Non-invasive Tumor Immunoglobulin Gene Next Generation Sequencing (IgNGS) in Diffuse Large B Cell Lymphoma (DLBCL)

NCT ID: NCT04237168

Last Updated: 2020-01-29

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

30 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-01-31

Study Completion Date

2022-07-31

Brief Summary

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This study will evaluate IgNGS at different time points in newly diagnosed DLBCL patients homogeneously treated (RCHOP) to address its correlation with conventional techniques (i.e., positron emission tomography/computed tomography imaging (PET/CT) and outcome.

Detailed Description

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In B-cell malignancies, every lymphocyte clone expresses a unique antigen receptor structure, therefore immunoglobulin gene rearrangements (the sequence of nucleotides at the V(D)J recombination site) serves as a specific marker for each clone. Methods of analysis have changed over time to improve the sensitivity and to allow its application in clinical settings.

Diffuse Large B-cell lymphoma (DLBCL) displays molecular heterogeneity. In this context, IgNGS allows for detection of tumor clonotype from plasma (ctDNA) (Liquid Biopsy-LB) of DLBCL patients with high sensitivity and specificity. ctDNA can be tracked with this methodology in the vast majority (\>90%) of patients, in contrast to NGS-methods based on genotyping for specific DLBCL mutations, which have overall low frequency. Furthermore, most newly discovered neoantigens in lymphoma derive from immunoglobulin variable sequences, supporting the relevance of the analysis of this particular region in contrast to the use of specific B-cell mutations. Importantly, preliminary studies on clonotype detection by IgNGS at the end of treatment correlate with outcome (poorer progression-free survival) and the persistence or reemergence of the tumor clonotype by ctDNA studies may anticipate the clinical relapse. We propose to evaluate IgNGS at different time points in newly diagnosed DLBCL patients treated with RCHOP to address its correlation with conventional techniques (i.e., PET/CT imaging) and outcome.

Conditions

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Lymphoma, Large B-Cell, Diffuse

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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DLBCL patients

newly diagnosed DLBCL (de novo, all ages) patients treated with RCHOP (first-line treatment regimen)

IgNGS from circulating tumor DNA

Intervention Type DIAGNOSTIC_TEST

3 longitudinal plasma samples will be evaluated at three different time points per patient: 0 (pre-treatment), end of treatment, and at 6 months after treatment.

Interventions

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IgNGS from circulating tumor DNA

3 longitudinal plasma samples will be evaluated at three different time points per patient: 0 (pre-treatment), end of treatment, and at 6 months after treatment.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Exclusion Criteria

* Primary mediastinal DLBCL.
* Transformed DLBCL
* Patients HIV+
* Central Nervous System (CNS) DLBCL
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Javier Briones

Role: PRINCIPAL_INVESTIGATOR

Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau

Locations

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Hospital de la Santa Creu i Sant Pau

Barcelona, , Spain

Site Status

Countries

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Spain

Central Contacts

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Javier Briones, PhD

Role: CONTACT

+34935565649

Anna Monter-Rovira, MD

Role: CONTACT

Facility Contacts

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Javier Briones, PhD

Role: primary

Anna Monter-Rovira, MD

Role: backup

References

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Herrera AF, Armand P. Minimal Residual Disease Assessment in Lymphoma: Methods and Applications. J Clin Oncol. 2017 Dec 1;35(34):3877-3887. doi: 10.1200/JCO.2017.74.5281. Epub 2017 Sep 21.

Reference Type BACKGROUND
PMID: 28933999 (View on PubMed)

Scherer F, Kurtz DM, Newman AM, Stehr H, Craig AF, Esfahani MS, Lovejoy AF, Chabon JJ, Klass DM, Liu CL, Zhou L, Glover C, Visser BC, Poultsides GA, Advani RH, Maeda LS, Gupta NK, Levy R, Ohgami RS, Kunder CA, Diehn M, Alizadeh AA. Distinct biological subtypes and patterns of genome evolution in lymphoma revealed by circulating tumor DNA. Sci Transl Med. 2016 Nov 9;8(364):364ra155. doi: 10.1126/scitranslmed.aai8545.

Reference Type BACKGROUND
PMID: 27831904 (View on PubMed)

Scherer F, Kurtz DM, Diehn M, Alizadeh AA. High-throughput sequencing for noninvasive disease detection in hematologic malignancies. Blood. 2017 Jul 27;130(4):440-452. doi: 10.1182/blood-2017-03-735639. Epub 2017 Jun 9.

Reference Type BACKGROUND
PMID: 28600337 (View on PubMed)

Kurtz DM, Green MR, Bratman SV, Scherer F, Liu CL, Kunder CA, Takahashi K, Glover C, Keane C, Kihira S, Visser B, Callahan J, Kong KA, Faham M, Corbelli KS, Miklos D, Advani RH, Levy R, Hicks RJ, Hertzberg M, Ohgami RS, Gandhi MK, Diehn M, Alizadeh AA. Noninvasive monitoring of diffuse large B-cell lymphoma by immunoglobulin high-throughput sequencing. Blood. 2015 Jun 11;125(24):3679-87. doi: 10.1182/blood-2015-03-635169. Epub 2015 Apr 17.

Reference Type BACKGROUND
PMID: 25887775 (View on PubMed)

Roschewski M, Dunleavy K, Pittaluga S, Moorhead M, Pepin F, Kong K, Shovlin M, Jaffe ES, Staudt LM, Lai C, Steinberg SM, Chen CC, Zheng J, Willis TD, Faham M, Wilson WH. Circulating tumour DNA and CT monitoring in patients with untreated diffuse large B-cell lymphoma: a correlative biomarker study. Lancet Oncol. 2015 May;16(5):541-9. doi: 10.1016/S1470-2045(15)70106-3. Epub 2015 Apr 1.

Reference Type BACKGROUND
PMID: 25842160 (View on PubMed)

Other Identifiers

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IIBSP-LIN-2019-83

Identifier Type: -

Identifier Source: org_study_id

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