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Constitutional Genetics in Follicular Lymphoma

Constitutional Genetics to Predict Prognostic and Somatic Alterations in Follicular Lymphoma

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03234140
Acronym
CONPIL
Enrollment
1883
Registered
2017-07-31
Start date
2017-11-30
Completion date
2019-11-30
Last updated
2017-07-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Follicular Lymphoma, Genetic Predisposition to Disease

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.

Interventions

GENETICGenome Wide Association Studies

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.

GENETICSingle-nucleotide polymorphisms's genotyping

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

Sponsors

Hospices Civils de Lyon
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

Group Genome Wide Association Studies Inclusion Criteria: * 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 * 18 years of age or older

Exclusion criteria

* 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 Inclusion Criteria: * 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 * 18 years of age or older

Design outcomes

Primary

MeasureTime frameDescription
Event Free Survival1 yearEvent 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).

Secondary

MeasureTime frameDescription
Somatic alterations and tumor biology2 yearsIn order to better decipher the impact of host genetics on somatic alterations and tumor biology and understand the physiological function of the single-nucleotide polymorphism identified from the primary outcome measure, we will study the link between the molecular profiles of the tumor and the prognostic single-nucleotide polymorphism. This will be performed on samples of the PRIMA and MER studies, for which we have access to somatic and constitutive data. In parallel, we will investigate the relation between known susceptibility single-nucleotide polymorphism and the level of the t(14 ;18) translocation. The latter analysis will be performed on EPIC samples (European Prospective Investigation Into Cancer and Nutrition), comparing healthy individuals to individuals who developed a follicular lymphoma. Finally, we will assess the effect of susceptibility single-nucleotide polymorphism on somatic molecular profiles on PRIMA and MAYO cohorts.

Countries

France

Contacts

Primary ContactHervé Ghesquières, Pr
herve.ghesquieres@chu-lyon.fr04 78 86 43 01

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026