Effect of glioma-derived immunoglobulin on biological function of glioma cells

Lv, Jiaoyun; Chen, Suhua; Chen, Xin; Xie, Junxia; He, Ziyi; Fan, Tianrui; Ma, Kaiming; Abudurousuli, Kayisaier; Yang, Jun; Qiu, Xiaoyan; Dai, Hui

doi:10.1016/j.ejca.2022.08.006

Cited by 3 publications

(2 citation statements)

References 43 publications

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“…Functional enrichment analysis indicated that EFNA4 promoted the progression and metastasis of GBMLGG through speci c mechanisms. Differentially expressed genes were signi cantly enriched in signaling pathways that promoted tumorigenesis in GBMLGG, including the tyrosine kinase, Ras, PI3K-Akt, and MAPK signaling pathways (23,24). The enrichment of the genes in synaptic and axon guidance pathways suggested that the tumorigenic effects of EFNA4 were related to the promotion of cell proliferation and remodeling of neural networks in GBMLGG (25).…”

Section: Discussionmentioning

confidence: 99%

EFNA4 as a potential prognostic biomarker and therapeutic target for GBMLGG

Tang,

Zhang,

Liu

et al. 2024

Preprint

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Background Ephrin-A4 (EFNA4) is present in numerous tissues and is connected to the growth and development of multiple types of cancer. The differences in EFNA4 expression in various types of cancer and its impact on glioblastoma and low-grade glioma (GBMLGG) are not well understood. This research seeks to determine the prognostic value of EFNA4 in predicting the outcomes of GBMLGG and to examine the role of EFNA4 in tumorigenesis in GBMLGG. Methods The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases were used to examine the differential expression and genetic alterations of EFNA4, and their relationship with patient survival in 33 cancer types. Multiple algorithms were used to examine the correlation between EFNA4 expression and the infiltration of cancer-associated fibroblasts, the immune infiltration landscape, expression of immunomodulatory genes, tumor mutational burden (TMB), and the microsatellite instability (MSI) score of GBMLGG. Univariate and multivariate Cox regression models and a nomogram were developed to forecast the outcomes of patients with GBMLGG. We also established protein-protein interaction networks, identified related functional signaling pathways, and conducted drug sensitivity analyses to examine the role of EFNA4 in the progression of GBMLGG. Results In most types of cancer, there was an increase in EFNA4 mRNA expression, which was found to be associated with prognosis. The expression of EFNA4 had a positive correlation with cancer-associated fibroblast infiltration levels in various cancer types, and the levels of EFNA4 expression were markedly elevated in tumor tissues in comparison to normal tissues in GBMLGG. Overexpression of EFNA4 was significantly correlated with tumor progression, a poor prognosis, and high immune scores in GBMLGG. The nomogram and EFNA4 expression status demonstrated their ability to accurately predict the outcomes of patients with GBMLGG. Moreover, it was discovered that the expression of EFNA4 had a considerable correlation with the expression of immunomodulatory genes and biological processes such as immune cell infiltration, the tyrosine kinase signaling pathway, neurotransmitter transmission between synapses, and epithelial-mesenchymal transition in GBMLGG. Conclusions The findings of this research indicate that EFNA4 has great potential as both a prognostic biomarker and a target for the therapy for GBMLGG.

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Section: Discussionmentioning

confidence: 99%

EFNA4 as a potential prognostic biomarker and therapeutic target for GBMLGG

Tang,

Zhang,

Liu

et al. 2024

Preprint

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“…Because our work is directed toward the identification of biomarkers for the early diagnosis of GBM, we focused on CACLR, considering its cellular functions as a tumor suppressor, which are currently little known, and its ability to interact with various chaperone molecules, including some belonging to the Hsp70 family ( Figure 4 B). Furthermore, our proteomic analysis identified proteins involved in the canonical and alternative complement pathways, in the metabolic pathway, in inflammatory pathways, and more (additional information is presented in Table S3 [ 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 ]). The differentially expressed proteins were further analyzed using the STRING database to derive an interaction network and potential signaling pathways, which may reveal the tumorigenic mechanism underlying GBM ( Figure 4 B).…”

Section: Discussionmentioning

confidence: 99%

Hsp70 and Calcitonin Receptor Protein in Extracellular Vesicles from Glioblastoma Multiforme: Biomarkers with Putative Roles in Carcinogenesis and Potential for Differentiating Tumor Types

Alberti,

Sánchez-López,

Marcilla

et al. 2024

IJMS

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Glioblastoma multiforme (GBM) is a malignancy of bad prognosis, and advances in early detection and treatment are needed. GBM is heterogenous, with varieties differing in malignancy within a tumor of a patient and between patients. Means are needed to distinguish these GMB forms, so that specific strategies can be deployed for patient management. We study the participation of the chaperone system (CS) in carcinogenesis. The CS is dynamic, with its members moving around the body in extracellular vesicles (EVs) and interacting with components of other physiological systems in health and disease, including GBM. Here, we describe the finding of high amounts of Hsp70 (HSPA1A) and the calcitonin receptor protein (CTR) in EVs in patients with GBM. We present a standardized protocol for collecting, purifying, and characterizing EVs carrying Hsp70 and CTR in plasma-derived EVs from patients with GBM. EVs from GBM patients were obtained just before tumor ablative surgery (T0) and 7 days afterwards (T1); Hsp70 was highly elevated at T0 and less so at T1, and CTR was greatly increased at T0 and reduced to below normal values at T1. Our results encourage further research to assess Hsp70 and CTR as biomarkers for differentiating tumor forms and to determine their roles in GBM carcinogenesis.

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Re: Effect of glioma-derived immunoglobulin on biological function of glioma cells: The emerging roles of immunoglobulins in the tumor immune microenvironment

Sun

2023

European Journal of Cancer

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Effect of glioma-derived immunoglobulin on biological function of glioma cells

Cited by 3 publications

References 43 publications

EFNA4 as a potential prognostic biomarker and therapeutic target for GBMLGG

EFNA4 as a potential prognostic biomarker and therapeutic target for GBMLGG

Hsp70 and Calcitonin Receptor Protein in Extracellular Vesicles from Glioblastoma Multiforme: Biomarkers with Putative Roles in Carcinogenesis and Potential for Differentiating Tumor Types

Re: Effect of glioma-derived immunoglobulin on biological function of glioma cells: The emerging roles of immunoglobulins in the tumor immune microenvironment

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