High Resolution Melt Analysis for Rapid and Cost-Effective Screening of TP53 Mutations in Patients with Myeloid Malignancies

Background Recent reports have highlighted an adverse impact of TP53 mutations on the prognosis of patients with myeloid malignancies. TP53 mutational analysis is useful in classifying these patients with respect to treatment strategies. High Resolution Melt (HRM) analysis is based on differences in...

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Veröffentlicht in:Blood 2018-11, Vol.132 (Supplement 1), p.1485-1485
Hauptverfasser: Mori, Takuto, Ono, Yuichiro, Maruoka, Hayato, Shimomura, Yoshimitsu, Hiramoto, Nobuhiro, Yoshioka, Satoshi, Takeda, June, Nannya, Yasuhito, Ogawa, Seishi, Ishikawa, Takayuki
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Sprache:eng
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Zusammenfassung:Background Recent reports have highlighted an adverse impact of TP53 mutations on the prognosis of patients with myeloid malignancies. TP53 mutational analysis is useful in classifying these patients with respect to treatment strategies. High Resolution Melt (HRM) analysis is based on differences in the patterns of melting curves obtained when the targeted double strand DNA (dsDNA) dissociates during heating. HRM analysis is more cost- and time-effective than next-generation sequencing (NGS). In this study, we used HRM analysis to evaluate the impact of TP53 mutations on the clinical features and prognosis of patients at our institute with myeloid malignancies. Methods In this retrospective case study, HRM analysis was performed on 23 patients with MDS and 131 with AML, from October 2011 to January 2018. We targeted ten genes recurrently mutated in myeloid malignancies (TP53, NPM1, FLT3-ITD, IDH1, IDH2, NRAS, KRAS, WT1, DNMT3A, CEBPA) using HRM analysis for screening. For TP53 mutation detection, the entire coding region of TP53 gene from exons 1 to 11 was analyzed using the HRM method. Positive samples were validated using Sanger sequencing. We excluded frequently reported single nucleotide polymorphisms (P47S and R72P), silent mutations, and mutations which were not reported in the Catalogue of Somatic Mutations in Cancer database. NGS of TP53 mutations was done in 18 cases to validate mutations found by HRM analysis. Other non-TP53 gene mutations were similarly analyzed. The primary clinical endpoint of this study was overall survival (OS), measured from the time of diagnosis till time of death due to any cause, or till the last follow-up. The secondary clinical endpoint was relapse-free survival (RFS), measured from time of complete remission to relapse, or the last follow-up. The OS and RFS were compared using the log-rank test. Results We evaluated gene mutations in 131 AML and 23 cases of MDS using HRM analysis. Costs for one HRM analysis were $25 (USD, excluding labor) and required approximately 7 hours processing time per sample. If the screen was positive, add-on cost was an additional $20 with 2 hours of processing time. In total, we identified 28 TP53 somatic mutations in 27 cases from this cohort using HRM analysis (17 newly-diagnosed AML, 4 refractory/relapsed AML, and 6 MDS). Out of the total 154 cases, 18 were also analyzed by NGS; TP53 mutations were detected in 4 cases (median variant allele frequencies = 0.42) and no TP53 mutations were
ISSN:0006-4971
1528-0020
DOI:10.1182/blood-2018-99-112031