Biology subjects

Byrd, J. C.

Publications and source records attributed to Byrd, J. C..

6 recordsLinked to original sources

bioRxiv2025

Prognostic and Therapeutic Implications of BRAF Mutations in Acute Myeloid Leukemia

Mutations in the RAS/MAPK signaling pathway are recurrent in acute myeloid leukemia (AML), primarily involving NRAS and KRAS. In contrast, mutations in the gene encoding an effector protein, BRAF, occur at relatively lower frequencies in AML and are associated with poor outcomes. To date, no comprehensive analysis has assessed the clinical and molecular characteristics of BRAF-mutated AML. In this study, we report the identification of canonical and non-canonical BRAF mutations in [~]1% of 5,779 consecutive clinically and molecularly fully-annotated AML patients treated at two major United States Cancer Centers (50/5779 AML patients: 21 newly diagnosed AML; 9 relapsed/refractory; 20 newly diagnosed secondary AML). We performed single-cell multiomic analysis on a subset of AML samples. BRAF mutations were enriched in myelodysplasia-related AML (AML-MR), and most mutations were located outside the V600 hotspot. Single-cell multiomic profiling delineated BRAF mutation class-specific patterns of co-mutations, clonality, and immunophenotypes. Notably, BRAF mutations and other signaling co-mutation(s) could be found in the same cell, a finding that significantly diverges from prior studies of RAS-mutant AML. In this cohort, BRAF-mutant AML patients had poor overall survival with currently available treatments, including venetoclax-based regimens. Drug sensitivity data suggest possible avenues for targeted treatment of BRAF-mutated AML. Statement of SignificanceCanonical and non-canonical BRAF mutations are enriched in AML-MR and associate with poor survival outcomes. Single-cell multiomic profiling revealed unique co-mutation patterns and immunophenotypes that highlight RAS pathway addiction and nominate BRAF-mutated disease as a distinct subtype within RAS pathway-aberrated leukemias. Drug sensitivity screens suggest broad CDK or HSP90 inhibition in addition to BRAF/RAS-directed inhibition may be effective targeted therapies in this prognostically poor AML subtype.

cancer biology↗

bioRxiv2025

MYD88 mutations in clonal hematopoiesis promote inflammation and hematopoietic stem cell expansion

Clonal hematopoiesis of indeterminate potential (CHIP) is characterized by expansion of mutant hematopoietic stem and progenitor cells (HSPCs) and an increased risk of chronic diseases and cancers. While mutations in DNMT3A, TET2, and ASXL1 are common in CHIP, the contribution of less frequent gene mutations is not well understood. Here, we report MYD88 mutations, including lymphoma-associated and novel variants in blood cells of the general population and newly diagnosed solid cancer patients. MYD88 CHIP mutations in HSPCs activate NF-{kappa}B, indicating a gain-of-function activity. Modeling MYD88 CHIP in mice, Myd88L252P (equivalent of human L265P) expression resulted in a competitive fitness advantage of HSPCs. Myd88L252P HSPCs exhibit a myeloid cell bias and inflammation, leading to hematologic disease. Single-cell RNA sequencing indicated that Myd88L252P expands distinct hematopoietic and immune cell clusters and activates immune-related pathways in HSPCs. An IRAK1/4 inhibitor suppressed MYD88-dependent NF-{kappa}B activation and reversed Myd88L252P cell expansion. Overall, MYD88 mutations contribute to CHIP by inducing innate immune pathways in HSPCs and inflammatory disease.

cancer biology↗

bioRxiv2024

Genotype-immunophenotype relationships in NPM1-mutant AML clonal evolution uncovered by single cell multiomic analysis

Acute myeloid leukemia (AML) is a multi-clonal disease, existing as a milieu of clones with unique but related genotypes as initiating clones acquire subsequent mutations. However, bulk sequencing cannot fully capture AML clonal architecture or the clonal evolution that occurs as patients undergo therapy. To interrogate clonal evolution, we performed simultaneous single cell molecular profiling and immunophenotyping on 43 samples from 32 NPM1-mutant AML patients at different stages of disease. Here we show that diagnosis and relapsed AML samples display similar clonal architecture patterns, but signaling mutations can drive increased clonal diversity specifically at relapse. We uncovered unique genotype-immunophenotype relationships regardless of disease state, suggesting leukemic lineage trajectories can be hard-wired by the mutations present. Analysis of longitudinal samples from patients on therapy identified dynamic clonal, transcriptomic, and immunophenotypic changes. Our studies provide resolved understanding of leukemic clonal evolution and the relationships between genotype and cell state in leukemia biology.

cancer biology↗

bioRxiv2024

PTPN11 Mutation Clonal Hierarchy in Acute Myeloid Leukemia

Mutations in protein tyrosine phosphatase non-receptor type 11 (PTPN11) have been considered late acquired mutations in acute myeloid leukemia (AML) development. To interrogate the ontogeny of PTPN11 mutations, we utilized single-cell DNA sequencing and identified that PTPN11 mutations can occur as initiating events in some AML patients when accompanied by strong oncogenic drivers, commonly NPM1 mutations. The co-driver role of PTPN11 mutations was confirmed in a novel murine model that exhibits an AML phenotype with early expansion of a diverse set of variably differentiated myeloid cells that engrafted into immunodeficient and immunocompetent mice. This immune diversity was reconstituted from early precursor cells when engrafted into immunodeficient mice. Moreover, immune diversity was also observed in the blast component of patient samples with NPM1 and PTPN11 mutations, providing novel antigen targets for immune based approaches in this subset of AML that is resistant to multiple targeted therapies.

cancer biology↗

bioRxiv2020

HDAC1 regulates the chromatin landscape to establish transcriptional dependencies in chronic lymphocytic leukemia

HDAC1 is a key regulator of gene expression in cancer. We identified a critical role for HDAC1 in establishing the transcriptional dependencies essential for survival in chronic lymphocytic leukemia (CLL) by profiling HDAC1 with BRD4, H3K27Ac superenhancers, H4K9Ac, chromatin accessibility signatures, Pol2 measurements and expression signatures to generate a regulatory chromatin landscape. Superenhancers marked by high levels of acetylation and BRD4 paradoxically also recruited the highest levels of HDAC1. HDAC inhibition poisoned transcription at these loci to selectively disrupt B-cell transcription factors and B-cell receptor signaling. HDAC1 was also recruited genome-wide at promoters without superenhancers to repress expression; HDAC inhibition induces these genes which include key microRNA networks that reciprocally downregulate CLL specific survival and driver genes. Our work provides a compelling rationale for profiling HDAC1 across cancers to characterize its role in driving the transcriptional dysregulation that is a hallmark of most cancers and develop epigenetic therapeutic strategies. SignificanceOur work definitively establishes the composition of the regulatory chromatin that enables HDAC1 to function as an activator and repressor at distinct target genes within the same tumor to drive transcriptional dysregulation and allow the expression of B cell specific signaling and survival networks that are critical for survival.

cancer biology↗

bioRxiv2020

Characterization and Mitigation of Fragmentation Enzyme-Induced Dual Stranded Artifacts

High-throughput short-read sequencing relies on fragmented DNA for optimal sampling of input nucleic acid. Several vendors now offer proprietary enzyme cocktails as a cheaper and more streamlined method of fragmentation when compared to acoustic shearing. We have discovered that these enzymes induce the formation of library molecules containing regions of nearby DNA from opposite strands. Sequencing reads derived from these molecules can lead to artifact-derived variant calls appearing at variant allele frequencies less than 5%. We present Fragmentation Artifact Detection and Elimination (FADE), software to remove these artifacts from mapped reads and mitigate artifact-related effects on downstream analysis. We find that the artifacts principally affect downstream analyses that are sensitive to a 1-3% artifact bias in the sequencing reads, such as targeted resequencing and rare variant discovery. AvailabilityData are deposited at SRA under accession No. PRJNA602687 Software described in this manuscript is freely available at https://github.com/blachlylab/fade

bioinformatics↗