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Original Research

Open Access

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

  • Dan Li1,2,3,†
  • Zhihua Du4,†
  • Hualin Song1,2,3
  • Rongjuan Li4
  • Changhui Han4
  • Xiao Wang4
  • Ke Wang1,2,3
  • Jingtao Luo2,3,5,*,

1Department of Gynecological Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, 300060 Tianjin, China

2Key Laboratory of Cancer Prevention and Therapy, 300060 Tianjin, China

3Tianjin’s Clinical Research Center for Cancer, 300060 Tianjin, China

4Department of Oncology, Affiliated Hospital of Hebei University of Traditional Chinese Medicine, Provincial Hospital of Traditional Chinese Medicine, 051000 Shijiazhuang, Hebei, China

5Department of Maxillofacial and Otorhinolaryngology Oncology and Department of Head and Neck Oncology, Tianjin Medical University Cancer Institute and Hospital, 300060 Tianjin, China

DOI: 10.22514/ejgo.2024.031 Vol.45,Issue 2,April 2024 pp.88-99

Submitted: 23 October 2022 Accepted: 08 December 2022

Published: 15 April 2024

*Corresponding Author(s): Jingtao Luo E-mail:

† These authors contributed equally.


Although morbidity has decreased in developed regions, cervical cancer (CC) continues to have the highest incidence of all gynecological malignancies. The burden of morbidity and mortality in developing regions is also rising quickly, especially for advanced CC. Along with apoptosis, iron death, and other forms of programmed cell death, pyroptosis is a significant inflammatory process. Its connection to the malignancy mechanism has been verified. The expression of genes linked to pyroptosis in CC tissue and its relationship to prognosis, however, remain poorly understood. Using The Cancer Genome Atlas, we first discovered 13 differentially expressed pyroptosis-related genes (DE-PRGs) in the study (TCGA). Based on DE-PRGs, CC patients were divided into four subtypes. The 4 parts’ times showed large variations according to the K-M curve. Then, using the least absolute shrinkage and selection operator (LASSO) Cox regression method, we created a mod el for predicting CC based on pyroptosis-associated genes. There were significant differences in overall survival (OS) times involving the high-risk and low-risk groups for all CC patients in the TCGA group, who were divided into low-risk and high-risk groups (p equals 0.0441). The risk score status as an independent prognostic factor for CC was confirmed by independent prognostic predictor validation. The analyses of single-sample gene set and enrichment analysis (ssGSEA), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Ontology (GO) all revealed significant differences in immune cells and immune pathways involving high- and low-risk groups (p less than 0.001), indicating a weakened immune status in high-risk groups. In conclusion, pyroptosis-associated genes are involved in tumor immunity and can help determine a patient’s prognosis for CC. As a result, we have created and validated a signature that is related to pyroptosis and predicts CC prognosis, which may aid in early diagnosis, prognostic analysis, and immunotherapy.


Cervical cancer; Pyroptosis; Prognosis; Signature; Bioinformatics; TCGA

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Dan Li,Zhihua Du,Hualin Song,Rongjuan Li,Changhui Han,Xiao Wang,Ke Wang,Jingtao Luo. A novel pyroptosis-related gene signature for predicting the prognosis of cervical cancer. European Journal of Gynaecological Oncology. 2024. 45(2);88-99.


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