Incidence and predictors of anthracycline-related left ventricular dysfunction in acute myeloid leukemia.

INTRODUCTION: Anthracycline-related left ventricular dysfunction (ARLVD) is a concern in patients with acute myeloid leukemia (AML) undergoing anthracyclinecontaining induction chemotherapy. However, the incidence of ARLVD in the modern era of routine pretreatment left ventricular ejection fraction (LVEF) echocardiographic assessment, as well as the clinical and genetic predictors of ARLVD are not well understood. METHODS: Consecutive adult patients with AML receiving anthracycline-containing induction chemotherapy at the Dana-Farber Cancer Institute from 2014 to 2022 were studied. Inclusion criteria included availability of a pre and post chemotherapy echocardiogram to assess the LVEF, pre-treatment LVEF > 50 %, as well as comprehensive diagnostic next generation sequencing assessing for the presence of myeloid mutations. The primary endpoint was the incidence of ARLVD defined as LVEF < 50 % post-induction. RESULTS: Out of 419 patients meeting inclusion criteria, 34 (8%) patients developed ARLVD. Among the 122/419 patients who did not undergo planned allogeneic stem cell transplantation (allo-SCT), ARLVD was the deciding factor for ineligibility in 4 patients (1%). Baseline cardiovascular comorbidities (hypertension, diabetes mellitus, hyperlipidemia, smoking and coronary artery disease) and cumulative anthracycline dose were not predictive of post-induction ARLVD. However, the presence of a JAK2 mutation (but not other myeloid mutations) was associated with an increased risk of ARLVD in multivariable analysis (OR 8.34, 95 % CI 1.55-39.3, p = 0.007). DISCUSSION: In a group of AML patients with normal LVEF prior to anthracycline-containing induction chemotherapy, ARLVD was infrequent and did not commonly preclude post-remission allo-SCT consolidation. Genetic predictors of ARLVD require further investigation in a larger patient cohort.

Epidemiology and Pathogenesis of Myelodysplastic Syndrome.

ABSTRACT: Myelodysplastic syndrome (MDS) is a clonal disorder characterized by ineffective hematopoiesis and variable cytopenias with a considerable risk of progression to acute myeloid leukemia. Epidemiological assessment of MDS remains challenging because of evolving classification systems, but the overall incidence in the United States is estimated to be approximately 4 per 100,000 and increases with age. The sequential accumulation of mutations drives disease evolution from asymptomatic clonal hematopoiesis (CH) to CH of indeterminate potential, clonal cytopenia of unknown significance, to frank MDS. The molecular heterogeneity seen in MDS is highly complex and includes mutations of genes involved in splicing machinery, epigenetic regulation, differentiation, and cell signaling. Recent advances in the understanding of the molecular landscape of MDS have led to the development of improved risk assessment tools and novel therapies. Therapies targeting the underlying pathophysiology will hopefully further expand the armamentarium of MDS therapeutics, bringing us closer to a more individualized therapeutic approach based on the unique molecular profile of each patient and eventually improving the outcomes of patients with MDS. We review the epidemiology of MDS and the newly described MDS precursor conditions CH, CH of indeterminate potential, and CCUS. We then discuss central aspects of MDS pathophysiology and outline specific strategies targeting hallmarks of MDS pathophysiology, including ongoing clinical trials examining the efficacy of these therapeutic modalities.

Yield and Predictors of Surveillance Colonoscopies in Older Adults With Long-standing Ulcerative Colitis.

BACKGROUND & AIMS: Although colonoscopies for dysplasia surveillance are standard of care in patients with long-standing ulcerative colitis (UC), there is a paucity of data on the yield of surveillance colonoscopies in those older than 75 years of age. METHODS: We conducted a multicenter retrospective cohort study including patients with UC who underwent ≥1 colonoscopy at age ≥75 years. The primary outcome was diagnosis of dysplasia (visible or random) and colorectal cancer. Multivariable regression adjusted for relevant confounders examined the predictors of polypoid or non-polypoid dysplasia or colorectal cancer. RESULTS: The primary cohort included 211 patients with UC who underwent 635 colonoscopies after age ≥75 years. A total of 83 patients (39.3%) patients had dysplasia or cancer detected. Among colonoscopies, 123 (19.4%) identified visible dysplasia, 23 (3.6%) had random dysplasia (1 high-grade dysplasia found in each group, respectively), and 5 (0.8%) had colon cancer. In multivariable analysis, prior adenoma or colon cancer below age 75 tears (odds ratio [OR], 2.06; 95% confidence interval [CI], 1.07-3.96), flat dysplasia before 75 years (OR, 2.78; 95% CI, 1.05-7.44), and older age (80-84 years (OR, 2.29; 95% CI, 1.20-4.38), ≥85 years (OR, 3.54; 95% CI, 1.27-9.82) were associated with detection of dysplasia or cancer. Only 1 patient was noted to have a procedure-related complication. CONCLUSIONS: Patients with long-standing UC without prior dysplasia may have a low yield on continued endoscopic surveillance at age ≥75 years. A targeted approach to surveillance may be appropriate in older individuals with UC.

Large-scale functional organization of long-range chromatin interaction networks.

Chromatin interactions play important roles in transcription regulation. To better understand the underlying evolutionary and functional constraints of these interactions, we implemented a systems approach to examine RNA polymerase-II-associated chromatin interactions in human cells. We found that 40% of the total genomic elements involved in chromatin interactions converged to a giant, scale-free-like, hierarchical network organized into chromatin communities. The communities were enriched in specific functions and were syntenic through evolution. Disease-associated SNPs from genome-wide association studies were enriched among the nodes with fewer interactions, implying their selection against deleterious interactions by limiting the total number of interactions, a model that we further reconciled using somatic and germline cancer mutation data. The hubs lacked disease-associated SNPs, constituted a nonrandomly interconnected core of key cellular functions, and exhibited lethality in mouse mutants, supporting an evolutionary selection that favored the nonrandom spatial clustering of the least-evolving key genomic domains against random genetic or transcriptional errors in the genome. Altogether, our analyses reveal a systems-level evolutionary framework that shapes functionally compartmentalized and error-tolerant transcriptional regulation of human genome in three dimensions.