Alignment of Qx100/Qx200 Droplet Digital (Bio-Rad) and QuantStudio 3D (Thermofisher) Digital PCR for Quantification of BCR-ABL1 in Ph+ Chronic Myeloid Leukemia
Carmen Fava,
Simona Bernardi,
Enrico Marco Gottardi,
Roberta Lorenzatti,
Laura Galeotti,
Francesco Ceccherini,
Francesco Cordoni,
Filomena Daraio,
Emilia Giugliano,
Aleksandar Jovanovski,
Jessica Petiti,
Marta Varotto,
Davide Barberio,
Giovanna Rege-Cambrin,
Paola Berchialla,
Veronica Sciannameo,
Michele Malagola,
Giuseppe Saglio,
Domenico Russo
Affiliations
Carmen Fava
Department of Clinical and Biological Sciences, University of Turin, AOU San Luigi Gonzaga, Orbassano, 10043 Turin, Italy
Simona Bernardi
Unit of Blood Diseases and Stem Cell Transplantation, DPT of Clinical and Experimental Sciences, University of Brescia, ASST SpedaliCivili di Brescia, 25123 Brescia, Italy
Enrico Marco Gottardi
Division of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy
Roberta Lorenzatti
Division of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy
Laura Galeotti
PhymtechSrl, Via F.lli Rosselli 8, Madonna dell’Acqua, San Giuliano Terme, 56017 Pisa, Italy
Francesco Ceccherini
PhymtechSrl, Via F.lli Rosselli 8, Madonna dell’Acqua, San Giuliano Terme, 56017 Pisa, Italy
Francesco Cordoni
PhymtechSrl, Via F.lli Rosselli 8, Madonna dell’Acqua, San Giuliano Terme, 56017 Pisa, Italy
Filomena Daraio
Division of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy
Emilia Giugliano
Division of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy
Aleksandar Jovanovski
Department of Clinical and Biological Sciences, University of Turin, AOU San Luigi Gonzaga, Orbassano, 10043 Turin, Italy
Jessica Petiti
Department of Clinical and Biological Sciences, University of Turin, AOU San Luigi Gonzaga, Orbassano, 10043 Turin, Italy
Marta Varotto
Bioclarmas.r.l. Research and Molecular Diagnostics, 10126 Torino, Italy
Davide Barberio
Bioclarmas.r.l. Research and Molecular Diagnostics, 10126 Torino, Italy
Giovanna Rege-Cambrin
Division of Internal Medicine and Hematology, San Luigi Gonzaga Hospital, Orbassano, 10043 Turin, Italy
Paola Berchialla
Department of Clinical and Biological Sciences, University of Turin, AOU San Luigi Gonzaga, Orbassano, 10043 Turin, Italy
Veronica Sciannameo
Unit of Biostatistics, Department of Cardiac, Thoracic and Vascular Sciences, Epidemiology and Public Health, University of Padova, 35128 Padova, Italy
Michele Malagola
Unit of Blood Diseases and Stem Cell Transplantation, DPT of Clinical and Experimental Sciences, University of Brescia, ASST SpedaliCivili di Brescia, 25123 Brescia, Italy
Giuseppe Saglio
Department of Clinical and Biological Sciences, University of Turin, AOU San Luigi Gonzaga, Orbassano, 10043 Turin, Italy
Domenico Russo
Unit of Blood Diseases and Stem Cell Transplantation, DPT of Clinical and Experimental Sciences, University of Brescia, ASST SpedaliCivili di Brescia, 25123 Brescia, Italy
In recent years, the digital polymerase chain reaction has received increasing interest as it has emerged as a tool to provide more sensitive and accurate detection of minimal residual disease. In order to start the process of data alignment, we assessed the consistency of the BCR-ABL1 quantification results of the analysis of 16 RNA samples at different levels of disease. The results were obtained by two different laboratories that relied on The Qx100/Qx200 Droplet Digital PCR System (Bio-Rad) and Quant Studio 3D dPCR System (Thermofisher) platforms. We assessed the compatibility between the estimated values by linear regression, Bland–Altman bias-plot, and Mann–Whitney nonparametric test. The results confirmed the compatibility of the measures, allowing us tocompute an ‘alignment factor’ (AF), equal to 1.41, which was further validated by a different series of experiments. We conclude that the performed measurements by the two laboratories are comparable, and also equalized through the introduction of an alignment factor.