Oncogenesis

Background: Relapsed and refractory osteosarcoma (OS) remains a major therapeutic challenge, with fewer than 20% of patients surviving beyond 3 years. Increasing evidence indicates that MYC amplification/overexpression is associated with inferior survival. Small molecule inhibitors and immunotherapies have limited single-agent efficacy in pediatric solid tumors. Using syngeneic cell lines derived from p53-driven and MYC-hyperactivated genetically engineered mouse models (GEMMs) of OS, we tested cabozantinib, a multi-tyrosine kinase inhibitor with immunomodulatory properties, with TIGIT immune checkpoint blockade and investigated mechanisms underlying therapeutic response and resistance. Methods: In vitro cabozantinib sensitivity was established in GEMM-derived cell lines. Mice bearing tibial tumors were randomized to vehicle control, cabozantinib, anti-TIGIT antibody, or combination therapy, and tumor growth and survival assessed after a 3-week treatment period. Temporal RNA sequencing was performed at early (8-15 days) and late (18-24 days) time points to characterize transcriptomic changes associated with efficacy. Results: MYC-hyperactivated cell lines were more resistant to cabozantinib in vitro than p53-driven lines (mean IC50 5.51 vs 0.65 mciroM, p=0.0016). In p53-driven orthotopic models, combination therapy significantly decreased tumor growth and improved survival compared to solvent and cabozantinib alone, while in MYC-hyperactivated models cabozantinib-containing regimens delayed tumor progression relative to control or anti-TIGIT monotherapy, however the addition of anti-TIGIT did not significantly improve survival over cabozantinib alone. Temporal transcriptomics revealed upregulated anti-tumor immune-response pathways and decreased M2 macrophages only with combination treatment in the p53-driven model. In contrast, combination-treated MYC-hyperactivated models demonstrated increased TNF signaling and elevated Cxcl5 and Ccr2 expression, indicative of increased myeloid cell recruitment, and upregulation of extracellular matrix (ECM) remodeling pathways suggest a therapy-induced stress adapted state that propagates treatment resistance over time. Conclusion: New therapies are needed for patients with relapse or refractory OS. By targeting tumor-intrinsic resistance mechanisms and modulating the tumor microenvironment using cabozantinib and anti-TIGIT therapy, improved tumor control and survival was achieved in p53-driven orthotopic OS models. MYC-hyperactivated models were able to overcome therapeutic pressure and employ myeloid recruitment and ECM remodeling programs to achieve treatment resistance. Targeting of these programs should be considered in future studies investigating therapeutic strategies in relapsed and refractory OS.

Purpose: Lung metastases are the primary cause of death in osteosarcoma patients and treatment response often vary due to convergence of genetic and phenotypic influences in the context of a dynamic tumor-host tissue environment. The purpose of this study was to determine how dynamic tumor- and host-driven receptor tyrosine kinase (RTK)-ERK signaling interactions contribute to phenotypic drug response heterogeneity. Experimental Design: Live-cell time-lapse microscopy and data-driven dynamical modeling was used to resolve ERK activity, FOSL1/Fra-1 reporter expression, and spatiotemporal cell fate in living, biosensor-expressing osteosarcoma lung metastases ex vivo following MCL1 inhibitor exposure. RTK inhibitors were then evaluated for their ability to suppress adaptive signaling and enhance MCL1 inhibitor efficacy ex vivo and in vivo. Results: MCL1 inhibition induced extensive tumor-cell death; however, persistent ERKhigh/Fra-1high reporter cells emerged and were enriched at the tumor-lung interface, consistent with adaptive resistance. Experimental and computational approaches revealed that tumor-cell lysis amplified fibroblast growth factor receptor (FGFR)-mediated ERK signaling in neighboring cells, promoting a targetable drug-resistant state marked by adaptive ERK induction, FOSL1/Fra-1 expression, and correlated with upregulation of known drug resistance pathways Nrf2 and HMOX1. Combinatorial inhibition of FGFR with fexagratinib, or broad-spectrum RTK inhibitor, pazopanib, suppressed adaptive ERK activation and enhanced MCL1 inhibitor response resulting in greater efficacy ex vivo and in vivo. Conclusions: Tumor-host and tumor-cell-lysis-induced FGFR-ERK signaling contribute to spatiotemporally heterogeneous adaptive resistance in metastatic osteosarcoma. These data support combinatorial targeting of RTK signaling with cytotoxic or targeted agents as a strategy to block adaptive resistance and improve treatment efficacy.

Background: Giant cell tumor of bone (GCTB) is an intermediate osteolytic neoplasm characterized by a high rate of local recurrence. The tumor comprises two main cell populations: neoplastic stromal cells and osteoclast-like giant cells. Current adjuvant therapies primarily target osteoclast-like giant cells but have limited activity against the neoplastic stromal cells that drive tumor growth and recurrence. Here, we sought to identify actionable vulnerabilities in GCTB stromal cells by profiling druggable receptor tyrosine kinases (RTKs) and associated signaling pathways and evaluating their pharmacological inhibition in patient-derived in vitro models. Methods: RTK activation and downstream signaling were assessed using phospho-protein arrays and western blotting in therapy-naive and denosumab-treated GCTB patient samples and in patient-derived GCTB cell lines, representing clinically relevant models of the neoplastic component. Tyrosine kinase inhibitors (TKIs) targeting activated pathways were evaluated in patient-derived GCTB cell lines cultured under both two-dimensional (2D) and three-dimensional (3D) conditions. Effects on cell viability, proliferation, cell cycle distribution, and cell death were assessed using MTT and XTT assays, flow cytometry, live-cell imaging, and confocal microscopy. Results: Several activated RTKs, including EGFR, IGF-IR, InsR, PDGFR, and PDGFR{beta}, together with downstream signaling proteins MEK1/2 and ERK1/2, were identified as potential therapeutic targets. Among the inhibitors tested, trametinib, a MEK1/2 inhibitor, and axitinib, a multi-target inhibitor of VEGFR1-3, PDGFR{beta}, and c-Kit, demonstrated the strongest antiproliferative and cytotoxic effects, markedly reducing cell viability and proliferation while promoting cell death in vitro. Importantly, trametinib showed selective activity against GCTB stromal cells compared with healthy controls, suggesting a potential therapeutic window. Conclusions: This study identifies trametinib and axitinib as promising therapeutic candidates for targeting the neoplastic component of GCTB. Our findings provide a rationale for further preclinical and clinical evaluation of RTK-directed therapies to complement current treatments and specifically target the neoplastic GCTB stromal cells underlying tumor persistence and recurrence.

Soft tissue sarcomas (STS) are a heterogeneous group of mesenchymal malignancies with generally poor prognosis, raising a continued interest in novel therapeutic targets. The TAM-family receptor tyrosine kinase AXL has been proposed as a therapeutic target across several cancer types, including STS. Here we revisit the clinical relevance of AXL in STS by combining in silico analyses with functional and transcriptomic characterisation of two representative AXL inhibitors, dubermatinib and bemcentinib, in the HT-1080 and SK-LMS-1 STS-derived cell models. STS ranked among the tumour types with the highest median AXL mRNA expression across The Cancer Genome Atlas, yet AXL expression was not associated with patient survival. Both dubermatinib and bemcentinib reduced cell viability and induced apoptosis but, unexpectedly, shRNA-mediated AXL knockdown failed to reproduce the antiproliferative effect of either inhibitor and did not modify cellular sensitivity to drugs treatment. Transcriptomic profiling after AXL genetic knockdown showed weak correlation with drug-induced transcriptional changes, with the large majority of drug-regulated genes being AXL-independent and largely specific to each cell line. Our data indicate that although dubermatinib and bemcentinib show clear antitumour activity in STS models, this activity is largely independent from AXL inhibition, suggesting the rationale for AXL-directed therapy may be reconsidered.

Germline mutations in the RNA helicase DDX41 are the most common genetic predisposition to myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML), representing 5-7% of AML. Over 70% of patients acquire a somatic mutation at specific hotspots (R525H/G530D) in the helicase domain of DDX41 in trans, which is linked to disease progression. DDX41 has diverse cellular functions, including RNA splicing, ribosome biogenesis, R-loop resolution and inflammation. However, the mechanisms by which somatic DDX41 mutations drive MDS/AML pathogenesis are yet to be determined. Here, we systematically evaluated the function of pathogenic, missense germline and somatic DDX41 mutations. We report that DDX41 somatic mutations are gain of function alleles and fail to rescue AML cell growth, distinct from germline DDX41 mutations. DDX41 somatic mutations R525H and G530D drive widespread splicing changes in isogenic AML cell lines, consistent in genetically engineered murine bone marrow HSPCs and CD34+ cells from DDX41-mutant MDS/AML patients. Mechanistically, DDX41-R525H exhibits increased RNA binding affinity compared to wildtype, with aberrantly spliced RNA targets overlapping with enriched binding. Strikingly, aberrant splicing of SEPTIN7 is enriched exclusively in CD34+ HSPCs of patients harboring both germline and somatic DDX41 mutations but absent in samples with germline mutation alone or lacking DDX41 mutations altogether. SEPTIN7 mis-splicing introduces a premature stop codon resulting in its downregulation at the protein level. SEPTIN7 is a known regulator of cytokinesis, HSC polarity and repopulation capacity. Our results identify a novel mis-spliced candidate, SEPTIN7, whose deregulation implicates a mechanism by which the DDX41 somatic mutations promote dysplastic hematopoiesis.

Myocardin (MYOCD) is the principal trigger-switch for vascular smooth muscle cell (VSMC) growth arrest and the cyto-contractile program of differentiation. While much is known about MYOCD-dependent VSMC differentiation, limited information exists as to its transcriptional regulation. Here, we report moderate mRNA expression of Myeloid Ecotropic viral Integration Site 1 (MEIS1) in both human and mouse VSMCs. MEIS1 mRNA is reduced in parallel with myocardin mRNA and protein under conditions of VSMC de-differentiation. Loss- and gain-of-Meis1 expression studies in cultured human VSMCs and the mouse carotid artery support MEIS1 as an activator of myocardin and VSMC differentiation. CRISPR-mediated knockout of the endogenous Meis1 gene in vitro and elicited lower levels of VSMC contractile markers and an increase in growth rate. Similarly, Femoral artery wire injury, in mice lacking Meis1 showed and increased of neointima formation. Mechanistically, we identified a conserved MEIS1 response element in the proximal promoter of myocardin, that appears to contribute to the promoter activity, suggesting a potential regulatory interaction. These results suggest a previously unrecognized role for the homeodomain protein MEIS1 in the activation of myocardin and the quiescent, VSMC differentiated state.

Neuroblastoma is the most common extracranial solid tumor of childhood. Its clinical behavior ranges from spontaneous regression to lethal, treatment-refractory disease. Aberrant 2,6-sialylation contributes to aggressive phenotypes in many cancers, but the role of ST6Gal2, a neural-enriched 2,6-sialyltransferase, in neuroblastoma is largely unexplored. Here, we examine the clinical and functional significance of ST6Gal2 in neuroblastoma. In two independent public cohorts (SEQC, n=498; Kocak, n=649), high ST6GAL2 expression was associated with significantly worse overall and event-free survival. In the SEQC cohort, ST6GAL2 expression was higher in high-risk and MYCN-amplified tumors, varied across International Neuroblastoma Staging System stages, and correlated positively with a mesenchymal transcriptional signature (Spearman {rho}=0.181). The mesenchymal correlation was reproduced in the Kocak cohort ({rho}=0.204). Stable shRNA-mediated knockdown of ST6GAL2 in SK-N-AS and SK-N-BE(2) cells reduced proliferation and viability, impaired wound closure, and decreased migration and invasion. In preliminary experiments in SK-N-AS cells, ST6GAL2 knockdown reduced binding of Sambucus nigra agglutinin, consistent with a role for ST6Gal2 in 2,6-sialylation. Together, these findings link ST6Gal2 expression to aggressive clinical and transcriptional features and pro-tumorigenic phenotypes in neuroblastoma and nominate ST6Gal2-mediated sialylation as a candidate pathway for mechanistic study.

Background: Epigenetic deregulation is a defining feature of leukemia, and DNA methylation and chromatin accessibility profiles encode the cell of origin, lineage and clinical behaviour of the disease. Artificial intelligence (AI) and machine learning (ML) can extract predictive patterns from these high-dimensional data, but the published models have not been systematically appraised. We systematically reviewed AI models built on epigenomic data in leukemia for diagnosis, prognosis, relapse and treatment-response prediction, and measurable residual disease (MRD) detection. Methods: This review followed PRISMA 2020 and the SWiM guideline. PubMed was searched on 7 October 2026 with three structured queries, supplemented by a broader PubMed query, citation searching and web searching. Eligible studies were peer-reviewed primary studies that applied an ML or deep-learning algorithm to DNA methylation, chromatin-accessibility or histone-modification data from human leukemia samples and reported a quantitative diagnostic, prognostic, response or MRD outcome. Risk of bias and applicability were assessed with PROBAST, informed by PROBAST+AI. Owing to heterogeneity, results were synthesized narratively and in structured tables, without meta-analysis. Results: Of 68 unique database records and 32 reports from other sources, 30 studies (2010-2026; 22 since 2020) were included: 16 in acute myeloid leukemia, 4 in acute lymphoblastic leukemia, 2 spanning acute leukemia lineages, 3 in juvenile myelomonocytic leukemia and 5 in chronic lymphocytic leukemia; 10 were pediatric. DNA methylation was the input in 28 studies and chromatin accessibility in 2; no eligible study modelled histone marks. Tree ensembles (n = 9) and support vector machines (n = 5) were the most frequent algorithms. Diagnostic classifiers reported accuracy, concordance or F1 scores of 0.87-1.00, and two classifiers were applied to nanopore sequencing data, one returning acute leukemia subtype calls within about 2 hours. Prognostic epigenomic scores were associated with survival (reported hazard ratios 2.36-10.82), but discrimination fell on transport to independent cohorts (C-index 0.677 internally vs 0.529 in one external cohort). Fifteen studies validated models on an external epigenomic cohort, one prospectively. Overall risk of bias was high in 21 studies, unclear in 8 and low in 1, driven by the analysis domain (small samples, absent calibration, possible data leakage). Calibration was reported in 3 studies and code was available for 11. Conclusions: Epigenomic AI models classify leukemia subtypes with high reported accuracy and can deliver same-day diagnoses, and methylation-based scores add prognostic information. However, the evidence is dominated by retrospective, high-risk-of-bias development studies with limited external validation and almost no prospective or impact evaluation. Prospective, multi-center validation with calibrated, transparently reported models is required before clinical adoption.

CBFA2T3-GLIS2 (C/G) defines a high-risk pediatric AML subtype in which de novo enhancer rewiring sustains an aggressive leukemic transcriptional state. The early epigenomic mechanisms reinforcing this program and linking it to leukemic survival remain incompletely defined. Here, we identify enhancer-proximal hypermethylation as a noncanonical, transcription-permissive feature of C/G AML. Using primary C/G-positive AML samples and a developmentally relevant C/G-transformed cord blood hematopoietic stem/progenitor cell model, we integrated DNA methylation, chromatin state, fusion occupancy, and gene expression across early and leukemia-stage contexts. Early C/G-associated hypermethylated regions localized near H3K27ac/H3K4me1-marked active or primed cis-regulatory elements, were enriched for ERG/ETS-like motifs, and showed related architecture in leukemia-stage contexts. DNMT3B was prominently increased in C/G contexts, and its loss selectively altered methylation-associated gene expression without measurably changing global 5mC. Genetic DNMT3B loss increased venetoclax sensitivity in vitro, while pharmacologic DNMT3B inhibition with Nanaomycin-A similarly enhanced venetoclax response. During venetoclax treatment, DNMT3B-deficient xenografts showed reduced disease burden and prolonged survival. To assess whether this interaction extended to clinically used hypomethylating agents, azacitidine or decitabine plus venetoclax induced apoptosis-related transcriptional programs and mitochondrial depolarization. These findings identify hypermethylated active cis-regulatory elements as C/G-associated states linked to transcriptional dysregulation and venetoclax response.

Adult T-cell leukemia/lymphoma (ATL) is an aggressive HTLV-1-associated malignancy with poor responses to chemotherapy. Although constitutive NF-kB activation is a hallmark of ATL, its persistence in tax-negative (Type I) ATL, where Tax is irreversibly silenced, remains unresolved. Here, we identify Fra-2 as a coactivator of NF-kB p65 that redirects p65's transcriptional activity toward inflammatory genes. Mechanistically, Fra-2 interacts with the Rel homology domain of p65 via its bZIP domain, enhancing p65 DNA-binding activity without altering nuclear localization. The HTLV-1 antisense protein HBZ disrupts Fra-2/JunD AP-1 complexes while stabilizing Fra-2/p65, as shown by co-immunoprecipitation, BiFC, and PICO assays. This rewiring selectively enhances NF-kB-dependent transcription of IL-1b, which is elevated in ATL patient sera and cells independently of proviral load. Chromatin immunoprecipitation revealed Fra-2 recruitment to NF-kB response elements in the IL1b promoter, an effect amplified by HBZ. Pharmacological inhibition of IL-1 signaling with anakinra or anti-IL-1b antibodies restored doxorubicin sensitivity in primary ATL cells. Together, these findings establish the Fra-2-NF-kB-IL-1b axis as a driver of chemoresistance in tax-negative ATL and a therapeutically targetable vulnerability.

Glucocorticoids (GCs) are foundational to B-cell acute lymphoblastic leukemia (B-ALL) therapy, yet how glucocorticoid receptor (GR) activation interacts with lineage regulatory circuitry to shape therapeutic response remains incompletely understood. Using LEF1 to interrogate canonical Wnt regulatory circuitry, we show that GR activation reorganizes GR+LEF1 elements into recruitment, retention, and dissociation states. LEF1 dissociates from Wnt-responsive regulatory elements while being recruited to GRE-rich GR-associated elements that progressively acquire chromatin accessibility, H3K27ac, BRD4 and BRG1. RUNX1 and AP-1 show class-dependent redistribution across LEF1-defined states, extending organization beyond LEF1. GR+LEF1 reorganization is observed in patient-derived B-ALL. GR+LEF1 elements lose accessibility in GC-resistant B-ALL and during diagnosis-to-relapse evolution, with recruitment elements enriched for remodeling. Perturbation of resistance-associated GR+LEF1 elements at BIM and BMF alters GC-induced apoptotic signaling. Together, these findings identify Wnt/LEF1 circuitry as an interface through which therapeutic GR activation reorganizes the B-ALL regulatory landscape into states associated with glucocorticoid response and resistance.

CD8 T cells are key mediators of anti-tumor immunity, yet their differentiation states and clonal architecture within the acute myeloid leukemia (AML) bone marrow microenvironment remain incompletely defined. We performed high dimensional immune profiling of bone marrow samples from 46 newly diagnosed AML patients using mass cytometry to probe the microenvironment and T cell states. We used single-cell RNA and T cell receptor (TCR) sequencing to define CD8 T cell phenotypes, transcriptional states, and clonal architecture. AML-associated CD8 T cells were skewed toward terminally differentiated effector memory cells re-expressing CD45RA (TEMRAs), while canonically exhausted T cell populations were rare. Functional studies revealed that TEMRA CD8 T cells robustly produced IFN{gamma} and TNF upon in vitro stimulation. Clonal expansion was concentrated within the TEMRA compartment. Comparison of TCR sequences with known viral epitopes identified a small subset of expanded viral-specific clonotypes, while the majority of highly expanded clonotypes had unknown specificity and may include AML-specific T cells. Differential gene expression analysis revealed shared cytotoxic effector programs during clonal expansion but diverging activation signatures: viral-specific clones upregulated canonical T cell receptor signaling genes, whereas expanded clones of unknown specificity exhibited enrichment of natural killer (NK) receptor-associated genes. These genes comprised the leukemia-associated NK-immune (LaNKi) score which was elevated in an independent AML dataset compared to pan cancer tumor infiltrating lymphocytes. These findings define the CD8 T cell differentiation landscape and clonal architecture in AML marrow at diagnosis and suggest that T cell dysfunction in AML diverges from classical activation and exhaustion paradigms.

Abstract: Background. Class IA PI3K isoforms are candidate therapeutic targets in small-cell lung cancer (SCLC). The transcriptional consequences of isoform-directed inhibitors in SCLC cells have not been compared genome-wide. Methods. We re-analysed GEO series GSE40564: PIK3CA-altered NCI-H69 cells treated for 24 h with vehicle, PIK-75 (p110-directed) or TGX-221 (p110{beta}-directed), three arrays per group (Affymetrix HG-U133 Plus 2.0). Differential expression used limma, with re-processing from raw files and spike-in-anchored normalisation as sensitivity analyses. Gene sets were assessed by effect size, competitive and rotation tests, and size-matched random-set nulls. Isoform dependency was examined in DepMap CRISPR screens. A PIK-75 response score was tested in 81 primary SCLCs against random-signature nulls. Results. PIK-75 reduced SREBP-controlled sterol- and lipid-synthesis genes (SQLE, HMGCS1, HMGCR, LDLR, SCD; log2 fold-change -1.1 to -1.6). Cholesterol, mTORC1, hypoxia and glycolysis gene sets fell far more than size-matched random sets. E2F-target and homologous-repair genes fell more modestly, including BRCA1 (-0.91). The response was broad: 11,645 of 17,458 genes changed at FDR < 0.05, but only 316 decreased and 20 increased significantly beyond two-fold, an asymmetry that persisted under spike-in-anchored normalisation. TGX-221 changed 358 genes, none two-fold. Its set-level effects were four- to nine-fold smaller and depended on two of three replicates. PIK-75 did not induce canonical FOXO targets, and it inhibits kinases other than p110, so the response cannot be attributed to p110 alone. In DepMap, SCLC lines depended more on PIK3CA than on PIK3CB (median Chronos -0.38 vs -0.15), as did other lineages. In patients, the response score was not associated with survival or subtype beyond what random gene signatures achieve (empirical p = 0.14 and 0.11). Conclusion. PIK-75, but not TGX-221, suppresses an SREBP-centred anabolic transcriptional programme in NCI-H69 cells. Attributing this to p110 requires confirmation with selective inhibitors or genetic perturbation.

Cancer cell plasticity underlies tumor progression, metastasis and therapeutic resistance, yet how RNA-binding proteins regulate malignant state transitions remains poorly defined. Here, we identify the splicing regulator RBFOX2 as a suppressor of oncogenic cell plasticity in Group 3 medulloblastoma (MB). OTX2 antagonizes RBFOX2 by directing an opposing alternative splicing program that mirrors developmental origins and controls cytoskeletal dynamics and cell state transitions. Mechanistically, OTX2 alters the RBFOX2 RNA-binding landscape, limiting RBFOX2 engagement at cytoskeletal loci and suppressing exon inclusion. RBFOX2 loss rewires splicing and transcriptional outputs to promote highly plastic proliferative, mesenchymal-like and undifferentiated cellular states associated with enhanced oncogenic properties. Consistent with these findings, RBFOX2low states mark highly plastic cell populations in patient tumors and xenografts, positioning RBFOX2 as a determinant of malignant cell stability. Together, these findings establish RBFOX2 as a developmental gatekeeper that restrains malignant cell plasticity through coordinated control of cytoskeletal gene programs.

Despite intensive treatment, high-risk neuroblastoma (HRNB) remains a leading cause of cancer-related mortality in children. Current treatment paradigms include multimodal systemic treatments and multi-agent chemotherapy, which is limited by substantial acute and long-term toxicities. Platinum-based chemotherapy is a cornerstone of this treatment but is fraught with side effects and stands to benefit from dose reduction strategies. MicroRNA (miR)-based therapeutics represent an attractive strategy to simultaneously moderate multiple oncogenic pathways, providing a potential avenue to enhance the efficacy of current treatment regimens. However, the development of miR therapeutics has largely relied on chemically synthesized ones, which are limited by issues of inconsistency and poor in vivo stability. Biologically produced, tRNA/pre-miR containing bioengineered miRs (bioRNAs) address these limitations. We investigated the therapeutic potential of bioRNA encoding miR-124 and miR-34a across molecularly distinct HRNB models and evaluated their ability to enhance cisplatin efficacy. Both bioRNAs significantly suppressed neuroblastoma cell viability in vitro, with proteomic analyses demonstrating preferential induction of neuronal differentiation by miR-124 and apoptotic signaling by miR-34a. Combining bioRNA with cisplatin produced robust synergy across multiple HRNB lines, enhancing apoptosis while simultaneously promoting differentiation-associated phenotypes. In vivo, both bioRNAs suppressed tumor growth as monotherapies, while combination with low-dose cisplatin produced the strongest responses across multiple xenograft models with different HRNB subtypes. Notably, low-dose cisplatin combined with bioRNA therapy frequently achieved tumor control comparable to, or greater than, that observed with high-dose cisplatin monotherapy while maintaining favorable tolerability. These findings establish bioRNAs as potent cisplatin sensitizers and support bioRNA-based combination therapy as a strategy for improving HRNB treatment while reducing chemotherapy-associated toxicity in children.

Background: Relapse remains the principal cause of treatment failure in pediatric acute leukemia. Clinically validated minimal residual disease (MRD) assays - multiparameter flow cytometry, immunoglobulin/T-cell-receptor rearrangement sequencing, and targeted next-generation sequencing panels -- are highly sensitive but read out predefined features and do not reconstruct clonal architecture or link a cell's genotype to its functional state. We systematically reviewed what single-cell sequencing has revealed about clonal evolution, chemoresistance, the immune microenvironment, and post-therapeutic immune dynamics in this disease. Methods: This review followed PRISMA 2020. PubMed/MEDLINE, the Cochrane Library, and Google Scholar were searched to September 2026 for primary studies applying single-cell DNA, RNA, chromatin-accessibility, surface-protein, or immune-repertoire sequencing to pediatric acute leukemia samples or pediatric-derived models. Risk of bias in non-randomized studies was assessed with ROBINS-I. Because designs, platforms, and outcomes were heterogeneous, findings were synthesized narratively by biologic theme without meta-analysis, following the SWiM guideline. Results: Of 63 records identified, 10 studies were included (published 2016-2026; 6-159 patients or samples per study; up to ~700,000 cells profiled). Single-cell DNA sequencing traced minor NOTCH1-mutant diagnostic subclones into PTEN- or TP53-mutant relapse clones that bulk sequencing missed. Rare dormant, label-retaining cells and developmental-state-dependent drug sensitivity defined chemoresistant compartments. Remodeling of the bone marrow immune microenvironment identified patients with adverse outcome among those classified as MRD-low, and pre-infusion CAR T-cell type 2 functionality and post-transplant cytotoxic memory CD8+ T-cell subsets were associated with durable remission. Of the seven studies assessed with ROBINS-I, four were at moderate and three at serious overall risk of bias, driven chiefly by small, selected cohorts. Conclusions: Single-cell sequencing yields mechanistic insight that complements, rather than replaces, clinically validated MRD assays, and nominates candidate biomarkers for risk stratification, treatment selection, cell-therapy manufacturing, and post-transplant monitoring. The evidence remains preliminary; adequately powered, prospective, and harmonized studies are required before clinical adoption.

Oncofetal fibronectin (oFN) is a known biomarker of cancer progression and is involved in events such as epithelial mesenchymal transition and multidrug resistance. It is also understood that fibronectin (FN) and its splice variants are differentially arranged by cancer associated fibroblasts (CAFs) to support cancer cell proliferation and migration. Contrastingly, little is understood about the mechanobiology of oFN, a post-translationally modified FN isoform defined by O-glycosylation of a specific threonine residue. To investigate the architectural features of the oFN matrix, CAFs were simulated by culturing human mammary fibroblasts (HMFs) on stiff polyacrylamide gels (20 kPa) in media collected from HCC-1937 (primary site breast adenocarcinoma) and MDA-MB-231 (metastatic breast adenocarcinoma) cells. As a control, HMFs were also cultured on softer gels representing healthy adipose tissue (2 kPa) in media not exposed to cancer cells. After immunocytochemical analysis, tumor conditioned HMFs displayed an expected CAF-like phenotype that was most prominent with MDA-MB-231 conditioned media. Matrices produced by tumor-conditioned HMFs contained more oFN with structural features mostly following that of the overall dense, aligned FN matrix. Cancer cells reseeded on their corresponding decellularized tumor-associated matrices had greater F-actin/oFN colocalization than control matrix. The lack of distinct oFN topographical cues may indicate that oFN O-glycosylation is more directly involved in biochemical signaling than mechanosignaling through matrix architecture. Together, this study established a platform for investigating stromal oFN which revealed that tumor-conditioned media sourced from cancer cells with different metastatic potential influences HMF activation, leading to distinct total FN and thus oFN matrix microarchitecture features.

Ferroptosis has attracted significant attention for its potential to treat drug resistant tumors, along with its role in neurodegeneration and ischemia. Several ferroptosis targets were identified in the past decade, yet it is also highly affected by cellular metabolism and epithelial or mesenchymal phenotypes which limits the utility of these targets across diverse cell and tissue types. To address this, we utilized chemo-resistant cancer cell lines with different metastatic potential and tissue origins and discovered a common role of cytoplasmic ion changes during ferroptosis. We observed significant changes in intracellular potassium, sodium and chloride levels upon induction of ferroptosis. Therefore, we screened several ion channel inhibitors and activators (i.e. modulators) and identified Kv7.2 and CFTR modulators influence ferroptosis execution despite the fact that these cell lines do not express these proteins. We demonstrated that clinically approved modulators of CFTR and Kv7.2 can inhibit ferroptosis which indicates that these inhibitors could be repurposed as treatments in ferroptosis-associated diseases such as neurodegeneration and kidney diseases independent of ion channel expression. These modulators also influenced potassium and chloride levels in different contexts indicating off-target effects may also lead to changes in ion levels and may serve as a ferroptosis target. Further, we demonstrated that sustained imbalance of sodium, potassium and chloride ions with ferroptosis inducer salinomycin and digoxin, a Na+/K+ ATPase inhibitor, enhanced ferroptosis. The combination of salinomycin and digoxin successfully enhanced ferroptotic cell death across both cell lines with different metabolic signatures in vitro, offering a novel ferroptosis target. This combination significantly reduced tumor growth in vivo compared with the single agent alone, offering a new therapeutic modality against drug resistant tumors.

Mechanical stability critically influences bone fracture healing, yet how the early mechanical environment directs the transition from inflammation to regeneration remains unclear. Using a murine femoral osteotomy model, we compared rigid, semirigid, and dynamically adjusted semirigid-to-rigid fixation. Semirigid fixation delayed healing on day 21, whereas a strategy of early compliance followed by increased stiffness after 7 days restored bridging and improved bone regeneration beyond constant rigid fixation, pointing to a critical early mechanosensitive window after fracture. Single-cell RNA sequencing across the first week, comparing semirigid with rigid fixation, showed that fixation stiffness altered intercellular signaling within one day of injury. Signaling among myeloid populations was more broadly increased under semirigid fixation, with monocytes the single exception, and signaling associated with resolution of inflammation was reduced. From day 5, periosteal and skeletal progenitor populations increasingly directed cartilage-associated matrix and growth factor signaling toward macrophages and chondrocytes, accompanied by increased Sox9 regulon activity and increased COL10+ hypertrophic cartilage matrix by day 7. Reduced fixation stiffness therefore promotes a chondrogenic trajectory of repair, but increasing stiffness is required to redirect this response toward bone formation. Piezo1 was expressed across the responding populations and shifted between compartments as healing progressed. PIEZO1 activation with Yoda1 under rigid fixation enhanced bone formation but provided no additional benefit under semirigid or dynamically adjusted fixation, whereas inhibition of mechanosensitive signaling with GsMTx4 impaired repair across all conditions. Together, these findings establish the early mechanical environment as a determinant of fracture-healing trajectory, shaping the transition from inflammation to regeneration, and show that successful repair depends not on maximal stability but on when stiffness is applied. Increasing either early mechanical stimulation or cellular mechanosensitivity enhanced regeneration, supporting mechanosensitive signaling as a key component of the early healing response.

Minor introns are rare but evolutionarily conserved introns in the human genome. Defects in minor spliceosome components have been reported to cause several human diseases. Mutations in ZRSR2 are frequently observed in myelodysplastic syndrome (MDS) patients. However, the precise molecular mechanism by which these mutations cause a loss of ZRSR2 function in minor intron splicing remain elusive. In this study, we characterized the impact of MDS-causing missense mutations in ZRSR2. Most of the mutant ZRSR2 proteins we tested showed different subnuclear localization pattern from that of wild-type ZRSR2 protein. Co-immunoprecipitation (co-IP) analysis revealed that UHM missense mutations disrupted the interaction between ZRSR2 and SF3B complex. We also demonstrated that ZRSR2 preferentially immunoprecipitated minor spliceosome components over major spliceosome components and it directly interacts with SF3B1. Furthermore, co-IP analysis utilizing a variety of ZRSR2 mutants revealed that mutations in the UHM and Zn2 domains significantly attenuated the interaction with SF3B complex. Finally, UHM and Zn2 mutations markedly disrupted the supporting activity of ZRSR2 for minor intron splicing. Our results indicate that disruption of the physical interaction with SF3B complex is one of the hallmarks of MDS-causing mutations of ZRSR2, which results in aberrant splicing of minor introns.