Evidence map›Paper›PMID 40813975›Full record

ReviewCellular & molecular biology letters2025

Modeling the effects of radiation on the bone tumor microenvironment: opportunities for exploring combination therapies in microphysiologic systems.

Kailey N Jackett, Devin L DaPonte, Pranav Soman, Jason A Horton

Abstract readReview
In one paragraph

Review in Cellular & molecular biology letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

4 authors.

Kailey N JackettNorton College of Medicine and College of Graduate Studies, SUNY Upstate Medical University, Syracuse, NY, USA.
Devin L DaPonteDepartment of Cancer Biology, University of Central Florida, Orlando, FL, USA.
Pranav SomanDepartment of Chemical and Biomedical Engineering, L.C. Smith College of Engineering Syracuse University, Syracuse, NY, USA.
Jason A HortonDepartments of Neuroscience & Physiology, Cell & Developmental Biology and Radiation Oncology, SUNY Upstate Medical University, 4706 Institute for Human Performance, Syracuse, NY, 13210, USA. hortonj@upstate.edu.

Funding

Role of Ca2+ Signaling by 3D Osteocyte Networks in Mechanoadaptive Response of the Bone Multicellular UnitR01AR083466 · NIAMS · SYRACUSE UNIVERSITY · PI Pranav Soman · 2024 to 2026
$943k
NIAMS NIH HHS R01 AR083466U.S. National Institutes for Health, National Institute of Arthritis and Musculoskeletal and Skin Diseases R00AR066737U.S. National Institutes of Health, National Institute of Arthritis and Musculoskeletal and Skin Diseases 1R01AR083466
6 · The paper itself

Abstract

Primary bone tumors and bone metastases represent significant challenges in oncology. Radiotherapy is an important adjuvant treatment for several primary bone and musculoskeletal tumors, as well as for palliative care for metastatic bone lesions. While effective in these applications, patients receiving skeletal radiation face a lifelong risk of fragility fracture at the irradiated sites, among other complications. Damage to bone could be reduced by development of tumor-selective radiosensitizers that would enhance the efficacy of radiotherapy, resulting in reducing the radiation dose delivered to the normal tissues. The creation of bone-selective radioprotection and radio-mitigant strategies that could respectively reduce the magnitude of off-target damage and stimulate functional recovery of the healthy bone microenvironment are warranted. Key barriers to progress in this field include the paucity and inconsistency of data on the skeletal effects of radiotherapy, low throughput and high cost of animal models, reproducibility challenges with in vitro experiments, and poor translational relevance of these models, which may not accurately replicate the human bone-tumor microenvironment. Microphysiological systems (MPS) will accelerate progress in this field by enabling rapid and cost-effective investigation while recapitulating the complexity of the bone-tumor microenvironment to more accurately model the collective response to therapy. Here, we summarize the current knowledge on the transient and long-lasting impacts of radiotherapy and explore opportunities for MPS to streamline and expand our knowledge base. We critically evaluate contemporary model systems, including MPS, and offer suggestions for how these systems can be used to efficiently model the intersection of skeletal radiobiology and bone cancer, and accelerate development of combination therapies.

Indexed as

Bone NeoplasmsModels, BiologicalTumor MicroenvironmentAnimalsBone and BonesCombined Modality TherapyHumansBone-tumor microenvironmentCombination therapyMicrophysiological systemsRadiation

Identifiers

PMID40813975
PMCPMC12351843

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.