166 related articles for article (PubMed ID: 38217549)
1. Identification of immune-related genes and integrated analysis of immune-cell infiltration in melanoma.
He Z; Chen M; Luo Z
Aging (Albany NY); 2024 Jan; 16(1):911-927. PubMed ID: 38217549
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Development and Validation of a CD8+ T Cell Infiltration-Related Signature for Melanoma Patients.
Yuan Y; Zhu Z; Lan Y; Duan S; Zhu Z; Zhang X; Li G; Qu H; Feng Y; Cai H; Song Z
Front Immunol; 2021; 12():659444. PubMed ID: 34040608
[TBL] [Abstract][Full Text] [Related]
4. A Comprehensive Prognostic and Immunological Analysis of a Six-Gene Signature Associated With Glycolysis and Immune Response in Uveal Melanoma.
Liu J; Lu J; Li W
Front Immunol; 2021; 12():738068. PubMed ID: 34630418
[TBL] [Abstract][Full Text] [Related]
5. A meta-validated immune infiltration-related gene model predicts prognosis and immunotherapy sensitivity in HNSCC.
Ding Y; Chu L; Cao Q; Lei H; Li X; Zhuang Q
BMC Cancer; 2023 Jan; 23(1):45. PubMed ID: 36639648
[TBL] [Abstract][Full Text] [Related]
6. Genes associated with cellular senescence favor melanoma prognosis by stimulating immune responses in tumor microenvironment.
Liang X; Lin X; Lin Z; Lin W; Peng Z; Wei S
Comput Biol Med; 2023 May; 158():106850. PubMed ID: 37031510
[TBL] [Abstract][Full Text] [Related]
7. Tumor Immune Microenvironment Characterization Identifies Prognosis and Immunotherapy-Related Gene Signatures in Melanoma.
Liu D; Yang X; Wu X
Front Immunol; 2021; 12():663495. PubMed ID: 34025664
[TBL] [Abstract][Full Text] [Related]
8. Identification of immune-related genes with prognostic significance in the microenvironment of cutaneous melanoma.
Qu Y; Zhang S; Zhang Y; Feng X; Wang F
Virchows Arch; 2021 May; 478(5):943-959. PubMed ID: 33179141
[TBL] [Abstract][Full Text] [Related]
9. Identifying a Novel Eight-NK Cell-related Gene Signature for Ovarian Cancer Prognosis Prediction.
Li N; Yu K; Huang D; Zhou H; Zeng D
Curr Med Chem; 2024; 31(12):1578-1594. PubMed ID: 37650393
[TBL] [Abstract][Full Text] [Related]
10. A robust signature associated with patient prognosis and tumor immune microenvironment based on immune-related genes in lung squamous cell carcinoma.
Zhou H; Zhang H; Shi M; Wang J; Huang Z; Shi J
Int Immunopharmacol; 2020 Nov; 88():106856. PubMed ID: 32777677
[TBL] [Abstract][Full Text] [Related]
11. DNA damage repair-related gene signature predicts prognosis and indicates immune cell infiltration landscape in skin cutaneous melanoma.
Liang L; Mai S; Mai G; Chen Y; Liu L
Front Endocrinol (Lausanne); 2022; 13():882431. PubMed ID: 35957812
[TBL] [Abstract][Full Text] [Related]
12. A novel immune-related genes prognosis biomarker for melanoma: associated with tumor microenvironment.
Huang R; Mao M; Lu Y; Yu Q; Liao L
Aging (Albany NY); 2020 Apr; 12(8):6966-6980. PubMed ID: 32310824
[TBL] [Abstract][Full Text] [Related]
13. A Necroptosis-Related Gene Signature to Predict the Prognosis of Skin Cutaneous Melanoma.
Xie Y; Xu Z; Mei X; Shi W
Dis Markers; 2022; 2022():8232024. PubMed ID: 36438905
[TBL] [Abstract][Full Text] [Related]
14. Determination of hypoxia signature to predict prognosis and the tumor immune microenvironment in melanoma.
Shou Y; Yang L; Yang Y; Zhu X; Li F; Xu J
Mol Omics; 2021 Apr; 17(2):307-316. PubMed ID: 33624645
[TBL] [Abstract][Full Text] [Related]
15. Quantification of m6A RNA methylation modulators pattern was a potential biomarker for prognosis and associated with tumor immune microenvironment of pancreatic adenocarcinoma.
Wang L; Zhang S; Li H; Xu Y; Wu Q; Shen J; Li T; Xu Y
BMC Cancer; 2021 Jul; 21(1):876. PubMed ID: 34332578
[TBL] [Abstract][Full Text] [Related]
16. Identification of Prognostic Biomarkers of Cutaneous Melanoma Based on Analysis of Tumor Mutation Burden.
Lin J; Lin Y; Huang Z; Li X
Comput Math Methods Med; 2020; 2020():8836493. PubMed ID: 33273963
[TBL] [Abstract][Full Text] [Related]
17. A CD8
Sun S; Zhi Z; Su Y; Sun J; Li Q
Front Immunol; 2022; 13():1039565. PubMed ID: 36341357
[TBL] [Abstract][Full Text] [Related]
18. A combined aging and immune prognostic signature predict prognosis and responsiveness to immunotherapy in melanoma.
Lv W; Zhan Y; Tan Y; Wu Y; Chen H
Front Pharmacol; 2022; 13():943944. PubMed ID: 36034849
[No Abstract] [Full Text] [Related]
19. 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]
20. Analysis of differential gene immune infiltration and clinical characteristics of skin cutaneous melanoma based on systems biology and drug repositioning methods to identify drug candidates for skin cutaneous melanoma.
Long S; Xu J; Huang H
Naunyn Schmiedebergs Arch Pharmacol; 2023 Oct; 396(10):2427-2447. PubMed ID: 37086280
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
