Semantic Scholar Open Access 2021 14 sitasi

Alignment of Qx100/Qx200 Droplet Digital (Bio-Rad) and QuantStudio 3D (Thermofisher) Digital PCR for Quantification of BCR-ABL1 in Ph+ Chronic Myeloid Leukemia

C. Fava S. Bernardi E. Gottardi Roberta Lorenzatti L. Galeotti +14 lainnya

Abstrak

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.

Topik & Kata Kunci

Penulis (19)

C

C. Fava

S

S. Bernardi

E

E. Gottardi

R

Roberta Lorenzatti

L

L. Galeotti

F

F. Ceccherini

F

Francesco Cordoni

F

F. Daraio

E

E. Giugliano

A

Aleksandar Jovanovski

J

J. Petiti

M

M. Varotto

D

D. Barberio

G

G. Rege‐Cambrin

P

P. Berchialla

V

V. Sciannameo

M

M. Malagola

G

G. Saglio

D

Domenico Russo

Format Sitasi

Fava, C., Bernardi, S., Gottardi, E., Lorenzatti, R., Galeotti, L., Ceccherini, F. et al. (2021). Alignment of Qx100/Qx200 Droplet Digital (Bio-Rad) and QuantStudio 3D (Thermofisher) Digital PCR for Quantification of BCR-ABL1 in Ph+ Chronic Myeloid Leukemia. https://doi.org/10.3390/diseases9020035

Akses Cepat

Lihat di Sumber doi.org/10.3390/diseases9020035
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
14×
Sumber Database
Semantic Scholar
DOI
10.3390/diseases9020035
Akses
Open Access ✓