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A novel defined pyroptosis-related gene signature for predicting the prognosis of ovarian cancer

Open access
Ye, Ying, Dai, Qinjin, Qi, Hongbo·2021·Cell Death Discovery

Abstract

Ovarian cancer (OC) is a highly malignant gynaecological tumour that has a very poor prognosis. Pyroptosis has been demonstrated in recent years to be an inflammatory form of programmed cell death. However, the expression of pyroptosis-related genes in OC and their correlations with prognosis remain unclear. In this study, we identified 31 pyroptosis regulators that were differentially expressed between OC and normal ovarian tissues. Based on these differentially expressed genes (DEGs), all OC cases could be divided into two subtypes. The prognostic value of each pyroptosis-related gene for survival was evaluated to construct a multigene signature using The Cancer Genome Atlas (TCGA) cohort. By applying the least absolute shrinkage and selection operator (LASSO) Cox regression method, a 7-gene signature was built and classified all OC patients in the TCGA cohort into a low- or high-risk group. OC patients in the low-risk group showed significantly higher survival possibilities than those in the high-risk group (P < 0.001). Utilizing the median risk score from the TCGA cohort, OC patients from a Gene Expression Omnibus (GEO) cohort were divided into two risk subgroups, and the low-risk group had increased overall survival (OS) time (P = 0.014). Combined with the clinical characteristics, the risk score was found to be an independent factor for predicting the OS of OC patients. Gene ontology (GO) and Kyoto Encylopedia of Genes and Genomes (KEGG) analyses indicated that immune-related genes were enriched and that the immune status was decreased in the high-risk group. In conclusion, pyroptosis-related genes play important roles in tumour immunity and can be used to predict the prognosis of OCs.

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Metadata

Authors
Ye, Y., Dai, Q., & Qi, H.
Venue
Cell Death Discovery
Published
2021-04-07
Volume
7
Issue
1
Pages
71-71
ISSN
2058-7716 (ISSN-L)
OpenAlex
W3144571741
Cited by
451
References
37
FWCI
74.66
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A novel defined pyroptosis-related gene signature for predicting the prognosis of ovarian cancer. https://app.cochat.ai/papers/10.1038/s41420-021-00451-x
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Ye, Y., Dai, Q., & Qi, H. (2021). A novel defined pyroptosis-related gene signature for predicting the prognosis of ovarian cancer. Cell Death Discovery. https://doi.org/10.1038/s41420-021-00451-x

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