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This Phase II study randomized R-ACVBP and R-CHOP as induction treatment in patients from 18 to 59 with DLBCL CD20+ lymphoma and 2 or 3 adverse prognostic factors of the age-adjusted IPI. The consolidation treatment is allocated according to the response to induction treatment assessed by PET after the 2nd and 4th induction cycles.
1) Induction Arm A: 4 cycles of R-ACVBP, 2 weeks interval. After the 3rd cycle, if PET 2+ (fixing), collection of peripheral blood stem cell progenitors will be organized at the time of hematological recovery under support with G-CSF.
The consolidation treatment will depend on results of PET evaluation after cycle 2 (PET2) and cycle 4 (PET4).
Consolidation 1A (in case of PET 2- PET 4 -):
Consolidation 2 A (in case of PET 2+ PET4 -):
Salvage(in case of PET 4 +):
The patient will be treated with a salvage regimen, after a biopsy of the residual mass whenever possible.
2) Induction arm B: 4 cycles of R-CHOP, 2 weeks interval. After the 3rd cycle, if PET 2+ (fixing), collection of peripheral blood stem cell progenitors will be organized at the time of hematological recovery under support with G-CSF.
The consolidation treatment will depend on results of PET evaluation after cycle 2 (PET2) and cycle 4 (PET4).
Consolidation 1B(in case of PET 2- PET 4 -):
4 additional cycles of R-CHOP, 2-weeks interval
Consolidation 2 B(in case of PET 2+ PET 4 -):
Salvage(in case of PET 4 +):
The patient will be treated with a salvage regimen, after a biopsy of the residual mass whenever possible
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| R-CHOP-14 | Experimental | R-CHOP14 induction regimen |
|
| R-ACVBP14 | Experimental | R-ACVBP14 induction regimen |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| R-CHOP14 induction regimen | Drug | R-CHOP14 induction regimen |
| |
| Measure | Description | Time Frame |
|---|---|---|
| Complete response rate after 4 inductive cycles with R-ACVBP14 or R-CHOP14, in DLBCL CD 20 (+) patients, presenting with 2 or 3 adverse prognostic factors of the aa-IPI Test a Pet-driven strategy Complete response rate after the 4 inductive cycles | 4 inductive cycles with R-ACVBP14 or R-CHOP14 |
| Measure | Description | Time Frame |
|---|---|---|
| Response according to PET after 2 cycles, 4 cycles Induction toxicities Response duration Disease-, progression-, event-free and overall survival after autologous transplant Biological factors for prognosis Pharmacokinetic of rituximab | 2 cycles and 4 cycles Induction |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Bertrand Coiffier, MD | Hospices Civils de Lyon | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| René Olivier Casasnovas | Dijon | 21000 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 21518924 | Result | Casasnovas RO, Meignan M, Berriolo-Riedinger A, Bardet S, Julian A, Thieblemont C, Vera P, Bologna S, Briere J, Jais JP, Haioun C, Coiffier B, Morschhauser F; Groupe d'etude des lymphomes de l'adulte (GELA). SUVmax reduction improves early prognosis value of interim positron emission tomography scans in diffuse large B-cell lymphoma. Blood. 2011 Jul 7;118(1):37-43. doi: 10.1182/blood-2010-12-327767. Epub 2011 Apr 25. | |
| 35710733 |
| Label | URL |
|---|---|
| Related Info | View source |
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| ID | Term |
|---|---|
| D016393 | Lymphoma, B-Cell |
| D016403 | Lymphoma, Large B-Cell, Diffuse |
| D008223 | Lymphoma |
| ID | Term |
|---|---|
| D008228 | Lymphoma, Non-Hodgkin |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
| D008232 | Lymphoproliferative Disorders |
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| R-ACVBP14 induction regimen |
| Drug |
R-ACVBP14 induction regimen |
|
| Derived |
| Girum KB, Rebaud L, Cottereau AS, Meignan M, Clerc J, Vercellino L, Casasnovas O, Morschhauser F, Thieblemont C, Buvat I. 18F-FDG PET Maximum-Intensity Projections and Artificial Intelligence: A Win-Win Combination to Easily Measure Prognostic Biomarkers in DLBCL Patients. J Nucl Med. 2022 Dec;63(12):1925-1932. doi: 10.2967/jnumed.121.263501. Epub 2022 Jun 16. |
| 33097974 | Derived | Blanc-Durand P, Jegou S, Kanoun S, Berriolo-Riedinger A, Bodet-Milin C, Kraeber-Bodere F, Carlier T, Le Gouill S, Casasnovas RO, Meignan M, Itti E. Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network. Eur J Nucl Med Mol Imaging. 2021 May;48(5):1362-1370. doi: 10.1007/s00259-020-05080-7. Epub 2020 Oct 24. |
| 28251914 | Derived | Tout M, Casasnovas O, Meignan M, Lamy T, Morschhauser F, Salles G, Gyan E, Haioun C, Mercier M, Feugier P, Boussetta S, Paintaud G, Ternant D, Cartron G. Rituximab exposure is influenced by baseline metabolic tumor volume and predicts outcome of DLBCL patients: a Lymphoma Study Association report. Blood. 2017 May 11;129(19):2616-2623. doi: 10.1182/blood-2016-10-744292. Epub 2017 Mar 1. |
| D008206 | Lymphatic Diseases |
| D006425 | Hemic and Lymphatic Diseases |
| D007160 | Immunoproliferative Disorders |
| D007154 | Immune System Diseases |