Xin Song , Sihao Chen , Junning Cheng , Haiyu Li , Ruixin Wu , Min Yan , Min Wang , Jie Li , Aishun Jin , Wang Wang
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引用次数: 0
Abstract
Purpose
Osteosarcoma (OS) exhibits limited immune cell infiltration that directly contributes to poor prognosis. This study sought to screen and identify pivotal biomarkers of OS immune infiltration and early diagnosis of OS.
Methods
The immune cell infiltration profiles with transcriptome sequencing data from 88 OS samples were explored with CIBERSORT algorithm. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Protein-protein interaction (PPI) network analyses were applied to identify hub genes, with the expressions confirmed by dual immunofluorescence in 50 OS samples. The new biomarker gene HTRA1 were examined by immunohistochemistry and validated by the Immune score and immune gene expression profile analyses. The impact of HTRA1 on OS prognosis was verified by Least absolute shrinkage and selection operator (LASSO) regression analysis. The biological effect of HTRA1 was characterized in MG63 cells.
Result
CD8+ T cells, activated memory CD4+ T cells and plasma cells were positively correlated with the prognosis of OS. Hub genes CCL5, CXCL9, CXCL13, and HTRA1, exhibited positive correlation with the infiltration of both CD8+ T cells and CD4+ T cells. HTRA1 expression was reduced in osteosarcoma tissues, which was positively correlated with immune scores and the expressions of immune-related genes. High levels of HTRA1 were associated with favorable OS prognosis, and could negatively impacted MG63 malignant characteristics.
Conclusion
CCL5, CXCL9, CXCL13, and HTRA1 were OS hub genes positively correlate with CD8+ T cell and CD4+ T cell infiltrations. HTRA1 can serve as an underlying biomarker for the prognosis and immunotherapy of OS.
期刊介绍:
MCP - Advancing biology through–omics and bioinformatic technologies wants to capture outcomes from the current revolution in molecular technologies and sciences. The journal has broadened its scope and embraces any high quality research papers, reviews and opinions in areas including, but not limited to, molecular biology, cell biology, biochemistry, immunology, physiology, epidemiology, ecology, virology, microbiology, parasitology, genetics, evolutionary biology, genomics (including metagenomics), bioinformatics, proteomics, metabolomics, glycomics, and lipidomics. Submissions with a technology-driven focus on understanding normal biological or disease processes as well as conceptual advances and paradigm shifts are particularly encouraged. The Editors welcome fundamental or applied research areas; pre-submission enquiries about advanced draft manuscripts are welcomed. Top quality research and manuscripts will be fast-tracked.