Evidence map›Paper›PMID 42244620›Full record

ArticlebioRxiv : the preprint server for biology2026

Spatially-Resolved Multiomic Atlas of Leiomyosarcoma Identifies Two Clinically Relevant Epigenetically-Driven Cell States.

Ryan A Denu, Zhao Zheng, Yingda Jiang, Suresh Satpati, Veena Kochat, Kumaren Anand, Danh D Truong, Andrew R Lynch, William Padron, Davis R Ingram and 15 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Ryan A DenuDepartment of Sarcoma Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-9698-9201
Zhao ZhengDepartment of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Yingda JiangDepartment of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Suresh SatpatiDepartment of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Veena KochatDepartment of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Kumaren AnandRice University, Houston, TX.
Danh D TruongDepartment of Sarcoma Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0003-3200-1297
Andrew R LynchDepartment of Genetics, Division of Discovery Science, The University of Texas MD Anderson Cancer Center, Houston, TX.
William PadronDepartment of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Davis R IngramDepartment of Pathology, Division of Pathology & Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Khalida M WaniDepartment of Pathology, Division of Pathology & Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Diana ShamsutdinovaDepartment of Pathology, Division of Pathology & Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Angela D BhallaDepartment of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.
Sharon M LandersDepartment of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.
Ravin RatanDepartment of Sarcoma Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Neeta SomaiahDepartment of Sarcoma Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Christina L RolandDepartment of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.
Keila E TorresDepartment of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.
Peter Van LooDepartment of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.ORCID 0000-0003-0292-1949
Pamela T SolimanDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Larissa A MeyerDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Alexander J LazarDepartment of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Emily Z KeungDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Elise F Nassif HaddadDepartment of Sarcoma Medical Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Kunal RaiDepartment of Genomic Medicine, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.

Funding

PROJECT 3: Applying Liquid Biopsy Technologies to Detect Clinical Response and Mechanisms of Resistance in the Treatment of LMSP50CA272170 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Elizabeth Demicco · 2022 to 2026
$13.3M
NCI NIH HHS P50 CA272170
6 · The paper itself

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

Indexed as

cell statesepigeneticsepigenomicsleiomyosarcomamultiomeNFIplasticitysarcomatranscription factorstranscriptomics

Identifiers

PMID42244620
PMCPMC13232322

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.