A Pyroptosis-Related Gene Signature for Predicting Survival in Glioblastoma

Li, Xinyu; Zhang, Luyu; Li, Xueyuan; Yang, Xitao; Su, Lixin

doi:10.3389/fonc.2021.697198

Cited by 44 publications

(38 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, CAFs have become a new target for tumor therapy. For example, inhibition of tumor progression by targeting and regulating CAFs or overcoming their barrier Previous studies have demonstrated the role of the tumor microenvironment, especially the immune microenvironment, in tumor biology (Sumida et al, 2011;Xu et al, 2020;Li et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Model Based on Necroptosis-Related Genes for Predicting Prognosis of Patients With Prostate Adenocarcinoma

You

Zhang

et al. 2022

Front. Bioeng. Biotechnol.

Self Cite

View full text Add to dashboard Cite

Background: Necroptosis is a newly recognized form of cell death. Here, we applied bioinformatics tools to identify necroptosis-related genes using a dataset from The Cancer Genome Atlas (TCGA) database, then constructed a model for prognosis of patients with prostate cancer.Methods: RNA sequence (RNA‐seq) data and clinical information for Prostate adenocarcinoma (PRAD) patients were obtained from the TCGA portal (http://tcga-data.nci.nih.gov/tcga/). We performed comprehensive bioinformatics analyses to identify hub genes as potential prognostic biomarkers in PRAD u followed by establishment and validation of a prognostic model. Next, we assessed the overall prediction performance of the model using receiver operating characteristic (ROC) curves and the area under curve (AUC) of the ROC.Results: A total of 5 necroptosis-related genes, namely ALOX15, BCL2, IFNA1, PYGL and TLR3, were used to construct a survival prognostic model. The model exhibited excellent performance in the TCGA cohort and validation group and had good prediction accuracy in screening out high-risk prostate cancer patients.Conclusion: We successfully identified necroptosis-related genes and constructed a prognostic model that can accurately predict 1- 3-and 5-years overall survival (OS) rates of PRAD patients. Our riskscore model has provided novel strategy for the prediction of PRAD patients’ prognosis.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Previous studies have demonstrated the role of the tumor microenvironment, especially the immune microenvironment, in tumor biology ( Sumida et al, 2011 ; Xu et al, 2020 ; Li et al, 2021 ). Results of the present study showed that the identified DEGs were mainly enriched in immune-related pathways.…”

Section: Discussionmentioning

confidence: 99%

A Novel Model Based on Necroptosis-Related Genes for Predicting Prognosis of Patients With Prostate Adenocarcinoma

You

Zhang

et al. 2022

Front. Bioeng. Biotechnol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…18 Besides, DFNA5/ GSDME acted as an antioncogene in hepatocellular cancer, and loss of DFNA5/GSDME contributed to drug resistance in melanoma and lung cancer. [19][20][21] Signatures based on pyroptosis showed substantial prognostic predictive values in ovarian cancer, 22 glioblastoma, 23 melanoma, 24 and gastric cancer, 25 but pyroptosis-related signatures on BC are lacking. Besides, pyroptosis was identified in many types of immune cells, but the potential function of pyroptosis in the tumour immune microenvironment (TIME) remains undefined.…”

mentioning

confidence: 99%

Pyroptosis‐related molecular classification and immune microenvironment infiltration in breast cancer: A novel therapeutic target

Luo

Lai

2022

J Cellular Molecular Medi

View full text Add to dashboard Cite

Globally, breast cancer (BC) is one of the most common malignant tumours, which ranks first in females in terms of incidence. [1][2][3] In the clinic, the treatment approach for nonmetastatic BC mainly depends on the clinical TNM stage and molecular subtypes. The standardized application of adjuvant systemic therapy can lower mortality from BC. 4 However, almost 30% of nonmetastatic BC patients suffered from disease recurrence or metastasis after initial comprehensive treatments. 5 Besides, numerous studies had revealed that BC was a heterogeneous group of cancer resulting in diverse phenotypes which had a variety of recurrence risks. [6][7][8] Additionally, immunotherapy was applied in PD-L1-positive metastatic triple-negative BC, but the detection and predictive value of PD-L1 has limitations, and immunotherapy should be distinguished. 9 Thus, it would be of great value to create clinically applicable predictive models to aid in

show abstract

“… 43 , 44 At the same time, Li, X.Y et al found that there was a close relationship between CASP4 and glioblastoma. 45 Concluding the results of survival analysis, independent prognosis analysis, and nomogram, we found that the risk signature had the accurate effectiveness for predicting survival of patients.…”

Section: Discussionmentioning

confidence: 77%

A Pyroptosis-Related Gene Signature Associated with Prognosis and Tumor Immune Microenvironment in Gliomas

Zhou¹,

Xu²,

Huang³

et al. 2022

IJGM

View full text Add to dashboard Cite

Background Pyroptosis is a novel form of cell death that plays a significant role in cancer, while the prognostic values of pyroptosis-related genes in gliomas have not been revealed. Methods We analyzed the RNA-seq and clinical data of gliomas from the University of California Santa Cruz (UCSC) Xena database to determine differentially expressed pyroptosis-related genes. Based on these genes, a pyroptosis genes signature was constructed after univariate Cox analysis and Lasso Cox analyses. The sensitivity and specificity of pyroptosis genes signature were verified by the Chinese Glioma Genome Atlas (CGGA) dataset. Finally, we explored the association of risk signatures with tumor microenvironment and immune cell infiltration. Results Of 15 differentially expressed pyroptosis-related genes, three genes of BCL2 associated X (BAX), caspase 3 (CASP3), and caspase 4 (CASP4) were used to construct the risk signature. The effectiveness of risk signature for predicting survival at 1, 3, 5 years was performed by the receiver operating characteristic curve (ROC), and the area under curves (AUC) was 0.739, 0.817, and 0.800, respectively. Functional enrichment results showed signal transduction, cell adhesion, immune response, and inflammatory response were enriched. The immune analysis revealed that pyroptosis had a remarkable effect on the immune microenvironment. Conclusion In this study, we constructed a pyroptosis-related gene signature, which can serve as a potential biomarker for predicting the survival of glioma patients. Additionally, we suggested that pyroptosis may promote gliomas development by inducing chronic inflammation microenvironment.

show abstract

A Pyroptosis-Related Gene Signature for Predicting Survival in Glioblastoma

Cited by 44 publications

References 31 publications

A Novel Model Based on Necroptosis-Related Genes for Predicting Prognosis of Patients With Prostate Adenocarcinoma

A Novel Model Based on Necroptosis-Related Genes for Predicting Prognosis of Patients With Prostate Adenocarcinoma

Pyroptosis‐related molecular classification and immune microenvironment infiltration in breast cancer: A novel therapeutic target

A Pyroptosis-Related Gene Signature Associated with Prognosis and Tumor Immune Microenvironment in Gliomas

Contact Info

Product

Resources

About