
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The Breast Cancer Personalized Nutrition (BREACPNT) study will evaluate the effect of a microbiome based personalized diet intervention on control of weight gain, glycemic response, disease outcome and various biomarkers in hormone receptor early breast cancer patients receiving adjuvant endocrine treatment.
Weight gain is a common incident in breast cancer survivors. As many as 50-96% of women experience weight gain during treatment. Endocrine treatment was identified as a risk factor for weight gain in several studies. Hence, weight management for breast cancer survivors is important for increasing adherence to therapy and lowering recurrence risk.
The essential role of the gut microbiota in modulating immune and metabolic functions in health and disease is increasingly recognized. Particularly in breast cancer (BC), diet plays an important role in creating a microbiome environment involved in estrogens metabolism. The microbiome directly affects the body's response to food.
The Personalized Nutrition Project, conducted in the Weizmann Institute of Science, showed that individuals vary greatly in their glycemic response to the same food, influenced by the involvement of functional microbial pathways. This study yielded an algorithm capable of accurately predicting personalized postprandial glycemic response (PPGR) to arbitrary meals. These results suggest that individually tailored dietary interventions help maintain normal blood glucose levels and influence microbiome diversity, which, in turn, can control weight changes.
In this phase 2 randomized trial, 200 Hormone receptor (HR) positive breast cancer patients, eligible for adjuvant endocrine therapy will be recruited to the study. Upon recruitment, subjects will provide a stool sample for microbiome analysis and will undergo continuous glucose monitoring for 2 weeks. Thereafter, patients will be randomly assigned in a 1:1 ratio to receive a personalized diet recommendation or a standard low-fat diet for 6 months. The algorithm is based on patients' microbiome analyses and other blood tests. Patient clinical records will be followed 2-3 times yearly for 5 years for DFS and BC recurrence.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Personalized algorithm-based diet | Experimental | The intervention arm will be an 'algorithm-based' arm in which patients will receive personally tailored dietary recommendations, based on their microbiome, and other clinical data such as blood tests and lifestyle features. |
|
| standard Mediterranean low-fat diet | Active Comparator | The control arm will receive nutritional recommendations according to the standard Israeli dietary approach Mediterranean-style low-fat diet. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Nutrition intervention | Other | The diet recommendations will be provided by a certified dietitian. Participants will be asked to document their food intake and daily activities including exercise and sleep using a dedicated smartphone app throughout the intervention period. |
| Measure | Description | Time Frame |
|---|---|---|
| To evaluate the efficacy of a personalized diet compared to a standard low fat diet to control body mass as measured by changes in body mass. | Body weight changes will be defined as the net body weight gained/lost | 6 months intervention period. |
| Measure | Description | Time Frame |
|---|---|---|
| To evaluate the efficacy of the personalized diet compared to a standard low fat diet to control glycemic response. | glycemic response control measured by the area under the glucose curve (AUC) during continuous glucose monitoring (CGM) period. | 6 months intervention period. |
| Measure | Description | Time Frame |
|---|---|---|
| Evaluate disease outcome as measured by disease free survival in study subjects. | Disease free survival (DFS), years | 5 years |
| To investigate microbiome composition and modulation during the diet intervention period and assess if there are differences in modulations between the personalized diets as compared to the standard diet |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Gal-Yam, MD | Contact | 972-3-5302988 | Einav.NiliGal-Yam@sheba.health.gov.il |
| Name | Affiliation | Role |
|---|---|---|
| Gal-Yam, MD | Sheba Medical Center | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Sheba Medical Center | Recruiting | Ramat Gan | Israel |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26590418 | Background | Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalova L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015 Nov 19;163(5):1079-1094. doi: 10.1016/j.cell.2015.11.001. | |
| 27342454 |
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De-identified individual participant data (IPD) and applicable supporting clinical trial documents may be available upon request .
12 months after publication
Formal request from qualified scientific and medical researchers on IPD and clinical study documents
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| ID | Term |
|---|---|
| D001943 | Breast Neoplasms |
| D015430 | Weight Gain |
| ID | Term |
|---|---|
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D001941 | Breast Diseases |
| D012871 | Skin Diseases |
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| ID | Term |
|---|---|
| D004035 | Diet Therapy |
| ID | Term |
|---|---|
| D044623 | Nutrition Therapy |
| D013812 | Therapeutics |
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changes in microbiome compositions |
| 6 months intervention period. |
| Background |
| Nyrop KA, Williams GR, Muss HB, Shachar SS. Weight gain during adjuvant endocrine treatment for early-stage breast cancer: What is the evidence? Breast Cancer Res Treat. 2016 Jul;158(2):203-17. doi: 10.1007/s10549-016-3874-0. Epub 2016 Jun 24. |
| 36410828 | Derived | Rein MS, Dadiani M, Godneva A, Bakalenik-Gavry M, Morzaev-Sulzbach D, Vachnish Y, Kolobkov D, Lotan-Pompan M, Weinberger A, Segal E, Gal-Yam EN. BREAst Cancer Personalised NuTrition (BREACPNT): dietary intervention in breast cancer survivors treated with endocrine therapy - a protocol for a randomised clinical trial. BMJ Open. 2022 Nov 21;12(11):e062498. doi: 10.1136/bmjopen-2022-062498. |
| D017437 |
| Skin and Connective Tissue Diseases |
| D001836 | Body Weight Changes |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |