High TRAF3IP3 Level Predicts Poor Prognosis of Patients with Gliomas

Yang, Guangli; Shu, Tang; Zhang, Jie; Qin, Ling

doi:10.1016/j.wneu.2021.01.006

Cited by 5 publications

(3 citation statements)

References 34 publications

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“…High protein level of TRAF3IP3 promotes melanoma growth [28]. In patients with glioma, TRAF3IP3 stimulates cell proliferation via ERK signaling pathway and high expression of TRAF3IP3 predict a poor prognosis [29,30]. In our study, TRAF3IP3 expression was negatively associate with T stage and N stage of breast cancer patients.…”

Section: Discussionsupporting

confidence: 54%

SNORA5A regulates tumor-associated macrophage M1/M2 phenotypes via TRAF3IP3 in breast cancer

Zhang

Zheng

Shi

et al. 2022

Preprint

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SnoRNAs have robust potential functions and therapeutic value in breast cancer. Herein, we investigated the role SNORA5A in breast cancer. This study reviewed samples from TCGA. The transcription matrix and clinical information were analyzed using R software and validated in clinical tissue sample. SNORA5A was significantly down-regulated in breast cancer and high expression of SNORA5A correlated with a favorable prognosis. High expression of SNORA5A induced high concentration of tumor-associated macrophages M1 and low concentration of tumor-associated macrophages M2. Moreover, SNORA5A were clustered in terms related to cancer and immune functions. Possible downstream molecules of SNORA5A were identified, among which TRAF3IP3 was positively correlated with M1 and negatively correlated with M2. The function of TRAF3IP3 in tumor inhibition and its relation with macrophages in clinical tissue samples were in accordance with bioinformatics analysis results. Hence, SNORA5A could regulate macrophage phenotypes through TRAF3IP3 and serves as a potential prognostic marker for breast cancer patients.

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Section: Discussionsupporting

confidence: 54%

SNORA5A regulates tumor-associated macrophage M1/M2 phenotypes via TRAF3IP3 in breast cancer

Zhang

Zheng

Shi

et al. 2022

Preprint

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“…TRAF3IP3 expression is significantly higher in melanoma than in normal tissues (10). Yang et al previously reported that high TRAF3IP3 expression in patients with glioma might be associated with poorer prognoses (39). Compared to the study by Yang et al, our study is more in-depth and detailed with regard to bioinformatic analyses.…”

Section: Discussionmentioning

confidence: 77%

TRAF3IP3 promotes glioma progression through the ERK signaling pathway

Chen²,

Zhang³

et al. 2022

Front. Oncol.

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TRAF3IP3 was reportedly associated with poor prognosis in patients with melanoma; however, its role in glioma is unknown. We aimed to demonstrate the relationship between TRAF3IP3 and glioma and to investigate the potential role of TRAF3IP3 in glioma. Datasets were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We used the Wilcoxon rank-sum test to compared TRAF3IP3 expression in normal and glioma tissues. Kaplan-Meier analysis was performed to evaluate the correlation between TRAF3IP3 and patient survival rate. Gene set enrichment analysis (GSEA) was used to annotate the biological function of TRAF3IP3 in glioma. We also examined the effects of TRAF3IP3 on glioma progression, including characteristics such as cell proliferation, migration, and invasion, using cell proliferation, wound healing, and Transwell assays, respectively, paired with in vitro glioma cell lines and in vivo mouse xenograft models to determine the molecular mechanisms underlying these effects. High TRAF3IP3 expression in glioma tissues was associated with patients with neoplasm cancer tissue source site, and poorer overall survival (OS) (p = 0.03), which was validated using TCGA. GSEA revealed the enrichment of neuroactive ligand-receptor interactions, the olfactory pathway, proteasome pathway, cytokine-cytokine receptor interactions, and calcium signaling pathway in the TRAF3IP3 high-expression phenotype. TRAF3IP3 knockdown markedly suppressed the proliferation, migration, and invasion abilities of U251 glioma cells, whereas TRAF3IP3 overexpression notably promoted the progression of U118 cell tumors. Mechanistic studies revealed that TRAF3IP3 upregulated p-ERK expression in glioma cells. Notably, the ERK signaling pathway inhibitor U0126 drastically attenuated the effects of TRAF3IP3 on p-ERK and markedly blocked its tumorpromoting activity. TRAF3IP3 overexpression also promoted in vivo tumor growth in a nude mouse xenograft model. Collectively, TRAF3IP3 stimulates glioma cell proliferation, migration, and invasion, at least partly by activating the ERK signaling pathway. We hypothesize that TRAF3IP3 may participate in glioma development via the ERK signaling pathway and that elevated TRAF3IP3 expression may serve as a potential biomarker for glioma prognosis.

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“…Recent studies have shown that TRAF3IP3 is involved in B and T cell development and for maintaining the functional stability of regulatory T cells [ 46 , 47 ]. TRAF3IP3 has been shown to function as an oncogene in melanoma and glioma [ 48 , 49 ].…”

Section: Discussionmentioning

confidence: 99%

Identification of Key Genes in the HBV-Related HCC Immune Microenvironment Using Integrated Bioinformatics Analysis

Ding

Zhang

et al. 2022

Journal of Oncology

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Purpose. Hepatocellular carcinoma (HCC) has poor prognosis and high mortality among gastrointestinal tumors because of its insidious onset and strong invasiveness. However, there was little understanding of their pathogenesis. The purpose of this study was to use bioinformatics analysis to identify genes associated with the immune microenvironment in HBV-related HCC and to develop new therapeutic targets to prevent and treat cancer. Methods. RNA-seq data of HBV-related HCC cases were downloaded from TCGA-LIHC database. ESTIMATE and Deseq2 algorithms were used to screen out differentially expressed genes (DEGs). WGCNA was used to construct gene coexpression networks. In key modules, functional enrichment analysis was performed. Protein-protein interaction (PPI) was used to screen hub genes, and survival analysis was conducted to assess their prognostic significance. Following, we search for key genes differentially expressed between cancerous and paracancerous tissues in GSE136247 and GSE121248 datasets. Reveal the potential links between key genes in immune infiltration by using TIMER. Finally, in TCGA-LIHC database, integration of key genes with clinical data were used to further validate their correlation with prognosis. Results. In the cohort of HBV-related HCC patients, immune/stromal/ESTIMATE scores were not significantly associated with patient prognosis. After bioinformatics analysis, screening out five key genes was significantly related to the prognosis of HBV-related HCC. Downregulation of SLAMF1 and TRAF3IP3 suggested poor prognosis and was related to a variety of immune cell infiltration. Furthermore, compared with adjacent nontumor tissues, TRAF3IP3 and SLAMF1 were highly expressed in tumor tissues and were linked to tumor recurrences. Conclusion. In conclusion, SLAMF1 and TRAF3IP3 were identified with higher expression in tumor tissues and associated with tumor recurrence. It will be a new research direction of tumor progress and treatment.

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High TRAF3IP3 Level Predicts Poor Prognosis of Patients with Gliomas

Cited by 5 publications

References 34 publications

SNORA5A regulates tumor-associated macrophage M1/M2 phenotypes via TRAF3IP3 in breast cancer

SNORA5A regulates tumor-associated macrophage M1/M2 phenotypes via TRAF3IP3 in breast cancer

TRAF3IP3 promotes glioma progression through the ERK signaling pathway

Identification of Key Genes in the HBV-Related HCC Immune Microenvironment Using Integrated Bioinformatics Analysis

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