Identification of Pyroptosis Genes in cervical cancer and construction of a prognostic model for pyroptosis-associated mRNA

Abstract Cervical squamous cell carcinoma and endocervical adenocarcinoma(CESC) is one of the more common tumors in women worldwide and has a higher mortality rate. However, there is a paucity of information about specific biomarkers that assist in the diagnosis and prognosis of CESC. The development of a specific prognostic model is important if we are to improve treatment strategies. Pyroptosis is a form of programmed cell death, and its different elements are related to the occurrence, invasion and metastasis of tumors. However, the role of pyroptosis in CESC progression has not been clarified. The focus of this study is to use comprehensive bioinformatics to develop pyroptosis prognostic characteristics of CESC, so as to delineate the relationship among this characteristic, tumor microenvironment and immune response of patients. In combination with clinical characteristics, risk score is an independent predictor of OS in patients with CESC. Pyroptosis Genes(PRG) score was significantly correlated with immune score, immune infiltration, immune microenvironment, cancer stem cell (CSC) index, and chemotherapeutic drug sensitivity. These findings may improve our understanding of PRGs in CESC and provide new avenues for assessing prognosis and developing more effective immunotherapeutic strategies..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

ResearchSquare.com - (2022) vom: 11. Okt. Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Kang, Haojing [VerfasserIn]
Wu, Yinying [VerfasserIn]
Yan, Yanli [VerfasserIn]
Bai, Shuheng [VerfasserIn]
Li, Rong [VerfasserIn]
Feng, Zhaode [VerfasserIn]
Xuan, Wang [VerfasserIn]
Li, Guangzu [VerfasserIn]
Li, Wenyang [VerfasserIn]
Liu, Wanyi [VerfasserIn]
Wu, Fang [VerfasserIn]
Hu, Fengyuan [VerfasserIn]
Zhang, Xiangxiang [VerfasserIn]
Yang, Yiping [VerfasserIn]
Ren, Juan [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.21203/rs.3.rs-2110804/v1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XRA037444727