218 related articles for article (PubMed ID: 37664853)
1. Expression patterns and immunological characterization of PANoptosis -related genes in gastric cancer.
Qing X; Jiang J; Yuan C; Xie K; Wang K
Front Endocrinol (Lausanne); 2023; 14():1222072. PubMed ID: 37664853
[TBL] [Abstract][Full Text] [Related]
2. PANoptosis subtypes predict prognosis and immune efficacy in gastric cancer.
Liu Z; Sun L; Peng X; Zhu J; Wu C; Zhu W; Huang C; Zhu Z
Apoptosis; 2024 Jun; 29(5-6):799-815. PubMed ID: 38347337
[TBL] [Abstract][Full Text] [Related]
3. Characterization of PANoptosis patterns predicts survival and immunotherapy response in gastric cancer.
Pan H; Pan J; Li P; Gao J
Clin Immunol; 2022 May; 238():109019. PubMed ID: 35470064
[TBL] [Abstract][Full Text] [Related]
4. Identification of immune infiltration and cuproptosis-related molecular clusters in tuberculosis.
Li S; Long Q; Nong L; Zheng Y; Meng X; Zhu Q
Front Immunol; 2023; 14():1205741. PubMed ID: 37497230
[TBL] [Abstract][Full Text] [Related]
5. Identification and immunological characterization of cuproptosis-related molecular clusters in Alzheimer's disease.
Lai Y; Lin C; Lin X; Wu L; Zhao Y; Lin F
Front Aging Neurosci; 2022; 14():932676. PubMed ID: 35966780
[TBL] [Abstract][Full Text] [Related]
6. Construction of a machine learning-based artificial neural network for discriminating PANoptosis related subgroups to predict prognosis in low-grade gliomas.
Chen G; He Z; Jiang W; Li L; Luo B; Wang X; Zheng X
Sci Rep; 2022 Dec; 12(1):22119. PubMed ID: 36543888
[TBL] [Abstract][Full Text] [Related]
7. PANoptosis-based molecular clustering and prognostic signature predicts patient survival and immune landscape in colon cancer.
Wang X; Sun R; Chan S; Meng L; Xu Y; Zuo X; Wang Z; Hu X; Han Q; Dai L; Bai T; Yu Z; Wang M; Yang W; Zhang H; Chen W
Front Genet; 2022; 13():955355. PubMed ID: 36186438
[TBL] [Abstract][Full Text] [Related]
8. Development and validation of biomarkers related to PANoptosis in osteoarthritis.
Zhang YY; Zhao HS; Sun YF; Lu BW; Sun L
Eur Rev Med Pharmacol Sci; 2023 Aug; 27(16):7444-7458. PubMed ID: 37667921
[TBL] [Abstract][Full Text] [Related]
9. Identification and immune features of cuproptosis-related molecular clusters in polycystic ovary syndrome.
Su Z; Su W; Li C; Ding P; Wang Y
Sci Rep; 2023 Jan; 13(1):980. PubMed ID: 36653385
[TBL] [Abstract][Full Text] [Related]
10. Identification and immunological characterization of endoplasmic reticulum stress-related molecular subtypes in bronchopulmonary dysplasia based on machine learning.
Tao Z; Mao Y; Hu Y; Tang X; Wang J; Zeng N; Bao Y; Luo F; Wu C; Jiang F
Front Physiol; 2022; 13():1084650. PubMed ID: 36699685
[No Abstract] [Full Text] [Related]
11. Cuproptosis-related gene identification and immune infiltration analysis in systemic lupus erythematosus.
Li W; Guan X; Wang Y; Lv Y; Wu Y; Yu M; Sun Y
Front Immunol; 2023; 14():1157196. PubMed ID: 37313407
[TBL] [Abstract][Full Text] [Related]
12. Transcriptomic analysis reveals molecular characterization and immune landscape of PANoptosis-related genes in atherosclerosis.
Zheng Z; Li K; Yang Z; Wang X; Shen C; Zhang Y; Lu H; Yin Z; Sha M; Ye J; Zhu L
Inflamm Res; 2024 Jun; 73(6):961-978. PubMed ID: 38587531
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics analysis of PANoptosis regulators in the diagnosis and subtyping of steroid-induced osteonecrosis of the femoral head.
Ding Q; Xiong B; Liu J; Rong X; Tian Z; Chen L; Tao H; Li H; Zeng P
Medicine (Baltimore); 2024 May; 103(18):e37837. PubMed ID: 38701259
[TBL] [Abstract][Full Text] [Related]
14. Identification and Analysis of PANoptosis-Related Genes in Sepsis-Induced Lung Injury by Bioinformatics and Experimental Verification.
Yang Z; Kao X; Huang N; Yuan K; Chen J; He M
J Inflamm Res; 2024; 17():1941-1956. PubMed ID: 38562657
[TBL] [Abstract][Full Text] [Related]
15. Identification of molecular subtypes based on PANoptosis-related genes and construction of a signature for predicting the prognosis and response to immunotherapy response in hepatocellular carcinoma.
Zhu J; Huang Q; Peng X; Luo C; Liu Z; Liu D; Yuan H; Yuan R; Cheng X
Front Immunol; 2023; 14():1218661. PubMed ID: 37662906
[TBL] [Abstract][Full Text] [Related]
16. A nomogram model based on the number of examined lymph nodes-related signature to predict prognosis and guide clinical therapy in gastric cancer.
Li H; Lin D; Yu Z; Li H; Zhao S; Hainisayimu T; Liu L; Wang K
Front Immunol; 2022; 13():947802. PubMed ID: 36405735
[TBL] [Abstract][Full Text] [Related]
17. Characterization of PANoptosis-related genes in Crohn's disease by integrated bioinformatics, machine learning and experiments.
Yang Y; Hounye AH; Chen Y; Liu Z; Shi G; Xiao Y
Sci Rep; 2024 May; 14(1):11731. PubMed ID: 38778086
[TBL] [Abstract][Full Text] [Related]
18. Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer's disease.
Wei H; Wu C; Yuan Y; Lai L
Front Aging Neurosci; 2023; 15():1249682. PubMed ID: 37799623
[TBL] [Abstract][Full Text] [Related]
19. Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma.
Shi X; Gao X; Liu W; Tang X; Liu J; Pan D; Duan X; Jin Y; Ren W; Yang L; Liu W
Oncol Res; 2023; 31(4):569-590. PubMed ID: 37415742
[TBL] [Abstract][Full Text] [Related]
20. Identification of a Tumor Microenvironment-relevant Gene set-based Prognostic Signature and Related Therapy Targets in Gastric Cancer.
Cai WY; Dong ZN; Fu XT; Lin LY; Wang L; Ye GD; Luo QC; Chen YC
Theranostics; 2020; 10(19):8633-8647. PubMed ID: 32754268
[No Abstract] [Full Text] [Related]
[Next] [New Search]
