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Ferrero S, Grimaldi D, Genuardi E, Drandi D, Zaccaria GM, Alessandria B, Ghislieri M, Ferrante M, Evangelista A, Mantoan B, De Luca G, Stefani PM, Benedetti F, Casaroli I, Zanni M, Castellino C, Pavone V, Petrini M, Re F, Hohaus S, Musuraca G, Cascavilla N, Ghiggi C, Liberati AM, Cortelazzo S, Ladetto M. Punctual and kinetic MRD analysis from the Fondazione Italiana Linfomi MCL0208 phase 3 trial in mantle cell lymphoma. Blood 2022; 140:1378-1389. [PMID: 35737911 PMCID: PMC9507010 DOI: 10.1182/blood.2021014270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 05/27/2022] [Indexed: 11/20/2022] Open
Abstract
Minimal residual disease (MRD) analysis is a known predictive tool in mantle cell lymphoma (MCL). We describe MRD results from the Fondazione Italiana Linfomi phase 3 MCL0208 prospective clinical trial assessing lenalidomide (LEN) maintenance vs observation after autologous stem cell transplantation (ASCT) in the first prospective comprehensive analysis of different techniques, molecular markers, and tissues (peripheral blood [PB] and bone marrow [BM]), taken at well-defined time points. Among the 300 patients enrolled, a molecular marker was identified in 250 (83%), allowing us to analyze 234 patients and 4351 analytical findings from 10 time points. ASCT induced high rates of molecular remission (91% in PB and 83% in BM, by quantitative real-time polymerase chain reaction [RQ-PCR]). Nevertheless, the number of patients with persistent clinical and molecular remission decreased over time in both arms (up to 30% after 36 months). MRD predicted early progression and long-term outcome, particularly from 6 months after ASCT (6-month time to progression [TTP] hazard ratio [HR], 3.83; P < .001). In single-timepoint analysis, BM outperformed PB, and RQ-PCR was more reliable, while nested PCR appeared applicable to a larger number of patients (234 vs 176). To improve MRD performance, we developed a time-varying kinetic model based on regularly updated MRD results and the MIPI (Mantle Cell Lymphoma International Prognostic Index), showing an area under the ROC (Receiver Operating Characteristic) curve (AUROC) of up to 0.87 using BM. Most notably, PB reached an AUROC of up to 0.81; with kinetic analysis, it was comparable to BM in performance. MRD is a powerful predictor over the entire natural history of MCL and is suitable for models with a continuous adaptation of patient risk. The study can be found in EudraCT N. 2009-012807-25 (https://eudract.ema.europa.eu/).
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Affiliation(s)
- Simone Ferrero
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
- AOU Città della Salute e della Scienza di Torino, Torino, Italy
| | - Daniele Grimaldi
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
- Hematology Division, AO S.Croce e Carle, Cuneo, Italy
| | - Elisa Genuardi
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Daniela Drandi
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Gian Maria Zaccaria
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
- Hematology and Cell Therapy Unit, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy
| | - Beatrice Alessandria
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Marco Ghislieri
- PoliToBIOMed Lab, Politecnico di Torino, Torino, Italy
- Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy
| | - Martina Ferrante
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Andrea Evangelista
- Unit of Cancer Epidemiology, CPO, AOU Città della Salute e della Scienza di Torino, Torino, Italy
| | - Barbara Mantoan
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | - Gabriele De Luca
- Department of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy
| | | | - Fabio Benedetti
- Department of Medicine, Section of Hematology and Bone Marrow Transplant Unit, University of Verona, Verona, Italy
| | | | - Manuela Zanni
- Division of Hematology, Antonio e Biagio e Cesare Arrigo Hospital, Alessandria, Italy
| | | | | | | | - Francesca Re
- Azienda Ospedaliero-Universitaria di Parma, Parma, Italy
| | - Stefan Hohaus
- Hematology Unit, Università Cattolica S.Cuore; Roma, Italy
| | - Gerardo Musuraca
- Department of Hematology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS
| | - Nicola Cascavilla
- Hematology, Casa Sollievo della Sofferenza IRCCS Hospital, San Giovanni Rotondo, Italy
| | - Chiara Ghiggi
- Department of Hematology, San Martino Hospital and University, Genova, Italy
| | - Anna Marina Liberati
- Department of Hematology, A.O. Santa Maria Terni, University of Perugia, Perugia, Italy; and
| | | | - Marco Ladetto
- Division of Hematology, Antonio e Biagio e Cesare Arrigo Hospital, Alessandria, Italy
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Galimberti S, Ciabatti E, Ercolano G, Grassi S, Guerrini F, Cecconi N, Rousseau M, Cervetti G, Mazziotta F, Iovino L, Falzetti F, Falcinelli F, Bosi A, Rigacci L, Kovalchuk S, Vallisa D, Macchia L, Ciancia E, Petrini M. The Combination of Rituximab and Bendamustine as First-Line Treatment Is Highly Effective in the Eradicating Minimal Residual Disease in Follicular Lymphoma: An Italian Retrospective Study. Front Pharmacol 2017; 8:413. [PMID: 28706485 PMCID: PMC5489595 DOI: 10.3389/fphar.2017.00413] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Accepted: 06/13/2017] [Indexed: 12/21/2022] Open
Abstract
R-Bendamustine is an effective treatment for follicular lymphoma (FL). Previous large trials demonstrated the prognostic role of the molecular minimal residual disease (MRD) during the most frequently adopted chemotherapeutic regimens, but there are not yet conclusive data about the effect of combination of rituximab (R) and bendamustine in terms of MRD clearance. Thus, the aim of this retrospective study was to assess if and in what extent the combination of rituximab and bendamustine would exert a significant reduction of the molecular disease in 48 previously untreated FL patients. The molecular marker at baseline was found in the 62.5% of cases; no significant differences were observed between patients with or without the molecular marker in respect of the main clinical features. Moreover, the quantization of the baseline molecular tumor burden showed a great variability: the median value was 1.4 × 10-2 copies, ranging from 3 × 10-5 to 4 × 104. The initial molecular tumor burden did not correlate with clinical features and did not impact on the subsequent quality of response. After treatment, 93% of cases became MRD-negative; the median reduction of the BCL2/JH load was 4 logs. The 2-years PFS was 85%; it was significantly longer for patients in complete than for those in partial response (91 vs. 57%; p = 0.002), and for cases with lower FLIPI-2 score (88 vs. 60%; p = 0.004). On the contrary, PFS did not differ between patients with or without the molecular marker at baseline; a molecular tumor burden 15 times higher was observed in the relapsed subgroup in comparison to the relapse-free one, but this difference did not change the PFS length. The 2-years OS was 93.6%; the only variable that significantly impacted on it was the FLIPI-2 score; the presence of the molecular marker at baseline or its behavior after treatment did not impact on survival. This study, even if retrospective and conducted on a small series of patients, would represent a proof of concept that R-bendamustine is able to so efficaciously eradicate MRD that it could be able to by-pass the prognostic significance of MRD already demonstrated for other chemotherapeutic regimens in FL.
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Affiliation(s)
- Sara Galimberti
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
| | - Elena Ciabatti
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
| | - Giacomo Ercolano
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
| | - Susanna Grassi
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
- Doctoral School of Genetics, Oncology and Clinical Medicine (GeNOMEC), University of SienaSiena, Italy
| | - Francesca Guerrini
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
| | - Nadia Cecconi
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
| | - Martina Rousseau
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
| | - Giulia Cervetti
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
| | - Francesco Mazziotta
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
| | - Lorenzo Iovino
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
| | - Franca Falzetti
- Department of Hematology, University of PerugiaPerugia, Italy
| | | | - Alberto Bosi
- Department of Hematology, University of FirenzeFirenze, Italy
| | - Luigi Rigacci
- Department of Hematology, University of FirenzeFirenze, Italy
| | - Sofia Kovalchuk
- Department of Hematology, University of FirenzeFirenze, Italy
| | - Daniele Vallisa
- Department of Hematology and Oncology, Azienda Unità Sanitaria Locale di PiacenzaPiacenza, Italy
| | - Lucia Macchia
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
| | - Eugenio Ciancia
- Pathology, Azienda Ospedaliero Universitaria PisanaPisa, Italy
| | - Mario Petrini
- Section of Hematology, Department of Clinical and Experimental Medicine, University of PisaPisa, Italy
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Shi ZF, Aibaidula A, Tang QS, Shen YW, Chen H, Wu JS, Qin ZY, Zhu JH, Mao Y, Zhou LF. Methods of Glioma Sample Processing for Molecular Diagnosis for the Glioma Tissue Bank Project. Biopreserv Biobank 2015; 13:31-6. [PMID: 25686045 DOI: 10.1089/bio.2014.0089] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Affiliation(s)
- Zhi-feng Shi
- Glioma Surgery Division, Neurological Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Abudumijiti Aibaidula
- Glioma Surgery Division, Neurological Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qi-sheng Tang
- Glioma Surgery Division, Neurological Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi-wen Shen
- Glioma Surgery Division, Neurological Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hong Chen
- Department of Neuropathology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jin-song Wu
- Glioma Surgery Division, Neurological Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhi-yong Qin
- Glioma Surgery Division, Neurological Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jian-hong Zhu
- Glioma Surgery Division, Neurological Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Mao
- Glioma Surgery Division, Neurological Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
| | - Liang-fu Zhou
- Glioma Surgery Division, Neurological Surgery Department, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China
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