RESUMEN
Despite the immense genetic heterogeneity of B-lymphoblastic leukemia [or precursor B-cell acute lymphoblastic leukemia (B-ALL)], RNA sequencing (RNA-Seq) could comprehensively interrogate its genetic drivers, assigning a specific molecular subtype in >90% of patients. However, study groups have only started to use RNA-Seq. For broader clinical use, technical, quality control, and appropriate performance validation are needed. We describe the development and validation of an RNA-Seq workflow for subtype classification, TPMT/NUDT15/TP53 variant discovery, and immunoglobulin heavy chain (IGH) disease clone identification for Malaysia-Singapore acute lymphoblastic leukemia (ALL) 2020. We validated this workflow in 377 patients in our preceding Malaysia-Singapore ALL 2003/Malaysia-Singapore ALL 2010 studies and proposed the quality control measures for RNA quality, library size, sequencing, and data analysis using the International Organization for Standardization 15189 quality and competence standard for medical laboratories. Compared with conventional methods, we achieved >95% accuracy in oncogene fusion identification, digital karyotyping, and TPMT and NUDT15 variant discovery. We found seven pathogenic TP53 mutations, confirmed with Sanger sequencing, which conferred a poorer outcome. Applying this workflow prospectively to the first 21 patients in Malaysia-Singapore ALL 2020, we identified the genetic drivers and IGH disease clones in >90% of patients with concordant TPMT, NUDT15, and TP53 variants using PCR-based methods. The median turnaround time was 12 days, which was clinically actionable. In conclusion, RNA-Seq workflow could be used clinically in management of B-cell ALL patients.
Asunto(s)
Metiltransferasas/genética , Mutación , Leucemia-Linfoma Linfoblástico de Células Precursoras B/diagnóstico , Leucemia-Linfoma Linfoblástico de Células Precursoras B/genética , Pirofosfatasas/genética , RNA-Seq/métodos , Proteína p53 Supresora de Tumor/genética , Niño , Exactitud de los Datos , Técnicas de Genotipaje/métodos , Humanos , Cariotipificación/métodos , Malasia/epidemiología , Leucemia-Linfoma Linfoblástico de Células Precursoras B/epidemiología , Estudios Prospectivos , Reproducibilidad de los Resultados , Singapur/epidemiología , Secuenciación del Exoma/métodosRESUMEN
Early response to 7 days of prednisolone (PRED) treatment is one of the important prognostic factors in predicting eventual outcome in childhood acute lymphoblastic leukemia (ALL). Using proteomic tools and clinically important leukemia cell lines (REH, 697, Sup-B15, RS4; 11), we have identified potential prognostic protein biomarkers as well as discovered promising regulators of PRED-induced apoptosis. After treatment with PRED, the four cell lines can be separated into resistant (REH) and sensitive (697, Sup-B15, RS4;11). Two dimensional gel electrophoresis (2-DE) and MALDI-TOF/TOF MS identified 77 and 17 significantly differentially expressed protein spots (p<0.05) in PRED-sensitive and PRED-resistant cell lines respectively. Several of these were validated by Western blot including proliferating cell nuclear antigen (PCNA), cofilin 1, voltage-dependent anion-channel protein 1 (VDAC1) and proteasome activator subunit 2 (PA28ß). PCNA is a promising protein because of its important roles both in cell cycle regulation and survival control. We subsequently validated PCNA in 43 paired bone marrow samples from children with newly diagnosed ALL (Day 0) and 7 days after PRED treatment (Day 8). ROC curve analysis confirmed that PCNA was highly predictive of PRED response in patients (AUC=0.81, p=0.007) and most interestingly, independent of the molecular subtype, providing a promising universal prognostic marker.
