Pyroptosis-Related Gene Signatures Can Robustly Diagnose Skin Cutaneous Melanoma and Predict the Prognosis

Ju, Anji; Tang, Jintian; Chen, Shuohua; Fu, Yan; Luo, Yongzhang

doi:10.3389/fonc.2021.709077

Cited by 64 publications

(57 citation statements)

References 56 publications

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“…Moreover, the levels of immune-related pathways, including cytolytic activity, HLA, and T cell costimulation, were less active in the high-risk group than in the low-risk group. Studies by Ye et al ( 2021 ), Ju et al ( 2021 ), Shao et al ( 2021 ), Isik et al ( 2016 , 2021 ). The risk model constructed by the signature composed of PRGs can predict the prognosis of cancer patients, and PRGs are related to tumor immunity.…”

Section: Discussionmentioning

confidence: 99%

The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma

Deng

Sun

Zhao

et al. 2022

Mol Med

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Background Hepatocellular carcinoma (HCC) remains one of the most common malignant tumors with poor survival. Pyroptosis is a kind of programmed cell death that can regulate the proliferation, invasion, and metastasis of tumor cells. However, the expression levels of pyroptosis-related genes (PRGs) in HCC and their relationship with prognosis are still unclear. Methods Our study identified 35 PRGs through bioinformatics analysis that were differentially expressed between tumor samples and nontumor samples. According to these differentially expressed genes, HCC patients could be divided into two groups, cluster 1 and cluster 2. The least absolute shrinkage and selection operator (LASSO) Cox regression method was performed to construct a 10-gene signature that classified HCC patients in the cancer genome atlas (TCGA) database into low-risk and high-risk groups. Results The results showed that the survival rate of HCC patients in the low-risk group was significantly higher than that in the high-risk group (p < 0.001). The validation cohort, the Gene Expression Omnibus (GEO) cohort, was divided into two risk groups based on the median risk score calculated by the TCGA cohort. The overall survival (OS) of the low-risk group was significantly better than that of the high-risk group (p = 0.007). Univariate and multivariate Cox regression analyses revealed that the risk score was an independent factor in predicting OS in HCC patients. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed that immune-related high-risk groups were rich in genes and had reduced immune status. Conclusions PRGs play a significant role in tumor immunity and have the potential capability to predict the prognosis of HCC patients.

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Section: Discussionmentioning

confidence: 99%

The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma

Deng

Sun

Zhao

et al. 2022

Mol Med

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“…However, its role in CM has not been systemically studied. Recently, a pyroptosis-associated gene signature for CM was constructed (Ju et al, 2021), however, this study only selected 20 pyroptosis-associated genes for risk model construction, and they did not conduct in-depth research on the mechanisms related to CM progression. In this study, 146 pyroptosis-associated gene lists were downloaded from the public database, which provides an excellent chance to identify more potential molecular markers.…”

Section: Discussionmentioning

confidence: 99%

A novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma

Chen

Jin

et al. 2021

PeerJ

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Background Cutaneous melanoma (CM) is a life-threatening destructive malignancy. Pyroptosis significantly correlates with programmed tumor cell death and its microenvironment through active host-tumor crosstalk. However, the prognostic value of pyroptosis-associated gene signatures in CM remains unclear. Methods Gene profiles and clinical data of patients with CM were downloaded from The Cancer Genome Atlas (TCGA) to identify differentially expressed genes associated with pyroptosis and overall survival (OS). We constructed a prognostic gene signature using LASSO analysis, then applied immune cell infiltration scores and Kaplan-Meier, Cox, and pathway enrichment analyses to determine the roles of the gene signature in CM. A validation cohort was collected from the Gene Expression Omnibus (GEO) database. Results Four pyroptosis-associated genes were identified and incorporated into a prognostic gene signature. Integrated bioinformatics findings showed that the signature correlated with patient survival and was associated with tumor growth and metastasis. The results of Gene Set Enrichment Analysis of a risk signature indicated that several enriched pathways are associated with cancer and immunity. The risk signature for immune status significantly correlated with tumor stem cells, the immune microenvironment, immune cell infiltration and immune subtypes. The expression of four pyroptosis genes significantly correlated with the OS of patients with CM and was related to the sensitivity of cancer cells to several antitumor drugs. A signature comprising four genes associated with pyroptosis offers a novel approach to the prognosis and survival of patients with CM and will facilitate the development of individualized therapy.

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“…Importantly, pyroptosis-related signature was established based on five key DEGs by LASSO COX regression analysis. Besides, solely relying on a single gene for diagnosis and prognosis prediction was inaccurate ( Ju et al, 2021 ). The utility of pyroptosis-related risk score was confirmed by the significant survival difference in TCGA-SARC cohort.…”

Section: Discussionmentioning

confidence: 99%

Identification and Validation of a Novel Pyroptosis-Related Gene Signature for Prognosis Prediction in Soft Tissue Sarcoma

Wan

et al. 2021

Front. Genet.

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Soft tissue sarcoma (STS) represents an uncommon and heterogenous group of malignancies, and poses substantial therapeutic challenges. Pyroptosis has been demonstrated to be related with tumor progression and prognosis. Nevertheless, no studies exist that delineated the role of pyroptosis-related genes (PRGs) in STS. In the present study, we comprehensively and systematically analyzed the gene expression profiles of PRGs in STS. The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases were utilized to identify differentially expressed PRGs. In total, 34 PRGs were aberrantly expressed between STS and normal tissues. Several PRGs were validated with RT-qPCR. Consensus clustering analysis based on PRGs was conducted to divide STS patients into two clusters, and significant survival difference was observed between two distinct clusters (p = 0.019). Differentially expressed genes (DEGs) were identified between pyroptosis-related clusters. Based on the least absolute shrinkage and selection operator (LASSO) COX regression analysis, the pyroptosis-related gene signature with five key DEGs was constructed. The high pyroptosis-related risk score group of TCGA cohort was characterized by poorer prognosis (p < 0.001), with immune infiltration and function significantly decreased. For external validation, STS patients from Gene Expression Omnibus (GEO) were grouped according to the same cut-off point. The survival difference between two risk groups of GEO cohort was also significant (p < 0.001). With the combination of clinical characteristics, pyroptosis-related risk score was identified to serve as an independent prognostic factor for STS patients. In conclusion, this study provided a comprehensive overview of PRGs in STS and the potential role in prognosis, which could be an important direction for future studies.

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Pyroptosis-Related Gene Signatures Can Robustly Diagnose Skin Cutaneous Melanoma and Predict the Prognosis

Cited by 64 publications

References 56 publications

The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma

The pyroptosis-related gene signature predicts prognosis and indicates immune activity in hepatocellular carcinoma

A novel pyroptosis-associated gene signature for immune status and prognosis of cutaneous melanoma

Identification and Validation of a Novel Pyroptosis-Related Gene Signature for Prognosis Prediction in Soft Tissue Sarcoma

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