110 related articles for article (PubMed ID: 38784067)
1. Corrigendum: Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanoma.
Chi H; Peng G; Yang J; Zhang J; Song G; Xie X; Strohmer DF; Lai G; Zhao S; Wang R; Yang F; Tian G
Front Endocrinol (Lausanne); 2024; 15():1421538. PubMed ID: 38784067
[TBL] [Abstract][Full Text] [Related]
2. Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanoma.
Chi H; Peng G; Yang J; Zhang J; Song G; Xie X; Strohmer DF; Lai G; Zhao S; Wang R; Yang F; Tian G
Front Endocrinol (Lausanne); 2022; 13():1056310. PubMed ID: 36568076
[TBL] [Abstract][Full Text] [Related]
3. Identification of a novel immune-related gene signature for prognosis and the tumor microenvironment in patients with uveal melanoma combining single-cell and bulk sequencing data.
Wang W; Zhao H; Wang S
Front Immunol; 2023; 14():1099071. PubMed ID: 36793711
[TBL] [Abstract][Full Text] [Related]
4. Cross talk between tumor stemness and microenvironment for prognosis and immunotherapy of uveal melanoma.
Wan Q; Ren X; Tang J; Ma K; Deng YP
J Cancer Res Clin Oncol; 2023 Oct; 149(13):11951-11968. PubMed ID: 37420017
[TBL] [Abstract][Full Text] [Related]
5. Identification and validation of immunogenic cell death-related score in uveal melanoma to improve prediction of prognosis and response to immunotherapy.
Li X; Kang J; Yue J; Xu D; Liao C; Zhang H; Zhao J; Liu Q; Jiao J; Wang L; Li G
Aging (Albany NY); 2023 May; 15(9):3442-3464. PubMed ID: 37142279
[TBL] [Abstract][Full Text] [Related]
6. EMT-Related Gene Signature Predicts the Prognosis in Uveal Melanoma Patients.
Lv Y; He L; Jin M; Sun W; Tan G; Liu Z
J Oncol; 2022; 2022():5436988. PubMed ID: 35990996
[TBL] [Abstract][Full Text] [Related]
7. Programmed Cell Death-Related Gene Signature Associated with Prognosis and Immune Infiltration and the Roles of HMOX1 in the Proliferation and Apoptosis were Investigated in Uveal Melanoma.
Zhao Y; Wang L; Li X; Jiang J; Ma Y; Guo S; Zhou J; Li Y
Genes Genomics; 2024 May; ():. PubMed ID: 38767825
[TBL] [Abstract][Full Text] [Related]
8. A Novel Glycolysis-Related Signature for Predicting the Prognosis and Immune Infiltration of Uveal Melanoma.
Guo X; Yu X; Zhang Y; Luo H; Huang R; Zeng Y; Duan C; Chen C
Ophthalmic Res; 2023; 66(1):692-705. PubMed ID: 36858025
[TBL] [Abstract][Full Text] [Related]
9. Tryptophan metabolism-related gene expression patterns: unveiling prognostic insights and immune landscapes in uveal melanoma.
Wang J; Zhao T; Li B; Wei W
Aging (Albany NY); 2023 Oct; 15(20):11201-11216. PubMed ID: 37844995
[TBL] [Abstract][Full Text] [Related]
10. Identification of molecular subtyping system and four-gene prognostic signature with immune-related genes for uveal melanoma.
Xia F; Yu Z; Deng A; Gao G
Exp Biol Med (Maywood); 2022 Feb; 247(3):246-262. PubMed ID: 34743576
[TBL] [Abstract][Full Text] [Related]
11. Single cell sequencing analysis constructed the N7-methylguanosine (m7G)-related prognostic signature in uveal melanoma.
Xie J; Chen L; Cao Y; Ma C; Zhao W; Li J; Yao W; Hu Y; Wang M; Shi J
Aging (Albany NY); 2023 Mar; 15(6):2082-2096. PubMed ID: 36920166
[TBL] [Abstract][Full Text] [Related]
12. Decoding tumor heterogeneity in uveal melanoma: basement membrane genes as novel biomarkers and therapeutic targets revealed by multi-omics approaches for cancer immunotherapy.
Li Y; Cai H; Yang J; Xie X; Pei S; Wu Y; Zhang J; Song G; Zhang J; Zhang Q; Chi H; Yang G
Front Pharmacol; 2023; 14():1264345. PubMed ID: 37822877
[No Abstract] [Full Text] [Related]
13. Construction and Validation of a Novel Pyroptosis-Related Gene Signature to Predict the Prognosis of Uveal Melanoma.
Cao Y; Xie J; Chen L; Hu Y; Zhai L; Yuan J; Suo L; Shen Y; Ye R; Li J; Gong Z; Dong Y; Bao W; Li H; Wang M
Front Cell Dev Biol; 2021; 9():761350. PubMed ID: 34901006
[TBL] [Abstract][Full Text] [Related]
14. Machine learning to establish three sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with gastric cancer.
Yan J; Yu X; Li Q; Miao M; Shao Y
BMC Genomics; 2024 Mar; 25(1):319. PubMed ID: 38549047
[TBL] [Abstract][Full Text] [Related]
15. A Newly Established Cuproptosis-Related Gene Signature for Predicting Prognosis and Immune Infiltration in Uveal Melanoma.
Huang W; Yang F; Zhang Y; Fang Q; Lai Y; Lan Y
Int J Mol Sci; 2023 Jul; 24(14):. PubMed ID: 37511120
[TBL] [Abstract][Full Text] [Related]
16. Single-cell sequencing analysis related to sphingolipid metabolism guides immunotherapy and prognosis of skin cutaneous melanoma.
Ding Y; Zhao Z; Cai H; Zhou Y; Chen H; Bai Y; Liu Z; Liu S; Zhou W
Front Immunol; 2023; 14():1304466. PubMed ID: 38077400
[TBL] [Abstract][Full Text] [Related]
17. Identification and validation of a costimulatory molecule-related signature to predict the prognosis for uveal melanoma patients.
Zhao M; Yu Y; Song Z
Sci Rep; 2024 Apr; 14(1):9146. PubMed ID: 38644411
[TBL] [Abstract][Full Text] [Related]
18. Machine learning-based integrative analysis of methylome and transcriptome identifies novel prognostic DNA methylation signature in uveal melanoma.
Hou P; Bao S; Fan D; Yan C; Su J; Qu J; Zhou M
Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33367533
[TBL] [Abstract][Full Text] [Related]
19. Identification of Immune Cell Infiltration Landscape and Their Prognostic Significance in Uveal Melanoma.
Zhao H; Chen Y; Shen P; Gong L
Front Cell Dev Biol; 2021; 9():713569. PubMed ID: 34513843
[TBL] [Abstract][Full Text] [Related]
20. Dysregulation of B7 family and its association with tumor microenvironment in uveal melanoma.
Chen Y; Zheng A; Zhang Y; Xiao M; Zhao Y; Wu X; Li M; Du F; Chen Y; Chen M; Li W; Li X; Sun Y; Gu L; Xiao Z; Shen J
Front Immunol; 2022; 13():1026076. PubMed ID: 36311731
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
