Ran promotes the proliferation and migration ability of head and neck squamous cell carcinoma cells

Zhang, Chong; Zhao, Xida; Du, Wei‐Dong; Shen, Jing; Li, Siqi; Li, Zijia; Wang, Zengxu; Liu, Fa‐Yu

doi:10.1016/j.prp.2020.152951

Cited by 7 publications

(6 citation statements)

References 40 publications

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“…We first identified genes that were significantly correlated with ENO1by constructing a co-expression network, among which TPI1, RAN and GAPDH showed the strongest correlation with ENO1 in BLCA. Previous studies have demonstrated that TPI1 and RAN exerted crucial effects on tumor initiation and progression [ 37 – 40 ]. For example, the reduction of TPI1 in extracellular vesicles mediated by Rab20 downregulation facilitates aerobic glycolysis to drive hepatocarcinogenesis [ 41 ].…”

Section: Discussionmentioning

confidence: 99%

Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer

Huang

Yan

Wang³

et al. 2022

J Transl Med

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Background Enolase is an essential enzyme in the process of glycolysis and has been implicated in cancer progression. Though dysregulation of ENOs has been reported in multiple cancers, their prognostic value and specific role in bladder cancer (BLCA) remain unclear. Methods Multiple databases were employed to examine the expression of ENOs in BLCA. The expression of ENO1 was also validated in BLCA cell lines and tissue samples by western blotting and immunohistochemistry. Kaplan–Meier analysis, ROC curve, univariate and multivariate Cox regression were performed to evaluate the predictive capability of the ENO1. Gene ontology (GO) and Gene Set Enrichment Analyses (GSEA) analysis were employed to perform the biological processes enrichment. Function experiments were performed to explore the biological role of ENO1 in BLCA. The correlation of ENO1 with immune cell infiltration was explored by CIBERSORT. Results By analyzing three ENO isoforms in multiple databases, we identified that ENO1 was the only significantly upregulated gene in BLCA. High expression level of ENO1 was further confirmed in BLCA tissue samples. Aberrant ENO1 overexpression was associated with clinicopathological characteristics and unfavorable prognosis. Functional studies demonstrated that ENO1 depletion inhibited cancer cell aggressiveness. Furthermore, the expression level of ENO1 was correlated with the infiltration levels of immune cells and immune-related functions. Conclusions Taken together, our results indicated that ENO1 might serve as a promising prognostic biomarker for prognosticating prognosis associated with the tumor immune microenvironment, suggesting that ENO1 could be a potential immune-related target against BLCA.

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Section: Discussionmentioning

confidence: 99%

Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer

Huang

Yan

Wang³

et al. 2022

J Transl Med

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“…PPM1G, protein phosphatase, Mg2+/Mn2+-dependent 1G, was reported to promote the progression of HCC by regulating the alternative splicing of SRSF3 ( Chen et al, 2021 ). RAN, a member of RAS oncogene family, could promote the proliferation and migration ability of head and neck squamous cell carcinoma cells ( Zhang et al, 2020 ). SNRPB, small nuclear ribonucleoprotein polypeptides B and B1, has been reported to promote HCC progression by inducing metabolic reprogramming ( Chen et al, 2020 ).…”

Section: Discussionmentioning

confidence: 99%

The Prognostic Significance and Potential Mechanism of Ferroptosis-Related Genes in Hepatocellular Carcinoma

Zhang

et al. 2022

Front. Genet.

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Ferroptosis exerts a pivotal role in the formation and dissemination processes of hepatocellular carcinoma (HCC). The heterogeneity of ferroptosis and the link between ferroptosis and immune responses have remained elusive. Based on ferroptosis-related genes (FRGs) and HCC patients from The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) cohorts, we comprehensively explored the heterogeneous ferroptosis subtypes. The genetic alterations, consensus clustering and survival analysis, immune infiltration, pathway enrichment analysis, integrated signature development, and nomogram building were further investigated. Kaplan–Meier plotter confirmed statistically differential probabilities of survival among the three subclusters. Immune infiltration analysis showed there were clear differences among the types of immune cell infiltration, the expression of PD-L1, and the distribution of TP53 mutations among the three clusters. Univariate Cox regression analysis, random survival forest, and multivariate Cox analysis were used to identify the prognostic integrated signature, including MED8, PIGU, PPM1G, RAN, and SNRPB. Kaplan–Meier analysis and time-dependent receiver operating characteristic (ROC) curves revealed the satisfactory predictive potential of the five-gene model. Subsequently, a nomogram was established, which combined the signature with clinical factors. The nomogram including the ferroptosis-based signature was conducted and showed some clinical net benefits. These results facilitated an understanding of ferroptosis and immune responses for HCC.

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“…Proteins encoded by CFL1, S100A6, ACTB, VIM, PFN1, ANXA2, RAN , and TPM4 have been found to be involved in the transport of actin–cofilin complex from the cytoplasm to nucleus, cell cycle process and differentiation, cell structure integrity and intercellular signal transfer, cytoskeleton stabilization and cytoplasmic integrity, regulation of cell growth, control of DNA synthesis, and regulation of microtubule polymerization during mitosis. All of these factors are critical in cell proliferation and differentiation (Filipek & Leśniak, 2020; Gibbs et al, 2019; Guo et al, 2013; Huang et al, 2020; Luo et al, 2021; Song et al, 2020; Wachsmannova et al, 2019; Z. L. Yang et al, 2013; C. Zhang et al, 2020). At the same time, the KEGG signal route was shown to be engaged in the Rap1 signal pathway, the Hippo signal pathway, focal adhesion, and other molecular signal pathways, all of which are significant in the activity of ADSCs stem cells.…”

Section: Discussionmentioning

confidence: 99%

“…This approach is now widely used to recreate the developmental pathway and differentiation (Filipek & Leśniak, 2020;Gibbs et al, 2019;Guo et al, 2013;Huang et al, 2020;Luo et al, 2021;Song et al, 2020;Wachsmannova et al, 2019;Z. L. Yang et al, 2013;C. Zhang et al, 2020).…”

Section: Gene Expression Features Of Stemness In Distinct Adscs Clustersmentioning

confidence: 99%

“…In 2001, Zuk et al (2001) extracted, for the first time, a kind of fibroblast‐like cells from the adipose tissue, which were equivalent to bone marrow mesenchyme stem cells, termed as adipose‐derived stromal cells (ADSCs). A vast number of subsequent investigations have discovered that these ADSCs can develop into adipocytes, osteoblasts, chondrocytes, myoblasts, neurons, astrocytes, and other target cells in vitro（Cai et al, 2011; Jang et al, 2011; Lu et al, 2012; Ou et al, 2011; Ye et al, 2010; Yuan et al, 2011; C. Zhang et al, 2020; Zielins et al, 2015; Zuk et al, 2002). At the same time, ADSCs got a lot of attention because of its numerous benefits, including a high content in the human body, a simple acquisition technique, and less theoretical issues, among others.…”

Section: Introductionmentioning

confidence: 99%

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Investigate the stemness of adult adipose‐derived stromal cells based on single‐cell RNA‐sequencing

Liu

Zhang

Yuan

et al. 2022

Cell Biology International

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The cellular heterogeneity and genetic features of stemness of adipose-derived stromal cells (ADSCs) remain unclear. Using single-cell RNA sequencing (scRNA-seq), we investigated the genomic features of the stemness gene in ADSCs with genetic variability. We cultured the ADSCs isolated from the fat waste of a healthy adult volunteers undergoing cosmetic plastic surgery to the third generation, used the BD Rhapsody platform to perform scRNA-seq, then used Monocle2 to analyze the growth and development trajectory of ADSCs, Cellular Trajectory Reconstruction Analysis Using Gene Counts and Expression (CytoTRACE) to evaluate the stemness gene characteristics in ADSCs clusters, and Beam to analyze the expression change characteristics of the main stemness related genes of ADSCs. According to the scRNA-seq data of 5325 ADSCs, they could be classified into nine cell clusters. According to CytoTRACE analysis, Cluster 3 of ADSCs had the highest stemness, whereas Cluster 8 had the lowest stemness.Pseudotime analysis revealed that Cluster 3 of ADSCs was primarily dispersed in the middle part of the growth and development trajectory, whereas Cluster 8 was primarily distributed at the end. We summarized the stemness of Cluster 3 in ADSCs with high expression of TPM1 and CCND1 genes in the metaphase of growth and development is the strongest, whereas the stemness of Cluster 8 with high expression of FICD, CREBRF, SDF2L1, HERPUD1, and HYOU1 genes in the telophase of growth and development is the weakest, providing a theoretical basis for screening and improving the therapeutic effect of ADSCs in cell transplantation research.

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Ran promotes the proliferation and migration ability of head and neck squamous cell carcinoma cells

Cited by 7 publications

References 40 publications

Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer

Identification of ENO1 as a prognostic biomarker and molecular target among ENOs in bladder cancer

The Prognostic Significance and Potential Mechanism of Ferroptosis-Related Genes in Hepatocellular Carcinoma

Investigate the stemness of adult adipose‐derived stromal cells based on single‐cell RNA‐sequencing

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