Search Results (201)

Clonal hematopoiesis of indeterminate potential (CHIP) is the clonal expansion of somatically mutated hematopoietic stem cells (HSCs) in the bone marrow. CHIP mutations are relatively common in multiple myeloma (MM) and have been identified as potential biomarkers for poorer survival outcomes. MM is a hematological malignancy that, despite treatment advances, remains aggressive and incurable for many patients. The potential impact of CHIP mutations on the outcomes of MM treatments has been the topic of several recent studies, yet both the magnitude and the modality by which CHIP exerts its negative effects on treatment and disease progression remain to be fully elucidated. Evidence suggests that CHIP mutations may contribute to inferior survival and treatment tolerances, as well as contribute to greater treatment toxicity and related frailty. In this review, we synthesize and discuss the available literature to provide an updated understanding of the complex role that CHIP plays in altering the MM microenvironment, and the resulting impact on standard MM treatments, autologous stem cell transplant (ASCT) and B-cell maturation antigen (BCMA)-targeted therapy/CAR-T, and the important role of immunomodulatory drug (IMiD) maintenance therapy in clinical outcomes. Full article

Background: Follicular lymphoma (FL) and diffuse large B-cell lymphoma (DLBCL) exhibit substantial heterogeneity, reflecting the diversity of the germinal center (GC). Histologic transformation of FL to DLBCL is associated with poor prognosis, yet robust biomarkers predicting transformation remain limited. Methods: We integrated single-cell DNA sequencing, single-cell RNA sequencing, and spatial transcriptomics in diagnostic lymph-node biopsies from non-transformed FL (ntFL), transformed FL (tFL), and DLBCL to characterize clonal states and immune niches in GC lymphomas. T-cell signatures associated with transformation were evaluated in an independently published single-cell FL dataset. Results: Transcriptional profiling revealed similarities between tFL and DLBCL, consistent with a GC-related malignant program. The tFL microenvironment showed enrichment of exhausted CD4⁺ regulatory and CD8⁺ effector T cells, together with CD4⁺ follicular helper T cells (Tfh) displaying an adhesion-related phenotype. Spatial analysis suggested increased proximity of exhausted/immunosuppressive T cells and enhanced Tfh-B-cell interactions in tFL compared with ntFL. These immune signatures were also observed in an external cohort and were associated with early transformation. In addition, clonal hematopoiesis-associated mutations were detected in microenvironmental cells across samples, suggesting a potential contribution to the lymphoma microenvironment. Conclusions: This work demonstrates the feasibility of integrating single-cell and spatial analyses in GC lymphomas and provides a framework for investigating tumor heterogeneity and immune organization. These findings may inform future studies on biomarker development and the rational design of immunotherapies. Full article

Background/Objectives: Clonal evolution is mainly defined based on the appearance or expansion of clones harboring specific somatic mutations and/or cytogenetic abnormalities, whereas few studies have investigated immunophenotypic heterogeneity assessed by flow cytometry and its relationship with disease progression. In this study, flow cytometry immunophenotyping of acute myeloid leukemia (AML) was carried out to identify phenotypic subclones based on antigen expression and to investigate clonal sweep. Methods: A total of 24 patients diagnosed with AML followed at the Hematology and Transplant Center of Salerno were included. Bone marrow or peripheral blood specimens were subjected to flow cytometry immunophenotyping and leukemic cell characterization. Phenotypic profiles were also compared to molecular alterations detected by next-generation sequencing. Results: We found that flow cytometry-defined clonal heterogeneity was more complex than molecular heterogeneity at diagnosis and disease relapse. Flow cytometry enabled the identification of small phenotypic subclones that were not detected by molecular profiling and that, in several cases, expanded over time, consistent with a phenotypic clonal sweep. The presence of small clones was associated with shorter progression-free survival and overall survival. Conclusions: Flow cytometric clonal heterogeneity, especially the presence of small clones (defined by antigen expression from 2 to 30%), may serve as an additional prognostic factor in AML. Immunophenotyping integrated with molecular data may improve risk stratification, enhance measurable residual disease assessment, and contribute to a more personalized disease monitoring strategy. Full article

Background/Objectives: Thoracic aortic aneurysms have long been associated with germline mutations such as FBN1, TGFBR2, and COL3A1, which predispose to Marfan, Loeys–Dietz, and Ehlers–Danlos syndromes, respectively. However, recent research has identified a correlation between the JAK2 V617F somatic mutation and thoracic aortic aneurysm formation. This review aims to synthesize the current evidence on the relationship between JAK2 V617F and TAA development. Methods: A literature review was conducted using PubMed reviewed articles up to June 2025. Search terms included “thoracic aortic aneurysm”, “somatic mutations” and “JAK2 V617F”. Relevant clinical datasets and population-based cohort studies were identified and evaluated. Results: The available studies demonstrated a consistent association between JAK2 V617F and thoracic aortic aneurysm formation, with JAK2 V617F variant allele frequency (VAF) being a valuable biomarker of aneurysm risk. The mutation is accompanied by the onset of increased cytokine production, pro-inflammatory leukocytes, and elevated expression levels of MMPs—all of which drive elastin degradation and are classically associated with thoracic aortic aneurysm development. Conclusions: Compelling emerging evidence supports an association between the JAK2 V617F somatic mutation and the formation of thoracic aortic aneurysms, with VAF acting as a valuable biomarker for aneurysm risk. However, no studies have evaluated whether increasing VAF influences aneurysm growth rate, highlighting the need for future clinical research. Full article

Background: Liquid biopsy using circulating tumor DNA (ctDNA) is rapidly reshaping gastrointestinal (GI) oncology. The highest-impact applications are molecular residual disease (mRD) detection after curative-intent therapy and early recognition of progression or resistance during systemic treatment. Methods: We performed a structured, clinically oriented narrative synthesis by using explicit search, eligibility, evidence prioritization, and clinical interpretation rules, integrating landmark prospective cohorts, randomized ctDNA-guided strategy trials where available, meta-analyses, key methodological research (e.g., pre-analytics, assay design, and clonal hematopoiesis (CH)/clonal hematopoiesis of indeterminate potential (CHIP)), and selected trial registries. Results: In resected colorectal cancer (CRC), postoperative ctDNA positivity is among the strongest known biomarkers of recurrence risk; large prospective studies demonstrate clear separation of disease-free survival (DFS)/overall survival (OS) between mRD+ and mRD− patients. In stage II colon cancer, randomized data (DYNAMIC) show that a ctDNA-guided strategy reduces adjuvant chemotherapy exposure without compromising long-term outcomes. In metastatic CRC, ctDNA supports early response monitoring and resistance tracking; ctDNA-selected anti-EGFR rechallenge provides a model of biomarker-driven actionability (CHRONOS). In gastroesophageal cancers, longitudinal ctDNA dynamics correlate with relapse risk and treatment efficacy, and in esophageal squamous cell carcinoma, ctDNA after neoadjuvant chemoradiotherapy informs residual disease risk and adjuvant stratification. In pancreatic ductal adenocarcinoma and hepatobiliary malignancies, sensitivity is constrained by low shedding and background cell-free DNA (cfDNA), yet ctDNA positivity remains clinically meaningful, and emerging data in resected extrahepatic cholangiocarcinoma (STAMP-linked analyses) show that ctDNA dynamics during adjuvant therapy predict recurrence. Conclusions: ctDNA is a clinically validated biomarker for mRD in CRC, whereas in other GI cancers, it remains a promising but methodologically heterogeneous tool whose clinical utility is tumor- and context-dependent. The next phase requires interventional trials demonstrating outcome improvement, harmonized sampling and reporting standards, and rigorous control of confounders (notably CH/CHIP). Full article

Clonal hematopoiesis (CH) is the expansion of clones from a single hematopoietic stem cell (HSC) in the bone marrow. Clonal hematopoiesis of indeterminate potential (CHIP) refers to CH defined by the presence of pre-leukemic driver mutations in at least 2% of alleles in sequenced peripheral blood. This phenomenon is, by definition, associated not only with the future development of acute myeloid leukemia but also with non-malignant conditions, including cardiovascular disease. However, the underlying molecular mechanisms for CH in non-malignant diseases, such as cardiovascular disease, are not fully explained. Certain subtypes of CHIP may give rise to proinflammatory immune cells, which, in turn, may promote atherosclerosis progression. Key subtypes of CHIP include mutations in genes encoding epigenetic regulators DNMT3A (DNA methyltransferase 3A), TET2 (ten-eleven translocation methylcytosine dioxygenase 2), and ASXL1 (associated sex combs-like 1), as well as mutations in the gene encoding hematopoietic cytokine signaling: JAK2 (Janus kinase 2). The aim of this review is to summarize the current knowledge of CHIP and its association with inflammation and cardiovascular risk factors. Full article

Blood platelets are derived from megakaryocytes with functions extending beyond hemostasis to inflammation, immunity, and cancer. Myeloproliferative neoplasms (MPNs) are clonal stem cell disorders driven by somatic mutations affecting JAK-STAT signaling, leading to excessive myeloid proliferation. Thrombosis affects approximately one-fifth of patients at diagnosis and remains elevated throughout the disease course, while the paradoxical coexistence of bleeding further complicates clinical management. In addition, MPNs may progress to advanced disease stages, including bone marrow fibrosis and transformation to acute myeloid leukemia, leading to ineffective hematopoiesis, worsening symptom burden, and poor clinical outcomes. This review outlines how peripherally circulating platelets provide a unique window into MPN pathophysiology, with emphasis on their functional and molecular abnormalities. We summarize current understanding of platelet-mediated hemostatic imbalance across MPN subtypes. We discuss the potential of platelet transcriptomics and proteomics to reveal disease-specific signatures. We further highlight emerging platelet-associated candidates with potential utility as dynamic biomarkers for both the pathological marrow niche and thrombotic and bleeding risk. Together, these insights underscore the potential of platelet-based approaches to complement existing diagnostic and prognostic strategies in MPNs. Full article

Pulmonary embolism (PE) is biologically heterogeneous. Despite guideline-directed anticoagulation, a subset of patients develops recurrent venous thromboembolism, persistent exertional limitation, residual perfusion defects, and progression to chronic thromboembolic pulmonary disease (CTEPD) or chronic thromboembolic pulmonary hypertension (CTEPH). Conventional risk factors explain much of the index event but incompletely account for thrombus non-resolution and chronic sequelae. Clonal hematopoiesis of indeterminate potential (CHIP)—the age-associated expansion of hematopoietic clones carrying somatic mutations—defines a measurable thrombo-inflammatory endophenotype that is strongly genotype- and clone-size (variant allele frequency; VAF)-dependent. Across human studies, JAK2-CHIP and TET2-CHIP show the most consistent associations with VTE/PE, whereas isolated DNMT3A-CHIP is frequently neutral, and larger clones tend to confer stronger effects. Mechanistically, CHIP can bias myeloid cells toward inflammasome/IL-1β signaling and endothelial activation, increase monocyte tissue factor activity, and promote immunothrombosis with neutrophil extracellular trap (NET) formation. NET-rich thrombi may adopt a dense fibrin–DNA–histone architecture that resists endogenous fibrinolysis, favoring organization and persistence. CTEPH offers a translational window to interrogate this model because thrombotic material and deep phenotyping are accessible. We synthesize genotype- and VAF-resolved clinical and mechanistic evidence using a structured strength-of-evidence framework and propose a pragmatic phenotyping roadmap with testable predictions for prospective post-PE validation. CHIP testing in PE/CTEPH remains investigational and should not currently change standard care. Full article

Chronic lymphocytic leukemia (CLL) is uncommon in Asia, and longitudinal genomic data from Asian cohorts are limited. We conducted serial whole-exome sequencing (WES) in a multicenter Korean cohort of newly diagnosed, elderly CLL treated with chlorambucil–obinutuzumab to evaluate mutational heterogeneity and clonal hematopoiesis of indeterminate potential (CHIP) during treatment and follow-up. Tumor-only variants were filtered, restricted to nonsynonymous or loss-of-function coding/splice-site mutations, and summarized as a binary patient-by-gene matrix for principal component analysis (PCA), trajectory analysis, and k-means clustering. CHIP was defined as ≥1 qualifying mutation in a prespecified CHIP gene set. Baseline PCA was more compact in patients with complete response at end of treatment, whereas partial response or progressive disease cases were more dispersed. PCA trajectories were compact and directionally consistent in complete responders, more dispersed in partial responders, and highly heterogeneous without a dominant direction in progressive disease. Clustering identified dispersed and compact clusters, and CHIP-associated mutations were enriched in the dispersed cluster (55.6% vs. 8.3%, Fisher’s exact p = 0.0086). In paired samples collected 3–5 months after end of treatment, CHIP status changed in some patients. Serial WES may provide complementary information to treatment response, although these observations require confirmation in larger cohorts. Full article

Background: In acute myeloid leukemia (AML), the most sensitive measurable residual disease (MRD) methods are single-gene approaches, but these are applicable only in ~60% of AML cases. Methods: We applied multi-omics single-cell analysis on diagnostic and first remission samples to identify leukemia-specific molecular markers for subsequent MRD monitoring in six AML patients lacking AML-defining variants. Results: Five selection criteria were defined to identify suitable MRD markers. Markers of primordial leukemic clones were identified by combining data from single-cell sequencing and immunophenotyping. Specific markers suitable for use in MRD follow-up were identified in 6/6 patients, in some cases in myelodysplasia-related genes and clonal hematopoiesis-related genes usually not recommended for use in MRD determinations. Patient-specific ddPCR (limits of detection: 0.06–0.0011%) or EC-NGS assays correlated with therapeutic responses: 0/4 markers displayed molecular relapses in three non-relapsing patients, contrary to 4/4 markers of three relapsing patients. Of these, 3/4 and 1/4 markers detected molecular relapses earlier than or simultaneous with conventional methods, respectively (−115 to −338 days). Conclusions: Our results demonstrate that single-cell subclonal mapping at diagnosis and during first remission enables selection of reliable MRD targets for personalized disease surveillance in patients lacking conventional MRD markers. Full article

Myelodysplastic syndromes (MDSs) are clonal hematopoietic disorders characterized by ineffective hematopoiesis and their diagnosis remains challenging, requiring integration of clinical, morphological, and genetic data. MicroRNAs (miRNAs) have emerged as potential biomarkers in MDS, offering insights into disease mechanisms and patient stratification. This study aimed to evaluate the diagnostic and prognostic significance of five plasma microRNAs (miR-22-3p, miR-144-3p, miR-16-5p, let-7a-5p, and miR-451a) in 40 patients with MDS, diagnosed according to WHO 2016 criteria and stratified by R-IPSS, and ten healthy controls. Plasma miRNA levels were measured by RT-qPCR. Expression profiles were compared between patients and controls, and further assessed in relation to disease subtypes, risk categories, and clinicopathological features. Expression analysis showed that miR-144-3p, miR-16-5p, let-7a-5p, and miR-451a were significantly lower in MDS patients compared to controls. MiR-451a demonstrated the highest diagnostic predictive value (p = 0.0022), followed by miR-16-5p (p = 0.0055), miR-144-3p (p = 0.0074), and let-7a-5p (p = 0.0092). Let-7a-5p was higher in MDS with excess blasts and both let-7a-5p and miR-451a were lower in the low-risk R-IPSS group. Strong correlations between miR-16-5p, miR-144-3p, and miR-451a were observed, probably reflecting their function in erythropoiesis. None of the investigated microRNAs showed independent prognostic significance for overall survival. In conclusion, circulating microRNAs, particularly miR-451a and let-7a-5p, show promise as supportive biomarkers that may complement existing diagnostic and risk assessment tools in MDS. Further studies are needed to validate their clinical applicability. Full article

Dilated cardiomyopathy (DCM) is a leading cause of heart failure and heart transplantation and is characterized by marked clinical and etiological heterogeneity. Recent studies have expanded the understanding of DCM from a predominantly monogenic disorder to a multifactorial disease shaped by genetic susceptibility and acquired or environmental “second hits”. Beyond rare pathogenic variants, emerging evidence highlights the contribution of clonal hematopoiesis of indeterminate potential to inflammation-driven adverse cardiac remodeling and disease progression. These secondary modifiers interact with pre-existing genetic backgrounds to amplify shared downstream pathways. In parallel, advances in mechanism-informed therapies are increasingly translating these insights into clinical practice. Beyond guideline-directed medical and device therapy, emerging approaches targeting specific molecular pathways, including sarcomeric modulators, inflammatory signaling, and gene- or cell-based interventions, illustrate a shift toward more personalized and stage-specific management of DCM and heart failure. This review aims to provide an updated overview of recent advances in the molecular mechanisms and diagnosis underlying DCM and discuss their implications for current and emerging therapeutic strategies. Full article

Survival rates for children, adolescents, and young adults (CAYA) with cancer have markedly improved over recent decades, resulting in a rapidly growing population of long-term survivors. However, many of these individuals experience late and long-term treatment-related effects that resemble conditions typically associated with advanced age, including cardiovascular disease, endocrine dysfunction, neurocognitive impairment, and secondary malignancies. This clinical constellation has led to the concept of therapy-induced accelerated aging, suggesting that cancer treatments provoke biological changes that mirror, and may accelerate, physiological aging processes. In this review, we examine current evidence for aging-associated molecular hallmarks in CAYA cancer survivors, focusing on epigenetic alterations, genomic instability, chronic inflammation, cellular senescence, telomere attrition, and mitochondrial dysfunction. Epigenetic age acceleration is consistently observed across multiple survivor cohorts and correlates with treatment exposures, lifestyle factors, and chronic health conditions, positioning DNA methylation-based clocks as promising integrative biomarkers. Likewise, clonal hematopoiesis—reflecting persistent genomic stress—appears enriched in survivors, particularly decades after therapy, and may serve as an indicator of long-term cardiovascular and hematologic risk. Immune dysregulation, inflammaging, and senescence markers further underscore the systemic impact of cancer therapies on biological aging pathways. While telomere shortening and mitochondrial alterations also contribute to this phenotype, their standalone biomarker utility remains limited. Together, these hallmarks highlight the multifaceted nature of accelerated aging in CAYA survivors. Future work integrating multi-omics biomarkers with clinical phenotyping will be essential to identify high-risk individuals, guide targeted interventions, and advance personalized survivorship care. Full article

Acute myeloid leukemia (AML) is a biologically heterogeneous and clinically aggressive hematologic malignancy defined by the clonal expansion of immature myeloid progenitors, resulting in progressive bone marrow (BM) failure, peripheral cytopenias, and fatal infectious or hemorrhagic sequelae. The adverse clinical outcomes associated with AML arise from the combined effects of disrupted physiological hematopoiesis, persistence of therapy-refractory leukemic stem cells (LSCs), and extensive inter- and intratumoral genetic and epigenetic heterogeneity that underlies rapid disease progression and relapse. AML constitutes a prototypical disorder of hematopoietic dysregulation, wherein aberrant self-renewal capacity and arrested differentiation programs drive malignant transformation through the integrated influence of recurrent genomic lesions, epigenetic reprogramming, metabolic alterations, dysregulated signaling cascades, and reciprocal interactions with the BM microenvironment. These processes collectively reconfigure transcriptional landscapes and cellular hierarchies within the leukemic compartment. The objectives of this review are to provide an integrated framework for understanding AML pathobiology encompassing chromosomal abnormalities, transcriptional and epigenetic regulatory networks, and microenvironmental cues and to emphasize emerging analytical paradigms, including integrative multi-omics, single-cell and spatial technologies, and system-level approaches, which are reshaping conceptual models of malignant hematopoiesis and accelerating the development of mechanism-based therapeutic strategies. Full article