ReviewActa biomaterialia2019
Tissue-engineered 3D models for elucidating primary and metastatic bone cancer progression.
Review in Acta biomaterialia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed, 46 citations in OpenAlex.
- Review
- Advancement in Scaffold-Based 3D Cell Culture Models for Osteosarcoma Drug Screening.ACS biomaterials science & engineering · 2025Review
- Organotropic metastasis in colorectal cancer: integrating molecular pathways with therapeutic opportunities.Frontiers in immunology · 2025Review
- Nanoparticles and bone microenvironment: a comprehensive review for malignant bone tumor diagnosis and treatment.Molecular cancer · 2024Review
- Apoptotic signaling pathways in bone metastatic lung cancer: a comprehensive analysis.Discover oncology · 2024Review
- Regeneration of Osteochondral Lesion of the Talus with Retrograde Drilling Technique: An In Vitro Pilot Study.Journal of clinical medicine · 2024Article
- Perspective of 3D culture in medicine: transforming disease research and therapeutic applications.Frontiers in bioengineering and biotechnology · 2024Review
- Prostate cancer and bone: clinical presentation and molecular mechanisms.Endocrine-related cancer · 2023Review
- 3D geometry orchestrates the transcriptional landscape of metastatic neuroblastoma cells in a multicellularMaterials today. Bio · 2023Article
- A Novel Three-Dimensional Follicle Culture System Decreases Oxidative Stress and Promotes the Prolonged Culture of Human Granulosa Cells.ACS applied materials & interfaces · 2023Article
- GelMA, Click-Chemistry Gelatin and Bioprinted Polyethylene Glycol-Based Hydrogels as 3D Ex Vivo Drug Testing Platforms for Patient-Derived Breast Cancer Organoids.Pharmaceutics · 2023Article
- Review
- A 3D-printed scaffold-based osteosarcoma model allows to investigate tumor phenotypes and pathogenesis in an in vitro bone-mimicking niche.Materials today. Bio · 2022Article
- Identification and validation of a cigarette smoke-related five-gene signature as a prognostic biomarker in kidney renal clear cell carcinoma.Scientific reports · 2022Article
- Osteosarcoma tumor microenvironment: the key for the successful development of biologically relevant 3D in vitro models.In vitro models · 2022Review
- Advancing Treatment of Bone Metastases through Novel Translational Approaches Targeting the Bone Microenvironment.Cancers · 2022Review
- Mechanical Studies of the Third Dimension in Cancer: From 2D to 3D Model.International journal of molecular sciences · 2021Review
- 3D Printing and Bioprinting to Model Bone Cancer: The Role of Materials and Nanoscale Cues in Directing Cell Behavior.Cancers · 2021Review
- Breast cancer-secreted factors perturb murine bone growth in regions prone to metastasis.Science advances · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Malignant bone tumors are aggressive neoplasms which arise from bone tissue or as a result of metastasis. The most prevalent types of cancer, such as breast, prostate, and lung cancer, all preferentially metastasize to bone, yet the role of the bone niche in promoting cancer progression remains poorly understood. Tissue engineering has the potential to bridge this knowledge gap by providing 3D in vitro systems that can be specifically designed to mimic key properties of the bone niche in a more physiologically relevant context than standard 2D culture. Elucidating the crucial components of the bone niche that recruit metastatic cells, support tumor growth, and promote cancer-induced destruction of bone tissue would support efforts for preventing and treating these devastating malignancies. In this review, we summarize recent efforts focused on developing in vitro 3D models of primary bone cancer and bone metastasis using tissue engineering approaches. Such 3D in vitro models can enable the identification of effective therapeutic targets and facilitate high-throughput drug screening to effectively treat bone cancers. STATEMENT OF SIGNIFICANCE: Biomaterials-based 3D culture have been traditionally used for tissue regeneration. Recent research harnessed biomaterials to create 3D in vitro cancer models, with demonstrated advantages over conventional 2D culture in recapitulating tumor progression and drug response in vivo. However, previous work has been largely limited to modeling soft tissue cancer, such as breast cancer and brain cancer. Unlike soft tissues, bone is characterized with high stiffness and mineral content. Primary bone cancer affects mostly children with poor treatment outcomes, and bone is the most common site of cancer metastasis. Here we summarize emerging efforts on engineering 3D bone cancer models using tissue engineering approaches, and future directions needed to further advance this relatively new research area.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.