200 related articles for article (PubMed ID: 37921852)
21. Identification of fatty acid metabolism-related molecular subtype biomarkers and their correlation with immune checkpoints in cutaneous melanoma.
Xu Y; Chen Y; Jiang W; Yin X; Chen D; Chi Y; Wang Y; Zhang J; Zhang Q; Han Y
Front Immunol; 2022; 13():967277. PubMed ID: 36466837
[TBL] [Abstract][Full Text] [Related]
22. Machine learning developed an intratumor heterogeneity signature for predicting prognosis and immunotherapy benefits in skin cutaneous melanoma.
Zhang W; Wang S
Melanoma Res; 2024 Jun; 34(3):215-224. PubMed ID: 38364052
[TBL] [Abstract][Full Text] [Related]
23. A novel anoikis-related prognostic signature associated with prognosis and immune infiltration landscape in clear cell renal cell carcinoma.
Chen Z; Liu X; Zhu Z; Chen J; Wang C; Chen X; Zhu S; Zhang A
Front Genet; 2022; 13():1039465. PubMed ID: 36338978
[No Abstract] [Full Text] [Related]
24. Analysis of immune subtypes based on immunogenomic profiling identifies prognostic signature for cutaneous melanoma.
Hu B; Wei Q; Zhou C; Ju M; Wang L; Chen L; Li Z; Wei M; He M; Zhao L
Int Immunopharmacol; 2020 Dec; 89(Pt A):107162. PubMed ID: 33168410
[TBL] [Abstract][Full Text] [Related]
25. Oncogenic signaling pathway-related long non-coding RNAs for predicting prognosis and immunotherapy response in breast cancer.
Li H; Liu H; Hao Q; Liu X; Yao Y; Cao M
Front Immunol; 2022; 13():891175. PubMed ID: 35990668
[TBL] [Abstract][Full Text] [Related]
26. Melanoma Molecular Subtypes and Development of Prognostic and Immunotherapy-Related Genetic Characteristics by Ferroptosis Gene Analysis.
Xu L; Zhang Y; Liu T; Wang L; Zhao Z; Zhang X; Li X; Wu W; Yu S
Comput Math Methods Med; 2022; 2022():2992939. PubMed ID: 35516454
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.
Wang J; Qin D; Tao Z; Wang B; Xie Y; Wang Y; Li B; Cao J; Qiao X; Zhong S; Hu X
Front Immunol; 2022; 13():1056932. PubMed ID: 36479114
[TBL] [Abstract][Full Text] [Related]
29. Development of a novel hypoxia-immune-related LncRNA risk signature for predicting the prognosis and immunotherapy response of colorectal cancer.
Luan L; Dai Y; Shen T; Yang C; Chen Z; Liu S; Jia J; Li Z; Fang S; Qiu H; Cheng X; Yang Z
Front Immunol; 2022; 13():951455. PubMed ID: 36189298
[TBL] [Abstract][Full Text] [Related]
30. Core immune cell infiltration signatures identify molecular subtypes and promote precise checkpoint immunotherapy in cutaneous melanoma.
Zhu Z; Li G; Li Z; Wu Y; Yang Y; Wang M; Zhang H; Qu H; Song Z; He Y
Front Immunol; 2022; 13():914612. PubMed ID: 36072600
[TBL] [Abstract][Full Text] [Related]
31. Leveraging a disulfidptosis-related signature to predict the prognosis and immunotherapy effectiveness of cutaneous melanoma based on machine learning.
Zhao Y; Wei Y; Fan L; Nie Y; Li J; Zeng R; Li J; Zhan X; Lei L; Kang Z; Li J; Zhang W; Yang Z
Mol Med; 2023 Oct; 29(1):145. PubMed ID: 37884883
[TBL] [Abstract][Full Text] [Related]
32. Computational construction of TME-related lncRNAs signature for predicting prognosis and immunotherapy response in clear cell renal cell carcinoma.
Zhou L; Fang H; Guo F; Yin M; Long H; Weng G
J Clin Lab Anal; 2022 Aug; 36(8):e24582. PubMed ID: 35808868
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Ferroptosis-related lncRNA signature predicts prognosis and immunotherapy efficacy in cutaneous melanoma.
Xu Y; Chen Y; Niu Z; Yang Z; Xing J; Yin X; Guo L; Zhang Q; Yang Y; Han Y
Front Surg; 2022; 9():860806. PubMed ID: 35937602
[TBL] [Abstract][Full Text] [Related]
35. Prediction of clinical prognosis in cutaneous melanoma using an immune-related gene pair signature.
Yang Y; Long X; Li G; Yu X; Liu Y; Li K; Tian X
Bioengineered; 2021 Dec; 12(1):1803-1812. PubMed ID: 34047683
[TBL] [Abstract][Full Text] [Related]
36. Identification and validation of an epithelial mesenchymal transition-related gene pairs signature for prediction of overall survival in patients with skin cutaneous melanoma.
Shi Y; Li Z; Zhou Z; Liao S; Wu Z; Li J; Yin J; Wang M; Weng M
PeerJ; 2022; 10():e12646. PubMed ID: 35116193
[TBL] [Abstract][Full Text] [Related]
37. Comprehensive analysis of ferroptosis-related genes and prognosis of cutaneous melanoma.
Liu C; Liu Y; Yu Y; Zhao Y; Yu A
BMC Med Genomics; 2022 Mar; 15(1):39. PubMed ID: 35232428
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Construction of a cancer-associated fibroblasts-related long non-coding RNA signature to predict prognosis and immune landscape in pancreatic adenocarcinoma.
Ye Y; Zhao Q; Wu Y; Wang G; Huang Y; Sun W; Zhang M
Front Genet; 2022; 13():989719. PubMed ID: 36212154
[No Abstract] [Full Text] [Related]
40. Construction and Validation of a Reliable Disulfidptosis-Related LncRNAs Signature of the Subtype, Prognostic, and Immune Landscape in Colon Cancer.
Dong X; Liao P; Liu X; Yang Z; Wang Y; Zhong W; Wang B
Int J Mol Sci; 2023 Aug; 24(16):. PubMed ID: 37629096
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]