NCT03234140

Brief Summary

Follicular lymphoma is the second most common adult B-cell lymphoma. The acquisition of the t(14;18) translocation is the genetic hallmark of Follicular lymphoma. However, 50% to 70% of healthy individuals harbor low levels of circulating t(14;18)-positive cells but will never develop Follicular lymphoma. It was observed that individuals who developed Follicular lymphoma showed a higher t(14;18) frequency than controls (Roulland et al., J Clin Oncol 2014). High t(14;18) frequency in blood from healthy individuals could be a predictive biomarker for Follicular lymphoma development. Genetic instability of those t(14;18)+ B-cells as well as failure of the micro-environment to control the proliferation of these cells are proposed mechanisms linking these lymphoma precursors to true lymphoma cells. The prognosis of Follicular lymphoma patients has been significantly improved mainly with the development of anti-CD20 monoclonal antibodies, with a current median overall survival over 15 years. However, this lymphoma remains an incurable disease. The most commonly used tool for prognostication of patients with Follicular lymphoma is the Follicular Lymphoma International Prognostic Index (FLIPI) based on conventional clinical and pathology parameters. Although it has clinical utility, the Follicular Lymphoma International Prognostic Index does not reflect the biologic heterogeneity of Follicular lymphoma. First-degree relatives of Follicular lymphoma had a fourfold increased risk of Follicular lymphoma suggesting a genetic etiology. Using the Genome wide association studies (GWAS) approach on Follicular lymphoma cohorts of 1,565 patients, the project plan to identify new prognostic markers. These markers will then be analyzed to decipher the impact of host genetics on somatic alterations and tumor biology, using public or matched patient data. The investigators also plan to analyze the influence of single-nucleotide polymorphisms on circulating t(14;18) levels in 318 healthy individuals included in EPIC cohort that will develop Follicular lymphoma later on, and assess if these biomarkers are helpful to refine the identification of high-risk Follicular lymphoma individuals.

Trial Health

43
At Risk

Trial Health Score

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

Trial has exceeded expected completion date
Enrollment
1,883

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Nov 2017

Geographic Reach
1 country

1 active site

Status
unknown

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

First Submitted

Initial submission to the registry

July 26, 2017

Completed
5 days until next milestone

First Posted

Study publicly available on registry

July 31, 2017

Completed
3 months until next milestone

Study Start

First participant enrolled

November 1, 2017

Completed
1.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2019

Completed
4 months until next milestone

Study Completion

Last participant's last visit for all outcomes

November 1, 2019

Completed
Last Updated

July 31, 2017

Status Verified

July 1, 2017

Enrollment Period

1.7 years

First QC Date

July 26, 2017

Last Update Submit

July 26, 2017

Conditions

Outcome Measures

Primary Outcomes (1)

  • Event Free Survival

    Event Free Survival for follicular lymphoma patients treated with modern immunochemotherapy in five cohorts is the primary end point defined as the time from the diagnosis or randomization to the date of progression, relapse, re-treatment, or death from any cause. Two steps analysis, with a discovery cohort and a validation cohort : The discovery cohorts that the investigators plan to study are a subset of patients with available deoxyribonucleic acid samples of two prospective phase III trials (PRIMA (NCT00140582) (N=396) and FOLL-05 (NCT00774826) (N=229), and one prospective observational cohort SPORE of the University of Iowa-Mayo Clinic (MER1; N=178). A GWAS will then be performed on a subset of patients with available deoxyribonucleic acid of two validation cohorts (Prospective observational SPORE MER2; N=321, phase III trial RELEVANCE, NCT01476787, N=441).

    1 year

Secondary Outcomes (1)

  • Somatic alterations and tumor biology

    2 years

Study Arms (2)

Group "Genome Wide Association Studies"

Patients are adults, male or female, with a follicular lymphoma, homogeneously treated by immunochemotherapy included in one of the following cohorte : * PRIMA Cohort : phase III (Sponsor LYSARC, France; NCT00140582): N=396 * RELEVANCE Cohort : phase III (Sponsor LYSARC, France; NCT01476787 ): N=441 * FOLL05 Cohort: phase III (Sponsor Italian lymphoma Foundation, Italy; NCT00774826): N=229 * MER1 Cohorts : prospective, observational (Sponsor Mayo Clinic, USA; IRB#09-001987): N=178 * MER2 Cohorts : prospective, observational (Sponsor Mayo Clinic, USA; IRB#09-001987):N=321 Using the Genome wide association studies (GWAS) approach on these 1,565 patients, the project plan to identify new prognostic markers. These markers will then be analyzed to decipher the impact of host genetics on somatic alterations and tumor biology, using public or matched patient data.

Genetic: Genome Wide Association Studies

Group "EPIC"

Patients are adults, male or female, included in the EPIC Cohort (European Prospective Investigation Into Cancer and Nutrition study between 1992 and 2000. (Sponsor IARC, Lyon, France). The investigators plan to analyze the influence of single-nucleotide polymorphisms on circulating t(14;18) levels in these 318 healthy individuals including 100 who will develop follicular lymphoma later on, and assess if these biomarkers are helpful to refine the identification of high-risk follicular lymphoma individuals.

Genetic: Single-nucleotide polymorphisms's genotyping

Interventions

Using the Genome wide association studies (GWAS) approach on these 1,565 patients, the project plan to identify new prognostic markers. These markers will then be analyzed to decipher the impact of host genetics on somatic alterations and tumor biology, using public or matched patient data.

Group "Genome Wide Association Studies"

Analyze of the influence of single-nucleotide polymorphisms on circulating t(14;18) levels

Group "EPIC"

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Group "Genome Wide Association Studies" : Patients are adults, male or female, with a follicular lymphoma, homogeneously treated by immunochemotherapy included in one of the following cohorte : * PRIMA Cohort : phase III (Sponsor LYSARC, France; NCT00140582): N=396 * RELEVANCE Cohort : phase III (Sponsor LYSARC, France; NCT01476787 ): N=441 * FOLL05 Cohort: phase III (Sponsor Italian lymphoma Foundation, Italy; NCT00774826): N=229 * MER1 Cohorts : prospective, observational (Sponsor Mayo Clinic, USA; IRB#09-001987): N=178 * MER2 Cohorts : prospective, observational (Sponsor Mayo Clinic, USA; IRB#09-001987):N=321 Group "EPIC" : Patients are adults, male or female, included in the EPIC Cohort (European Prospective Investigation Into Cancer and Nutrition study between 1992 and 2000. (Sponsor IARC, Lyon, France).

You may qualify if:

  • Follicular lymphoma treated in first line therapy treated by immunochemotherapy (PRIMA, FOL05, MER1 and 2, control arm of RELEVANCE trial)
  • Follicular lymphoma treated in first line therapy by Rituximab and Lenalidomide as part of the investigational arm of RELEVANCE trial
  • Available constitutional DNA samples for GWAS analysis with an accurate consent form for such genetic study
  • Available biological and clinical characteristics at diagnosis with a follow-up of the patient for event free survival analysis
  • years of age or older

You may not qualify if:

  • A non-follicular lymphoma histology according to WHO 2016 classification (grade 1, 2, 3a follicular lymphoma)
  • Relapsed follicular lymphoma
  • Patients without an accurate consent form for constitutional genetic study
  • Patients with no available biological or clinical data and follow-up for the outcome analysis
  • Group "EPIC"
  • Included in the EPIC Cohort (European Prospective Investigation into Cancer and nutrition study between 1992 and 2000)
  • Available constitutional DNA samples with an accurate consent form for such genetic study
  • years of age or older
  • Patients without an accurate consent form for constitutional genetic study
  • Patients with no available biological or clinical data and follow-up for the outcome analysis

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Service d'Hématologie Clinique, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon

Pierre-Bénite, 69495, France

Location

Biospecimen

Retention: SAMPLES WITH DNA

Peripheral blood

MeSH Terms

Conditions

Lymphoma, FollicularGenetic Predisposition to Disease

Interventions

Genome-Wide Association Study

Condition Hierarchy (Ancestors)

Lymphoma, Non-HodgkinLymphomaNeoplasms by Histologic TypeNeoplasmsLymphoproliferative DisordersLymphatic DiseasesHemic and Lymphatic DiseasesImmunoproliferative DisordersImmune System DiseasesDisease SusceptibilityDisease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Intervention Hierarchy (Ancestors)

Epidemiologic Research DesignEpidemiologic MethodsInvestigative TechniquesMolecular EpidemiologyGenetic Association StudiesGenetic TechniquesOligonucleotide Array Sequence AnalysisSequence AnalysisPublic HealthEnvironment and Public Health

Central Study Contacts

Hervé Ghesquières, Pr

CONTACT

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 26, 2017

First Posted

July 31, 2017

Study Start

November 1, 2017

Primary Completion

July 1, 2019

Study Completion

November 1, 2019

Last Updated

July 31, 2017

Record last verified: 2017-07

Data Sharing

IPD Sharing
Will not share

Locations