ddeeper Than Deep: Can ddPCR Predict Successful Imatinib Cessation?
Year: 2019
Type: article
Abstract: BCR-ABL1 transcripts at imatinib cessation were quantified by droplet digital PCR (ddPCR) for 175 patients on the STIM2 trial. Patients with BCR-ABL1 transcripts below a defined cutoff had a 12-month molecular recurrence rate of 46% versus 68% for those above the cutoff. Implications of using ddPCR in forecasting successful imatinib cessation are discussed. See related article by Nicolini et al., p. 6606
Source: Clinical Cancer Research
Institutions: University of Utah, Huntsman Cancer Institute
Language: English
Subfield: Hematology
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: G368171078, G972329327
OpenAlex ID: W2974755398
