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PAX3-FOXO1 Drives Targetable Cell State-Dependent Metabolic Vulnerabilities in Rhabdomyosarcoma.

UNLABELLED: PAX3-FOXO1, an oncogenic transcription factor, drives a particularly aggressive subtype of rhabdomyosarcoma (RMS) by enforcing gene expression programs that support malignant cell states. In this study, we show that PAX3-FOXO1+ RMS cells exhibit altered pyrimidine metabolism and increased dependence on enzymes involved in de novo pyrimidine synthesis, including dihydrofolate reductase (DHFR). Consequently, PAX3-FOXO1+ cells display increased sensitivity to inhibition of DHFR by the chemotherapeutic drug methotrexate, and this dependence is rescued by provision of pyrimidine nucleotides. Methotrexate treatment mimics the metabolic and transcriptional impact of PAX3-FOXO1 silencing, reducing expression of genes related to PAX3-FOXO1-driven malignant cell states. Accordingly, methotrexate treatment slows the growth of multiple PAX3-FOXO1+ tumor xenograft models but not their fusion-negative counterparts. Taken together, these data demonstrate that PAX3-FOXO1 induces cell states characterized by altered pyrimidine dependence and nominates methotrexate as an addition to the current therapeutic arsenal for treatment of these malignant pediatric tumors. SIGNIFICANCE: PAX3-FOXO1+ rhabdomyosarcoma cells and tumors exhibit increased sensitivity to DHFR inhibition via methotrexate, identifying a potential therapeutic vulnerability that can be exploited to treat this aggressive pediatric sarcoma.

Humans

Functional Motif Discovery in FOXO1 Through CRISPR/Cas9 Exon Tiling Scan.

The study of FOXO1, a pivotal transcription factor, has garnered significant attention due to its critical role in diverse cellular processes, including lineage differentiation, apoptosis, cell cycle regulation, and metabolism. To comprehensively understand the functional intricacies of FOXO1, an innovative approach is essential. This chapter highlights employing CRISPR exon scanning as a strategic tool to dissect the functional domains of FOXO1 and unravel its diverse regulatory functions. CRISPR exon scan allows for the identification of functionally important domains based on the levels of sgRNA depletion or enrichment within the FOXO1 gene, providing a unique opportunity to investigate the domain function under relevant biological contexts. This approach enables the systematic exploration of FOXO1's structural domains, shedding light on how distinct regions contribute to its overall function. The comprehensive exon scan analysis using CRISPR technology allows gaining a nuanced understanding of FOXO1's functional diversity and regulatory mechanisms.

Forkhead Box Protein O1

FANCM is required for the PAX3::FOXO1-driven oncogenic program in rhabdomyosarcoma.

Many cancers are driven by mutationally altered transcription factors (TFs) that rewire cells to an oncogenic state. Cells must activate specific mechanisms to tolerate the burden of oncogenic TF activity. To define such mechanisms, we focused on a canonical oncogenic fusion protein-driven cancer, alveolar rhabdomyosarcoma (ARMS), where the PAX3::FOXO1 fusion protein hyperactivates and mislocalizes PAX3 and FOXO1 TF functions. Employing sequential functional genomic CRISPR-Cas9 screens, we identified FANCM, a DNA translocase in the Fanconi anemia pathway, as a selective dependency in PAX3::FOXO1+ ARMS. FANCM loss reduces fusion protein levels, induces myogenic differentiation, and disrupts the PAX3::FOXO1 transcriptional program, thereby halting oncogenic proliferation. Mechanistically, FANCM depletion exacerbates replication stress (RS) and DNA damage signaling, with chromatin-associated RS enriched at PAX3::FOXO1 target gene loci, resulting in selective downregulation of the oncogenic program. CRISPR exon-tiling screens prioritized FANCM's helicase and DNA-binding domains as essential for this dependency, linking FANCM-mediated replication fork binding to sustained oncogenesis.

ARMS

Measuring FOXO Activity by Using qPCR-Based Expression Analysis of FOXO Target Genes.

FOXO transcription factors belong to the forkhead protein family and are distinguished by their unique forkhead (FKH) DNA-binding domain. In the realm of mammals, four FOXO paralogs are recognized: FOXO1, FOXO3, FOXO4, and FOXO6. These paralogs are evolutionary counterparts of the daf-16 gene discovered in the nematode C. elegans. A key feature shared by these paralogs is a consensus binding site known as the DAF-16 family protein-binding site (DBE: 5'-TTGTTTAC-3'). The functional outcome of FOXO transcription factors primarily hinges on their affinity for these specific binding sites within the promoters of their target genes. Nevertheless, it is worth noting that many of these target genes exhibit tissue-specific expression patterns. Consequently, there is not a single FOXO target gene whose expression can reliably serve as a universal indicator of FOXO activity across all cell types and tissues or in response to all stimuli. In light of these considerations, we present a collection of target genes that, when collectively assessed, can accurately gauge FOXO activation. In this chapter, we outline a specific protocol for utilizing quantitative reverse transcription polymerase chain reaction (qRT-PCR) to measure the expression levels of these genes.

Forkhead Transcription Factors

Metadomain and metaloop genome interactions in mammalian T cells.

Recent studies have advanced understanding of chromosomal organization and its role in gene regulation, yet most analyses focus on short-range interactions (<2 Mb), limiting insight into broader architecture. The relationships between topologically associating domains (TADs), sub-TAD loops, cross-TAD interactions, and chromosomal compartmentalization remain poorly understood. Here, using high-resolution Hi-C analysis, we identify extensive multi-megabase and interchromosomal interactions (metaloops) in T lymphocytes that organize into meta-TAD associations (metadomains). These metaloops connect distal promoters and regulatory elements of genes functionally important in T cells, including Ctla4, Ikzf2, Il2ra, Ets1, and Foxo1. Reanalysis of mouse and human datasets confirms their reproducibility and dependence on superenhancers. Genome-wide clustering reveals three distinct interchromosomal hubs, including a superenhancer-enriched hub linked to T cell-specific gene activation. Integrative analysis of regulatory genomics data identifies factors associated with short- versus long-range interactions. This study introduces a broadly applicable computational framework and reveals features of T cell genome organization.

Animals

Region-Resolved Integrative Multi-Omic Characterization Reveals Diverse Tumor and Microenvironment Features of Pituitary Neuroendocrine Tumors.

Pituitary neuroendocrine tumors are frequently invasive, with cavernous sinus invasion leading to poor treatment outcomes and high recurrence. Regional differences within these tumors remain poorly understood, hindering targeted therapy development. Here, we present the first integrative multi-omics analysis combining proteomics, metabolomics and single-cell transcriptomics to characterize tumors from the cavernous sinus and saddle regions. Our results reveal profound regional and cellular heterogeneity: cavernous sinus tumors exhibit significantly enhanced cell proliferation, driven by cancer-associated fibroblasts through the IGF1-IGF1R-MAPK1 axis. Cancer-associated fibroblasts in the cavernous sinus secrete IGF1 under regulation of the transcription factor FOXO1, which binds to receptors on tumor cells to activate proliferation. Metabolomic profiling identifies proline as a key enriched metabolite that stimulates cancer-associated fibroblasts to produce collagen fibers, reinforcing a pro-tumorigenic microenvironment. Single-cell transcriptomics further delineates a distinct subpopulation of receptor-positive malignant cells and a high abundance of cancer-associated fibroblasts in the cavernous sinus. These findings establish core mechanisms underlying the aggressive behavior of cavernous sinus-invading tumors, providing novel actionable targets for precision therapeutic strategies tailored to distinct tumor regions.

Humans

Integrated Clinicopathologic and Multiomic Profiling Reveals MEIS1-Rearranged Sarcoma as a Distinct Entity With 2 Prognostic Subgroups.

Sarcomas with MEIS1 fusions represent a rare, recently recognized group of mesenchymal neoplasms with a predilection for genitourinary and gynecologic sites. A subset exhibits skeletal muscle differentiation resembling spindle cell rhabdomyosarcoma. Existing literature is limited to case reports and small series, with scant comprehensive clinicopathologic, molecular, and outcome data. In this study, we analyzed a multi-institutional cohort of 20 MEIS1-rearranged sarcomas using integrated clinicopathologic review, genomic profiling, and DNA methylation analysis. The tumors occurred in 17 females and 3 males (median age, 41 years; range, 6-58 years), arising mainly in the uterus/vagina (n = 12), vulva/perineum (n = 4), bone (n = 2), and kidney (n = 2), with a median size of 9 cm (range, 2.5-20 cm). Histology showed mostly bland spindle cells in fascicles/storiform patterns, alternating cellularity, fibromyxoid stroma, prominent vascularity, and adipose metaplasia (45%). A subset of cases featured high-grade morphology with epithelioid cells and increased mitotic activity. Skeletal muscle markers were variably positive in 9 cases. Fusions involved MEIS1 with NCOA2 (16/20), NCOA1 (3/20), or FOXO1 (1/20). Recurrent additional genomic alterations included CTNNB1 mutations (31.6%) and MDM2 amplification (15%). DNA methylation profiling showed that MEIS1-rearranged sarcomas formed a unifying cluster comprising 2 subgroups, regardless of rhabdomyosarcomatous phenotype, clearly separated from other mesenchymal neoplasms, including various rhabdomyosarcoma subtypes and uterine sarcomas. The 2 DNA methylation (Meth) subgroups correlated with differences in genome-wide copy number variation (CNV) status (Meth-CNV high vs Meth-CNV low), with Meth-CNV high tumors characterized by high mitotic rate, frequent tumor necrosis, recurrent co-occurring CTNNB1 and MDM2 alterations, and recurrent chromosomal arm-level changes. Most importantly, this subgroup exhibited significantly worse overall survival (P = .027) and disease-free survival (median, 5 vs 99 months; P = .017). This study establishes MEIS1-rearranged sarcoma as a distinct entity with generally indolent but potentially aggressive behavior. The 2 methylation/CNV subgroups provide potential utility for prognostic stratification and highlight actionable molecular targets in high-risk cases.

Humans

Deciphering estrogen receptor alpha-driven transcription in human endometrial stromal cells via transcriptome, cistrome, and integration with chromatin landscape.

OBJECTIVE: To investigate estrogen receptor gene 1 (ESR1) and estrogen-driven transcription in human endometrial stromal cells. DESIGN: RNA sequencing (RNA-seq) and Cleavage Under Targets and Release Using Nuclease (Cut&Run) were performed on telomerase-immortalized human endometrial stromal cells with Clustered Regularly Interspaced Short Palindromic Repeats-mediated ESR1 activation. Hi-C-based chromatin architecture analysis (H3K27ac HiChIP) was conducted in primary endometrial stromal cells. SUBJECTS: Biopsies from two healthy, reproductive-aged volunteers with regular menstrual cycles and no history of gynecological malignancies. EXPOSURE: The ESR1-activated and control endometrial stromal cells were treated with estradiol (E2) or vehicle. Primary endometrial stromal cells were treated with vehicle or a decidualization cocktail. MAIN OUTCOME MEASURES: Differential gene expression analysis (RNA-seq) identified ligand-independent and -dependent ESR1 activity. Cut&Run profiled ESR1 genomic binding in ESR1-activated cells. H3K27ac HiChIP mapped hormone-induced changes in chromatin looping in primary cells. RESULTS: Among seven tested guide RNAs (gRNA), the ESR1-3 gRNA induced robust ESR1 activation and restored E2 responsiveness. Bulk RNA-seq revealed both ligand-dependent and -independent ESR1 transcriptional programs regulating inflammation, proliferation, and cancer-related pathways. Notably, 72% of differentially expressed genes overlapped with genes active in human endometrial tissue during the proliferative estrogen-dominant phase, supporting their physiological relevance. The Cut&Run-seq identified genome-wide ESR1 binding sites, with most binding sites located at distal regulatory elements. Integration of Cut&Run data with H3K27ac HiChIP chromatin loops linked distal ESR1 binding sites to gene promoters, including genes involved in decidualization (e.g., FOXO1) and endometrial cancer (e.g., ERRFI1, NRIP1, and EPAS1). Functional assays showed that ESR1 promotes cell viability and, in the presence of E2, enhances migration. CONCLUSION: The CRISPR-mediated ESR1 activation restores estrogen responsiveness in endometrial stromal cells. Combined transcriptomic, cistromic, and chromatin architecture analyses reveal ESR1's role in regulating decidualization and inflammation-related gene networks, with relevance to endometrial pathologies including endometrial cancer. This model serves as a powerful tool to study estrogen signaling in endometrial stromal cell biology and related pathologies.

Humans

Progesterone receptor isoform modulation via enhancer activation regulates progesterone signaling in endometrial stromal cells.

OBJECTIVE: To investigate enhancer-mediated regulation of progesterone receptor (PGR) isoforms, PGR-A and PGR-B, in human endometrial stromal cells, and to determine how isoform modulation shapes the progesterone-responsive transcriptome and cistrome relevant to endometrial function. DESIGN: A clustered regularly interspaced short palindromic repeats-based functional genomic screen was used to identify distal enhancers in telomerase-immortalized human endometrial stromal cells. Subsequent clustered regularly interspaced short palindromic repeats targeting of identified enhancers and the PGR promoter was used to modulate PGR isoform balance and assess functional consequences. SUBJECTS: None. EXPOSURE: Engineered endometrial stromal cells were treated with medroxyprogesterone acetate or vehicle. MAIN OUTCOME MEASURES: PGR isoform expression was assessed by western blot, the progesterone-responsive transcriptome was characterized by bulk ribonucleic acid sequencing, and the PGR cistrome was characterized by Cut&Run. RESULTS: Two distal PGR enhancers were identified in endometrial stromal cells located approximately 60 and 220 kb upstream of the PGR transcription start site. Clustered regularly interspaced short palindromic repeats-based activation of these enhancers upregulated both PGR-A and PGR-B, whereas promoter activation primarily upregulated PGR-B. Bulk ribonucleic acid sequencing revealed that shifting the PGR isoform balance altered the progesterone-regulated transcriptome: PGR-A/B-equivalent cells exhibited proinflammatory gene signatures, whereas PGR-B-dominant cells demonstrated suppression of inflammatory signaling and altered cell cycle programs. The PGR Cut&Run profiling revealed distinct genomic binding patterns associated with each isoform profile. Integration of the PGR cistrome with chromatin interaction maps suggested that these isoforms directly regulate distinct gene subsets involved in inflammation and fibrosis. Mechanistically, estrogen receptor alpha (ESR1) indirectly activated PGR-A expression, potentially through recruitment of Forkhead box protein O1 (FOXO1) at the distal enhancer, suggesting a noncanonical, enhancer-mediated mechanism of PGR regulation. CONCLUSIONS: Distal enhancers regulate the PGR isoform balance and shape the progesterone-responsive transcriptome in human endometrial stromal cells. This enhancer-mediated mechanism expands current models of PGR regulation beyond promoter-level control and may offer potential therapeutic targets to restore normal progesterone responsiveness in conditions marked by PGR isoform imbalance.

Humans

Comprehensive Multiplatform Tyrosine Kinase Profiling Reveals Novel Actionable FGFR Aberrations across Sarcomas Affecting the Young.

Limited targeted agents are approved for pediatric sarcomas. Tyrosine kinase (TK) inhibitors (TKi) have shown clinical efficacy in some, but not all, young patients with sarcoma. A major obstacle preventing further advances and clinical implementation is the lack of predictive response biomarkers to guide TK-targeted treatments. TK-activating fusions or mutations are rare in these patients. RNA overexpression of TKs is a frequent feature. The unresolved question is when upregulated TK expression is associated with kinase activation and signaling dependence. We explored the TK molecular landscape of 107 patients with sarcoma from the ZERO Childhood Cancer Precision Medicine Program (ZERO) using whole-genome and -transcriptome sequencing. Phosphoproteomic analyses of tyrosine phosphorylation (pY) and functional in vitro and in vivo assays were performed in cell lines and patient-derived xenografts (PDX). Our analysis shows that although novel genomic driver lesions are rare, when present they are therapeutically actionable as exemplified by a novel LSM1-FGFR1 fusion identified in a patient with osteosarcoma. We further show that in certain contexts, TK RNA expression can indicate TK pathway activity and predict TKi sensitivity. We highlight the utility of FGFR inhibitors in PAX3-FOXO1 fusion-positive rhabdomyosarcomas (FP-RMS) characterized by high FGFR4 and FGF8 RNA expression levels and FGFR4 activation (FGFR4_pY). We demonstrate marked tumor growth inhibition in all FP-RMS PDXs treated with single-agent FGF401 (FGFR4-specific inhibitor) and single-agent lenvatinib (multikinase FGFR inhibitor) and report a clinical response to lenvatinib in a patient with relapsed metastatic FP-RMS. Altogether, we identified new patients with sarcoma who may benefit from FGFR inhibitors, most notably FP-RMS via FGFR4/FGF8 coexpression.

Journal Article