Overexpression of NEK2 is correlated with poor prognosis in human clear cell renal cell carcinoma

Objectives: Never in mitosis gene A-related kinase 2 (NEK2) has been implicated in tumorigenesis in various tissues, but its function in clear cell renal cell carcinoma (ccRCC) tumorigenesis is unclear. We evaluated the correlation between NEK2 expression and ccRCC. Methods: Immunohistochemistry analysis of NEK2 protein was done on high-density multi-organ Human Cancer tissue microarray derived from the patient samples from clear cell renal cell carcinoma. We used multiple clinical cohorts to analyze the NEK2 immunohistochemical staining expression across human cancers. The cancer genome atlas (TCGA) data analysis of NEK2 was done through UALCAN web servers. Association of NEK2 and Kaplan–Meier survival analysis was done on both of our clinical database and available TCGA datasets. Results: Using the UALCAN cancer transcriptional data analysis website, we found that NEK2 is overexpressed in ccRCC, and its expression was associated with overall survival. According to the analyses of our own clinical database and immunohistochemical staining, protein levels of NEK2 were elevated in renal carcinoma compared to adjacent normal tissues. Kaplan–Meier survival analysis of both UALCAN and our database showed that high expression of NEK2 was associated with a poor prognosis. Multivariate and univariate analyses showed that NEK2 expression was closely related to a poor prognosis. The findings suggest that NEK2 is associated with ccRCC. Conclusion: These studies show that NEK2 is over-expressed in clear cell renal cell carcinoma and plays an essential role in cancer cell survival, as such NEK2 could serve as a novel potential target for therapeutic intervention in ccRCC.

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Up Regulation of GSDMB Is Correlated With Poor Prognosis and Immune Infiltrates in Clear Cell Renal Cell Carcinoma

10.21203/rs.3.rs-960304/v1 ◽

2021 ◽

Author(s):

Yuanshan Cui ◽

Zhongbao Zhou ◽

Yumeng Chai ◽

Yong Zhang

Keyword(s):

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Mrna Expression ◽

Roc Curve ◽

Renal Cell ◽

Poor Prognosis ◽

Clear Cell ◽

Cell Renal Cell Carcinoma ◽

Normal Tissues ◽

Kaplan Meier

Abstract Background: Gasdermin B (GSDMB) is part of the gasdermin (GSDM) family and they use varying means of domain interactions in molecules to adjust their pore-forming and lipid-binding actions. The GSDM family has roles in the regulation of cell differentiation and proliferation, particularly in the process of pyroptosis. Nonetheless, the correlation of GSDMB with immune infiltrates and its prognostic values in Clear Cell Renal Cell Carcinoma (ccRCC) are still undefined. Therefore, we assessed the correlation of GSDMB with immune infiltrates and its prognostic role in ccRCC. Methods: The transcriptional expression profiles of GSDMB in ccRCC tissues in addition to normal tissues were retrieved from the Cancer Genome Atlas (TCGA), and additionally verified in a different independent cohort, which was obtained from the gene expression omnibus (GEO) database. The Human Protein Atlas and the Clinical Proteomic Tumor Analysis Consortium (CPTAC) were accessed to assess the protein expression of GSDMB. To differentiate between ccRCC and surrounding normal tissues, the receiver operating characteristic (ROC) curve was applied. Relationships between GSDMB expression, clinicopathologicical variables, and overall survival (OS) were evaluated with multivariate methods as well as Kaplan-Meier survival curves. Protein-protein interaction (PPI) networks were created with String. Functional enrichment analyses were conducted by utilizing the “ClusterProfiler” package. The tumor immune estimation resource (TIMER) and tumor-immune system interaction database (TISIDB) were utilized to determine the association between the mRNA expression of GSDMB and immune infiltrates. Results: GSDMB expression was significantly more up regulated in ccRCC tissues compared to surrounding normal tissues. An increase in the mRNA expression of GSDMB was related to high pathologic stage and advanced TNM stage. The analysis of the ROC curve indicated that GSDMB had an AUC value of 0.820 to distinguish between ccRCC tissues and adjacent normal controls. Kaplan-Meier survival analysis indicated that ccRCC patients with high-GSDMB had a poorer prognosis compared to those with low-GSDMB (P < 0.001). Correlation analysis showed that the mRNA expression of GSDMB was associated with immune infiltrates and the purity of the tumor. Upregulation of GSDMB is significantly related to immune infiltrates and poor survival in ccRCC. Conclusions: The results of this study indicates that GSDMB could be regarded as a biomarker for the detection of poor prognosis and potential target of immune treatment in ccRCC.

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Upregulated GSDMB in Clear Cell Renal Cell Carcinoma Is Associated with Immune Infiltrates and Poor Prognosis

Journal of Immunology Research ◽

10.1155/2021/7753553 ◽

2021 ◽

Vol 2021 ◽

pp. 1-22

Author(s):

Yuanshan Cui ◽

Zhongbao Zhou ◽

Yumeng Chai ◽

Yong Zhang

Keyword(s):

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Mrna Expression ◽

Roc Curve ◽

Renal Cell ◽

Poor Prognosis ◽

Clear Cell ◽

Cell Renal Cell Carcinoma ◽

Normal Tissues ◽

Kaplan Meier

Gasdermin B (GSDMB) is part of the gasdermin (GSDM) family, and they use varying means of domain interactions in molecules to adjust their pore-forming and lipid-binding actions. The GSDM family has roles in the regulation of cell differentiation and proliferation, particularly in the process of pyroptosis. Nonetheless, the correlation of GSDMB with immune infiltrates and its prognostic values in clear cell renal cell carcinoma (ccRCC) are still undefined. Therefore, we assessed the correlation of GSDMB with immune infiltrates and its prognostic role in ccRCC. The transcriptional expression profiles of GSDMB in ccRCC tissues in addition to normal tissues were retrieved from The Cancer Genome Atlas (TCGA) and additionally verified in a different independent cohort, which was obtained from the Gene Expression Omnibus (GEO) database. The Human Protein Atlas and the Clinical Proteomic Tumor Analysis Consortium (CPTAC) were used to assess the protein expression of GSDMB. To assess the effectiveness of GSDMB in distinguishing ccRCC from normal samples, the receiver operating characteristic (ROC) curve analysis was performed. Relationships between GSDMB expression, clinicopathological variables, and overall survival (OS) were evaluated with multivariate methods as well as Kaplan-Meier survival curves. Protein-protein interaction (PPI) networks were created with STRING. Functional enrichment analyses were conducted by utilizing the “ClusterProfiler” package. The Tumor Immune Estimation Resource (TIMER) and tumor-immune system interaction database (TISIDB) were utilized to determine the association between the mRNA expression of GSDMB and immune infiltrates. GSDMB expression was significantly more upregulated in ccRCC tissues compared to surrounding normal tissues. An increase in the mRNA expression of GSDMB was related to the high pathologic stage and advanced TNM stage. The analysis of the ROC curve indicated that GSDMB had an AUC value of 0.820 to distinguish between ccRCC tissues and adjacent normal controls. Kaplan-Meier survival analysis indicated that ccRCC patients with high GSDMB had a poorer prognosis compared to those with low GSDMB ( P < 0.001 ). Correlation analysis showed that the mRNA expression of GSDMB was associated with immune infiltrates and the purity of the tumor. Upregulation of GSDMB is significantly related to immune infiltrates and poor survival in ccRCC. The results of this study indicate that GSDMB could be regarded as a biomarker for the detection of poor prognosis and potential target of immune treatment in ccRCC.

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High expression of P53-induced Ring-h2 protein is associated with poor prognosis in clear cell renal cell carcinoma

European Journal of Surgical Oncology ◽

10.1016/j.ejso.2012.10.004 ◽

2013 ◽

Vol 39 (1) ◽

pp. 100-106 ◽

Cited By ~ 5

Author(s):

X.R. Wu ◽

J.J. Sha ◽

D.M. Liu ◽

Y.H. Chen ◽

G.L. Yang ◽

...

Keyword(s):

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Renal Cell ◽

Poor Prognosis ◽

Clear Cell ◽

High Expression ◽

Cell Renal Cell Carcinoma

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NOVEL PLASMA GLYCOPROTEIN BIOMARKERS PREDICT PROGRESSION-FREE SURVIVAL IN SURGICALLY RESECTED CLEAR CELL RENAL CELL CARCINOMA

10.1101/2022.01.11.21268517 ◽

2022 ◽

Author(s):

Daniel Serie ◽

Amanda A Myers ◽

Daniela A Haehn ◽

Alexander Parker ◽

Essa Bajalia ◽

...

Keyword(s):

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Differential Expression ◽

Renal Cell ◽

Clear Cell ◽

Progression Free Survival ◽

P Value ◽

Cell Renal Cell Carcinoma ◽

Free Survival ◽

Kaplan Meier

Introduction: Limited data exists on utilization of protein post-translational modifications as biomarkers for clear cell renal cell carcinoma (ccRCC). We employed high-throughput glycoproteomics to evaluate differential expression of glycoprotein-isoforms as novel markers for ccRCC progression-free survival (PFS). Methods: Plasma samples were obtained from 77 patients treated surgically for ccRCC. Glycoproteomic analyses were carried out after liquid chromatography tandem mass spectrometry. Age-adjusted Cox proportional hazard models were constructed to evaluate PFS. Optimized Harrells c-index was employed to dichotomize the collective for the construction of Kaplan-Meier curves. Results: The average length of follow-up was 3.4 (range: 0.04-9.83) years. Glycoproteomic analysis identified 39 glycopeptides and 14 non-glycosylated peptides that showed statistically significant (false discovery rate p ≤0.05) differential expression associated with PFS. Five of the glycosylated peptides conferred continuous hazard ratio of > 6 (range 6.3-11.6). These included prothrombin A2G2S glycan motif (HR=6.47, P=9.53E-05), immunoglobulin J chain FA2G2S2 motif (HR=10.69, P=0.001), clusterin A2G2 motif (HR=7.38, P=0.002), complement component C8A A2G2S2 motif (HR=11.59, P=0.002), and apolipoprotein M glycopeptide with non-fucosylated and non-sialylated hybrid-type glycan (HR=6.30, P=0.003). Kaplan-Meier curves based on dichotomous expression of these five glycopeptides resulted in hazard ratios of 3.9-10.7, all with p-value < 0.03. Kaplan-Meyer plot using the multivariable model comprising 3 of the markers yielded HR of 11.96 (p <0.0001). Conclusion: Differential glyco-isoform abundance of plasma proteins may be a useful source of biomarkers for the clinical course and prognosis of ccRCC.

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