Prognostic signature based on PANoptosis in clear cell renal cell carcinoma DOI Creative Commons
Jiayu Zhang,

Dongquan Li,

Jie Gao

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 25, 2024

Abstract Background: PANoptosis, a recently identified pathway of cell death, entails interplay and coordination among pyroptosis, apoptosis, necroptosis mechanisms. Yet, the prognostic implications PANoptosis-related genes (PRGs) in clear renal carcinoma (ccRCC) remain largely unexplored. Methods: In this study, nineteen were from prior research, clinical data patients with retrieved TCGA. training cohort, we conducted univariate Cox, Lasso, multivariate Cox regression analyses to identify subsequently develop PRGs signature. The signature was validated using both testing cohort entire cohort. Furthermore, nomogram developed predict prognosis at various clinicopathological stages risk scores. Additionally, network comprising 6 prognosis-related differentially expressed (PRDEGs) 5 predicted functional partners constructed. Results: We utilized analysis assess significance 19 (PRGs). Subsequently, employed least absolute shrinkage selection operator (Lasso) further evaluate value these PRGs. established model consisting six PRDEGs: TAB2, TAB3, TNFAIP3, CASP7, AIM2, TRADD. Kaplan-Meier (KM) time-related receiver operating characteristic (ROC) curve performed overall survival compare high- low-risk groups. Incorporating characteristics, as novel independent factor for through analyses. demonstrated reliable predictive ability. Conclusion: PRDEGs showed notable ccRCC. These hold promise potential therapeutic targets settings.

Language: Английский

Unravelling the Role of PANoptosis in Liver Diseases: Mechanisms and Therapeutic Implications DOI Open Access
Wanyuan Xiong, Junfeng Li, Aiping Tian

et al.

Liver International, Journal Year: 2025, Volume and Issue: 45(4)

Published: March 21, 2025

PANoptosis is a multimodal form of cell death that involves inflammatory, apoptotic, and necroptotic pathways, playing key role in the development liver diseases. This article first outlines definition characteristics PANoptosis, then explores its mechanisms action different types diseases, including acute injury, failure, metabolic dysfunction-associated fatty disease, hepatocellular carcinoma. Furthermore, this analyses molecular regulatory network potential therapeutic targets. Finally, summarises current research on diseases future directions, it reviews emerging mechanism

Language: Английский

Citations

0
Arsenic induces hepatotoxicity in chickens via PANoptosis pathway DOI
Qian Su,

Limeng Zhou,

Gaolong Zhong

et al.

Pesticide Biochemistry and Physiology, Journal Year: 2024, Volume and Issue: 204, P. 106064 - 106064

Published: July 30, 2024

Language: Английский

Citations

3
Prognostic signature based on PANoptosis in clear cell renal cell carcinoma DOI Creative Commons
Jiayu Zhang,

Dongquan Li,

Jie Gao

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: April 25, 2024

Abstract Background: PANoptosis, a recently identified pathway of cell death, entails interplay and coordination among pyroptosis, apoptosis, necroptosis mechanisms. Yet, the prognostic implications PANoptosis-related genes (PRGs) in clear renal carcinoma (ccRCC) remain largely unexplored. Methods: In this study, nineteen were from prior research, clinical data patients with retrieved TCGA. training cohort, we conducted univariate Cox, Lasso, multivariate Cox regression analyses to identify subsequently develop PRGs signature. The signature was validated using both testing cohort entire cohort. Furthermore, nomogram developed predict prognosis at various clinicopathological stages risk scores. Additionally, network comprising 6 prognosis-related differentially expressed (PRDEGs) 5 predicted functional partners constructed. Results: We utilized analysis assess significance 19 (PRGs). Subsequently, employed least absolute shrinkage selection operator (Lasso) further evaluate value these PRGs. established model consisting six PRDEGs: TAB2, TAB3, TNFAIP3, CASP7, AIM2, TRADD. Kaplan-Meier (KM) time-related receiver operating characteristic (ROC) curve performed overall survival compare high- low-risk groups. Incorporating characteristics, as novel independent factor for through analyses. demonstrated reliable predictive ability. Conclusion: PRDEGs showed notable ccRCC. These hold promise potential therapeutic targets settings.

Language: Английский

Citations

0