scholarly journals Increased E2F2 predicts poor prognosis in patients with HCC based on TCGA data

2020 ◽  
Author(s):  
Zhili Zeng ◽  
Zebiao Cao ◽  
Ying Tang
Keyword(s):  
Dna Replication ◽  
Signaling Pathway ◽  
Excision Repair ◽  
Tca Cycle ◽  
Hazard Ratio ◽  
Gene Set Enrichment Analysis ◽  
Pyrimidine Metabolism ◽  
Citrate Cycle ◽  
P53 Signaling ◽  
P53 Signaling Pathway

Abstract Background: The E2F family of transcription factor 2 (E2F2) plays an important role in the development and progression of various tumors, but its association with hepatocellular carcinoma (HCC) remains unknown. Our study aimed to investigate the role and clinical significance of E2F2 in HCC.Methods: HCC raw data were extracted from The Cancer Genome Atlas (TCGA). Wilcoxon signed-rank test, Kruskal-Wallis test and logistic regression were applied to analyze the relationship between the expression of E2F2 and clinicopathologic characteristics. Cox regression and Kaplan-Meier were employed to evaluate the correlation between clinicopathologic features and survival. The biological function of E2F2 was annotated by Gene Set Enrichment Analysis (GSEA).Results: The expression of E2F2 was increased in HCC samples. The expression of elevated E2F2 in HCC samples was prominently correlated with histologic grade (OR =2.62 for G3-4 vs. G1-2, p=1.80E-05), clinical stage (OR =1.74 for III-IV vs. I-II, p=0.03), T (OR =1.64 for T3-4 vs.T1-2, p=0.04), tumor status (OR =1.88 for with tumor vs. tumor free, p= 3.79E-03), plasma alpha fetoprotein (AFP) value (OR =3.18 for AFP≥400 vs AFP＜20, p= 2.16E-04; OR=2.50 for 20≤AFP＜400 vs AFP＜20, p=2.56E-03). Increased E2F2 had an unfavorable OS (p=7.468e−05), PFI (p=3.183e−05), DFI (p=0.001), DSS (p=4.172e−05). Elevated E2F2 was independently bound up with OS (p =0.004, hazard ratio [HR]= 2.4 (95% CI [1.3-4.2])), DFI (P =0.029, hazard ratio [HR] = 2.0 (95% CI [1.1-3.7])) and PFI (P =0.005, hazard ratio [HR] = 2.2 (95% CI [1.3-3.9])). GSEA disclosed that cell circle, RNA degradation, pyrimidine metabolism, base excision repair, aminoacyl tRNA biosynthesis, DNA replication, p53 signaling pathway, nucleotide excision repair, ubiquitin-mediated proteolysis, citrate cycle TCA cycle were notably enriched in E2F2 high expression phenotype.Conclusions: Elevated E2F2 can be a promising independent prognostic biomarker and therapeutic target for HCC. Additionally, cell cycle, pyrimidine metabolism, DNA replication, p53 signaling pathway, ubiquitin-mediated proteolysis, the citrate cycle TCA cycle may be the key pathway by which E2F2 participates in the initial and progression of HCC.

scholarly journals Increased E2F2 predicts poor prognosis in patients with HCC based on TCGA data

2020 ◽  
Author(s):  
Zhili Zeng ◽  
Zebiao Cao ◽  
Ying Tang
Keyword(s):  
Dna Replication ◽  
Signaling Pathway ◽  
Excision Repair ◽  
Tca Cycle ◽  
Hazard Ratio ◽  
Gene Set Enrichment Analysis ◽  
Pyrimidine Metabolism ◽  
Citrate Cycle ◽  
P53 Signaling ◽  
P53 Signaling Pathway

Abstract Background: The E2F family of transcription factor 2 (E2F2) plays an important role in the development and progression of various tumors, but its association with hepatocellular carcinoma (HCC) remains unknown. Our study aimed to investigate the role and clinical significance of E2F2 in HCC.Methods: HCC raw data were extracted from The Cancer Genome Atlas (TCGA). Wilcoxon signed-rank test, Kruskal-Wallis test and logistic regression were applied to analyze the relationship between the expression of E2F2 and clinicopathologic characteristics. Cox regression and Kaplan-Meier were employed to evaluate the correlation between clinicopathologic features and survival. The biological function of E2F2 was annotated by Gene Set Enrichment Analysis (GSEA).Results: The expression of E2F2 was increased in HCC samples. The expression of elevated E2F2 in HCC samples was prominently correlated with histologic grade (OR =2.62 for G3-4 vs. G1-2, p=1.80E-05), clinical stage (OR =1.74 for III-IV vs. I-II, p=0.03), T (OR =1.64 for T3-4 vs.T1-2, p=0.04), tumor status (OR =1.88 for with tumor vs. tumor free, p= 3.79E-03), plasma alpha fetoprotein (AFP) value (OR =3.18 for AFP≥400 vs AFP＜20, p= 2.16E-04; OR=2.50 for 20≤AFP＜400 vs AFP＜20, p=2.56E-03). Increased E2F2 had an unfavorable OS (p=7.468e−05), PFI (p=3.183e−05), DFI (p=0.001), DSS (p=4.172e−05). Elevated E2F2 was independently bound up with OS (p =0.004, hazard ratio [HR]= 2.4 (95% CI [1.3-4.2])), DFI (P =0.029, hazard ratio [HR] = 2.0 (95% CI [1.1-3.7])) and PFI (P =0.005, hazard ratio [HR] = 2.2 (95% CI [1.3-3.9])). GSEA disclosed that cell circle, RNA degradation, pyrimidine metabolism, base excision repair, aminoacyl tRNA biosynthesis, DNA replication, p53 signaling pathway, nucleotide excision repair, ubiquitin-mediated proteolysis, citrate cycle TCA cycle were notably enriched in E2F2 high expression phenotype.Conclusions: Elevated E2F2 can be a promising independent prognostic biomarker and therapeutic target for HCC. Additionally, cell cycle, pyrimidine metabolism, DNA replication, p53 signaling pathway, ubiquitin-mediated proteolysis, the citrate cycle TCA cycle may be the key pathway by which E2F2 participates in the initial and progression of HCC.

scholarly journals Increased E2F2 predicts poor prognosis in patients with HCC based on TCGA data

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Zhili Zeng ◽  
Zebiao Cao ◽  
Ying Tang
Keyword(s):  
Dna Replication ◽  
Signaling Pathway ◽  
Excision Repair ◽  
Tca Cycle ◽  
Hazard Ratio ◽  
Gene Set Enrichment Analysis ◽  
Pyrimidine Metabolism ◽  
Citrate Cycle ◽  
P53 Signaling ◽  
P53 Signaling Pathway

Abstract Background The E2F family of transcription factor 2 (E2F2) plays an important role in the development and progression of various tumors, but its association with hepatocellular carcinoma (HCC) remains unknown. Our study aimed to investigate the role and clinical significance of E2F2 in HCC. Methods HCC raw data were extracted from The Cancer Genome Atlas (TCGA). Wilcoxon signed-rank test, Kruskal-Wallis test and logistic regression were applied to analyze the relationship between the expression of E2F2 and clinicopathologic characteristics. Cox regression and Kaplan-Meier were employed to evaluate the correlation between clinicopathologic features and survival. The biological function of E2F2 was annotated by Gene Set Enrichment Analysis (GSEA). Results The expression of E2F2 was increased in HCC samples. The expression of elevated E2F2 in HCC samples was prominently correlated with histologic grade (OR = 2.62 for G3–4 vs. G1–2, p = 1.80E-05), clinical stage (OR = 1.74 for III-IV vs. I-II, p = 0.03), T (OR = 1.64 for T3–4 vs.T1–2, p = 0.04), tumor status (OR = 1.88 for with tumor vs. tumor free, p = 3.79E-03), plasma alpha fetoprotein (AFP) value (OR = 3.18 for AFP ≥ 400 vs AFP<20, p = 2.16E-04; OR = 2.50 for 20 ≤ AFP<400 vs AFP<20, p = 2.56E-03). Increased E2F2 had an unfavorable OS (p = 7.468e− 05), PFI (p = 3.183e− 05), DFI (p = 0.001), DSS (p = 4.172e− 05). Elevated E2F2 was independently bound up with OS (p = 0.004, hazard ratio [HR] = 2.4 (95% CI [1.3–4.2])), DFI (P = 0.029, hazard ratio [HR] = 2.0 (95% CI [1.1–3.7])) and PFI (P = 0.005, hazard ratio [HR] = 2.2 (95% CI [1.3–3.9])). GSEA disclosed that cell circle, RNA degradation, pyrimidine metabolism, base excision repair, aminoacyl tRNA biosynthesis, DNA replication, p53 signaling pathway, nucleotide excision repair, ubiquitin-mediated proteolysis, citrate cycle TCA cycle were notably enriched in E2F2 high expression phenotype. Conclusions Elevated E2F2 can be a promising independent prognostic biomarker and therapeutic target for HCC. Additionally, cell cycle, pyrimidine metabolism, DNA replication, p53 signaling pathway, ubiquitin-mediated proteolysis, the citrate cycle TCA cycle may be the key pathway by which E2F2 participates in the initial and progression of HCC.

scholarly journals Increased E2F2 predicts poor prognosis in patients with HCC based on TCGA data

2020 ◽  
Author(s):  
Zhili Zeng ◽  
Zebiao Cao ◽  
Ying Tang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Dna Replication ◽  
Signaling Pathway ◽  
Excision Repair ◽  
Tca Cycle ◽  
Hazard Ratio ◽  
Pyrimidine Metabolism ◽  
Citrate Cycle ◽  
P53 Signaling ◽  
P53 Signaling Pathway

Abstract Background: The E2F family of transcription factor 2 (E2F2) plays an important role in the development and progression of various tumors, but its association with hepatocellular carcinoma remains unknown. The aim of our study was to investigate the role and clinical significance of E2F2 in hepatocellular carcinoma (HCC).Methods: HCC raw data were extracted from The Cancer Genome Atlas (TCGA). Wilcoxon signed-rank test, Kruskal-Wallis test and logistic regression was applied to analyze the relationship between the expression of E2F2 and clinicopathologic characteristics. Cox regression and Kaplan-Meier was employed to evaluate the correlation between clinicopathologic features and survival. The biological function of E2F2 was annotated by Gene set enrichment analysis (GSEA).Results: The expression of E2F2 was increased in HCC samples. The expression of elevated E2F2 in HCC samples was prominently correlated with histologic grade (OR =2.62 for G3-4 vs. G1-2, p=1.80E-05), clinical stage (OR =1.74 for III-IV vs. I-II, p=0.03), T (OR =1.64 for T3-4 vs.T1-2, p=0.04), tumor status (OR =1.88 for with tumor vs. tumor free, p= 3.79E-03), plasma alpha fetoprotein (AFP) value (OR =3.18 for AFP≥400 vs AFP＜20, p= 2.16E-04; OR=2.50 for 20≤AFP＜400 vs AFP＜20, p=2.56E-03). Increased E2F2 had an unfavorable OS (p=7.468e−05), PFI (p=3.183e−05), DFI (p=0.001), DSS (p=4.172e−05). Elevated E2F2 was independently bound up with OS (p =0.004 , hazard ratio [HR]= 2.4 (95% CI [1.3-4.2])), DFI (P =0.029, hazard ratio [HR] = 2.0 (95% CI [1.1-3.7])) and PFI (P =0.005, hazard ratio [HR] = 2.2 (95% CI [1.3-3.9])) . GSEA disclosed that cell circle, RNA degradation, pyrimidine metabolism, base excision repair, aminoacyl tRNA biosynthesis, DNA replication, p53 signaling pathway, nucleotide excision repair, ubiquitin mediated proteolysis, citrate cycle TCA cycle were notably enriched in E2F2 high expression phenotype.Conclusions: Elevated E2F2 can be a promising independent prognostic biomarker and therapeutic target for HCC. Additionally, cell cycle, pyrimidine metabolism, DNA replication, p53 signaling pathway, ubiquitin mediated proteolysis, the citrate cycle TCA cycle may be the key pathway by which E2F2 participate in the initial and progression of HCC.

scholarly journals Increased E2F2 predicts poor prognosis in patients with HCC based on TCGA data

2020 ◽  
Author(s):  
Zhili Zeng ◽  
Zebiao Cao ◽  
Ying Tang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Dna Replication ◽  
Cox Regression ◽  
Excision Repair ◽  
Tca Cycle ◽  
Signalling Pathway ◽  
Gene Set Enrichment Analysis ◽  
Rank Test ◽  
Pyrimidine Metabolism ◽  
Citrate Cycle

Abstract Background E2F transcription factor 2(E2F2) plays an important role in the development and progression of various tumors, but its association with hepatocellular carcinoma remains unknown.The aim of our study was to investigate the role and clinical significance of E2F2 in hepatocellular carcinoma (HCC). Methods HCC raw data were extracted from TCGA. Wilcoxon signed-rank test, Kruskal-Wallis test and logistic regression was applied to analyze the the relationship between the expression of E2F2 and clinicalpathologic charateristics. Cox regression and Kaplan-Meier was employed to evaluate the correlation between clinicopathologic features and survial. The biological function of E2F2 was annotated by Gene set enrichment analysis (GSEA). Results The expression of E2F2 was increased in HCC samples. The expression of elevated E2F2 in HCC samples was prominentlly correlated with tumor grade (OR =2.62 for G3-4 vs. G1-2, p=1.80E-05), tumor stage (OR =1.74 for III-IV vs. I-II, p=0.03), topography (OR =1.64 for T3-4 vs.T1-2, p=0.04), tumor status (OR =1.88 for with tumor vs. tumor free, p= 3.79E-03), plasma AFP value (OR =3.18 for AFP≥400 vs AFP<20, p= 2.16E-04; OR=2.50 for 20≤AFP<400 vs AFP<20, p=2.56E-03). Increased E2F2 had a unfavorable OS (p=7.468e−05), PFI (p=3.183e−05), DFI (p=0.001), DSS (p=4.172e−05). Elevated E2F2 was independently bound up with OS (p = 4.4E-04, HR = 2.4 (95% CI [1.5-3.8])) and DSS (p = 7.6E-04, HR = 3.0, (95% CI [1.6-5.6])). GSEA disclosed that cell circle, RNA degradation, pyrimidine metabolism, base excision repair, aminoacyl tRNA biosynthesis, DNA replication, p53 signalling pathway, nucleotide excision repair, ubiquitin mediated proteolysis, citrate cycle TCA cycle were notably enriched in E2F2 high expression phenotype. Conclusions Elevated E2F2 can be a promissing independent prognostic biomarker and therapeutic target for HCC. Additionally, cell cycle, pyrimidine metabolism, DNA replication, p53 signalling pathway, ubiquitin mediated proteolysis, the citrate cycle TCA cycle may be the key pathway by which E2F2 participate in the initial and progression of HCC.

scholarly journals Evaluation of clinical value and potential mechanism of MTFR2 in lung adenocarcinoma via bioinformatics

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Cheng Chen ◽  
Yang Tang ◽  
Wen-Dong Qu ◽  
Xu Han ◽  
Jie-Bin Zuo ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Dna Replication ◽  
Homologous Recombination ◽  
Lung Adenocarcinoma ◽  
Signaling Pathway ◽  
Poor Prognosis ◽  
Neoplasm Staging ◽  
Smoking History ◽  
P53 Signaling ◽  
P53 Signaling Pathway

Abstract Background Mitochondrial fission regulator 2 (MTFR2) was involved in the progression and development of various cancers. However, the relationship between MTFR2 with lung adenocarcinoma (LUAD) had not been reported. Herein, this study analyzed the clinical significance and potential mechanisms of MTFR2 in LUAD via bioinformatics tools. Results We found that the level of MTFR2 was increased, and correlated with sex, age, smoking history, neoplasm staging, histological subtype and TP53 mutation status in LUAD patients. Kaplan-Meier survival analysis showed LUAD patients with increased MTFR2 had a poor prognosis. In addition, univariate COX regression analysis showed neoplasm staging, T stage, distant metastasis and MTFR2 level were risk factors for the prognosis of LUAD. A total of 1127 genes were coexpressed with MTFR2, including 840 positive and 208 negative related genes. KEGG and GSEA found that MTFR2 participated in the progression of LUAD by affecting cell cycle, DNA replication, homologous recombination, p53 signaling pathway and other mechanisms. The top 10 coexpressed genes, namely CDK1, CDC20, CCNB1, PLK1, CCNA2, AURKB, CCNB2, BUB1B, MAD2L1 and BUB1 were highly expressed, and were associated with poor prognosis in LUAD. Conclusions Consequently, we elucidated MTFR2 was a biomarker for diagnosis and poor prognosis in LUAD, and might participate in the progression of LUAD via affecting cell cycle, DNA replication, homologous recombination and p53 signaling pathway.

scholarly journals Evaluation of clinical value and potential mechanism of MTFR2 in lung adenocarcinoma via bioinformatics

2020 ◽  
Author(s):  
Cheng Chen ◽  
Yang Tang ◽  
Wendong Qu ◽  
Xu Han ◽  
Jiebin Zuo ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Dna Replication ◽  
Homologous Recombination ◽  
Lung Adenocarcinoma ◽  
Signaling Pathway ◽  
Poor Prognosis ◽  
Neoplasm Staging ◽  
Smoking History ◽  
P53 Signaling ◽  
P53 Signaling Pathway

Abstract Background Mitochondrial fission regulator 2 (MTFR2) was involved in the progression and development of various cancers. However, the relationship between MTFR2 with lung adenocarcinoma (LUAD) had not been reported. Herein, this study analyzed the clinical significance and potential mechanisms of MTFR2 in LUAD via bioinformatic tools. Results We found that the level of MTFR2 was increased, and correlated with sex, age, smoking history, neoplasm staging, histological subtype and TP53 mutation status in LUAD patients. Kaplan-Meier survival analysis showed LUAD patients with increased MTFR2 had a poor prognosis. In addition, univariate COX regression analysis showed neoplasm staging, T stage, distant metastasis and MTFR2 level were risk factors for the prognosis of LUAD. A total of 1127 genes were coexpressed with MTFR2, including 840 positive and 208 negative related genes. KEGG and GSEA found that MTFR2 participated in the progression of LUAD by affecting cell cycle, DNA replication, homologous recombination, p53 signaling pathway and other mechanisms. The top 10 coexpressed genes, namely CDK1, CDC20, CCNB1, PLK1, CCNA2, AURKB, CCNB2, BUB1B, MAD2L1 and BUB1 were highly expressed, and were associated with poor prognosis in LUAD. Conclusions Consequently, we elucidated MTFR2 was a biomarker for diagnosis and poor prognosis in LUAD, and might participate in the progression of LUAD via affecting cell cycle, DNA replication, homologous recombination and p53 signaling pathway.

scholarly journals Evaluation of Clinical Value and Potential Mechanism of MTFR2 in Lung Adenocarcinoma via Bioinformatics

2021 ◽  
Author(s):  
Cheng Chen ◽  
Yang Tang ◽  
Wendong Qu ◽  
Xu Han ◽  
Jiebin Zuo ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Dna Replication ◽  
Homologous Recombination ◽  
Lung Adenocarcinoma ◽  
Signaling Pathway ◽  
Poor Prognosis ◽  
Neoplasm Staging ◽  
Smoking History ◽  
P53 Signaling ◽  
P53 Signaling Pathway

Abstract Background: Mitochondrial fission regulator 2 (MTFR2) was involved in the progression and development of various cancers. However, the relationship between MTFR2 with lung adenocarcinoma (LUAD) had not been reported. Herein, this study analyzed the clinical significance and potential mechanisms of MTFR2 in LUAD via bioinformatics tools.Results: We found that the level of MTFR2 was increased, and correlated with sex, age, smoking history, neoplasm staging, histological subtype and TP53 mutation status in LUAD patients. Kaplan-Meier survival analysis showed LUAD patients with increased MTFR2 had a poor prognosis. In addition, univariate COX regression analysis showed neoplasm staging, T stage, distant metastasis and MTFR2 level were risk factors for the prognosis of LUAD. A total of 1127 genes were coexpressed with MTFR2, including 840 positive and 208 negative related genes. KEGG and GSEA found that MTFR2 participated in the progression of LUAD by affecting cell cycle, DNA replication, homologous recombination, p53 signaling pathway and other mechanisms. The top 10 coexpressed genes, namely CDK1, CDC20, CCNB1, PLK1, CCNA2, AURKB, CCNB2, BUB1B, MAD2L1 and BUB1 were highly expressed, and were associated with poor prognosis in LUAD. Conclusions: Consequently, we elucidated MTFR2 was a biomarker for diagnosis and poor prognosis in LUAD, and might participate in the progression of LUAD via affecting cell cycle, DNA replication, homologous recombination and p53 signaling pathway.

scholarly journals Identifying the Effect of Ursolic Acid Against Triple-Negative Breast Cancer: Coupling Network Pharmacology With Experiments Verification

2021 ◽  
Vol 12 ◽  
Author(s):  
Yubao Zhang ◽  
Xiaoran Ma ◽  
Huayao Li ◽  
Jing Zhuang ◽  
Fubin Feng ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Signaling Pathway ◽  
Ursolic Acid ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Gene Set Enrichment Analysis ◽  
Dependent Manner ◽  
P53 Signaling ◽  
P53 Signaling Pathway

Triple negative breast cancer (TNBC) is a subtype of breast cancer with complex heterogeneity, high invasiveness, and long-term poor prognosis. With the development of molecular pathology and molecular genetics, the gene map of TNBC with distinctive biological characteristics has been outlined more clearly. Natural plant extracts such as paclitaxel, vinblastine, colchicine etc., have occupied an important position in the treatment of hormone-independent breast cancer. Ursolic acid (UA), a triterpenoid acid compound derived from apple, pear, loquat leaves, etc., has been reported to be effective in a variety of cancer treatments, but there are few reports on the treatment of TNBC. This study performed comprehensive bioinformatics analysis and in vitro experiments to identify the effect of UA on TNBC treatment and its potential molecular mechanism. Our results showed that UA could not only reduce the proliferation, migration, and invasion in MDA-MB-231 and MDA-MB-468 cell lines with a dose-dependent manner but also induce cell cycle arrest and apoptosis. Meanwhile, we collected the gene expression data GSE45827 and GSE65194 from GEO for comparison between TNBC and normal cell type and obtained 724 DEGs. Subsequently, PLK1 and CCNB1 related to TNBC were screened as the key targets via topological analysis and molecular docking, and gene set enrichment analysis identified the key pathway as the p53 signaling pathway. In addition, quantitative real-time PCR and western blot verified the key genes were PLK1 and CCNB1. In vivo and in vitro experiments showed that UA could inhibit the growth of TNBC cells, and down-regulate the protein expression levels of PLK1 and CCNB1 by mediating p53 signaling pathway. These findings provide strong evidence for UA intervention in TNBC via multi-target therapy.

scholarly journals PART1 and hsa-miR-429-Mediated SHCBP1 Expression Is an Independent Predictor of Poor Prognosis in Glioma Patients

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Chengmin Xuan ◽  
Mingwei Jin ◽  
Lei Wang ◽  
Shengbai Xue ◽  
Qi An ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Dna Replication ◽  
Signaling Pathway ◽  
Roc Curve ◽  
Survival Rates ◽  
Diagnostic Value ◽  
Receptor Interaction ◽  
Roc Curve Analysis ◽  
P53 Signaling ◽  
P53 Signaling Pathway

Gliomas are the most common primary brain tumors. Because of their high degree of malignancy, patient survival rates are unsatisfactory. Therefore, exploring glioma biomarkers will play a key role in early diagnosis, guiding treatment, and monitoring the prognosis of gliomas. We found two lncRNAs, six miRNAs, and nine mRNAs that were differentially expressed by analyzing genomic data of glioma patients. The diagnostic value of mRNA expression levels in gliomas was determined by receiver operating characteristic (ROC) curve analysis. Among the nine mRNAs, the area under the ROC curve values of only CEP55 and SHCBP1 were >0.7, specifically 0.834 and 0.816, respectively. Additionally, CEP55 and SHCBP1 were highly expressed in glioma specimens and showed increased expression according to the glioma grade, and outcomes of high expression patients were poor. CEP55 was enriched in the cell cycle, DNA replication, mismatch repair, and P53 signaling pathway. SHCBP1 was enriched in the cell cycle, DNA replication, ECM receptor interaction, and P53 signaling pathway. Age, grade, IDH status, chromosome 19/20 cogain, and SHCBP1 were independent factors for prognosis. Our findings suggest the PART1-hsa-miR-429-SHCBP1 regulatory network plays an important role in gliomas.

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