Literature DB >> 32067259

Baseline and interim PET-based outcome prediction in peripheral T-cell lymphoma: A subgroup analysis of the PETAL trial.

Christine Schmitz1, Jan Rekowski2, Stefan P Müller3, Bernd Hertenstein4, Christiane Franzius5, Arnold Ganser6, Frank M Bengel7, Frank Kroschinsky8, Jörg Kotzerke9, Paul La Rosée10, Martin Freesmeyer11, Heinz-Gert Hoeffkes12, Andreas Hertel13, Dirk Behringer14, Rolf Mesters15, Matthias Weckesser16, Stefan Mahlmann17, Uwe Haberkorn18, Uwe Martens19, Gabriele Prange-Krex20, Winfried Brenner21, Aristoteles Giagounidis22, Regina Moeller23, Volker Runde24, Matthias Sandmann25, Hubertus Hautzel26, Stefan Wilop27, Thomas Krohn28, Heinz Dürk29, Michael Heike30, Ferras Alashkar1, Marcus Brinkmann31, Guido Trenn32, Dietmar Wacker33, Christiane Kreisel-Büstgens34, Helga Bernhard35, Gerhard Heil36, Rolf Larisch37, Lars Kurch38, Karl-Heinz Jöckel2, Dieter Hoelzer39, Wolfram Klapper40, Ronald Boellaard41, Ulrich Dührsen1, Andreas Hüttmann1.   

Abstract

The prospective randomized Positron Emission Tomography (PET)-Guided Therapy of Aggressive Non-Hodgkin Lymphomas (PETAL) trial was designed to test the ability of interim PET (iPET) to direct therapy. As reported previously, outcome remained unaffected by iPET-based treatment changes. In this subgroup analysis, we studied the prognostic value of baseline total metabolic tumor volume (TMTV) and iPET response in 76 patients with T-cell lymphoma. TMTV was measured using the 41% maximum standardized uptake value (SUV41max ) and SUV4 thresholding methods. Interim PET was performed after two treatment cycles and evaluated using the ΔSUVmax approach and the Deauville scale. Because of significant differences in outcome, patients with anaplastic lymphoma kinase (ALK)-positive lymphoma were analyzed separately from patients with ALK-negative lymphoma. In the latter, TMTV was statistically significantly correlated with progression-free survival, with thresholds best dichotomizing the population, of 232 cm3 using SUV41max and 460 cm3 using SUV4 . For iPET response, the respective thresholds were 46.9% SUVmax reduction and Deauville score 1-4 vs 5. The proportion of poor prognosis patients was 46% and 29% for TMTV by SUV41max and SUV4 , and 29% and 25% for iPET response by ΔSUVmax and Deauville, respectively. At diagnosis, the hazard ratio (95% confidence interval) for poor prognosis vs good prognosis patients according to TMTV was 2.291 (1.135-4.624) for SUV41max and 3.206 (1.524-6.743) for SUV4 . At iPET, it was 3.910 (1.891-8.087) for ΔSUVmax and 4.371 (2.079-9.187) for Deauville. On multivariable analysis, only TMTV and iPET response independently predicted survival. Patients with high baseline TMTV and poor iPET response (22% of the population) invariably progressed or died within the first year (hazard ratio, 9.031 [3.651-22.336]). Due to small numbers and events, PET did not predict survival in ALK-positive lymphoma. Baseline TMTV and iPET response are promising tools to select patients with ALK-negative T-cell lymphoma for early allogeneic transplantation or innovative therapies.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  T-cell; lymphoma; positron-emission tomography; prognosis; prospective studies; tumor burden

Year:  2020        PMID: 32067259     DOI: 10.1002/hon.2697

Source DB:  PubMed          Journal:  Hematol Oncol        ISSN: 0278-0232            Impact factor:   5.271


  2 in total

1.  The role of pre-treatment and mid-treatment 18F-FDG PET/CT imaging in evaluating prognosis of peripheral T-cell lymphoma-not otherwise specified (PTCL-NOS).

Authors:  Yafei Zhang; Guangfa Wang; Xin Zhao; Yongxian Hu; Elaine Tan Su Yin; Donghe Chen; Huatao Wang; Kui Zhao
Journal:  BMC Med Imaging       Date:  2021-10-09       Impact factor: 1.930

2.  Impact of complete surgical resection on outcome in aggressive non-Hodgkin lymphoma treated with immunochemotherapy.

Authors:  Christine Schmitz; Jan Rekowski; Stefan P Müller; Navid Farsijani; Bernd Hertenstein; Christiane Franzius; Ulla von Verschuer; Paul La Rosée; Martin Freesmeyer; Stefan Wilop; Thomas Krohn; Aruna Raghavachar; Arnold Ganser; Frank M Bengel; Gabriele Prange-Krex; Frank Kroschinsky; Jörg Kotzerke; Aristoteles Giagounidis; Ulrich Dührsen; Andreas Hüttmann
Journal:  Cancer Med       Date:  2020-09-14       Impact factor: 4.452

  2 in total

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