ArticleCancer gene therapy2025
Unveiling the role of the extracellular matrix in the osteosarcoma tumor microenvironment through integrated transcriptomics and experimental validation.
Article in Cancer gene therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- IGFBP in tumor immunity: a novel target for cancer immunotherapy.Journal of translational medicine · 2026Review
- New biological insights into osteosarcoma-lessons from single cell sequencing studies.Cancer metastasis reviews · 2026Review
- Multi-Modal Analysis of Programmed Cell Death Identifies Biomarkers and Informs Prognosis in Osteosarcoma.International journal of molecular sciences · 2026Article
- Combined treatment using repurposed synthetic peptide desmopressin and bevacizumab as a potential antiangiogenic strategy in osteosarcoma.Frontiers in medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Osteosarcoma (OS), the most common malignant bone tumor, is characterized by heterogeneous tumor cells and abundant microenvironmental components. The extracellular matrix (ECM)-a complex and dynamic network surrounding tumor cells-plays a pivotal role in OS malignancy (e.g., cell proliferation, metastasis), making insights into ECM involvement critical for advancing OS prognosis. This study conducted bioinformatic analyses on bulk RNA-sequencing and single-cell RNA sequencing data from public databases, initially identifying collagen type V alpha 2 (COL5A2) as a key gene in OS progression. It further validated biological functions and underlying mechanisms of COL5A2 via in vitro experiments, and constructed and validated prognostic models based on ECM signature cell clusters. Results identified osteoblastic cells (OCs) and endothelial cells (ECs) as core cellular components of OS. COL5A2 was highly expressed in OCs, and high COL5A2 expression correlated with significantly reduced overall survival in OS patients. Western blot, CCK-8, and colony formation assays demonstrated that COL5A2 promoted OS cell proliferation by activating the focal adhesion pathway and inducing phosphorylation of the FAK/Paxillin/Akt signaling axis. The prognostic model highlighted the C0 OCs cluster as clinically significant. CellChat analysis uncovered significant activation of the IGFBP pathway in both C0 OCs and C1 ECs, and identified the IGFBP3-TMEM219 axis as the key ligand-receptor pair mediating their crosstalk. This study establishes COL5A2 and the C0 OCs cluster as pivotal ECM-related signatures in OS, confirming COL5A2 drives OS proliferation through focal adhesion signaling and IGFBP3-TMEM219-mediated crosstalk-both representing promising therapeutic targets. Further investigation into ECM components is warranted to refine OS treatment strategies and improve clinical outcomes.
Indexed as
Identifiers
41057667What OpenQuestion 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 OpenQuestion graph.