scholarly journals Prognostic Signatures Based on Ferroptosis- and Immune-Related Genes for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma

2022 ◽  
Vol 11 ◽  
Author(s):  
Chaoqun Xing ◽  
Huiming Yin ◽  
Zhi-Yong Yao ◽  
Xiao-Liang Xing
Keyword(s):  
Overall Survival ◽  
Squamous Cell Carcinoma ◽  
Prediction Model ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Female Genital Tract ◽  
Cervical Squamous Cell Carcinoma ◽  
Assessment Model ◽  
Endocervical Adenocarcinoma ◽  
Immune Related Genes

Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) are among the most common malignancies of the female genital tract. Ferroptosis and immunity regulate each other and play important roles in the progression of CESC. The present study aimed to screen ferroptosis- and immune-related differentially expressed genes (FI-DEGs) to identify suitable prognostic signatures for patients with CESC. We downloaded the RNAseq count data and corresponding clinical information of CESC patients from The Cancer Genome Atlas database; obtained recognized ferroptosis- and immune-related genes from the FerrDb and ImmPort databases, respectively; and screened for suitable prognostic signatures using a series of bioinformatics analyses. We identified eight FI-DEGs (CALCRL, CHIT1, DES, DUOX1, FLT1, HELLS, SCD, and SDC1) that were independently correlated with the overall survival of patients with CESC. The prediction model constructed using these eight FI-DEGs was also independently correlated with overall survival. Both the sensitivity and specificity of the prediction model constructed using these eight signatures were over 60%. The comprehensive index of ferroptosis and immune status was significantly correlated with the immunity of patients with CESC. In conclusion, the risk assessment model constructed with these eight FI-DEGs predicted the CESC outcomes. Therefore, these eight FI-DEGs could serve as prognostic signatures for CESC.

scholarly journals Comprehensive Analysis of The Clinical Significance and Prognostic Value of The CBX Family in Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC)

2021 ◽  
Author(s):  
Pei Zhou ◽  
Cong Ma ◽  
Caiyun Wu ◽  
Jing Yuan ◽  
Zhaolian Wei
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Prognostic Value ◽  
Cervical Squamous Cell Carcinoma ◽  
Expression Level ◽  
Endocervical Adenocarcinoma ◽  
Prognostic Analysis ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

Abstract Background: Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) is the second most common type of cancer among gynecologic malignancies worldwide. Chromobox (CBX) family proteins are associated with the regulation of tumorigenesis, metastasis, and evolution of various cancers.Methods: The clinical features, expression levels, and prognostic value of CBXs in CESC were analyzed through several databases, including ONCOMINE, GEPIA, HPA, UALCAN, cBioPortal,Kaplan-Meier plotter and .Results: We concluded that the expression level of CBX2/4/8 was upregulated, while the expression level of CBX6/7 was downregulated in CESC specimens. Immune infiltration analysis revealed that CBX1/2/3/4/5/6/8 proteins were downregulated in normal cervical tissues, and upregulated in CESC specimens. In contrast, CBX7 protein expression was significantly higher in normal adjacent cervical tissues and was not detected in CESC tissues. CBX1/3/6 mRNA expression was significantly correlated with the pathological stage of CESC. Prognostic analysis showed that patients with high CBX7 levels of CESC had a favorable prognosis.Conclusions: Our study indicated that CBX7 could be an attractive biomarker for the prognosis of CESC.

scholarly journals A riskscore-based nomogram for the prediction of overall survival in cervical squamous cell carcinoma

2020 ◽  
Author(s):  
Lingling Li ◽  
Sujie Zhang ◽  
Lijie Wang ◽  
Haitao Tao ◽  
Yaping Long ◽  
...  
Keyword(s):  
Overall Survival ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Roc Curve ◽  
Statistical Tests ◽  
Cervical Squamous Cell Carcinoma ◽  
The Cancer Genome Atlas ◽  
Survival Prediction ◽  
Lasso Regression

Abstract Background:Cervical cancer is still the major cause of cancer-related death among women. However, the prognosis of cervical cancer varies even in the same stage. Thus, exploring prognostic biomarkers that could reflect its biological heterogeneity may contribute to identify patients with a poor prognosis.Methods:Based on the ESTIMATE algorithm, we acquired the immune/stromal scores of cervical squamous cell carcinoma (CSCC) patients collected from The Cancer Genome Atlas (TCGA) dataset. Subsequently, we analyzed the DEGs between high- and low immune score groups using R package edgeR and performed K-M analysis to illustrate the relationship between differentially expressed genes (DEGs) and the overall survival to select survival-related DEGs. Then the LASSO regression model was constructed with the package “glmnet” in R to evaluate the riskscore of each patient. Finally, we developed a nomogram composing riskscore and clinicopathological characteristics to predict the overall survival (OS) of CSCC patients. The R software v3.6.1 was used for statistical analyses. All statistical tests were two-tailed.Results:We established a riskscore model composed of two genes including FOXP3 and ZAP70. The receiver operating characteristic (ROC) curve demonstrated a good potency of the riskscore model. Ultimately, we constructed a nomogram composing riskscore, age and stage to predict the overall survival (OS) of CSCC patients. The area under the ROC curve (AUC) of the nomogram for OS was 0.805, 0.723 and 0.748 for the first, third, and fifth years, respectively. The concordance index (C-index) was 0.746. The calibration curves also showed optimal accuracy of the nomogram for survival prediction. Conclusion:The nomogram based on riskscore could predict overall survival in CSCC and may benefit those patients through individualized immunotherapy.

scholarly journals The New Biomarker for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (CESC) Based on Public Database Mining

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hao Ding ◽  
Xiao-Xing Xiong ◽  
Guan-Lan Fan ◽  
Yue-Xiong Yi ◽  
Yu-Rou Chen ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Early Diagnosis ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Cervical Squamous Cell Carcinoma ◽  
Public Database ◽  
Endocervical Adenocarcinoma ◽  
Cerna Network ◽  
Diagnosis And Prognosis ◽  
Prognosis Evaluation

To reconstruct the ceRNA biological network of cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) and to select an appropriate mRNA as a biomarker that could be used for CESC early diagnosis and prognosis evaluation. We downloaded CESC data from the TCGA public database, and statistical analysis was conducted with the R software to find out differential expressed genes encoding for lncRNAs, miRNAs, and mRNAs. The differentially expressed mRNAs (DEmRNAs) screened in the ceRNA network were analyzed for survival to find the mRNAs with significantly linked to the survival prognosis. These mRNAs were searched in the Pathological Atlas to identify the final appropriate mRNAs. Differential expression analysis revealed 773 lncRNAs, 94 miRNAs, and 2466 mRNAs. Survival analysis of DEmRNAs in the ceRNA network indicated that ADGRF4, ANXA8L1, HCAR3, IRF6, and PDE2A (P<0.05) were negatively correlated with survival time. Verification of these six DEmRNAs in the Pathology Atlas indicated that PDE2A was a possible biomarker for CESC patients. PDE2A might be a biomarker for early diagnosis and prognosis evaluation of CESC patients, but due to the lack of available data, further studies may be needed for confirmation.

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