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

Dongquan Li,

Jie Gao

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Апрель 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.

Язык: Английский

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

и другие.

Liver International, Год журнала: 2025, Номер 45(4)

Опубликована: Март 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

Язык: Английский

Процитировано

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

Limeng Zhou,

Gaolong Zhong

и другие.

Pesticide Biochemistry and Physiology, Год журнала: 2024, Номер 204, С. 106064 - 106064

Опубликована: Июль 30, 2024

Язык: Английский

Процитировано

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

Dongquan Li,

Jie Gao

и другие.

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Апрель 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.

Язык: Английский

Процитировано

0