Spatially-Resolved Multiomic Atlas of Leiomyosarcoma Identifies Two Clinically Relevant Epigenetically-Driven Cell States
Denu, R. A.; Zheng, Z.; Jiang, Y.; Satpati, S.; Kochat, V.; Anand, K.; Truong, D. T.; Lynch, A. R.; Padron, W.; Ingram, D. R.; Wani, K. M.; Shamsutdinova, D.; Bhalla, A. D.; Landers, S. M.; Ratan, R.; Somaiah, N.; Roland, C. L.; Torres, K. E.; Van Loo, P.; Soliman, P. T.; Meyer, L. A.; Lazar, A. J.; Keung, E. Z.; Nassif Haddad, E. F.; Rai, K.
Show abstract
Leiomyosarcoma is a smooth muscle-derived malignancy marked by significant clinical heterogeneity. The extent and nature of cellular heterogeneity and molecular underpinnings remain poorly understood. To address this at transcriptomic and epigenomic levels, we performed single-nucleus multiome sequencing on untreated primary leiomyosarcoma tissues. Malignant cells segregated almost exclusively into two previously unrecognized and epigenetically distinct states: a dedifferentiated, mesenchymal-like subtype (MES) and a differentiated smooth muscle-enriched subtype (SMC). Chromatin accessibility profiling revealed strong enrichment of nuclear factor I (NFI) transcription factor motifs in MES cells, whereas AP-1 family motifs--most prominently FOSL2--were selectively accessible in SMC cells. Established leiomyosarcoma cell lines faithfully recapitulated these subtypes, and targeted depletion of NFI or AP-1 factors suppressed proliferation, invasion, and in vivo tumor growth, demonstrating functional dependency on these transcriptional programs. Spatial transcriptomics across 328 tissue cores from 128 leiomyosarcomas showed that immunosuppressive macrophages preferentially cluster around MES regions, revealing a subtype-specific tumor-immune niche. Clinically, MES-dominant tumors were associated with significantly worse patient outcomes. Through an epigenetic inhibitor screen, we identify and validate SMARCA4/2 inhibition as a promising therapeutic vulnerability for MES leiomyosarcomas. Together, this work defines two epigenetically driven, transcription factor-regulated, and clinically relevant states of leiomyosarcoma, revealing mechanistic underpinnings of tumor heterogeneity and uncovering actionable therapeutic strategies. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=93 HEIGHT=200 SRC="FIGDIR/small/726988v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@132928eorg.highwire.dtl.DTLVardef@133e3b7org.highwire.dtl.DTLVardef@1ab4398org.highwire.dtl.DTLVardef@e2de25_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Single-cell multi-omic analysis of the vestibular schwannoma ecosystem uncovers a nerve injury-like state 96%
- EZH2 mutations in follicular lymphoma distort H3K27me3 profiles and alter transcriptional responses to PRC2 inhibition 96%
- Glioma-neuronal circuit remodeling induces regional immunosuppression 96%
Similar papers in this journal
- Single cell view of tumor microenvironment gradients in pleural mesothelioma 96%
- Multimodal Spatial Profiling Reveals Immune Suppression and Microenvironment Remodeling in Fallopian Tube Precursors to High-Grade Serous Ovarian Carcinoma 95%
- Spatially Resolved Tumor Ecosystems and Cell States in Gastric Adenocarcinoma Progression and Evolution 95%
Similar papers in this journal
Similar papers in this journal
- Dynamic plasticity within the EMT spectrum, rather than static mesenchymal traits, drives tumor heterogeneity and metastatic progression of breast cancers 96%
- Autocrine TGFβ2 enforces a transcriptionally hybrid cell state in Ewing sarcoma 95%
- An in vivo screen identifies NAT10 as a master regulator of brain metastasis 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.