Double-targeting CDCA8 and E2F1 inhibits the growth and migration of malignant glioma

Wang, Xiaoxiong; Wang, Heping; Xu, Jiajun; Hou, Xu; Zhan, Haoqiang; Zhen, Yunbo

doi:10.1038/s41419-021-03405-4

Cited by 20 publications

(15 citation statements)

References 33 publications

(21 reference statements)

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“…The cell migration and invasion were assessed using a transwell assay based on a previously published protocol ( Wang et al, 2021 ). The membrane in the chamber was cut and imaged using light microscopy (Olympus BX53, Japan) (×200 magnification), and the cell counts were obtained using ImageJ software.…”

Section: Methodsmentioning

confidence: 99%

Bioinformatic Analyses and Experimental Verification Reveal that High FSTL3 Expression Promotes EMT via Fibronectin-1/α5β1 Interaction in Colorectal Cancer

Liu

Zeng

et al. 2021

Front. Mol. Biosci.

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Background: Colorectal cancer (CRC) is a typical cancer prevalent worldwide. Despite the conventional treatments, CRC has a poor prognosis due to relapse and metastasis. Moreover, there is a dearth of sensitive biomarkers for predicting prognosis in CRC.Methods: This study used a bioinformatics approach combining validation experiments to examine the value of follistatin-like 3 (FSTL3) as a prognostic predictor and therapeutic target in CRC.Results:FSTL3 was remarkably upregulated in the CRC samples. FSTL3 overexpression was significantly associated with a poor prognosis. FSTL3 was found to activate the epithelial-mesenchymal transition by promoting the binding of FN1 to α5β1. FSTL3 expression was also positively correlated with the abundance of the potent immunosuppressors, M2 macrophages.Conclusion:FSTL3 overexpression affects CRC prognosis and thus, FSTL3 can be a prognostic biomarker and therapeutic target with potential applications in CRC.

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Section: Methodsmentioning

confidence: 99%

Bioinformatic Analyses and Experimental Verification Reveal that High FSTL3 Expression Promotes EMT via Fibronectin-1/α5β1 Interaction in Colorectal Cancer

Liu

Zeng

et al. 2021

Front. Mol. Biosci.

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“…Glioma is one of the most aggressive and common malignant cancer types affecting the central nerve system (CNS) (Chen et al, 2021a), (Wang et al, 2021), which poses a serious threat to human health worldwide. In elderly patients (age, >65 years), the 5-year survival rate is ~5% (Hendriks et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Developing an Immune-Related Signature for Predicting Survival Rate and the Response to Immune Checkpoint Inhibitors in Patients With Glioma

Zhang

Xiao²,

Wang³

et al. 2022

Front. Genet.

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Background: Glioma is one of the most aggressive cancer types affecting the central nerve system, with poor overall survival (OS) rates. The present study aimed to construct a novel immune-related signature to predict prognosis and the efficiency of immunotherapy in patients with glioma.Methods: The mRNA expression data and other clinical information of patients with glioblastoma multiforme (GBM) and low grade glioma (LGG) were obtained from The Cancer Genome Atlas and Chinese Glioma Genome Atlas databases. The immune-related genes were obtained from the Immunology Database and Analysis Portal database. Subsequently, an immune-related signature was created following the results obtained from the Least Absolute Shrinkage and Selection Operator regression model. To validate the predictability of the signature, Kaplan-Meier survival curves and time-dependent receiver operating characteristic curves were created. Moreover, both univariate and multivariate analyses were carried out using the OS between this signature and other clinicopathologic factors, and a nomogram was constructed. In addition, the association between signature, immune cell infiltration, tumor mutation burden and immunophenoscore were determined.Results: Results of the present study using 118 GBM and LGG samples uncovered 15 immune-related genes that were also differently expressed in glioma samples. These were subsequently used to construct the immune-related signature. This signature exhibits the ability to predict prognosis, the infiltration of immune cells in the tumor microenvironment and the response of patients with glioma to immunotherapy.Conclusion: Results of the present study demonstrated that the aforementioned novel immune-related signature may accurately predict prognosis and the response of patients with glioma to immunotherapy.

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“…CCNA2 has been little studied in glioma, and its mechanism of action in glioma needs to be further investigated ( 18 ). CDCA8 acts as a cell cycle regulator and tumor promoter in gliomas and promotes tumor cell proliferation ( 23 ). CDC20 overexpression and its associated gene modules were characteristically elevated, signifying increased genomic instability in gliomas ( 24 ).…”

Section: Discussionmentioning

confidence: 99%

Glioma Subtypes Based on the Activity Changes of Immunologic and Hallmark Gene Sets in Cancer

Chen

2022

Front. Endocrinol.

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PurposeGlioma is the most common primary cranial brain tumor that arises from the cancelation of glial cells (which can be in the brain or spinal cord). It is due to innate genetic risk factors or induced by a carcinogenic environment. If left untreated, the disease has a poor prognosis.MethodsIn this study, we downloaded glioma data from TCGA database and GEO (GSE4412). The GSEA database was used to screen tumor microenvironment-related gene sets. Cancer subtypes were classified by GSVA enrichment method.ResultsBy GSVA enrichment analysis, we obtain three Gliomas cancer subtypes. After further survival prognosis analysis and biological function analysis, we obtained 13 tumor microenvironment gene sets and 14 core genes that affect patients’ survival prognosis, and these genes have the potential to become targets for targeted therapies and disease detection.ConclusionWe screened a total of 13 gene sets through a series of enrichment analyses, statistical and prognostic analyses, etc. Among them, 14 core genes were identified, namely: TOP2A, TPX2, BUB1, AURKB, AURKA, CDK1, BUB1B, CCNA2, CCNB2, CDCA8, CDC20, KIF11, KIF20A and KIF2C.

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Double-targeting CDCA8 and E2F1 inhibits the growth and migration of malignant glioma

Cited by 20 publications

References 33 publications

Bioinformatic Analyses and Experimental Verification Reveal that High FSTL3 Expression Promotes EMT via Fibronectin-1/α5β1 Interaction in Colorectal Cancer

Bioinformatic Analyses and Experimental Verification Reveal that High FSTL3 Expression Promotes EMT via Fibronectin-1/α5β1 Interaction in Colorectal Cancer

Developing an Immune-Related Signature for Predicting Survival Rate and the Response to Immune Checkpoint Inhibitors in Patients With Glioma

Glioma Subtypes Based on the Activity Changes of Immunologic and Hallmark Gene Sets in Cancer

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