Characterization and Clinical Impact of the Gut Microbiota in Lymphoma

August 7, 2024 updated by: Lars Møller Pedersen

Characterization and Clinical Impact of the Gut Microbiota in Diffuse Large B-cell Lymphoma Patients

The study is a prospective observational single-center cohort study which compare the gut microbiome of newly diagnosed Diffuse Large B-cell Lymphoma patients with the gut microbiome of healthy controls. Furthermore the impact of lymphoma treatment, immune phenotypes, cytokine profiles, metabolomics, inflammation, driver mutations, comorbidity, body composition and lifestyle on the microbiome is also investigated

Study Overview

Status

Recruiting

Intervention / Treatment

Detailed Description

Microbiota refers to an ecological community of commensal, symbiotic and pathogenic microorganisms that colonize the various compartments within the human body including the gastrointestinal tract. The composition has been shown to play an important role in the pathophysiology of many diseases as well as influence host homeostatic processes such as regulation of metabolic processes, defense against pathogens, immune system development, regulation of the immune response and inflammation. However, the connection between the gut microbiota and lymphoma remain poorly understood.

The purpose of this study is to evaluate the composition and diversity of the gut microbiome in a large homogeneous group of patients with newly diagnosed and treatment-naive Diffuse Large B-cell Lymphoma (DLBCL). The investigators aim to identify the relationship between the intestinal microbiota, clinical and molecular subtypes of DLBCL and outcome of the disease. The association between nutrition, physical activity, body composition, toxicity to the antineoplastic therapy, infections, use of antibiotics, comorbidity and tumor genetics versus gut microbiota composition and diversity is also explored.

The project is carried out in collaboration between clinical departments, institutes and laboratories with expertise in microbiology, hematology, pathology, nutrition, molecular biology, immunology and bioinformatics.

Hypothesis of the study are:

  1. Patients with DLBCL have distinct baseline microbiota signatures that differ from healthy subjects.
  2. Significant changes in the microbiota composition and diversity can be identified during and after treatment (immunochemotherapy) of DLBCL.
  3. Lymphoma response and outcome is affected by the composition and diversity of the DLBCL microbiota.
  4. The intestinal microbiota changes towards a microbiota more like the microbiota of healthy controls in patients who remain in lymphoma remission one year after completion of therapy.
  5. Distinct DLBCL microbiota profiles are associated with treatment-related toxicity.
  6. The intestinal microbiota affects the risk of infections (clinically and/or microbiologically documented).
  7. The intestinal microbiota is affected using antibiotics both as prophylaxis and treatment of infections.
  8. The DLBCL microbiota depends on the dietary intake, smoking, physical activity and the body composition.
  9. Distinct intestinal microbiota signatures can be associated with molecular subtypes of DLBCL (or vice versa)
  10. The JAK2V617F, TET2, DNMT3A and ASXL1 mutations affect the intestinal microbiota signature and are associated with comorbidity and outcome in DLBCL
  11. There is a vicious circle between intestinal dysbiosis and lymphoma with the crosstalk between the gut microbiota and the cancer being expressed as alterations in the profile of cytokines, chemokines and growth factors; an immune response reflected by immunophenotypic profiles of peripheral blood mononuclear cells; and characteristic metabolite signatures in the blood.

Study Type

Observational

Enrollment (Estimated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Zealand
      • Roskilde, Zealand, Denmark, 4000

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

The study will include two different cohorts:

A: Newly diagnosed and treatment-naïve DLBCL patients

B: A healthy control cohort

Description

Inclusion Criteria for the DLBCL cohort:

  • WHO 2022 classified newly diagnosed and treatment-naïve large B-cell lymphoma (DLBCL) belonging to one of the following entities:
  • Diffuse large B-cell lymphoma, including transformation from an indolent lymphoma
  • Follicular lymphoma grade 3B
  • T-cell/histiocyte-rich LBCL
  • Primary cutaneous DLBCL, leg type
  • EBV-positive DLBCL, NOS
  • Primary mediastinal LBCL
  • High grade B-cell lymphoma with MYC/BCL2 rearrangement
  • The patient is a candidate for R-CHOP-like first-line treatment
  • Staging by PET available before treatment initiation
  • Age ≥18 years
  • Written informed consent

Exclusion Criteria for the DLBCL cohort:

  • Pregnancy
  • Psychiatric illness or condition which could interfere with their ability to understand the requirements of the study
  • Clinical signs of uncontrolled serious infection
  • Clinical gastrointestinal lymphoma involvement
  • Other significant gastrointestinal comorbidities
  • Any other prior malignancy than non-melanoma skin cancer or stage 0 (in situ), cervical carcinoma, unless treated with curative intent, and without relapse for 2 years, or low-grade prostate cancer, not in need of treatment
  • Ileostomy
  • CNS involvement at diagnosis
  • Severe cardiac disease: NYHA grade 3-4
  • Impaired liver (transaminases > 3 x normal upper limit or bilirubin > 1.5 x normal upper limit, unless due to Gilbert´s syndrome) or renal (GFR<30ml/min) function not caused by lymphoma

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
DLBCL cohort

Interventions for the DLBCL cohort are:

  • Fecal samples
  • Blood samples
  • Bioelectrical impedance analyses
  • Filling in questionnaires

All other procedures will be in accordance with local and national guidelines corresponding to clinical standard care.

Analysis of microbiome, mutations, alterations in body composition and lifestyle
Other Names:
  • Questionnaires
  • Blood samples
  • Bioelectrical impedance analysis
Healthy control cohort

The control group applied in the current study is based on the Danish General Suburban Population Study (GESUS). The control subjects are selected from the GESUS cohort and matched according to age and gender.

Serial stool samples are planned in a subset of the control cohort with sampling time points corresponding to the DLBCL cohort. The sample material is handled and stored the same way as for the DLBCL cohort.

Analysis of microbiome, mutations, alterations in body composition and lifestyle
Other Names:
  • Questionnaires
  • Blood samples
  • Bioelectrical impedance analysis

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Intestinal microbiota baseline characterization
Time Frame: 1.5 years
Assessment using amplicon-based sequencing of ribosomal (r)RNA genes
1.5 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Intestinal microbiota characterization at mid-, post-treatment and at follow up
Time Frame: 2.5 years
Assessment using amplicon-based sequencing of ribosomal (r)RNA genes
2.5 years
Assessment of habitual diet
Time Frame: 2.5 years
Food frequency questionnaire (FFQ)
2.5 years
Assessment of energy and macronutrient intake
Time Frame: 2.5 years
24h dietary recalls
2.5 years
Assessment of physical activity
Time Frame: 2.5 years
International physical activity questionnaire (IPAQ)
2.5 years
Body composition
Time Frame: 2.5 years
Body composition according to bioelectrical impedance analysis (BIA) using BioScan touch i8 - IVF version
2.5 years
Smoking
Time Frame: 2.5 years
Packages (baseline lifestyle questionnaire)
2.5 years
Alcohol intake
Time Frame: 2.5 years
Units (baseline lifestyle questionnaire)
2.5 years
Treatment-related toxicity
Time Frame: 1.5 years
Treatment-related toxicity (CTCAE criteria)
1.5 years
Antibiotics
Time Frame: 1.5 years
Use of any type of prophylactic and therapeutic antibiotics during treatment (baseline lifestyle questionnaire)
1.5 years
Statins
Time Frame: 1.5 years
Use of any type of statins during treatment registered in the Shared Medication Record (FMK)
1.5 years
Medication
Time Frame: 1.5 years
Use of any type of medication registered in the Shared Medication Record (FMK)
1.5 years
Infections
Time Frame: 1.5 years
Clinical infections during treatment
1.5 years
Lymphoma response
Time Frame: 1.5 years
Lymphoma response after completion of first line treatment (Lugano criteria)
1.5 years
Molecular signatures
Time Frame: 1.5 years
Molecular signatures in standard clinical practice according to Hans classification (cell of origin (COO))
1.5 years
Chromosome abnormalities
Time Frame: 1.5 years
Molecular signatures in standard clinical practice (fluorescent in situ hybridization (FISH))
1.5 years
Mutations
Time Frame: 1.5 years
JAK2V617F, TET2, DNMT3A and ASXL1 mutation analyses (%VAF)
1.5 years
Cytokine profiles
Time Frame: 1.5 years
Magnetic bead-based assays
1.5 years
Metabolite signatures
Time Frame: 1.5 years
Metabolomic profiling by a combination of GC and LC coupled with MS
1.5 years
Peripheral blood mononuclear cell (PBMC) profiles
Time Frame: 1.5 years
PBMC profiles according to flow cytometry
1.5 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Christiane Sophie Staxen, MSc, Zealand University Hospital - Roskilde

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 6, 2024

Primary Completion (Estimated)

July 1, 2025

Study Completion (Estimated)

July 1, 2026

Study Registration Dates

First Submitted

November 15, 2023

First Submitted That Met QC Criteria

November 30, 2023

First Posted (Actual)

December 8, 2023

Study Record Updates

Last Update Posted (Actual)

August 9, 2024

Last Update Submitted That Met QC Criteria

August 7, 2024

Last Verified

August 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

There is not a plan to make IPD available.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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.

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