Genetic alterations activating NOTCH1 signaling and T cell transcription factors, coupled with inactivation of the INK4/ARF tumor suppressors are hallmarks of T-ALL, but detailed genome-wide sequencing of large T-ALL cohorts has not been performed. Using integrated genomic analysis of 264 T-ALL cases, we identify 106 putative driver genes, half of which were not previously described in childhood T-ALL (e.g. CCND3, CTCF, MYB, SMARCA4, ZFP36L2 and MYCN). We described new mechanisms of coding and non-coding alteration, and identify 10 recurrently altered pathways, with associations between mutated genes and pathways, and stage or subtype of T-ALL. For example, NRAS/FLT3 mutations were associated with immature T-ALL, JAK3/STAT5B mutations in HOX1 deregulated ALL, PTPN2 mutations in TLX1 T-ALL, and PIK3R1/PTEN mutations in TAL1 ALL, suggesting that different signaling pathways have distinct roles according to maturational stage. This genomic landscape provides a logical framework for the development of faithful genetic models and new therapeutic approaches.

Genomic studies of pediatric cancer have primarily focused on specific tumor types or high-risk disease. Here, we used a three-platform sequencing approach, including whole genome (WGS), exome, and RNA sequencing, to examine tumor and germline genomes from 309 prospectively identified children with newly diagnosed (85%) or relapsed/refractory (15%) cancers, unselected for tumor type. Eighty-six percent of patients harbored diagnostic (53%), prognostic (57%), therapeutically-relevant (25%), and/or cancer predisposing (18%) variants. Inclusion of WGS enabled detection of activating gene fusions and enhancer hijacks (36% and 8% of tumors, respectively), small intragenic deletions (15% of tumors) and mutational signatures revealing of pathogenic variant effects. Evaluation of paired tumor-normal data revealed relevance to tumor development for 55% of pathogenic germline variants. This study demonstrates the power of a three-platform approach that incorporates WGS to interrogate and interpret the full range of genomic variants across newly diagnosed as well as relapsed/refractory pediatric cancers. STATEMENT OF SIGNIFICANCEPediatric cancers are driven by diverse genomic lesions and sequencing has proven useful in evaluating high risk and relapsed/refractory cases. We show that combined whole genome, exome, and RNA-sequencing of tumor and paired normal tissues enables identification and characterization of genetic drivers across the full spectrum of pediatric cancers.Research.

The genetics of relapsed pediatric acute myeloid leukemia (AML) has yet to be comprehensively defined. Here, we present the spectrum of genomic alterations in 136 relapsed pediatric AMLs. We identified recurrent exon 13 tandem duplications (TD) in UBTF in 9% of relapsed AML cases. UBTF-TD AMLs commonly have normal karyotype or trisomy 8 with co-occurring WT1 mutations or FLT3-ITD but not other known oncogenic fusions. These UBTF-TD events are stable during disease progression and are present in the founding clone. Additionally, we observed that UBTF-TD AMLs account for approximately 4% of all de novo pediatric AMLs, are less common in adults, and are associated with poor outcomes and MRD positivity. Expression of UBTF-TD in primary hematopoietic cells is sufficient to enhance serial clonogenic activity and to drive a similar transcriptional program to UBTF-TD AMLs. Collectively, these clinical, genomic, and functional data establish UBTF-TD as a new recurrent mutation in AML.

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Translation of cellular mechanics findings is crucial in many diseases, including Alzheimer's disease, Parkinson's disease, type II diabetes, malaria, sickle cell disease, and cancer. Atomic force microscopy (AFM) is appropriate for measuring mechanical properties of living and fixed cells due to its high force sensitivity and its ability to measure local and overall properties of individual cells under physiological conditions. A systemic forcedisplacement curve analysis is reported on the quantification of material stiffness via AFM using two theoretical models derived from the Hertz model. This analysis was applied to red blood cells from patients with sickle cell disease to determine the Young's modulus of these cells in the oxygenated and deoxygenated state. Sickle cell disease pathophysiology is a consequence of the polymerization of sickle hemoglobin in red blood cells upon partial deoxygenation and the impaired flow of these cells in the microcirculation. A model is presented for a four-sided pyramidal indenter that is subsequently shown to have a better fit to the obtained data than that using a model of a parabolic indenter. It is concluded that deoxygenation and therapeutic treatment have a significant impact on the stiffness. This analysis presents a new approach to addressing medical disorders.