Associated Papers
Clinical features, mutational landscape and their prognostic impact in Chinese paediatric patients with T-cell lymphoblastic lymphoma.
Li Y et al.
British Journal of Haematology, 2025
Leveraging genomic diagnostics for prognostics and therapeutics in pediatric acute leukemia.
Newman H et al.
Hemasphere, 2025
Fusion oncoproteins and cooperating mutations define disease phenotypes in NUP98-rearranged leukemia.
Umeda M et al.
Blood, 2025
Genetic evolution and relapse-associated mutations in adult T-cell acute lymphoblastic leukemia patients treated in PETHEMA trials.
González-Gil C et al.
Hemasphere, 2025
Fusion oncoproteins and cooperating mutations define disease phenotypes in NUP98-rearranged leukemia.
Umeda M et al.
Medrxiv : the Preprint Server for Health Sciences, 2025
Design and Validation of a Custom Next-Generation Sequencing Panel in Pediatric Acute Lymphoblastic Leukemia.
Gil JV et al.
International Journal of Molecular Sciences, 2023
Transcriptome-based molecular subtypes and differentiation hierarchies improve the classification framework of acute myeloid leukemia.
Cheng WY et al.
Proceedings of the National Academy of Sciences of the United States of America, 2022
JAK3 mutations and mitochondrial apoptosis resistance in T-cell acute lymphoblastic leukemia.
Bodaar K et al.
Leukemia, 2022
Integrated Genomic Analysis Identifies UBTF Tandem Duplications as a Recurrent Lesion in Pediatric Acute Myeloid Leukemia.
Umeda M et al.
Blood Cancer Discovery, 2022
Genomes for Kids: The Scope of Pathogenic Mutations in Pediatric Cancer Revealed by Comprehensive DNA and RNA Sequencing.
Newman S et al.
Cancer Discovery, 2021
Single-cell DNA amplicon sequencing reveals clonal heterogeneity and evolution in T-cell acute lymphoblastic leukemia.
Albertí-Servera L et al.
Blood, 2021
The Importance of Targeted Next-Generation Sequencing Usage in Cytogenetically Normal Myeloid Malignancies.
Atli EI et al.
Mediterranean Journal of Hematology and Infectious Diseases, 2021
Clinical advantage of targeted sequencing for unbiased tumor mutational burden estimation in samples with low tumor purity.
Hong TH et al.
Journal for Immunotherapy of Cancer, 2020
Clinical utility of target capture-based panel sequencing in hematological malignancies: A multicenter feasibility study.
Yasuda T et al.
Cancer Science, 2020
Development and validation of a targeted gene sequencing panel for application to disparate cancers.
McCabe MJ et al.
Scientific Reports, 2019
Panel-based next-generation sequencing identifies prognostic and actionable genes in childhood acute lymphoblastic leukemia and is suitable for clinical sequencing.
Ishida H et al.
Annals of Hematology, 2019
Most canine ameloblastomas harbor HRAS mutations, providing a novel large-animal model of RAS-driven cancer.
Saffari PS et al.
Oncogenesis, 2019
NOTCH1 pathway activating mutations and clonal evolution in pediatric T-cell acute lymphoblastic leukemia.
Kimura S et al.
Cancer Science, 2019
Fanconi-BRCA pathway mutations in childhood T-cell acute lymphoblastic leukemia.
Pouliot GP et al.
Plos One, 2019
Hedgehog pathway mutations drive oncogenic transformation in high-risk T-cell acute lymphoblastic leukemia.
Burns MA et al.
Leukemia, 2018
Integrative genomic analysis of adult mixed phenotype acute leukemia delineates lineage associated molecular subtypes.
Takahashi K et al.
Nature Communications, 2018
Identification of a genetically defined ultra-high-risk group in relapsed pediatric T-lymphoblastic leukemia.
Richter-Pechańska P et al.
Blood Cancer Journal, 2017
Molecular basis of targeted therapy in T/NK-cell lymphoma/leukemia: A comprehensive genomic and immunohistochemical analysis of a panel of 33 cell lines.
Mondejar R et al.
Plos One, 2017
IL-7 Receptor Mutations and Steroid Resistance in Pediatric T cell Acute Lymphoblastic Leukemia: A Genome Sequencing Study.
Li Y et al.
Plos Medicine, 2016
Genomic characterization of pediatric T-cell acute lymphoblastic leukemia reveals novel recurrent driver mutations.
Spinella JF et al.
Oncotarget, 2016
Novel dynamin 2 mutations in adult T-cell acute lymphoblastic leukemia.
Ge Z et al.
Oncology Letters, 2016
RNA sequencing unravels the genetics of refractory/relapsed T-cell acute lymphoblastic leukemia. Prognostic and therapeutic implications.
Gianfelici V et al.
Haematologica, 2016
Co-existence of PHF6 and NOTCH1 mutations in adult T-cell acute lymphoblastic leukemia.
Li M et al.
Oncology Letters, 2016
Integrated digital error suppression for improved detection of circulating tumor DNA.
Newman AM et al.
Nature Biotechnology, 2016
[Mutations of FBXW7 in Adult T-Cell Acute Lymphocytic Leukemia].
Guo X et al.
Zhongguo Shi Yan Xue Ye Xue Za Zhi, 2015
Frequency and distribution of Notch mutations in tumor cell lines.
Mutvei AP et al.
Bmc Cancer, 2015
Characterization of LEF1 High Expression and Novel Mutations in Adult Acute Lymphoblastic Leukemia.
Guo X et al.
Plos One, 2015
Gene mutation profiles and prognostic implications in Korean patients with T-lymphoblastic leukemia.
Huh HJ et al.
Annals of Hematology, 2013
Predicting the functional impact of protein mutations: application to cancer genomics.
Reva B et al.
Nucleic Acids Research, 2011