scholarly journals PTPN2 Expression in Cystadenocarcinoma Ovary and It’s Clinical Value Based on TCGA Database

2021 ◽  
Author(s):  
Qian Li ◽  
Yannan Chen ◽  
Li Yang ◽  
Yaguang Fan ◽  
Feiyan Li ◽  
...  
Keyword(s):  
Tumor Grade ◽  
Janus Kinase ◽  
The Cancer Genome Atlas ◽  
Clinical Value ◽  
Poor Overall Survival ◽  
Kaplan Meier ◽  
Cancer Genome Atlas ◽  
Signal Converter ◽  
Mesenchymal Transformation ◽  
The Relationship

Abstract Ovarian serous cystadenocarcinoma (OV) is a malignant tumor that often has a poor prognosis because of its late detection. The expression of PTPN2 is associated with a variety of tumors, but its effect on OV is not well understood. Therefore, we analyzed the relationship between PTPN2 and the prognosis of OV. Analysis of patients with OV using The Cancer Genome Atlas revealed an association between PTPN2 expression and the prognosis of OV. We established a model of the relationship between these factors by logistic regression, which showed a significant correlation between the tumor grade and decreased expression of PTPN2. Kaplan-Meier survival analysis showed that low PTPN2 expression was associated with poor overall survival. Further analysis of the expression of immune cells in OV using the ssGSEA package revealed a significant correlation between the expression level of PTPN2 in OV and the numbers of mast, gamma delta, helper, and central memory T cells. We also found differences between the phenotypic pathways associated with low PTPN2 expression and pathways of genes and proteins that determine epithelial-mesenchymal transformation. Finally, a network diagram of protein molecular interactions was drawn using the STRING database, which showed that PTPN2 was closely related to the signal converter and transcriptional activator family and Janus kinase family. Thus, PTPN2 shows potential for use as a prognostic biomarker in OV and is associated with immune infiltration.

scholarly journals PTPN2 Expression in Cystadenocarcinoma Ovary and It’s Clinical Value Based on TCGA Database

2021 ◽  
Author(s):  
Yaguang Fan ◽  
Yingrui Zhu
Keyword(s):  
Tumor Grade ◽  
Janus Kinase ◽  
The Cancer Genome Atlas ◽  
Clinical Value ◽  
Poor Overall Survival ◽  
Kaplan Meier ◽  
Cancer Genome Atlas ◽  
Signal Converter ◽  
Mesenchymal Transformation ◽  
The Relationship

Abstract Ovarian serous cystadenocarcinoma (OV) is a malignant tumor that often has a poor prognosis because of its late detection. The expression of PTPN2 is associated with a variety of tumors, but its effect on OV is not well understood. Therefore, we analyzed the relationship between PTPN2 and the prognosis of OV. Analysis of patients with OV using The Cancer Genome Atlas revealed an association between PTPN2 expression and the prognosis of OV. We established a model of the relationship between these factors by logistic regression, which showed a significant correlation between the tumor grade and decreased expression of PTPN2. Kaplan-Meier survival analysis showed that low PTPN2 expression was associated with poor overall survival. Further analysis of the expression of immune cells in OV using the ssGSEA package revealed a significant correlation between the expression level of PTPN2 in OV and the numbers of mast, gamma delta, helper, and central memory T cells. We also found differences between the phenotypic pathways associated with low PTPN2 expression and pathways of genes and proteins that determine epithelial-mesenchymal transformation. Finally, a network diagram of protein molecular interactions was drawn using the STRING database, which showed that PTPN2 was closely related to the signal converter and transcriptional activator family and Janus kinase family. Thus, PTPN2 shows potential for use as a prognostic biomarker in OV and is associated with immune infiltration.

scholarly journals Comprehensive Analysis of Aldehyde Dehydrogenases (ALDHs) and Its Significant Role in Hepatocellular Carcinoma

2021 ◽  
Author(s):  
Senbang Yao ◽  
Wenjun Chen ◽  
He Zuo ◽  
Ziran Bi ◽  
Xiuqing Zhang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Cancer ◽  
Oxidative Dna Damage ◽  
Tumor Grade ◽  
The Cancer Genome Atlas ◽  
Kaplan Meier ◽  
Human Protein Atlas ◽  
Cancer Genome Atlas ◽  
The Relationship ◽  
Kaplan Meier Plotter

AbstractOxidative DNA damage is closely related to the occurrence and progression of cancer. Oxidative stress plays an important role in alcohol-induced hepatocellular carcinoma (HCC). Aldehyde dehydrogenase (ALDH) is a family of enzymes that plays an essential role in the reducing oxidative damage. However, how ALDHs family affects alcohol-related HCC remains obscure. We aimed to explore the correlation between the differential expression of ALDHs in patients with HCC and pathological features, as well as the relationship between ALDHs and prognosis, and finally analyze the possible mechanism of ALDHs in targeted therapy of HCC. The data of HCC were downloaded from The Cancer Genome Atlas (TCGA) database. This research explored the expression and prognostic values of ALDHs in HCC using Oncomine, UALCAN, Human Protein Atlas, cBioPortal, Kaplan–Meier plotter, GeneMANIA, Tumor Immune Estimation Resource, GEPIA databases, and WebGestalt. Low mRNA and protein expressions of ALDHs were found to be significantly associated with tumor grade and clinical cancer stages in HCC patients. In particular, the loss of ALDH expression is more obvious in Asians, and its effect on prognosis is far more significant than that in the White race. Our findings play an important role in the study of prognostic markers and anti-liver cancer therapeutic targets for the members of the ALDHs family, especially in patients with liver cancer in Asia.

scholarly journals CYSTM1: A Novel Biomarker for Hepatocellular Carcinoma Prognosis

2021 ◽  
Author(s):  
Jun Du ◽  
Jinguo Wang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Poor Prognosis ◽  
Early Stage ◽  
Human Tumor ◽  
The Cancer Genome Atlas ◽  
Data Set ◽  
Kaplan Meier ◽  
Cancer Genome Atlas ◽  
Cox Proportional Hazard Regression ◽  
The Relationship

Abstract Background: The expression and molecular mechanism of cysteine rich transmembrane module containing 1 (CYSTM1) in human tumor cells remains unclear. The aim of this study was to determine whether CYSTM1 could be used as a potential prognostic biomarker for hepatocellular carcinoma (HCC).Methods: We first demonstrated the relationship between CYSTM1 expression and HCC in various public databases. Secondly, Kaplan–Meier analysis and Cox proportional hazard regression model were performed to evaluate the relationship between the expression of CYSTM1 and the survival of HCC patients which data was downloaded in the cancer genome atlas (TCGA) database. Finally, we used the expression data of CYSTM1 in TCGA database to predict CYSTM1-related signaling pathways through bioinformatics analysis.Results: The expression level of CYSTM1 in HCC tissues was significantly correlated with T stage (p = 0.039). In addition, Kaplan–Meier analysis showed that the expression of CYSTM1 was significantly associated with poor prognosis in patients with early-stage HCC (p = 0.003). Multivariate analysis indicated that CYSTM1 is a potential predictor of poor prognosis in HCC patients (p = 0.036). The results of biosynthesis analysis demonstrated that the data set of CYSTM1 high expression was mainly enriched in neurodegeneration and oxidative phosphorylation pathways.Conclusion: CYSTM1 is an effective biomarker for the prognosis of patients with early-stage HCC and may play a key role in the occurrence and progression of HCC.

scholarly journals CPXM1: a novel biomarker for gastric cancer prognosis

2021 ◽  
Author(s):  
Jun Du ◽  
Mengxiang Zhu ◽  
Wenwu Yan ◽  
Changsheng Yao ◽  
Qingyi Li ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Poor Prognosis ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Signal Pathways ◽  
Data Set ◽  
Kaplan Meier ◽  
Cancer Genome Atlas ◽  
Cox Proportional Hazard Regression ◽  
The Relationship

Abstract Background The molecular role of carboxypeptidase X, M14 family member (CPXM1) in oncogenesis or tumor progression remains unclear. The aim of this study was to determine whether CPXM1 can be used as a potential prognostic biomarker for gastric cancer (GC). Methods We first demonstrated the relationship between CPXM1 expression and GC in various public databases. Secondly, the expression of CPXM1 in GC tissues was further verified by immunohistochemical staining using tissue microarray containing 96 cases of GC patients. Kaplan–Meier analysis and a Cox proportional hazard regression model were performed to evaluate the relationship between the expression of CPXM1 and the survival of GC patients. Finally, we used the expression data of CPXM1 in The Cancer Genome Atlas database to predict CPXM1-related signaling pathways through bioinformatics analysis. Results The expression level of CPXM1 in GC tissues was significantly correlated with tumor size (p = 0.041) and lymph node metastasis (p = 0.014). In addition, Kaplan–Meier analysis showed that the expression of CPXM1 in GC tissues was significantly associated with poor prognosis (p = 0.011). Multivariate analysis indicated that CPXM1 is a potential predictor of poor prognosis in GC patients (p = 0.026). The results of biosynthesis analysis demonstrated that the data set of CPXM1 high expression was mainly enriched in cancer-related signal pathways. Conclusion CPXM1 is an effective biomarker for the prognosis of GC patients and may play a key role in the occurrence and progression of GC.

scholarly journals ATG101 as a Novel Prognostic Biomarker Related to Immunotherapy in Pan-cancer

2021 ◽  
Author(s):  
Zijian Zhang ◽  
Jinggang Mo ◽  
Chong Jin ◽  
Hao Jiang ◽  
Zhongtao Liu ◽  
...  
Keyword(s):  
Critical Role ◽  
Tissue Expression ◽  
The Cancer Genome Atlas ◽  
Immune Checkpoints ◽  
Integrated Analysis ◽  
Tumour Immunity ◽  
Kaplan Meier ◽  
Cancer Genome Atlas ◽  
The Relationship ◽  
Pan Cancer

Abstract Background: ATG101 plays a significant role in the occurrence and development of tumours by regulating autophagy. Our study aimed to research the correlation between the expression of ATG101 and tumour prognosis and its role in tumour immunity. Methods: First, integrated analysis of The Cancer Genome Atlas and Genotype-Tissue Expression portals were used to analyse the expression of ATG101. Then, we used Kaplan–Meier curves for survival analysis. Next, we analysed the relationship between ATG101 expression and six immune cells, the immune microenvironment and immune checkpoints. Besides, we analysed the relationship between the expression of ATG101 and methyltransferase. Finally, we used GSEA to study the function of ATG101 in COAD and LIHC. Results: Integrated analysis showed that ATG101 was overexpressed in different tumours. Kaplan–Meier curves found that ATG101 was associated with poor prognosis in most tumours. We found that that ATG101 can be used as a target and prognostic marker of tumour immunotherapy for different tumours. We also found that ATG101 regulates DNA methylation. GSEA analysis showed that ATG101 may play a critical role in COAD and LIHC.Conclusions: Our study highlights the significance of ATG101 in the study of tumour immunity from a pan-cancer perspective.

scholarly journals KIF4A: A potential biomarker for prediction and prognostic of prostate cancer

2020 ◽  
Vol 43 (3) ◽  
pp. E49-59 ◽  
Author(s):  
Jiahong Chen ◽  
Maozhang Li ◽  
Shumin Fang ◽  
Xiaobo Zhou ◽  
Jinxian Liao ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
The Cancer Genome Atlas ◽  
Normal Prostate ◽  
Kaplan Meier ◽  
Potential Biomarker ◽  
Family Protein ◽  
Protein Expressions ◽  
Cancer Genome Atlas ◽  
Du145 Cells ◽  
The Relationship

Purpose: To investigate the clinical relevance and biological function of the kinesin super-family protein 4A (KIF4A) expression in prostate cancer (PCa). Methods: We examined 1) the relationship between the expression of KIF4A and clinico-pathological characteristics of PCa patients using a tissue microarray and the Cancer Genome Atlas database, 2) the prognostic value of KIF4A expression in patients using Kaplan-Meier plots and 3) the functions of KIF4A in LNCaP and DU145 cells, such as cell proliferation, cell cycle and cell apoptosis. Results: Compared with normal prostate, the mRNA and protein expressions of KIF4A were up-regulated in PCa. The up-regulation expression rates of KIF4A in PCa were significantly related to the Gleason score (P

scholarly journals TRIM27 interacts with Iκbα to promote the growth of human renal cancer cells through regulating the NF-κB pathway

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chengwu Xiao ◽  
Wei Zhang ◽  
Meimian Hua ◽  
Huan Chen ◽  
Bin Yang ◽  
...  
Keyword(s):  
Cell Lines ◽  
Prognostic Indicator ◽  
The Cancer Genome Atlas ◽  
Mrna Levels ◽  
Loss Of Function ◽  
Protein Levels ◽  
Kaplan Meier ◽  
Cancer Genome Atlas

Abstract Background The tripartite motif (TRIM) family proteins exhibit oncogenic roles in various cancers. The roles of TRIM27, a member of the TRIM super family, in renal cell carcinoma (RCC) remained unexplored. In the current study, we aimed to investigate the clinical impact and roles of TRIM27 in the development of RCC. Methods The mRNA levels of TRIM27 and Kaplan–Meier survival of RCC were analyzed from The Cancer Genome Atlas database. Real-time PCR and Western blotting were used to measure the mRNA and protein levels of TRIM27 both in vivo and in vitro. siRNA and TRIM27 were exogenously overexpressed in RCC cell lines to manipulate TRIM27 expression. Results We discovered that TRIM27 was elevated in RCC patients, and the expression of TRIM27 was closely correlated with poor prognosis. The loss of function and gain of function results illustrated that TRIM27 promotes cell proliferation and inhibits apoptosis in RCC cell lines. Furthermore, TRIM27 expression was positively associated with NF-κB expression in patients with RCC. Blocking the activity of NF-κB attenuated the TRIM27-mediated enhancement of proliferation and inhibition of apoptosis. TRIM27 directly interacted with Iκbα, an inhibitor of NF-κB, to promote its ubiquitination, and the inhibitory effects of TRIM27 on Iκbα led to NF-κB activation. Conclusions Our results suggest that TRIM27 exhibits an oncogenic role in RCC by regulating NF-κB signaling. TRIM27 serves as a specific prognostic indicator for RCC, and strategies targeting the suppression of TRIM27 function may shed light on future therapeutic approaches.

scholarly journals RUNX1 and REXO2 are associated with the heterogeneity and prognosis of IDH wild type lower grade glioma

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Haiwei Wang ◽  
Xinrui Wang ◽  
Liangpu Xu ◽  
Ji Zhang ◽  
Hua Cao
Keyword(s):  
Transcription Factor ◽  
Low Frequency ◽  
Tumor Grade ◽  
The Cancer Genome Atlas ◽  
Lower Grade ◽  
Wild Type ◽  
Lower Grade Glioma ◽  
Cancer Genome Atlas ◽  
Worse Prognosis ◽  
Genome Atlas

AbstractBased on isocitrate dehydrogenase (IDH) alterations, lower grade glioma (LGG) is divided into IDH mutant and wild type subgroups. However, the further classification of IDH wild type LGG was unclear. Here, IDH wild type LGG patients in The Cancer Genome Atlas and Chinese Glioma Genome Atlas were divided into two sub-clusters using non-negative matrix factorization. IDH wild type LGG patients in sub-cluster2 had prolonged overall survival and low frequency of CDKN2A alterations and low immune infiltrations. Differentially expressed genes in sub-cluster1 were positively correlated with RUNX1 transcription factor. Moreover, IDH wild type LGG patients with higher stromal score or immune score were positively correlated with RUNX1 transcription factor. RUNX1 and its target gene REXO2 were up-regulated in sub-cluster1 and associated with the worse prognosis of IDH wild type LGG. RUNX1 and REXO2 were associated with the higher immune infiltrations. Furthermore, RUNX1 and REXO2 were correlated with the worse prognosis of LGG or glioma. IDH wild type LGG in sub-cluster2 was hyper-methylated. REXO2 hyper-methylation was associated with the favorable prognosis of LGG or glioma. At last, we showed that, age, tumor grade and REXO2 expression were independent prognostic factors in IDH wild type LGG.

scholarly journals Overexpressed P75CUX1 promotes EMT in glioma infiltration by activating β-catenin

2021 ◽  
Vol 12 (2) ◽  
Author(s):  
Anqi Xu ◽  
Xizhao Wang ◽  
Jie Luo ◽  
Mingfeng Zhou ◽  
Renhui Yi ◽  
...  
Keyword(s):  
Epithelial Mesenchymal Transition ◽  
Tumor Grade ◽  
Prognostic Indicator ◽  
Migration And Invasion ◽  
Poor Overall Survival ◽  
Mesenchymal Transition ◽  
Kaplan Meier ◽  
Homeobox Protein

AbstractThe homeobox protein cut-like 1 (CUX1) comprises three isoforms and has been shown to be involved in the development of various types of malignancies. However, the expression and role of the CUX1 isoforms in glioma remain unclear. Herein, we first identified that P75CUX1 isoform exhibited consistent expression among three isoforms in glioma with specifically designed antibodies to identify all CUX1 isoforms. Moreover, a significantly higher expression of P75CUX1 was found in glioma compared with non-tumor brain (NB) tissues, analyzed with western blot and immunohistochemistry, and the expression level of P75CUX1 was positively associated with tumor grade. In addition, Kaplan–Meier survival analysis indicated that P75CUX1 could serve as an independent prognostic indicator to identify glioma patients with poor overall survival. Furthermore, CUX1 knockdown suppressed migration and invasion of glioma cells both in vitro and in vivo. Mechanistically, this study found that P75CUX1 regulated epithelial–mesenchymal transition (EMT) process mediated via β-catenin, and CUX1/β-catenin/EMT is a novel signaling cascade mediating the infiltration of glioma. Besides, CUX1 was verified to promote the progression of glioma via multiple other signaling pathways, such as Hippo and PI3K/AKT. In conclusion, we suggested that P75CUX1 could serve as a potential prognostic indicator as well as a novel treatment target in malignant glioma.

scholarly journals Radiosensitivity index emerges as a potential biomarker for combined radiotherapy and immunotherapy

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Yang-Hong Dai ◽  
Ying-Fu Wang ◽  
Po-Chien Shen ◽  
Cheng-Hsiang Lo ◽  
Jen-Fu Yang ◽  
...  
Keyword(s):  
Dna Repair ◽  
Interferon Γ ◽  
The Cancer Genome Atlas ◽  
Differential Analysis ◽  
Macrophage Polarisation ◽  
Molecular Features ◽  
Kaplan Meier ◽  
M1 Macrophage ◽  
Potential Biomarker ◽  
Cancer Genome Atlas

AbstractIn the era of immunotherapy, there lacks of a reliable genomic predictor to identify optimal patient populations in combined radiotherapy and immunotherapy (CRI). The purpose of this study is to investigate whether genomic scores defining radiosensitivity are associated with immune response. Genomic data from Merged Microarray-Acquired dataset (MMD) were established and the Cancer Genome Atlas (TCGA) were obtained. Based on rank-based regression model including 10 genes, radiosensitivity index (RSI) was calculated. A total of 12832 primary tumours across 11 major cancer types were analysed for the association with DNA repair, cellular stemness, macrophage polarisation, and immune subtypes. Additional 585 metastatic tissues were extracted from MET500. RSI was stratified into RSI-Low and RSI-High by a cutpoint of 0.46. Proteomic differential analysis was used to identify significant proteins according to RSI categories. Gene Set Variance Analysis (GSVA) was applied to measure the genomic pathway activity (18 genes for T-cell inflamed activity). Kaplan-Meier analysis was performed for survival analysis. RSI was significantly associated with homologous DNA repair, cancer stemness and immune-related molecular features. Lower RSI was associated with higher fraction of M1 macrophage. Differential proteomic analysis identified significantly higher TAP2 expression in RSI-Low colorectal tumours. In the TCGA cohort, dominant interferon-γ (IFN-γ) response was characterised by low RSI and predicted better response to programmed cell death 1 (PD-1) blockade. In conclusion, in addition to radiation response, our study identified RSI to be associated with various immune-related features and predicted response to PD-1 blockade, thus, highlighting its potential as a candidate biomarker for CRI.

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