Search bioRxiv⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.64898/2026.08.31.748234

Conditional Myeloid-Specific Inhibition of UBE2N Hinders YUMM1.7 Growth

Schiavone, K.·Pecoraro, A.·Khawar, A.·Zhang, K.·Starczynowski, D.·Zhang, J. Y.
View original source ↗Export metadata ↓

Abstract

The role of UBE2N in myeloid cell-mediated immune suppression in cancer remains undefined. Here, we examined the function of UBE2N in myeloid cell-mediated tumor progression using a temporally inducible myeloid-specific knockout model (LysMCreERUbe2nfl/fl). Temporally induced deletion of Ube2n in myeloid cells (Ube2nMyeKO) significantly hindered growth of YUMM1.7 melanoma. This was accompanied by reduced myeloid cell burden within the tumor microenvironment. We observed altered abundance of PD-1, PD-L1, and SPP1 in the Ube2nMyeKO tumor microenvironment at the tissue level. In vitro analysis showed that knock-in expression of a catalytically deficient UBE2NC87S mutant in bone marrow-derived macrophages (BMDMs) markedly decreased expression of Spp1. We observed decreased SPP1 secretion in Ube2nMyeKO BMDM-conditioned media (CM). Treatment with Ube2nMyeKO BMDM-CM decreased co-expression of PD-1, TIM-3, and LAG-3 on chronically stimulated T cells. Antibody-mediated neutralization of SPP1 in Ube2nWT BMDM-CM decreased PD-1 expression on CD8+ T cells. Together, these findings suggest a role for myeloid UBE2N in YUMM1.7 progression.

Explore related subjects

cancer biologyPreprint

Keep this discovery

BibTeXRIS

Schiavone, K., Pecoraro, A., Khawar, A., Zhang, K., Starczynowski, D., Zhang, J. Y.. 2026-09-01. Conditional Myeloid-Specific Inhibition of UBE2N Hinders YUMM1.7 Growth. https://doi.org/10.64898/2026.08.31.748234

Cite the original work for its findings. Save a collection to share your selection of sources.

Discover connections

Preprint resourcePreprint subjectcancer biology subject

Connections use source metadata and explicit phrase matches, not verified experimental comparisons.

KEEP EXPLORING

Related discoveries

bioRxiv2026

Spatial Mapping of the Lung Cancer Ecosystem Reveals Distinct Patterns of Intratumoral and Internodular Heterogeneity

The spatial organization of malignant and non-malignant cells within the tumor microenvironment (TME) critically influences tumor evolution and therapeutic response. However, the architecture of micro-niches remains incompletely understood. Leveraging Xenium-based spatial transcriptomics, we comprehensively mapped the spatial ecosystem of an orthotopic murine lung cancer model, identifying distinct spatial domains that form unique, organized cellular neighborhoods. These domains cluster into three major communities: (1) non-tumoral regions that recapitulate canonical normal lung structures; (2) a heterogeneous peri-tumoral region composed of spatial domains characterized by mesenchymal remodeling, active immune checkpoint signaling, and immunosuppressive myeloid populations; and (3) intra-tumoral regions that reveal marked tumor nodule heterogeneity, with unique tumor-specific domains exhibiting hallmark cancer pathways. Furthermore, our analytic approach was applicable to human lung cancer tissue. Notably, spatial domain analysis allowed us to resolve tumor nodules into multiple biologically distinct subtypes, defined by domain composition, hallmark cancer programs, and intercellular communication patterns within the TME.

cancer biology↗
bioRxiv2026

Highly plastic macrophage niches orchestrate acquired quiescence and reactivation in breast-cancer bone metastasis

Recurrence and metastasis remain major causes of cancer mortality, sustained by therapy-resistant micrometastatic cells. Bone is a frequent site of breast-cancer relapse, yet the cues that reawaken disseminated cells remain poorly defined. We identify a previously unrecognized, highly plastic CXCL16 macrophage population that integrates tumor-associated macrophage programs found in distant metastatic sites such as lung and brain with non-tumor disease-associated traits in bone marrow. These CXCL16 macrophages establish a transient niche that restrains disseminated cancer-cell proliferation. Single-cell transcriptomics delineate functional remodeling of myeloid niches within the bone metastatic microenvironment: a CXCL16 macrophage niche that transiently constrains metastatic growth, and G-CSF macrophage and neutrophil niches that reignite tumor outgrowth. In primary tumors, cancer-associated fibroblasts (CAFs) aberrantly secrete G-CSF in response to cancer-cell signals, expanding G-CSF-receptor-positive subset of cancer cells with high metastatic potential. In advanced human bone metastases, CXCL16 macrophages localize to CAF-rich stroma but are excluded from cancer-cell clusters, indicating immune evasion. Together, these findings uncover CAF-bone-marrow cross-talk as a therapeutic target linking stromal inflammation, immune remodeling, and metastatic progression.

cancer biology↗
bioRxiv2026

LINC00536 regulates transcriptional repressor TRPS1 in breast cancer

Metastatic breast cancer with complex molecular mechanisms of progression accounts for most cancer related deaths in women. To improve diagnosis and drug development, it is important to identify novel biomarkers and critical molecular pathways involved in tumor initiation and progression. Here, we profiled and analyzed the expression of long non-coding RNAs (lncRNAs) from three distinct stages of tumor initiation and progression (hyperplasia, adenoma, and carcinoma). We performed RNAseq on tumor and mammary epithelial cells derived from ROSAmT/mG tumor and non-tumor mice. We identified 1913 differentially expressed protein coding genes and 324 lncRNAs in breast cancer cells of all stages compared with normal mammary epithelial cells. Pearson correlation analysis correlated 93 differentially expressed lncRNAs with protein coding genes, providing a comprehensive lncRNA-protein coding genes co-expression network. Among them, we focused on Gm19303 which was paired with the differentially expressed protein coding gene, transcriptional repressor GATA binding 1 (Trps1), and identified its human counterpart as LINC00536. Both LINC00536 and TRPS1 are only overexpressed in breast cancer and correlate with poor prognosis of patient from the TCGA and GTEx databases. Single cell RNAseq data from the Atlas of Human breast cancers further confirmed that TRPS1 is upregulated in human breast cancer compared to normal human mammary tissue with highest expression in ER+ subgroup. In summary, our study explored the potential role of lncRNAs in breast cancer initiation and progression. *Implications statement: Our findings imply that human LINC00536/TRPS1 serves as a novel and early biomarker of cancer progression and a potential therapeutic target for breast cancer.

cancer biology↗