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Low expression of IGFBP4 and TAGLN accelerate the poor overall survival of osteosarcoma

Osteosarcoma is a common malignant bone tumor characterized by the production of osteoid stroma by the tumor. However, effect of IGFBP4 and TAGLN on the survival of osteosarcoma is unclear. The GEO database was used to identify the differentially expressed genes (DEGs) between control samples and os...

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Autores principales: Xi, Yue, Liu, Jianlin, Shen, Gufeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166812/
https://www.ncbi.nlm.nih.gov/pubmed/35665757
http://dx.doi.org/10.1038/s41598-022-13163-8
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author Xi, Yue
Liu, Jianlin
Shen, Gufeng
author_facet Xi, Yue
Liu, Jianlin
Shen, Gufeng
author_sort Xi, Yue
collection PubMed
description Osteosarcoma is a common malignant bone tumor characterized by the production of osteoid stroma by the tumor. However, effect of IGFBP4 and TAGLN on the survival of osteosarcoma is unclear. The GEO database was used to identify the differentially expressed genes (DEGs) between control samples and osteosarcoma. Genes for biological process (BP), cellular composition (CC), and molecular function (MF) were examined using DAVID, Metascape, and GSEA. GSE14359 and GSE36001 were downloaded in the GEO database. GEO2R was used to find DEGs between control samples and osteosarcoma. The cytoHubb also found the hub genes of IGFBP4 and TAGLN. The Kaplan–Meier method was used to analyze overall survival. A total of 134 patients with osteosarcoma were enrolled in this study. The RNA levels of IGFBP4 and TAGLN were evaluated by RT-qPCR. The correlation between IGFBP4 and TAGLN expression and their associations with clinical indicators were analyzed using Spearman's rho test and Pearson's Chi-squared test. Univariate and multivariate Cox regression analyses were used to determine the potential prognostic factors. And the animal model was used to verify the role of hub genes on the osteosarcoma by the RT-qPCR and immunofluorescence. Support Vector Machine (SVM) was performed to construct the correlation among the expression of IGFBP4, TAGLN, and osteosarcoma. Through bioinformatics, IGFBP4 and TAGLN were identified as the hub genes of osteosarcoma. And osteosarcoma patients with high expression levels of IGFBP4 (HR = 0.56, P = 0.013) and TAGLN (HR = 0.52, P = 0.012) had better overall survival times than those with low expression levels. The results showed that pathologic grade (P = 0.017), tumor metastasis (P < 0.001), and enneking stage (P < 0.001) were significantly correlated with IGFBP4. Also, pathologic grade (P = 0.002), tumor metastasis (P < 0.001), and enneking stage (P < 0.001) were significantly related to the TAGLN. Spearman’s correlation coefficient displayed that IGFBP4 were significantly correlated with the tumor metastasis (ρ = − 0.843, P < 0.001), enneking stage (ρ = − 0.500, P < 0.001), and TAGLN (ρ = 0.821, P < 0.001). IGFBP4 (HR = 0.252, 95% CI 0.122–0.517, P < 0.001) and TAGLN (HR = 0.155, 95% CI 0.089–0.269, P < 0.001) were significantly associated with overall survival. Based on the qPCR and immunofluorescence, IGFBP4 and TAGLN were down-regulated in the osteosarcoma tissue than the control group. And the SVM presented that there exists strong relationship among the expression of IGFBP4, TAGLN, and osteosarcoma. IGFBP4 and TAGLN may be attractive molecular targets for osteosarcoma, opening a new avenue for research into the disease.
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spelling pubmed-91668122022-06-05 Low expression of IGFBP4 and TAGLN accelerate the poor overall survival of osteosarcoma Xi, Yue Liu, Jianlin Shen, Gufeng Sci Rep Article Osteosarcoma is a common malignant bone tumor characterized by the production of osteoid stroma by the tumor. However, effect of IGFBP4 and TAGLN on the survival of osteosarcoma is unclear. The GEO database was used to identify the differentially expressed genes (DEGs) between control samples and osteosarcoma. Genes for biological process (BP), cellular composition (CC), and molecular function (MF) were examined using DAVID, Metascape, and GSEA. GSE14359 and GSE36001 were downloaded in the GEO database. GEO2R was used to find DEGs between control samples and osteosarcoma. The cytoHubb also found the hub genes of IGFBP4 and TAGLN. The Kaplan–Meier method was used to analyze overall survival. A total of 134 patients with osteosarcoma were enrolled in this study. The RNA levels of IGFBP4 and TAGLN were evaluated by RT-qPCR. The correlation between IGFBP4 and TAGLN expression and their associations with clinical indicators were analyzed using Spearman's rho test and Pearson's Chi-squared test. Univariate and multivariate Cox regression analyses were used to determine the potential prognostic factors. And the animal model was used to verify the role of hub genes on the osteosarcoma by the RT-qPCR and immunofluorescence. Support Vector Machine (SVM) was performed to construct the correlation among the expression of IGFBP4, TAGLN, and osteosarcoma. Through bioinformatics, IGFBP4 and TAGLN were identified as the hub genes of osteosarcoma. And osteosarcoma patients with high expression levels of IGFBP4 (HR = 0.56, P = 0.013) and TAGLN (HR = 0.52, P = 0.012) had better overall survival times than those with low expression levels. The results showed that pathologic grade (P = 0.017), tumor metastasis (P < 0.001), and enneking stage (P < 0.001) were significantly correlated with IGFBP4. Also, pathologic grade (P = 0.002), tumor metastasis (P < 0.001), and enneking stage (P < 0.001) were significantly related to the TAGLN. Spearman’s correlation coefficient displayed that IGFBP4 were significantly correlated with the tumor metastasis (ρ = − 0.843, P < 0.001), enneking stage (ρ = − 0.500, P < 0.001), and TAGLN (ρ = 0.821, P < 0.001). IGFBP4 (HR = 0.252, 95% CI 0.122–0.517, P < 0.001) and TAGLN (HR = 0.155, 95% CI 0.089–0.269, P < 0.001) were significantly associated with overall survival. Based on the qPCR and immunofluorescence, IGFBP4 and TAGLN were down-regulated in the osteosarcoma tissue than the control group. And the SVM presented that there exists strong relationship among the expression of IGFBP4, TAGLN, and osteosarcoma. IGFBP4 and TAGLN may be attractive molecular targets for osteosarcoma, opening a new avenue for research into the disease. Nature Publishing Group UK 2022-06-03 /pmc/articles/PMC9166812/ /pubmed/35665757 http://dx.doi.org/10.1038/s41598-022-13163-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Xi, Yue
Liu, Jianlin
Shen, Gufeng
Low expression of IGFBP4 and TAGLN accelerate the poor overall survival of osteosarcoma
title Low expression of IGFBP4 and TAGLN accelerate the poor overall survival of osteosarcoma
title_full Low expression of IGFBP4 and TAGLN accelerate the poor overall survival of osteosarcoma
title_fullStr Low expression of IGFBP4 and TAGLN accelerate the poor overall survival of osteosarcoma
title_full_unstemmed Low expression of IGFBP4 and TAGLN accelerate the poor overall survival of osteosarcoma
title_short Low expression of IGFBP4 and TAGLN accelerate the poor overall survival of osteosarcoma
title_sort low expression of igfbp4 and tagln accelerate the poor overall survival of osteosarcoma
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166812/
https://www.ncbi.nlm.nih.gov/pubmed/35665757
http://dx.doi.org/10.1038/s41598-022-13163-8
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