Identification Predictive Markers of Immunochemotherapy Response to the Primary Cutaneous Diffuse Large B Cell Lymphoma (PROTEOM)

Identification Predictive Markers of Immunochemotherapy Response to the Primary Cutaneous Diffuse Large B Cell Lymphoma by Transcriptomic Proteomics and Mutational Analysis

The study is performed on a single-center retrospective cohort of 32 patients LBC-TJ treated with R-chemotherapy for which data collection was carried out in homogeneous and prospectively followed according to international standards through RCP monthly cutaneous lymphomas managed by Professor Beylot-Barry and inclusion of cases in the national database of rare cancer network French Study Group of Cutaneous Lymphomas in Bordeaux managed by Prof. Beatrice Vergier. Fourteen patients responded to the R-PCT against 18 non-responders, 14 patients for whom we have the sample to recidivism.

Study Overview

• Status: Unknown
• Conditions: Lymphoma, Large B-Cell, Diffuse
• Intervention / Treatment: Other: Sequencing RNA.

Detailed Description

The objective is to identify predictive biomarkers of response to R-chemotherapy and understand what genomic markers, transcriptomic or proteomic would identify those patients ahead. This would ultimately help to identify whether dysregulated biological pathway could be targeted specifically among patients with personalized treatment.

Like its counterpart systemic Lymphoma Diffuse large B cell, the sequential analysis of the same patient at diagnosis and relapse can also identify candidate genes and biological pathways involved in recurrence and help to design new therapeutic strategies.

Another objective is ultimately the development of an integrative bioinformatics tool for anticipating the therapeutic response. The tumor model used is certainly a rare cancer but prototypical ABC lymphomas allowing access to relapse hardware and relative homogeneity that will allow a study of a smaller number of cases for the development of correlations models genomics / proteomics. This is a pivotal project integrating proteomic data and Molecular Biology (mutation, expression) based on the pooling of skills of clinical teams, biological and bioinformatics to validate a predictive model for treatment response able to integrate prognostic markers known as TNM the dual expression MYC / BCL2 and forward to predict the therapeutic response using this modeling by CBIB. We would then validate the model established in this series of training on a range of national validation as part of an observational study with GFELC (Groupe Français d'Etude des Lymphomes Cutanés).

• Study Type: Observational
• Enrollment (Actual): 32

Contacts and Locations

Study Locations

• France
  • Pessac, France, 33600
    • Service de Biologie des Tumeurs et Tumorothèque

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

• Sampling Method: Non-Probability Sample

Study Population

Patients LBC-TJ treated with R-chemotherapy for which data collection was carried out in homogeneous and prospectively followed according to international standards through RCP monthly cutaneous lymphomasmanaged by Professor Beylot-Barry and inclusion of cases in the national database of rare cancer network French Study Group of Cutaneous Lymphomas in Bordeaux managed by Prof. Beatrice Vergier.

Description

• Patients LBC-TJ
• Treated with R-chemotherapy

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort

Intervention / Treatment

Primary diffuse cutaneous B-cell lymphoma, leg type; Cohort of 32 patients LBC-TJ treated with R-chemotherapy for which data collection was carried out in homogeneous and prospectively followed according to international standards through RCP monthly cutaneous lymphomas managed by Professor Beylot-Barry and inclusion of cases in the national database of rare cancer network French Study Group of Cutaneous Lymphomas in Bordeaux managed by Prof. Beatrice Vergier.

Other: Sequencing RNA.; RNA-seq, central pivot between genomics and proteomics allows to make the connection between the observed mutations and alteration of protein expression with the identification and quantification of RNA. Thus, we can attest to the expression of mutations identified on DNA, protein and understand whether deregulation is linked to dysregulation of transcription or post-translational modification

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Describe of mutations in genes	To characterize the tumours, a sequencing of dedicated lymphopanel targeting the most frequently altered genes in large B-cell lymphomas was performed. Several highly recurrent mutations of MYD88, PIM1, CD79B and MYC, as well as CDKN2A, BLIMP1 and TNFAIP3 deletions were detected per patient leading to the putative deregulation of several biological pathways. These sequencing data have evidenced the genetic diversity and complexity of PCLBCL, LT mutational landscape.	day1

Collaborators and Investigators

• Sponsor: University Hospital, Bordeaux
• Investigators: Principal Investigator: Audrey GROS, PharmD, PhD, University Hospital, Bordeaux

Study record dates

Study Major Dates

• Study Start (Actual): February 19, 2019
• Primary Completion (Anticipated): May 1, 2020
• Study Completion (Anticipated): May 1, 2020

Study Registration Dates

• First Submitted: November 28, 2019
• First Submitted That Met QC Criteria: November 28, 2019
• First Posted (Actual): December 3, 2019

Study Record Updates

• Last Update Posted (Actual): April 29, 2020
• Last Update Submitted That Met QC Criteria: April 28, 2020
• Last Verified: April 1, 2020

More Information

Terms related to this study

• Keywords: Mutations; Proteomic; Predictive marker; Rituximab-polychemotherapy; Integrative bioinformatics tool
• Additional Relevant MeSH Terms: Immune System Diseases; Neoplasms by Histologic Type; Neoplasms; Lymphoproliferative Disorders; Lymphatic Diseases; Immunoproliferative Disorders; Lymphoma, Non-Hodgkin; Lymphoma, B-Cell; Lymphoma; Lymphoma, Large B-Cell, Diffuse
• Other Study ID Numbers: CHUBX 2018/78

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No