Publications by authors named "Marc S Tyndel"

Article Synopsis
  • DNA sequencing for monitoring measurable residual disease (MRD) in acute myeloid leukemia (AML) is effective, but doesn't work the same for fusion gene-driven subtypes like core-binding factor AML (CBF-AML).
  • This study used RNA sequencing to track the expression levels of specific fusion genes (RUNX1-RUNX1T1 and CBFB-MYH11) during diagnosis and remission, showing significant changes that correlated well with other measurement methods.
  • A decision tree analysis categorized RUNX1-RUNX1T1 AML patients into three groups based on their gene expression reductions, revealing different survival and relapse rates, while highlighting that simply having low mutation levels doesn't guarantee a good long-term outcome.
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Next-generation sequencing (NGS) has been applied to define clinically relevant somatic mutations and classify subtypes in acute myeloid leukemia (AML). Persistent allelic burden after chemotherapy is associated with higher relapse incidence, but presence of allelic burden in AML patients after receiving allogeneic hematopoietic cell transplantation (HCT) has not been examined longitudinally. As such, we aimed to assess the feasibility of NGS in monitoring AML patients receiving HCT.

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Objective: The development of tyrosine kinase inhibitors (TKIs) has significantly improved the treatment of chronic myeloid leukemia (CML). However, approximately one third of patients are resistant to TKI and/or progress to advanced disease stages. TKI therapy failure has a well-known association with ABL1 kinase domain (KD) mutations, but only around half of TKI non-responders have detectable ABL1 KD mutations.

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Somatic mutations commonly detected in a variety of myeloid neoplasms have not been systematically investigated in chronic myeloid leukemia (CML). We performed targeted deep sequencing on a total of 300 serial samples from 100 CML patients; 37 patients carried mutations. Sixteen of these had evidence of mutations originating from preleukemic clones.

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Peptide recognition domains and transcription factors play crucial roles in cellular signaling. They bind linear stretches of amino acids or nucleotides, respectively, with high specificity. Experimental techniques that assess the binding specificity of these domains, such as microarrays or phage display, can retrieve thousands of distinct ligands, providing detailed insight into binding specificity.

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