211 related articles for article (PubMed ID: 37889617)
1. Prediction of Prognosis and Immunotherapy Response with a Novel Natural Killer Cell Marker Genes Signature in Osteosarcoma.
Li Q; Huang X; Zhao Y
Cancer Biother Radiopharm; 2023 Oct; ():. PubMed ID: 37889617
[No Abstract] [Full Text] [Related]
2. Integrated analysis of single-cell and bulk transcriptome identifies a signature based on NK cell marker genes to predict prognosis and therapeutic response in clear cell renal cell carcinoma.
Wang K; Yu M; Zhang Z; Yin R; Chen Q; Zhao X; Yu H
Transl Cancer Res; 2023 May; 12(5):1270-1289. PubMed ID: 37304554
[TBL] [Abstract][Full Text] [Related]
3. Integrated analysis of single-cell and bulk RNA-sequencing reveals a novel signature based on NK cell marker genes to predict prognosis and immunotherapy response in gastric cancer.
Sun JR; Kong CF; Ye YX; Wang Q; Qu XK; Jia LQ; Wu S
Sci Rep; 2024 Apr; 14(1):7648. PubMed ID: 38561388
[TBL] [Abstract][Full Text] [Related]
4. Development and validation a prognostic model based on natural killer T cells marker genes for predicting prognosis and characterizing immune status in glioblastoma through integrated analysis of single-cell and bulk RNA sequencing.
Hu J; Xu L; Fu W; Sun Y; Wang N; Zhang J; Yang C; Zhang X; Zhou Y; Wang R; Zhang H; Mou R; Du X; Li X; Hu S; Xie R
Funct Integr Genomics; 2023 Aug; 23(3):286. PubMed ID: 37650991
[TBL] [Abstract][Full Text] [Related]
5. A Novel Prognostic Signature of comprising Nine NK Cell signatures Based on Both Bulk RNA Sequencing and Single-Cell RNA Sequencing for Hepatocellular Carcinoma.
Yu Q; Shi X; Wang H; Zhang S; Hu S; Cai T
J Cancer; 2023; 14(12):2209-2223. PubMed ID: 37576389
[No Abstract] [Full Text] [Related]
6. Identification and Validation of a Novel Signature Based on NK Cell Marker Genes to Predict Prognosis and Immunotherapy Response in Lung Adenocarcinoma by Integrated Analysis of Single-Cell and Bulk RNA-Sequencing.
Song P; Li W; Guo L; Ying J; Gao S; He J
Front Immunol; 2022; 13():850745. PubMed ID: 35757748
[TBL] [Abstract][Full Text] [Related]
7. Integrated analysis of single-cell and bulk RNA-sequencing reveals tumor heterogeneity and a signature based on NK cell marker genes for predicting prognosis in hepatocellular carcinoma.
Li S; Du H; Gan D; Li X; Zao X; Ye Y
Front Pharmacol; 2023; 14():1200114. PubMed ID: 37397471
[No Abstract] [Full Text] [Related]
8. Comprehensive
Xu T; Xu W; Zheng Y; Li X; Cai H; Xu Z; Zou Q; Yu B
Front Immunol; 2022; 13():931906. PubMed ID: 35958598
[TBL] [Abstract][Full Text] [Related]
9. Integrative transcriptional characterization of cell cycle checkpoint genes promotes clinical management and precision medicine in bladder carcinoma.
Shi WW; Guan JZ; Long YP; Song Q; Xiong Q; Qin BY; Ma ZQ; Hu Y; Yang B
Front Oncol; 2022; 12():915662. PubMed ID: 36033441
[TBL] [Abstract][Full Text] [Related]
10. Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model.
Tan Z; Chen X; Zuo J; Fu S; Wang H; Wang J
J Transl Med; 2023 Mar; 21(1):223. PubMed ID: 36973787
[TBL] [Abstract][Full Text] [Related]
11. Bioinformatics Analysis Reveals an Association between Autophagy, Prognosis, Tumor Microenvironment, and Immunotherapy in Osteosarcoma.
Ma Y; Tong C; Xu M; He H; Chen C
J Oncol; 2022; 2022():4220331. PubMed ID: 35874628
[TBL] [Abstract][Full Text] [Related]
12. Construction and validation of a novel signature based on epithelial-mesenchymal transition-related genes to predict prognosis and immunotherapy response in hepatocellular carcinoma by comprehensive analysis of the tumor microenvironment.
Gao B; Wang Y; Lu S
Funct Integr Genomics; 2022 Dec; 23(1):6. PubMed ID: 36536232
[TBL] [Abstract][Full Text] [Related]
13. A novel molecular signature for predicting prognosis and immunotherapy response in osteosarcoma based on tumor-infiltrating cell marker genes.
Tang H; Liu S; Luo X; Sun Y; Li X; Luo K; Liao S; Li F; Liang J; Zhan X; Wei Q; Liu Y; He M
Front Immunol; 2023; 14():1150588. PubMed ID: 37090691
[TBL] [Abstract][Full Text] [Related]
14. Identification of cuproptosis-related lncRNA prognostic signature for osteosarcoma.
Liu B; Liu Z; Feng C; Li C; Zhang H; Li Z; Tu C; He S
Front Endocrinol (Lausanne); 2022; 13():987942. PubMed ID: 36313774
[TBL] [Abstract][Full Text] [Related]
15. Classification of stomach adenocarcinoma based on fatty acid metabolism-related genes frofiling.
Liu C; Tao Y; Lin H; Lou X; Wu S; Chen L
Front Mol Biosci; 2022; 9():962435. PubMed ID: 36090054
[No Abstract] [Full Text] [Related]
16. A novel signature incorporating lipid metabolism- and immune-related genes to predict the prognosis and immune landscape in hepatocellular carcinoma.
Yang T; Luo Y; Liu J; Liu F; Ma Z; Liu G; Li H; Wen J; Chen C; Zeng X
Front Oncol; 2023; 13():1182434. PubMed ID: 37346073
[TBL] [Abstract][Full Text] [Related]
17. Identification of an antigen-presenting cells/T/NK cells-related gene signature to predict prognosis and CTSL to predict immunotherapeutic response for lung adenocarcinoma: an integrated analysis of bulk and single-cell RNA sequencing.
Huang L; Lou N; Xie T; Tang L; Han X; Shi Y
Cancer Immunol Immunother; 2023 Oct; 72(10):3259-3277. PubMed ID: 37458771
[TBL] [Abstract][Full Text] [Related]
18. Natural killer cell-related prognostic risk model predicts prognosis and treatment outcomes in triple-negative breast cancer.
Liu Z; Ding M; Qiu P; Pan K; Guo Q
Front Immunol; 2023; 14():1200282. PubMed ID: 37520534
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Systematic Analysis of Tumor Stem Cell-related Gene Characteristics to Predict the PD-L1 Immunotherapy and Prognosis of Gastric Cancer.
Wang C; Chen Y; Zhou R; Yang Y; Fang Y
Curr Med Chem; 2023 Nov; ():. PubMed ID: 37936456
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
