Title |
Validation of a rapid one-step high sensitivity real-time quantitative PCR system for detecting major BCR-ABL1 mRNA on an International Scale
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Published in |
SpringerPlus, May 2016
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DOI | 10.1186/s40064-016-2258-6 |
Pubmed ID | |
Authors |
Chikashi Yoshida, Hirohisa Nakamae, Linda Fletcher, Daisuke Koga, Takayuki Sogabe, Itaru Matsumura, Yuzuru Kanakura, Susan Branford, Tomoki Naoe |
Abstract |
Detection and quantitation of BCR-ABL1 transcripts are crucial for managing patients with chronic myeloid leukemia (CML). Although real-time quantitative polymerase chain reaction (RT-qPCR) can be measured on an International Scale (IS), this has not become fully universal. By using a WHO international standard panel established for calibrating secondary standards based on the IS, we have previously developed an RT-qPCR kit, ODK-1201, for quantification of major BCR-ABL1. In this study, the reliability of kit-specific conversion factor 1.12 was validated by exchanging patients' samples between three local clinical laboratories and a reference laboratory. The mean bias of the local method after IS conversion was 1.6 fold lower than the reference method. The clinically-useful sensitivity of the kit was further evaluated for monitoring patients with deep molecular response. Based on the correlation of the IS values between ODK-1201 and the reference laboratory method, the detection level of the kit was estimated as 0.0032 % BCR-ABL1 (IS). ODK-1201 is a highly sensitive one-step RT-qPCR system for detecting BCR-ABL1 on the IS in 2 h after RNA extraction, thus contributing to standardization of molecular monitoring in CML. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 9 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 2 | 22% |
Student > Ph. D. Student | 2 | 22% |
Other | 1 | 11% |
Lecturer > Senior Lecturer | 1 | 11% |
Student > Postgraduate | 1 | 11% |
Other | 0 | 0% |
Unknown | 2 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 3 | 33% |
Biochemistry, Genetics and Molecular Biology | 1 | 11% |
Agricultural and Biological Sciences | 1 | 11% |
Engineering | 1 | 11% |
Unknown | 3 | 33% |