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Series GSE270231 Query DataSets for GSE270231
Status Public on Jun 19, 2024
Title Aberrant activation of wound healing programs within the metastatic niche facilitates lung colonization by osteosarcoma cells
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: Lung metastasis is responsible for nearly all deaths caused by osteosarcoma, the most common pediatric bone tumor. How malignant bone cells coerce the lung microenvironment to support metastatic growth is unclear. This study delineates how osteosarcoma cells educate the lung microenvironment during metastatic progression. Experimental design: Using single-cell transcriptomics (scRNA-seq), we characterized genome- and tissue-wide molecular changes induced within lung tissues by disseminated osteosarcoma cells in both immunocompetent murine models of metastasis and patient samples. We confirmed transcriptomic findings at the protein level and determined spatial relationships with multi-parameter immunofluorescence. We evaluated the ability of nintedanib to impair metastatic colonization and prevent osteosarcoma-induced education of the lung microenvironment in both immunocompetent murine osteosarcoma and immunodeficient human xenograft models. Results: Osteosarcoma cells induced acute alveolar epithelial injury upon lung dissemination. scRNA-seq demonstrated that the surrounding lung stroma adopts a chronic, non-resolving wound-healing phenotype similar to that seen in other models of lung injury. Accordingly, metastasis-associated lung demonstrated marked fibrosis, likely due to the accumulation of pathogenic, pro-fibrotic, partially-differentiated epithelial intermediates. Inhibitionintermediates. Inhibition of fibrotic pathways with nintedanib prevented metastatic progression in multiple murine and human xenograft models. Conclusions: Our work demonstrates that osteosarcoma cells co-opt fibrosis to promote metastatic outgrowth. When harmonized with data from adult epithelial cancers, our results support a generalized model wherein aberrant mesenchymal-epithelial interactions are critical for promoting lung metastasis. Adult epithelial carcinomas induce fibrotic pathways in normal lung fibroblasts, whereas osteosarcoma, a pediatric mesenchymal tumor, exhibits fibrotic reprogramming in response to the aberrant wound-healing behaviors of an otherwise normal lung epithelium, which are induced by tumor cell interactions.
 
Overall design We utilized multiple immunocompetent murine osteosarcoma lung metastasis models coupled with single-cell RNA transcriptomics to characterize the cellular and molecular changes induced to the lung microenvironment by disseminated osteosarcoma cells. Transcriptomic findings were confirmed at the protein level with immunohistochemistry in mouse models as well as human patient samples. We tested the effect of nintedanib, an orally available tyrosine kinase inhibitor, for its ability to impair metastasis and prevent osteosarcoma education of the lung microenvironment in both immunocompetent murine osteosarcoma models and immunodeficient human xenograft models. This is the human portion of the data.
Web link https://www.biorxiv.org/content/10.1101/2024.01.10.575008v1
 
Contributor(s) Reinecke JB, Gross AC, Cam M, Garcia LJ, Cannon MV, Dries R, Gryder BE, Roberts RD
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BioProject PRJNA1081502
Submission date Jun 18, 2024
Last update date Sep 05, 2024
Contact name Matt Cannon
E-mail(s) matthewvc1@gmail.com
Organization name Nationwide Children's Hospital
Department Center for Childhood Cancer
Street address 700 Children's Dr.
City Columbus
State/province OH
ZIP/Postal code 43205
Country USA
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (7)
GSM8337654 NCHS-009 Single-cell RNAseq of osteosarcoma patient metastasis. Hilar lobe
GSM8337655 NCHS-009 Single-cell RNAseq of osteosarcoma patient metastasis. Lower lobe
GSM8337656 NCHS-015 Single-cell RNAseq of osteosarcoma patient metastasis. Right Hilar I lobe

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Supplementary file Size Download File type/resource
GSE270231_RAW.tar 502.5 Mb (http)(custom) TAR (of TAR)
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Raw data are available in SRA

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