| Autor: |
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 |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Diseases, Vol 9, Iss 2, p 35 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2079-9721 |
| DOI: |
10.3390/diseases9020035 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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