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Prognostic Value and Biological Function of Galectins in Malignant Glioma

Malignant glioma is the most common solid tumor of the adult brain, with high lethality and poor prognosis. Hence, identifying novel and reliable biomarkers can be advantageous for diagnosing and treating glioma. Several galectins encoded by LGALS genes have recently been reported to participate in...

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Autores principales: Zhu, Hongtao, Liu, Dan, Cheng, Lidong, Liu, Jingdian, Wang, Guanghui, Li, Huan, Zhang, Yang, Mi, Hailong, Zhang, Suojun, Shu, Kai, Yu, Xingjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263596/
https://www.ncbi.nlm.nih.gov/pubmed/35814469
http://dx.doi.org/10.3389/fonc.2022.834307
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author Zhu, Hongtao
Liu, Dan
Cheng, Lidong
Liu, Jingdian
Wang, Guanghui
Li, Huan
Zhang, Yang
Mi, Hailong
Zhang, Suojun
Shu, Kai
Yu, Xingjiang
author_facet Zhu, Hongtao
Liu, Dan
Cheng, Lidong
Liu, Jingdian
Wang, Guanghui
Li, Huan
Zhang, Yang
Mi, Hailong
Zhang, Suojun
Shu, Kai
Yu, Xingjiang
author_sort Zhu, Hongtao
collection PubMed
description Malignant glioma is the most common solid tumor of the adult brain, with high lethality and poor prognosis. Hence, identifying novel and reliable biomarkers can be advantageous for diagnosing and treating glioma. Several galectins encoded by LGALS genes have recently been reported to participate in the development and progression of various tumors; however, their detailed role in glioma progression remains unclear. Herein, we analyzed the expression and survival curves of all LGALS across 2,217 patients with glioma using The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and Rembrandt databases. By performing multivariate Cox analysis, we built a survival model containing LGALS1, LGALS3, LGALS3BP, LGALS8, and LGALS9 using TCGA database. The prognostic power of this panel was assessed using CGGA and Rembrandt datasets. ESTIMATE and CIBERSORT algorithms confirmed that patients in high-risk groups exhibited significant stromal and immune cell infiltration, immunosuppression, mesenchymal subtype, and isocitrate dehydrogenase 1 (IDH1) wild type. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), CancerSEA, and Gene Set Enrichment Analysis (GSEA) showed that pathways related to hypoxia, epithelial-to-mesenchymal transition (EMT), stemness, and inflammation were enriched in the high-risk group. To further elucidate the function of LGALS in glioma, we performed immunohistochemical staining of tissue microarrays (TMAs), Western blotting, and cell viability, sphere formation, and limiting dilution assays following lentiviral short hairpin RNA (shRNA)-mediated LGALS knockdown. We observed that LGALS expression was upregulated in gliomas at both protein and mRNA levels. LGALS could promote the stemness maintenance of glioma stem cells (GSCs) and positively correlate with M2-tumor-associated macrophages (TAMs) infiltration. In conclusion, we established a reliable survival model for patients with glioma based on LGALS expression and revealed the essential roles of LGALS genes in tumor growth, immunosuppression, stemness maintenance, pro-neural to mesenchymal transition, and hypoxia in glioma.
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spelling pubmed-92635962022-07-09 Prognostic Value and Biological Function of Galectins in Malignant Glioma Zhu, Hongtao Liu, Dan Cheng, Lidong Liu, Jingdian Wang, Guanghui Li, Huan Zhang, Yang Mi, Hailong Zhang, Suojun Shu, Kai Yu, Xingjiang Front Oncol Oncology Malignant glioma is the most common solid tumor of the adult brain, with high lethality and poor prognosis. Hence, identifying novel and reliable biomarkers can be advantageous for diagnosing and treating glioma. Several galectins encoded by LGALS genes have recently been reported to participate in the development and progression of various tumors; however, their detailed role in glioma progression remains unclear. Herein, we analyzed the expression and survival curves of all LGALS across 2,217 patients with glioma using The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and Rembrandt databases. By performing multivariate Cox analysis, we built a survival model containing LGALS1, LGALS3, LGALS3BP, LGALS8, and LGALS9 using TCGA database. The prognostic power of this panel was assessed using CGGA and Rembrandt datasets. ESTIMATE and CIBERSORT algorithms confirmed that patients in high-risk groups exhibited significant stromal and immune cell infiltration, immunosuppression, mesenchymal subtype, and isocitrate dehydrogenase 1 (IDH1) wild type. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), CancerSEA, and Gene Set Enrichment Analysis (GSEA) showed that pathways related to hypoxia, epithelial-to-mesenchymal transition (EMT), stemness, and inflammation were enriched in the high-risk group. To further elucidate the function of LGALS in glioma, we performed immunohistochemical staining of tissue microarrays (TMAs), Western blotting, and cell viability, sphere formation, and limiting dilution assays following lentiviral short hairpin RNA (shRNA)-mediated LGALS knockdown. We observed that LGALS expression was upregulated in gliomas at both protein and mRNA levels. LGALS could promote the stemness maintenance of glioma stem cells (GSCs) and positively correlate with M2-tumor-associated macrophages (TAMs) infiltration. In conclusion, we established a reliable survival model for patients with glioma based on LGALS expression and revealed the essential roles of LGALS genes in tumor growth, immunosuppression, stemness maintenance, pro-neural to mesenchymal transition, and hypoxia in glioma. Frontiers Media S.A. 2022-06-24 /pmc/articles/PMC9263596/ /pubmed/35814469 http://dx.doi.org/10.3389/fonc.2022.834307 Text en Copyright © 2022 Zhu, Liu, Cheng, Liu, Wang, Li, Zhang, Mi, Zhang, Shu and Yu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Zhu, Hongtao
Liu, Dan
Cheng, Lidong
Liu, Jingdian
Wang, Guanghui
Li, Huan
Zhang, Yang
Mi, Hailong
Zhang, Suojun
Shu, Kai
Yu, Xingjiang
Prognostic Value and Biological Function of Galectins in Malignant Glioma
title Prognostic Value and Biological Function of Galectins in Malignant Glioma
title_full Prognostic Value and Biological Function of Galectins in Malignant Glioma
title_fullStr Prognostic Value and Biological Function of Galectins in Malignant Glioma
title_full_unstemmed Prognostic Value and Biological Function of Galectins in Malignant Glioma
title_short Prognostic Value and Biological Function of Galectins in Malignant Glioma
title_sort prognostic value and biological function of galectins in malignant glioma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9263596/
https://www.ncbi.nlm.nih.gov/pubmed/35814469
http://dx.doi.org/10.3389/fonc.2022.834307
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