Frontiers in Oncology (Oct 2022)
The ALLgorithMM: How to define the hemodilution of bone marrow samples in lymphoproliferative diseases
- Ilaria Vigliotta,
- Ilaria Vigliotta,
- Silvia Armuzzi,
- Silvia Armuzzi,
- Martina Barone,
- Martina Barone,
- Vincenza Solli,
- Vincenza Solli,
- Ignazia Pistis,
- Enrica Borsi,
- Enrica Borsi,
- Barbara Taurisano,
- Barbara Taurisano,
- Gaia Mazzocchetti,
- Gaia Mazzocchetti,
- Marina Martello,
- Marina Martello,
- Andrea Poletti,
- Andrea Poletti,
- Chiara Sartor,
- Chiara Sartor,
- Ilaria Rizzello,
- Ilaria Rizzello,
- Lucia Pantani,
- Paola Tacchetti,
- Cristina Papayannidis,
- Katia Mancuso,
- Katia Mancuso,
- Serena Rocchi,
- Serena Rocchi,
- Elena Zamagni,
- Elena Zamagni,
- Antonio Curti,
- Antonio Curti,
- Mario Arpinati,
- Mario Arpinati,
- Michele Cavo,
- Michele Cavo,
- Carolina Terragna
Affiliations
- Ilaria Vigliotta
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Ilaria Vigliotta
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Silvia Armuzzi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Silvia Armuzzi
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Martina Barone
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Martina Barone
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Vincenza Solli
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Vincenza Solli
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Ignazia Pistis
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Enrica Borsi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Enrica Borsi
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Barbara Taurisano
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Barbara Taurisano
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Gaia Mazzocchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Gaia Mazzocchetti
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Marina Martello
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Marina Martello
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Andrea Poletti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Andrea Poletti
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Chiara Sartor
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Chiara Sartor
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Ilaria Rizzello
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Ilaria Rizzello
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Lucia Pantani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Paola Tacchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Cristina Papayannidis
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Katia Mancuso
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Katia Mancuso
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Serena Rocchi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Serena Rocchi
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Elena Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Elena Zamagni
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Antonio Curti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Antonio Curti
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Mario Arpinati
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Mario Arpinati
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Michele Cavo
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- Michele Cavo
- Department of Experimental, Diagnostic and Specialty Medicine - University of Bologna, Bologna, Italy
- Carolina Terragna
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Seràgnoli Institute of Hematology, Bologna, Italy
- DOI
- https://doi.org/10.3389/fonc.2022.1001048
- Journal volume & issue
-
Vol. 12
Abstract
IntroductionMinimal residual disease (MRD) is commonly assessed in bone marrow (BM) aspirate. However, sample quality can impair the MRD measurement, leading to underestimated residual cells and to false negative results. To define a reliable and reproducible method for the assessment of BM hemodilution, several flow cytometry (FC) strategies for hemodilution evaluation have been compared.MethodsFor each BM sample, cells populations with a well-known distribution in BM and peripheral blood - e.g., mast cells (MC), immature (IG) and mature granulocytes (N) – have been studied by FC and quantified alongside the BM differential count.ResultsThe frequencies of cells’ populations were correlated to the IG/N ratio, highlighting a mild correlation with MCs and erythroblasts (R=0.25 and R=0.38 respectively, with p-value=0.0006 and 0.0000052), whereas no significant correlation was found with B or T-cells. The mild correlation between IG/N, erythroblasts and MCs supported the combined use of these parameters to evaluate BM hemodilution, hence the optimization of the ALLgorithMM. Once validated, the ALLgorithMM was employed to evaluate the dilution status of BM samples in the context of MRD assessment. Overall, we found that 32% of FC and 52% of Next Generation Sequencing (NGS) analyses were MRD negative in samples resulted hemodiluted (HD) or at least mildly hemodiluted (mHD).ConclusionsThe high frequency of MRD-negative results in both HD and mHD samples implies the presence of possible false negative MRD measurements, impairing the correct assessment of patients’ response to therapy and highlighs the importance to evaluate BM hemodilution.
Keywords
- minimal residual disease
- multiple myeloma
- acute lymphoblastic leukemia
- hemodilution
- hemodilution/methods
- flow cytometry