Literature DB >> 26936916

Molecular Profile and FDG-PET/CT Total Metabolic Tumor Volume Improve Risk Classification at Diagnosis for Patients with Diffuse Large B-Cell Lymphoma.

Anne-Ségolène Cottereau1, Hélène Lanic2, Sylvain Mareschal3, Michel Meignan4, Pierre Vera5, Hervé Tilly2, Fabrice Jardin2, Stéphanie Becker5.   

Abstract

PURPOSE: The prognostic impact of total metabolic tumor volume (TMTV) measured on pretreatment (18)F-FDG PET/CT and its added value to molecular characteristics was investigated in patients with diffuse large B-cell lymphoma (DLBCL). EXPERIMENTAL
DESIGN: For 81 newly diagnosed patients with DLBCL treated with rituximab and CHOP/CHOP-like regimen, TMTV was computed using the 41% SUVmax thresholding method. According to the gene expression profile, determined using DASL (cDNA-mediated Annealing, Selection, Ligation and extension) technology, a subset of 57 patients was classified in germinal center B (GCB) or activated B-cell (ABC) subtypes and MYC or BCL2 overexpressed.
RESULTS: Median follow-up was 64 months. Five-year progression-free survival (PFS) and overall survival (OS) were 60% and 63% in the whole population. Median pretherapy TMTV was 320 cm(3) (25th-75th percentiles 106-668 cm(3)). With a 300 cm(3) cutoff, patients with high TMTV (n = 43) had a 5-year PFS and OS of 43% and 46% compared with 76% and 78% for patients with a low TMTV (P = 0.0023, P = 0.0047). ABC status, MYC, or BCL2 overexpression and both overexpression ("dual expressor," DE) were significantly associated with a worse PFS and OS. TMTV combined with molecular data allowed a significant better risk substratification of ABC/GCB patients, on PFS and OS. High TMTV individualized in molecular-low-risk patients a group with a poor outcome (MYC, PFS=51%, OS=55% BCL2, PFS=49%, OS=49% or DE PFS=50%, OS=50%) and a group with a good outcome (MYC, PFS=93%, OS=93% BCL2, PFS=86%, OS=86%, or DE PFS=81%, OS=81%).
CONCLUSIONS: The combination of molecular and imaging characteristics at diagnosis could lead to a more accurate selection of patients, to increase tailor therapy. Clin Cancer Res; 22(15); 3801-9. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26936916     DOI: 10.1158/1078-0432.CCR-15-2825

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  48 in total

1.  Tumor fragmentation estimated by volume surface ratio of tumors measured on 18F-FDG PET/CT is an independent prognostic factor of diffuse large B-cell lymphoma.

Authors:  Pierre Decazes; Stéphanie Becker; Mathieu Nessim Toledano; Pierre Vera; Paul Desbordes; Fabrice Jardin; Hervé Tilly; Isabelle Gardin
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-28       Impact factor: 9.236

2.  Baseline and interim functional imaging with PET effectively risk stratifies patients with peripheral T-cell lymphoma.

Authors:  Neha Mehta-Shah; Kimiteru Ito; Kurt Bantilan; Alison J Moskowitz; Craig Sauter; Steven M Horwitz; Heiko Schöder
Journal:  Blood Adv       Date:  2019-01-22

3.  Prognostic value of metabolic tumour volume on baseline 18F-FDG PET/CT in addition to NCCN-IPI in patients with diffuse large B-cell lymphoma: further stratification of the group with a high-risk NCCN-IPI.

Authors:  Qaid Ahmed Shagera; Gi Jeong Cheon; Youngil Koh; Min Young Yoo; Keon Wook Kang; Dong Soo Lee; E Edmund Kim; Sung-Soo Yoon; June-Key Chung
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-04-02       Impact factor: 9.236

4.  PET-derived tumor metrics predict DLBCL response and progression-free survival.

Authors:  Prioty Islam; Jordan Goldstein; Christopher R Flowers
Journal:  Leuk Lymphoma       Date:  2019-02-04

5.  Metabolic Tumor Volume in Lymphoma: Hype or Hope?

Authors:  Heiko Schöder; Craig Moskowitz
Journal:  J Clin Oncol       Date:  2016-10-20       Impact factor: 44.544

6.  18F-FDG PET Dissemination Features in Diffuse Large B-Cell Lymphoma Are Predictive of Outcome.

Authors:  Anne-Ségolène Cottereau; Christophe Nioche; Anne-Sophie Dirand; Jérôme Clerc; Franck Morschhauser; Olivier Casasnovas; Michel Meignan; Irène Buvat
Journal:  J Nucl Med       Date:  2019-06-14       Impact factor: 10.057

7.  Is there an optimal method for measuring baseline metabolic tumor volume in diffuse large B cell lymphoma?

Authors:  Anne-Ségolène Cottereau; Irene Buvat; Salim Kanoun; Annibale Versari; Olivier Casasnovas; Stephane Chauvie; Jérôme Clerc; Andrea Gallamini; Michel Meignan
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-12       Impact factor: 9.236

8.  High metabolic heterogeneity on baseline 18FDG-PET/CT scan as a poor prognostic factor for newly diagnosed diffuse large B-cell lymphoma.

Authors:  Hajime Senjo; Kenji Hirata; Koh Izumiyama; Koichiro Minauchi; Eriko Tsukamoto; Kazuo Itoh; Minoru Kanaya; Akio Mori; Shuichi Ota; Daigo Hashimoto; Takanori Teshima
Journal:  Blood Adv       Date:  2020-05-26

Review 9.  [Hybrid imaging in lymphoma].

Authors:  Marius E Mayerhöfer; Alexander Haug
Journal:  Radiologe       Date:  2020-05       Impact factor: 0.635

10.  Prognostic role of baseline 18F-FDG PET/CT metabolic parameters in Burkitt lymphoma.

Authors:  Domenico Albano; Giovanni Bosio; Chiara Pagani; Alessandro Re; Alessandra Tucci; Raffaele Giubbini; Francesco Bertagna
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-10-02       Impact factor: 9.236

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