Identification of core genes as potential biomarkers for predicting progression and prognosis in glioblastoma

Zeng, Jianping; Hua, Shushan; Liu, Jing; Mungur, Rajneesh; Feng, Jingyuan

doi:10.3389/fgene.2022.928407

Cited by 4 publications

(5 citation statements)

References 45 publications

(47 reference statements)

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“…Zeng et al. found that the expression level of NDC80 in human glioblastoma cells was significantly higher than that in normal cells and that NDC80 could promote the proliferation and invasion of human glioblastoma cells ( 33 ). Qin et al.…”

Section: Resultsmentioning

confidence: 99%

“…Kodama et al found that SPDL1 can be regulated by MRTFB to inhibit the development of colorectal cancer (32). Zeng et al found that the expression level of NDC80 in human glioblastoma cells was significantly higher than that in normal cells and that NDC80 could promote the proliferation and invasion of human glioblastoma cells (33). Qin et al also found that BUB1B is highly expressed in nasopharyngeal carcinoma and that BUB1B can promote tumor progression by regulating the cell cycle (34).…”

Section: Results Mrna Level and Prognostic Value Of The Ska Familymentioning

confidence: 99%

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Immunological role and prognostic value of the SKA family in pan-cancer analysis

Huang

et al. 2023

Front. Immunol.

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BackgroundThe spindle and kinetochore associated (SKA) complex, which plays important roles in proper chromosome segregation during mitosis by maintaining the stabilization of kinetochore-spindle microtubule attachment during mitosis, has recently been reported to exert regulatory effects on the initiation and progression of various human cancer types. Nevertheless, the prognostic significance and immune infiltration of the SKA family across cancers have not been well elucidated.MethodsUsing data from three large public datasets, including The Cancer Genome Atlas, Genotype-Tissue Expression, and Gene Expression Omnibus databases, a novel scoring system (termed the SKA score) was developed to quantify the SKA family level across cancers. We then evaluated the prognostic impact of the SKA score on survival and assessed the effect of the SKA score on immunotherapy at the pan-cancer level using multiomics bioinformatic analyses. The correlation of the SKA score and the tumor microenvironment (TME) was also explored in depth. Potential small molecular compounds and chemotherapeutic agents were assessed by CTRP and GDSC analyses. Immunohistochemistry was performed to verify the expression of the SKA family genes.ResultsOur results demonstrated a close correlation between the SKA score and tumor development and prognosis in multiple cancers. The SKA score was positively related to cell cycle pathways and DNA replication across cancers, such as E2F targets, the G2M checkpoint, MYC targets V1/V2, mitotic spindles and DNA repair. Additionally, the SKA score was negatively related to the infiltration of various immune cells with antitumor effects in the TME. In addition, the potential value of the SKA score was identified to predict immunotherapy response for melanoma and bladder cancer. We also demonstrated a correlation between SKA1/2/3 and the response to drug treatment across cancers and the promising potential of the SKA complex and its genes as therapeutic targets in cancer. Immunohistochemistry demonstrated that the expression differences of SKA1/2/3 were significant between the breast cancer group and the paracancerous group.ConclusionThe SKA score plays a critical role in 33 cancer types and is highly related to tumor prognosis. Patients with elevated SKA scores have a clear immunosuppressive TME. The SKA score may serve as a predictor for patients receiving anti-PD-1/L1 therapy.

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Section: Resultsmentioning

confidence: 99%

Section: Results Mrna Level and Prognostic Value Of The Ska Familymentioning

confidence: 99%

Immunological role and prognostic value of the SKA family in pan-cancer analysis

Huang

et al. 2023

Front. Immunol.

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“… 32 Meanwhile the potential functions of HEC1 in glioma have been rarely reported. A previous study found increased HEC1 expression in GBM and positively correlated to the degree of malignancy, and HEC1 could accelerate the proliferation and invasion ability of GBM cells, 21 but its specific biological function and mechanisms in glioma yet to be elucidated. Here, we again found that HEC1 is highly expressed in glioma, and its high expression was associated with malignant clinical features and worse prognosis.…”

Section: Discussionmentioning

confidence: 95%

“…However, whether HEC1 could influence the tumor immune microenvironment is not known. A few studies have also examined the biological functions of HEC1 in glioma and observed overexpression of HEC1 in glioma cells and associated with their proliferation and invasion 21 . However, the molecular mechanism of HEC1 in regulating glioma remains to be elucidated.…”

Section: Introductionmentioning

confidence: 99%

NDC80/HEC1 promotes macrophage polarization and predicts glioma prognosis via single‐cell RNA‐seq and in vitro experiment

Ye,

Liang,

Chen

et al. 2024

CNS Neurosci Ther

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IntroductionGlioma is the most frequent and lethal form of primary brain tumor. The molecular mechanism of oncogenesis and progression of glioma still remains unclear, rendering the therapeutic effect of conventional radiotherapy, chemotherapy, and surgical resection insufficient. In this study, we sought to explore the function of HEC1 (highly expressed in cancer 1) in glioma; a component of the NDC80 complex in glioma is crucial in the regulation of kinetochore.MethodsBulk RNA and scRNA‐seq analyses were used to infer HEC1 function, and in vitro experiments validated its function.ResultsHEC1 overexpression was observed in glioma and was indicative of poor prognosis and malignant clinical features, which was confirmed in human glioma tissues. High HEC1 expression was correlated with more active cell cycle, DNA‐associated activities, and the formation of immunosuppressive tumor microenvironment, including interaction with immune cells, and correlated strongly with infiltrating immune cells and enhanced expression of immune checkpoints. In vitro experiments and RNA‐seq further confirmed the role of HEC1 in promoting cell proliferation, and the expression of DNA replication and repair pathways in glioma. Coculture assay confirmed that HEC1 promotes microglial migration and the transformation of M1 phenotype macrophage to M2 phenotype.ConclusionAltogether, these findings demonstrate that HEC1 may be a potential prognostic marker and an immunotherapeutic target in glioma.

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“…In contrast, UST, UROS and OSBPL11 were identi ed as protective genes. TOP2A, namely DNA topoisomerase II alpha, plays an important role in altering DNA topology [14] . Liu et al found that TOP2A could activate the Wnt/β-catenin pathway in glioma and promote cell growth, migration, and invasion [15] .…”

Section: Discussionmentioning

confidence: 99%

Neddylation-related gene signature predicts the prognosis and is associated with immune infiltration of glioma

Jiang,

Yin,

Tang

et al. 2024

Preprint

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Background Glioma is the most prevalent malignant tumor that originates from central nervous system. Neddylation, a post-translational modification similar to ubiquitination, is involved in tumorigenesis and progression. However, there were limited studies focused on the neddylation in glioma. Therefore, we aimed to explore the potential role of neddylation in glioma. Methods In this study, neddylation-related genes (NRGs) were identified and were used to construct a prognostic signature for glioma patients. Based on this prognostic index, we also explored the differences in clinical features, mutational landscape, immune cell infiltration between high-risk and low-risk groups. Next, single-cell RNA sequencing analysis was further performed to verify the expression of these genes in NRG signature. At last, one gene selected from the NRG signature were validated by in vitro experiments. Results Seven genes (TOP2A, F2R, UST, HSPA1B, LGALS3BP, UROS, and OSBPL11) were identified to construct the NRG signature, which was able to successfully classify glioma patients into high-risk and low-risk groups. A nomogram based on the NRG signature and other prognostic factors were developed to accurately predict the prognosis of glioma. Significant differences in prognosis, mutational landscape, immune cell infiltration were found between distinct groups. Moreover, in vitro experiments illustrated that knockdown of HSPA1B could inhibit the proliferation, migration, and invasion of glioma cells and also inhibit the polarization of M2 macrophages. Conclusion These findings provide new insights into understanding the relationship between NRGs and glioma development and identify novel biomarkers may help to guiding precise treatments to glioma.

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Identification of core genes as potential biomarkers for predicting progression and prognosis in glioblastoma

Cited by 4 publications

References 45 publications

Immunological role and prognostic value of the SKA family in pan-cancer analysis

Immunological role and prognostic value of the SKA family in pan-cancer analysis

NDC80/HEC1 promotes macrophage polarization and predicts glioma prognosis via single‐cell RNA‐seq and in vitro experiment

Neddylation-related gene signature predicts the prognosis and is associated with immune infiltration of glioma

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