NCT06610097

Brief Summary

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.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
30

participants targeted

Target at below P25 for not_applicable breast-cancer

Timeline
2mo left

Started Mar 2025

Shorter than P25 for not_applicable breast-cancer

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress89%
Mar 2025Jun 2026

First Submitted

Initial submission to the registry

September 13, 2024

Completed
11 days until next milestone

First Posted

Study publicly available on registry

September 24, 2024

Completed
5 months until next milestone

Study Start

First participant enrolled

March 7, 2025

Completed
1.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2026

Last Updated

April 23, 2025

Status Verified

April 1, 2025

Enrollment Period

1.3 years

First QC Date

September 13, 2024

Last Update Submit

April 21, 2025

Conditions

Keywords

gut microbiometriple-negative breast cancerhigh fiber dietimmunotherapy

Outcome Measures

Primary Outcomes (1)

  • Stool microbiome 16S bacterial species and diversity

    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 Outcomes (7)

  • Dietary intake - 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

    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.

    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

    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

    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.

  • +2 more secondary outcomes

Other Outcomes (1)

  • Tumor gene expression analysis using GeoMx spatial transcriptional profiling

    1 year

Study Arms (2)

Educational Handout

NO INTERVENTION

Participants will receive usual standard of care for early-stage triple negative breast cancer and an educational handout on increasing dietary fiber.

High Fiber Dietary Counseling

EXPERIMENTAL

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.

Other: Nutritional Counseling

Interventions

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.

High Fiber Dietary Counseling

Eligibility Criteria

Age18 Years - 100 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • 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

You may not qualify if:

  • Prebiotic and/or probiotic use prior to and during the study

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Scripps Clinic

La Jolla, California, 92037, United States

RECRUITING

Related Publications (10)

  • 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.

    PMID: 26269668BACKGROUND
  • 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.

    PMID: 36446139BACKGROUND
  • 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.

    PMID: 36428677BACKGROUND
  • 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.

    PMID: 37539732BACKGROUND
  • 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.

    PMID: 34941392BACKGROUND
  • 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.

    PMID: 32101663BACKGROUND
  • 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.

    PMID: 28490673BACKGROUND
  • 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.

    PMID: 8445433BACKGROUND
  • 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.

    PMID: 34957939BACKGROUND
  • 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.

    PMID: 32833508BACKGROUND

MeSH Terms

Conditions

Breast NeoplasmsTriple Negative Breast Neoplasms

Interventions

Nutrition Assessment

Condition Hierarchy (Ancestors)

Neoplasms by SiteNeoplasmsBreast DiseasesSkin DiseasesSkin and Connective Tissue Diseases

Intervention Hierarchy (Ancestors)

Data CollectionEpidemiologic MethodsInvestigative TechniquesHealth Care Evaluation MechanismsQuality of Health CareHealth Care Quality, Access, and EvaluationEpidemiologic MeasurementsPublic HealthEnvironment and Public Health

Study Officials

  • Lee Hong, MD, PhD

    Scripps Clinic

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
BASIC SCIENCE
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

September 13, 2024

First Posted

September 24, 2024

Study Start

March 7, 2025

Primary Completion (Estimated)

June 30, 2026

Study Completion (Estimated)

June 30, 2026

Last Updated

April 23, 2025

Record last verified: 2025-04

Data Sharing

IPD Sharing
Will not share

Locations