Evidence map›Paper›PMID 41037662›Full record

ArticleCancer discovery2026

Epigenetic and Transcriptional Programs Define Osteosarcoma Subtypes and Establish Targetable Vulnerabilities.

Eunice López-Fuentes, Andrew S Clugston, Alex G Lee, Leanne C Sayles, Natalie Sorensen, Maria V Pons Ventura, Stanley G Leung, Truc Dinh, Marcus R Breese, E Alejandro Sweet-Cordero

Abstract read
In one paragraph

Article in Cancer discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Integrated Multiomic Profiling Enhances Risk Stratification and Prognostication in Canine Osteosarcoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Lamins' role in osteosarcoma.Frontiers in cell and developmental biology · 2026
    Review
  9. Review
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

10 authors.

Eunice López-FuentesDivision of Pediatric Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California.ORCID 0000-0001-6794-5883
Andrew S ClugstonDivision of Pediatric Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California.ORCID 0000-0002-8521-9452
Alex G LeeDivision of Pediatric Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California.ORCID 0000-0003-0107-5920
Leanne C SaylesDivision of Pediatric Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California.ORCID 0000-0003-3963-6412
Natalie SorensenDivision of Pediatric Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California.ORCID 0009-0008-4349-596X
Maria V Pons VenturaDivision of Pediatric Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California.ORCID 0009-0003-9516-2052
Stanley G LeungDivision of Pediatric Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California.ORCID 0000-0001-9470-8760
Truc DinhDivision of Pediatric Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California.ORCID 0000-0002-8985-0225
Marcus R BreeseDivision of Pediatric Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California.ORCID 0000-0002-6870-0228
E Alejandro Sweet-CorderoDivision of Pediatric Oncology, Department of Pediatrics, University of California San Francisco, San Francisco, California.ORCID 0000-0002-9787-9351

Funding

Development of Advanced Preclinical Models for Pediatric Solid TumorsR01CA243555 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SWEET-CORDERO, ERIC ALEJANDRO, VASKE, OLENA MOROZOVA · 2020 to 2024
$3.0M
Epigenetic analysis of osteosarcoma to define subclasses relevant to chemoresistance and metastasisR01CA292790 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Eric Alejandro Sweet-Cordero · 2025 to 2026
$1.1M
Utilizing Multi-omics to Facilitate Cancer Biology ResearchR50CA274213 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alex Lee · 2023 to 2026
$935k
Illumina NovaSeq 6000 Sequencing SystemS10OD028511 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHOW, ERIC D · 2020 to 2020
$583k
Alex's Lemonade Stand Foundation for Childhood Cancer (ALSF) 21-23176Hyundai Hope On Wheels (Hope On Wheels)Make it better (MIB) FoundationNational Cancer Institute (NCI) 1R01CA243555NCI NIH HHS R01 CA243555NCI NIH HHS R01 CA292790NCI NIH HHS R50 CA274213NIH HHS S10 OD028511Pablove Foundation (The Pablove Foundation)UC-MEXUS
6 · The paper itself

Abstract

Osteosarcoma is a genomically complex tumor characterized by widespread structural rearrangements. This complexity has limited the development of therapeutic strategies informed by molecular mechanisms of oncogenesis. We hypothesized that epigenetic mechanisms could drive distinct subtypes of osteosarcoma. Through analysis of chromatin accessibility, we identified an "early osteoblast-derived" cell state, characterized by upregulation of transcription factors associated with early bone development, and a "late osteoblast-derived" state, characterized by upregulation of genes involved in late bone development. We then defined core regulatory circuitries governing the underlying gene expression programs in these two cell states. Multiomic single-cell analysis indicates that these cell states coexist in a single tumor. Finally, using a panel of patient-derived xenograft models, we identified differential drug responses dependent on these cellular states. These findings create opportunities for developing new combination therapy strategies for osteosarcoma treatment and underscore the value of defining epigenetic subtypes in highly genomically complex cancers. SIGNIFICANCE: This study identifies two distinct cellular states in osteosarcoma, driven by specific transcription factor circuitries linked to normal bone development. These epigenetically defined states demonstrate differential drug responses, are identifiable in patient samples, and are correlated with survival.

Indexed as

Bone NeoplasmsEpigenesis, GeneticOsteosarcomaAnimalsCell Line, TumorGene Expression Regulation, NeoplasticHumansMiceXenograft Model Antitumor Assays

Identifiers

PMID41037662
PMCPMC12877751

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.