Evidence map›Paper›PMID 35737911›Full record

Trial reportBlood2022

Punctual and kinetic MRD analysis from the Fondazione Italiana Linfomi MCL0208 phase 3 trial in mantle cell lymphoma.

Simone Ferrero, Daniele Grimaldi, Elisa Genuardi, Daniela Drandi, Gian Maria Zaccaria, Beatrice Alessandria, Marco Ghislieri, Martina Ferrante, Andrea Evangelista, Barbara Mantoan and 16 more

Open access · hybridAbstract readClinical Trial, Phase III
In one paragraph

Trial report in Blood, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
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  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Flow Cytometric MRD Detection in Selected Mature B-Cell Malignancies.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  15. Article
  16. Review
  17. Measurable Residual Disease Monitoring in Lymphoma.Current hematologic malignancy reports · 2023
    Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 17 institutions in 1 country.

Simone FerreroDepartment of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy.ORCID 0000-0002-9711-1502
Daniele GrimaldiDepartment of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy.
Elisa GenuardiDepartment of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy.
Daniela DrandiDepartment of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy.ORCID 0000-0003-1825-1206
Gian Maria ZaccariaDepartment of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy.ORCID 0000-0001-5643-5917
Beatrice AlessandriaDepartment of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy.
Marco GhislieriPoliToBIOMed Lab, Politecnico di Torino, Torino, Italy.ORCID 0000-0001-7626-1563
Martina FerranteDepartment of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy.ORCID 0000-0002-1336-9603
Andrea EvangelistaUnit of Cancer Epidemiology, CPO, AOU Città della Salute e della Scienza di Torino, Torino, Italy.ORCID 0000-0003-1901-2805
Barbara MantoanDepartment of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy.
Gabriele De LucaDepartment of Molecular Biotechnologies and Health Sciences, University of Torino, Torino, Italy.
Piero Maria StefaniHematology Unit, General Hospital Ca' Foncello, Treviso, Italy.ORCID 0000-0003-2937-851X
Fabio BenedettiDepartment of Medicine, Section of Hematology and Bone Marrow Transplant Unit, University of Verona, Verona, Italy.
Ivana CasaroliHematology Unit, Ospedale San Gerardo, Monza, Italy.
Manuela ZanniDivision of Hematology, Antonio e Biagio e Cesare Arrigo Hospital, Alessandria, Italy.
Claudia CastellinoHematology Division, AO S.Croce e Carle, Cuneo, Italy.
Vincenzo PavoneHematology, Card. G. Panico Hospital, Tricase, Italy.
Mario PetriniSanta Chiara University Hospital, Pisa, Italy.ORCID 0000-0002-1017-6961
Francesca ReAzienda Ospedaliero-Universitaria di Parma, Parma, Italy.
Stefan HohausHematology Unit, Università Cattolica S.Cuore; Roma, Italy.ORCID 0000-0002-5534-7197
Gerardo MusuracaDepartment of Hematology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS.ORCID 0000-0003-1947-1032
Nicola CascavillaHematology, Casa Sollievo della Sofferenza IRCCS Hospital, San Giovanni Rotondo, Italy.
Chiara GhiggiDepartment of Hematology, San Martino Hospital and University, Genova, Italy.
Anna Marina LiberatiDepartment of Hematology, A.O. Santa Maria Terni, University of Perugia, Perugia, Italy; and.
Sergio CortelazzoOncology Unit, Clinica Humanitas Gavazzeni, Bergamo, Italy.
Marco LadettoDivision of Hematology, Antonio e Biagio e Cesare Arrigo Hospital, Alessandria, Italy.
University of Turin · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITAzienda Ospedaliera Nazionale SS. Antonio e Biagio e Cesare Arrigo · ITAzienda Sanitaria Ospedaliera S.Croce e Carle Cuneo · ITAzienda Ospedaliera San Gerardo · ITCa' Foncello Hospital · ITCasa Sollievo della Sofferenza · ITHumanitas Gavazzeni · ITIstituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori · ITIstituto Tumori Bari · ITOspedale di Parma · ITOspedale Policlinico San Martino · ITOspedale Santa Chiara · ITPolitecnico di Torino · ITUniversità Cattolica del Sacro Cuore · ITUniversity of Perugia · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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/).

Indexed as

Hematopoietic Stem Cell TransplantationLymphoma, Mantle-CellAdultHumansKineticsLenalidomideNeoplasm, ResidualProspective StudiesTransplantation, AutologousLenalidomide

Identifiers

PMID35737911
PMCPMC9507010
OpenAlexW4283325073

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.