scholarly journals High Expression of Mediator Complex Subunit 8 Acts as a Prognostic Biomarker in Hepatocellular Carcinoma

2021 ◽  
Author(s):  
Shuang Wu ◽  
Yuan Cao ◽  
Senyuan Luo ◽  
Sancheng Cao ◽  
Qiao Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Overall Survival ◽  
Poor Prognosis ◽  
Univariate Analysis ◽  
Cell Cycle Checkpoints ◽  
Gene Set Enrichment Analysis ◽  
Mediator Complex ◽  
Th2 Cells ◽  
Poor Overall Survival

Abstract Background : Mediator complex subunit 8 ( MED8 ) encodes a subunit of the mediator complex ( MED ), which is critical for transcription. MED8 is highly expressed in some tumours and is associated with a poor prognosis. However, correlations between MED8 and clinical features of hepatocellular carcinoma (HCC) have not been reported. Results: A univariate analysis showed that high MED8 expression predicts poor overall survival (HR: 2.495; 95% confidence interval (CI) 1.740, 3.578; P < 0.001). A multivariate regression analysis showed that high MED8 (HR: 3.032 (1.817, 5.060); P < 0.001) expression and M stage (HR=4.075 (1.179-14.091) for M1 vs. M0, P=0.026) are independent prognostic indicator of poor overall survival in patients with HCC. The areas under the curve (AUC) for receiver operating characteristic (ROC) curves were used to describe the prognostic value of MED8 (AUC: 0.905 (0.849, 0.941)). Gene Set Enrichment Analysis (GSEA) and Immune infiltration Analysis were applied to reveal significant enrichment differences among TCGA data. A functional analysis showed that the cell cycle checkpoints, mitotic G2-G2–M phases, transcriptional regulation by TP53, and regulation of TP53 activity were significantly enriched in DEGs associated with high MED8 expression. Th2 cells were positively correlated with MED8 expression. Conclusions: MED8 predicts poor prognosis in HCC, potentially via the regulation of the cell cycle regulation and Th2 cells. Key words: Mediator complex subunit 8, Mediator , hepatocellular carcinoma, prognosis, diagnostic biomarker

scholarly journals High Expression of SRD5A3 in Human Hepatocellular Carcinoma (HCC) Predicts Poor Prognosis: A Study Based on TCGA Data

2021 ◽  
Author(s):  
Jing Xue ◽  
Xianzhao Yang ◽  
Feng Jiang
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Overall Survival ◽  
Poor Prognosis ◽  
Cox Regression ◽  
High Expression ◽  
Th2 Cells ◽  
Kaplan Meier ◽  
Potential Biomarker ◽  
Pathologic Features

Abstract Background: Hepatocellular carcinoma (HCC) is the fourth leading cause of cancer-related death worldwide. Steroid 5 alpha-reductase 3 (SRD5A3) was reported to be up-regulated in many types of cancer. However, its expression and role in HCC remains to be elucidated. We aim to evaluate the significance of SRD5A3 expression in HCC by using analysis of a public dataset from The Cancer Genome Atlas (TCGA).Methods: The relationship between clinical pathologic features and SRD5A3 were analyzed with the Kolmogorov‐Smirnov test and the logistic regression. Cox regression and the Kaplan-Meier method were used to assess the clinicopathologic characteristics associated with overall survival (OS) in TCGA patients. In addition, GSEA was used to predict potential hallmarks associated with different expression of SRD5A3 on transcriptional sequences from TCGA database.Results: SRD5A3 was highly expressed in HCC tumor tissue compared to normal tissue. A total of 184 upregulated DEGs (differentially expressed genes) and 58 downregulated DEGs were identified between high expression and low expression of SRD5A3. Among them, 22 hub genes mainly belonging to the keratin and MUC family demonstrated by connectivity degree in the PPI network were screened out. Kaplan-Meier method showed that HCC patients in the high SRD5A3 expression group had poorer overall survival (OS, HR=2.26(1.58-3.24), p<0.001). In addition, cell cycle mitotic, cell cycle checkpoints, mitotic nuclear division, Q-glycan processing, protein O-linked glycosylation were differentially enriched in the high SRD5A3 expression phenotype pathway. In addition, SRD5A3 expression level has significant correlations with infiltrating levels of Th17 (R = -0.238, p < 0.001), Cytotoxic cells (R = -0.234, p < 0.001) and Th2 cells (R = 0.258, p < 0.001) in HCC.Conclusions: High expression of SRD5A3 was significantly correlated with poor prognosis in HCC patients. It may be a potential biomarker in HCC.

scholarly journals Identification of a five-gene signature in association with overall survival for hepatocellular carcinoma

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11273
Author(s):  
Lei Yang ◽  
Weilong Yin ◽  
Xuechen Liu ◽  
Fangcun Li ◽  
Li Ma ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Overall Survival ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Gene Signature ◽  
Gene Set Enrichment Analysis ◽  
Enrichment Score ◽  
Hub Genes ◽  
Cox Regression Analysis

Background Hepatocellular carcinoma (HCC) is considered to be a malignant tumor with a high incidence and a high mortality. Accurate prognostic models are urgently needed. The present study was aimed at screening the critical genes for prognosis of HCC. Methods The GSE25097, GSE14520, GSE36376 and GSE76427 datasets were obtained from Gene Expression Omnibus (GEO). We used GEO2R to screen differentially expressed genes (DEGs). A protein-protein interaction network of the DEGs was constructed by Cytoscape in order to find hub genes by module analysis. The Metascape was performed to discover biological functions and pathway enrichment of DEGs. MCODE components were calculated to construct a module complex of DEGs. Then, gene set enrichment analysis (GSEA) was used for gene enrichment analysis. ONCOMINE was employed to assess the mRNA expression levels of key genes in HCC, and the survival analysis was conducted using the array from The Cancer Genome Atlas (TCGA) of HCC. Then, the LASSO Cox regression model was performed to establish and identify the prognostic gene signature. We validated the prognostic value of the gene signature in the TCGA cohort. Results We screened out 10 hub genes which were all up-regulated in HCC tissue. They mainly enrich in mitotic cell cycle process. The GSEA results showed that these data sets had good enrichment score and significance in the cell cycle pathway. Each candidate gene may be an indicator of prognostic factors in the development of HCC. However, hub genes expression was weekly associated with overall survival in HCC patients. LASSO Cox regression analysis validated a five-gene signature (including CDC20, CCNB2, NCAPG, ASPM and NUSAP1). These results suggest that five-gene signature model may provide clues for clinical prognostic biomarker of HCC.

scholarly journals Objective to identify and verify the regulatory mechanism of DTNBP1 as a prognostic marker for hepatocellular carcinoma

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Xianyi Cheng ◽  
Dezhi Li ◽  
Tiangyang Qi ◽  
Jia Sun ◽  
Tao Zhou ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Overall Survival ◽  
Prognostic Marker ◽  
Cell Cycle Progression ◽  
Cellular Proliferation ◽  
Gene Set Enrichment Analysis ◽  
Patient Treatment ◽  
Clinical Samples ◽  
Cycle Progression

AbstractAlthough the overall survival of hepatocellular carcinoma (HCC) patients has been significantly improved, prognostic clinical evaluation remains a substantial problem owing to the heterogeneity and complexity of tumor. A reliable and accurate predictive biomarker may assist physicians in better monitoring of patient treatment outcomes and follow the overall survival of patients. Accumulating evidence has revealed that DTNBP1 plays functional roles in cancer prognosis. Therefore, the expression and function of DTNBP1in HCC was systematically investigated in our study. The expression and prognostic value of DTNBP1 were investigated using the data from Cancer Genome Atlas (TCGA) database, Gene Expression Omnibus (GEO) cohorts and clinical samples. A series of cellular function assays were performed to elucidate the effect of DTNBP1 on cellular proliferation, apoptosis and metastasis. Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment and Protein–protein interaction (PPI) network construction were performed to screen the genes with highest interaction scores with DTNBP1. Finally, the underlying mechanism was also analyzed using Gene Set Enrichment Analysis (GSEA) and confirmed using RT-qPCR and western blotting. DTNBP1 was upregulated in many types of cancers, especially in HCC. The DTNBP1 expression levels is associated with clinicopathologic variables and patient survival status. The differential expression of DTNBP1 could be used to determine the risk stratification of patients with HCC. DTNBP1 deficiency inhibited cell proliferation and metastasis, but promoted cell apoptosis. Mechanistically, DTNBP1 regulated the cell cycle progression through affecting the expression of cell cycle-related genes such as CDC25A, CCNE1, CDK2, CDC20, CDC25B, CCNB1, and CDK1. DTNBP1, which regulates the cell cycle progression, may be used as a prognostic marker for HCC.

scholarly journals Long noncoding RNA UPK1A-AS1 indicates poor prognosis of hepatocellular carcinoma and promotes cell proliferation through interaction with EZH2

2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Dong-Yan Zhang ◽  
Qing-Can Sun ◽  
Xue-Jing Zou ◽  
Yang Song ◽  
Wen-Wen Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Western Blotting ◽  
Poor Prognosis ◽  
Cell Cycle Progression ◽  
Gene Set Enrichment Analysis ◽  
Luciferase Reporter ◽  
Cycle Progression ◽  
Qrt Pcr ◽  
Hcc Cells

Abstract Background Dysregulation of long non-coding RNAs (lncRNAs) is responsible for cancer initiation and development, positioning lncRNAs as not only biomarkers but also promising therapeutic targets for cancer treatment. A growing number of lncRNAs have been reported in hepatocellular carcinoma (HCC), but their functional and mechanistic roles remain unclear. Methods Gene Set Enrichment Analysis was used to investigate the molecular mechanism of UPK1A antisense RNA 1 (UPK1A-AS1). Cell Counting Kit-8 assays, EdU assays, flow cytometry, western blotting, and xenograft assays were used to confirm the role of UPK1A-AS1 in the proliferation of HCC cells in vitro and in vivo. Bioinformatics analyses and quantitative polymerase chain reaction (qRT-PCR) were performed to explore the interplay between UPK1A-AS1 and enhancer of zeste homologue 2 (EZH2). RNA immunoprecipitation (RIP), RNA pull-down assays, western blotting, and qRT-PCR were conducted to confirm the interaction between UPK1A-AS1 and EZH2. The interaction between UPK1A-AS1 and miR-138-5p was examined by luciferase reporter and RIP assays. Finally, the expression level and prognosis value of UPK1A-AS1 in HCC were analyzed using RNA sequencing data from The Cancer Genome Atlas datasets. Results We showed that UPK1A-AS1, a newly identified lncRNA, promoted cellular proliferation and tumor growth by accelerating cell cycle progression. Cell cycle-related genes, including CCND1, CDK2, CDK4, CCNB1, and CCNB2, were significantly upregulated in HCC cells overexpressing UPK1A-AS1. Furthermore, overexpression of UPK1A-AS1 could protect HCC cells from cis-platinum toxicity. Mechanistically, UPK1A-AS1 interacted with EZH2 to mediate its nuclear translocation and reinforce its binding to SUZ12, leading to increased H27K3 trimethylation. Targeting EZH2 with specific small interfering RNA impaired the UPK1A-AS1-mediated upregulation of proliferation and cell cycle progression-related genes. Moreover, miR-138-5p was identified as a direct target of UPK1A-AS1. Additionally, UPK1A-AS1 was significantly upregulated in HCC, and the upregulation of UPK1A-AS1 predicted poor prognosis for patients with HCC. Conclusions Our study revealed that UPK1A-AS1 promotes HCC development by accelerating cell cycle progression through interaction with EZH2 and sponging of miR-138-5p, suggesting that UPK1A-AS1 possesses substantial potential as a novel biomarker for HCC prognosis and therapy.

scholarly journals HAMP Downregulation Contributes to Aggressive Hepatocellular Carcinoma via Mechanism Mediated by Cyclin4-Dependent Kinase-1/STAT3 Pathway

Diagnostics ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 48 ◽  
Author(s):  
Ying Shen ◽  
Xin Li ◽  
Yanwei Su ◽  
Shaikh Atik Badshah ◽  
Bin Zhang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Cellular Proliferation ◽  
Flow Cytometric Analysis ◽  
Enrichment Analysis ◽  
Cell Cycle Checkpoints ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Cell Cycle Gene

Background: Hepcidin encoded by HAMP is vital to regulating proliferation, metastasis, and migration. Hepcidin is secreted specifically by the liver. This study sought to examine the functional role of hepcidin in hepatocellular carcinoma (HCC). Methods: Data in the Cancer Genome Atlas database was used to analyze HAMP expression as it relates to HCC prognosis. We then used the 5-ethynyl-20-deoxyuridine (EdU) incorporation assay, transwell assay, and flow cytometric analysis, respectively, to assess proliferation, migration, and the cell cycle. Gene set enrichment analysis (GSEA) was used to find pathways affected by HAMP. Results: HAMP expression was lower in hepatocellular carcinoma samples compared with adjacent normal tissue controls. Low HAMP expression was linked with a higher rate of metastasis and poor disease-free status. Downregulation of HAMP induced SMMC-7721 and HepG-2 cell proliferation and promoted their migration. HAMP could affect the cell cycle pathway and Western blotting, confirming that reduced HAMP levels activated cyclin-dependent kinase-1/stat 3 pathway. Conclusion: Our findings indicate that HAMP functions as a tumor suppressor gene. The role of HAMP in cellular proliferation and metastasis is related to cell cycle checkpoints. HAMP could be considered as a diagnostic biomarker and targeted therapy in HCC.

scholarly journals Long noncoding RNA UPK1A-AS1 indicates poor prognosis of hepatocellular carcinoma and promotes cell proliferation through interaction with EZH2

2020 ◽  
Author(s):  
Dong-Yan Zhang ◽  
Qing-Can Sun ◽  
Xue-Jing Zou ◽  
Yang Song ◽  
Wen-Wen Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Western Blotting ◽  
Poor Prognosis ◽  
Cell Cycle Progression ◽  
Gene Set Enrichment Analysis ◽  
Luciferase Reporter ◽  
Cycle Progression ◽  
Qrt Pcr ◽  
Hcc Cells

Abstract Background: Dysregulation of long non-coding RNAs (lncRNAs) is responsible for cancer initiation and development, positioning lncRNAs as not only biomarkers but also promising therapeutic targets for cancer treatment. A growing number of lncRNAs have been reported in hepatocellular carcinoma (HCC), but their functional and mechanistic roles remain unclear. Methods: Gene Set Enrichment Analysis was used to investigate the molecular mechanism of UPK1A antisense RNA 1 (UPK1A-AS1). Cell Counting Kit-8 assays, EdU assays, flow cytometry, western blotting, and xenograft assays were used to confirm the role of UPK1A-AS1 in the proliferation of HCC cells in vitro and in vivo . Bioinformatics analyses and quantitative polymerase chain reaction (qRT-PCR) were performed to explore the interplay between UPK1A-AS1 and enhancer of zeste homologue 2 (EZH2). RNA immunoprecipitation (RIP), RNA pull-down assays, western blotting, and qRT-PCR were conducted to confirm the interaction between UPK1A-AS1 and EZH2. The interaction between UPK1A-AS1 and miR-138-5p was examined by luciferase reporter and RIP assays. Finally, the expression level and prognosis value of UPK1A-AS1 in HCC were analyzed using RNA sequencing data from The Cancer Genome Atlas datasets. Results: We showed that UPK1A-AS1, a newly identified lncRNA, promoted cellular proliferation and tumor growth by accelerating cell cycle progression. Cell cycle-related genes, including CCND1, CDK2, CDK4, CCNB1, and CCNB2, were significantly upregulated in HCC cells overexpressing UPK1A-AS1. Furthermore, overexpression of UPK1A-AS1 could protect HCC cells from cis-platinum toxicity. Mechanistically, UPK1A-AS1 interacted with EZH2 to mediate its nuclear translocation and reinforce its binding to SUZ12, leading to increased H27K3 trimethylation. Targeting EZH2 with specific small interfering RNA impaired the UPK1A-AS1-mediated upregulation of proliferation and cell cycle progression-related genes. Moreover, miR-138-5p was identified as a direct target of UPK1A-AS1. Additionally, UPK1A-AS1 was significantly upregulated in HCC, and the upregulation of UPK1A-AS1 predicted poor prognosis for patients with HCC. Conclusions: Our study revealed that UPK1A-AS1 promotes HCC development by accelerating cell cycle progression through interaction with EZH2 and sponging of miR-138-5p, suggesting that UPK1A-AS1 possesses substantial potential as a novel biomarker for HCC prognosis and therapy.

scholarly journals Identifies Oncogene PDRG1 as a Potential Prognostic Biomarker in Hepatocellular Carcinoma: A Study Based on Bioinformatics Analysis

2021 ◽  
Author(s):  
Jianyang Lin ◽  
Xin Ding ◽  
Zhihong Chen ◽  
Huiwen Pan ◽  
Yinyan Wu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Survival Rates ◽  
The Cancer Genome Atlas ◽  
High Expression ◽  
Th2 Cells ◽  
Poor Overall Survival ◽  
Bioinformatics Analyses ◽  
Malignant Liver Tumor ◽  
Ppi Networks

Abstract Background: Hepatocellular carcinoma (HCC) is globally recognized as one of the most frequently occurring primary malignant liver tumor, making the identification of HCC biomarkers critically important. Methods: The gene expression and clinicopathology analysis, GO enrichment analysis (GSEA) and immune infiltration analysis are based on data obtained from The Cancer Genome Atlas (TCGA), with additional bioinformatics analyses performed. The statistical analysis was conducted in R. The protein-protein interaction (PPI) networks was constructed and the module analysis was performed using STRING and Cytoscape. Construction and evaluation of prognostic model based on PDRG1 and tumor status used nomogram and calibration.Results: The expression of PDRG1 was significantly higher in HCC tumor tissues. High expression of PDRG1 in HCC patients was significantly correlated with poor Overall Survival and adverse clinicopathological features including advanced T stage, residual tumor, histologic grade, vascular invasion, TP53 status and AFP level. GO, GSEA revealed that PDRG1 was closely correlated with DNA repair, DNA replication and cell cycle. Spearman correlation showed high expression of PDRG1 was significantly correlated with Th2 cells level in HCC patients. Nomograms based on PDRG1 and tumor stage had good predictive performance on overall survival rates of HCC patients.Conclusions: Our study demonstrated the potential significance of PDRG1 expression in the diagnosis and prognosis of HCC and further explored the function in HCC. Further study is still needed to confirm these results. The underlying mechanism revealed by these results provides a basis for PDRG1 as a new molecular target for the prevention and treatment of HCC.

AN INDIAN PROSPECTIVE STUDY OF DOCETAXEL THERAPY IN CRPC: CAN PRETREATMENT FACTORS PREDICT THE RESPONSE

2021 ◽  
pp. 78-81
Author(s):  
Devashish Kaushal ◽  
Rajeev Sood
Keyword(s):  
Overall Survival ◽  
Alkaline Phosphatase ◽  
Multivariate Analysis ◽  
Gleason Score ◽  
Univariate Analysis ◽  
Progression Free Survival ◽  
Castration Resistant Prostate Cancer ◽  
Poor Overall Survival ◽  
Free Survival ◽  
Carcinoma Prostate

Introduction: Studies on the effects of chemotherapy in Indian Castration-Resistant Prostate Cancer (CRPC) patients are very limited and world data is inconsistent. The purpose of the present study is to assess the effects of Docetaxel therapy in CRPC in Indian patients in terms of survival benet, both progression-free survival, and overall survival. This study also analyzes the effects of various factors on the survival of CRPC patients. Methodology: This is a single institutional prospective observational study. CRPC patients were treated with Docetaxel and followed till death as the primary endpoint or till the end of the study. Survivals were calculated with the Kaplan Meier method. Factors affecting survival were analyzed with univariate and multivariate analysis by log-rank t-test and Cox proportion hazard regression analysis. Result: Out of enrolled 101 patients, 78 were treated with Docetaxel. A decline in PSA (>50% reduction) was observed in 61.54%. Radiological response of regression noted in 40 % Nuclear Bone Scan and 19.23% CT/MRI by RECIST criteria. Progression-free survival and overall survival with Docetaxel (n=78) were 11.8 and 21 months respectively. Hemoglobin less than 11 gm%, Alkaline phosphatase more than 115 IU/dl, PSAmore than 14 ng/ml, Gleason score more than 7 and duration from diagnosis of carcinoma prostate to CRPC less than 24 months, the number of chemotherapy cycles less than 6 were all found to be signicantly associated with poor overall survival in univariate analysis while only Hemoglobin (P=0.0159) showed an independent association with overall survival in multivariate analysis. Conclusion: Overall and progression-free survival of CRPC patients with Docetaxel is 21 & 11.8 months respectively. Hemoglobin, Alkaline phosphatase, PSA, Gleason score, Docetaxel cycle, and duration from diagnosis of carcinoma prostate to CRPC were found to be signicantly associated with poor overall survival.

scholarly journals Exploration and validation of a novel prognostic signature based on comprehensive bioinformatics analysis in hepatocellular carcinoma

2020 ◽  
Vol 40 (11) ◽  
Author(s):  
Xiaofei Wang ◽  
Jie Qiao ◽  
Rongqi Wang
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
Overall Survival ◽  
Risk Score ◽  
Expression Profiles ◽  
Univariate Analysis ◽  
Cancer Genome ◽  
The Cancer Genome Atlas ◽  
Good Prediction ◽  
Expression Levels

Abstract The present study aimed to construct a novel signature for indicating the prognostic outcomes of hepatocellular carcinoma (HCC). Gene expression profiles were downloaded from Gene Expression Omnibus (GEO), The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC) databases. The prognosis-related genes with differential expression were identified with weighted gene co-expression network analysis (WGCNA), univariate analysis, the least absolute shrinkage and selection operator (LASSO). With the stepwise regression analysis, a risk score was constructed based on the expression levels of five genes: Risk score = (−0.7736* CCNB2) + (1.0083* DYNC1LI1) + (−0.6755* KIF11) + (0.9588* SPC25) + (1.5237* KIF18A), which can be applied as a signature for predicting the prognosis of HCC patients. The prediction capacity of the risk score for overall survival was validated with both TCGA and ICGC cohorts. The 1-, 3- and 5-year ROC curves were plotted, in which the AUC was 0.842, 0.726 and 0.699 in TCGA cohort and 0.734, 0.691 and 0.700 in ICGC cohort, respectively. Moreover, the expression levels of the five genes were determined in clinical tumor and normal specimens with immunohistochemistry. The novel signature has exhibited good prediction efficacy for the overall survival of HCC patients.

scholarly journals Upregulated Expression of CYBRD1 Predicts Poor Prognosis of Patients with Ovarian Cancer

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Rui Chen ◽  
Jianhong Cao ◽  
Wei Jiang ◽  
Shunli Wang ◽  
Jingxin Cheng
Keyword(s):  
Nk Cells ◽  
Signaling Pathway ◽  
Poor Prognosis ◽  
Cox Proportional Hazards ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Erk Signaling ◽  
Th2 Cells ◽  
Primary Therapy ◽  
Clinical Prognosis

Cytochrome b reductase 1 (CYBRD1) promotes the development of ovarian serous cystadenocarcinoma (OV). We assessed the function of CYBRD1 in OV underlying The Cancer Genome Atlas (TCGA) database. The correlation between clinicopathological characteristics and CYBRD1 expression was estimated. The Cox proportional hazards regression model and the Kaplan–Meier method were applied to identify clinical features related to overall survival and disease-specific survival. Gene set enrichment analysis (GSEA) was applied to identify the relationship between CYBRD1 expression and immune infiltration. CYBRD1 expression in OV was significantly associated with poor outcomes of primary therapy and FIGO stage. Patients with high levels of CYBRD1 expression were prone to the development of a poorly differentiated tumor and experience of an unfavorable outcome. CYBRD1 expression had significant association with shorter OS and acts as an independent predictor of poor outcome. Moreover, enhanced CYBRD1 expression was positively associated with Tem, NK cells, and mast cells but negatively associated with CD56 bright NK cells and Th2 cells. CYBRD1 expression may serve as a diagnostic and prognostic indicator of OV patients. The mechanisms of poor prognosis of CYBRD1-mediated OV may include increased iron uptake, regulation of immune microenvironment, ferroptosis related pathway, and ERK signaling pathway, among which ferroptosis and ERK signaling pathway may be important pathways of CYBRD1-mediated OV. Furthermore, we verified that CYBRD1 was upregulated in OV and significant correlated with lymph nodes metastasis, advanced stage, poor-differentiated tumor, and poor clinical prognosis in East Hospital cohort. The results of this study may provide guidance for the development of optimal treatment strategies for OV.

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