146 related articles for article (PubMed ID: 38076064)
1. Assessment tool based on fatty acid metabolic signatures for predicting the prognosis and treatment response in bladder cancer.
Chen X; Zhang Z; Liao W; Zhao Y
Heliyon; 2023 Dec; 9(12):e22768. PubMed ID: 38076064
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of a model based on immunogenic cell death related genes to predict the prognosis and immune response to bladder urothelial carcinoma.
Chen L; Lin J; Wen Y; Chen Y; Chen CB
Front Oncol; 2023; 13():1291720. PubMed ID: 38023241
[TBL] [Abstract][Full Text] [Related]
3. Analysis and Validation of Tyrosine Metabolism-related Prognostic Features for Liver Hepatocellular Carcinoma Therapy.
Cui Z; Liu C; Li H; Wang J; Li G
Curr Med Chem; 2024 Feb; ():. PubMed ID: 38415454
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of a novel defined inflammation-related long noncoding RNA signature contributes to predicting prognosis and distinction between the cold and hot tumors in bladder cancer.
Xiong X; Chen C; Li X; Yang J; Zhang W; Wang X; Zhang H; Peng M; Li L; Luo P
Front Oncol; 2023; 13():972558. PubMed ID: 37064115
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a novel lipid metabolism-related gene prognostic signature and candidate drugs for patients with bladder cancer.
Zhu K; Xiaoqiang L; Deng W; Wang G; Fu B
Lipids Health Dis; 2021 Oct; 20(1):146. PubMed ID: 34706720
[TBL] [Abstract][Full Text] [Related]
7. Applying machine learning algorithms to develop a survival prediction model for lung adenocarcinoma based on genes related to fatty acid metabolism.
Cong D; Zhao Y; Zhang W; Li J; Bai Y
Front Pharmacol; 2023; 14():1260742. PubMed ID: 37920207
[No Abstract] [Full Text] [Related]
8. Identifying a Novel Defined Pyroptosis-Associated Long Noncoding RNA Signature Contributes to Predicting Prognosis and Tumor Microenvironment of Bladder Cancer.
Lu H; Wu J; Liang L; Wang X; Cai H
Front Immunol; 2022; 13():803355. PubMed ID: 35154117
[TBL] [Abstract][Full Text] [Related]
9. Molecular subtype construction and prognosis model for stomach adenocarcinoma characterized by metabolism-related genes.
Sun J; Wang Y; Zhang K; Shi S; Gao X; Jia X; Cong B; Zheng C
Heliyon; 2024 Apr; 10(7):e28413. PubMed ID: 38596054
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. The construction and validation of an RNA binding protein-related prognostic model for bladder cancer.
Chen F; Wang Q; Zhou Y
BMC Cancer; 2021 Mar; 21(1):244. PubMed ID: 33685397
[TBL] [Abstract][Full Text] [Related]
12. Identification of a fatty acid metabolism-related gene signature to predict prognosis in stomach adenocarcinoma.
Liu L; Sun J; Zhong C; Zhang A; Wang G; Chen S; Zhang S; Wang M; Li L
Aging (Albany NY); 2024 May; 16():. PubMed ID: 38742949
[TBL] [Abstract][Full Text] [Related]
13. Integrated bioinformatics analysis and experimental validation reveals fatty acid metabolism-related prognostic signature and immune responses for uterine corpus endometrial carcinoma.
Guo C; He Y; Chen L; Li Y; Wang Y; Bao Y; Zeng N; Jiang F; Zhou H; Zhang L
Front Oncol; 2022; 12():1030246. PubMed ID: 36439473
[TBL] [Abstract][Full Text] [Related]
14. Characterization of an Autophagy-Immune Related Genes Score Signature and Prognostic Model and its Correlation with Immune Response for Bladder Cancer.
Yu J; Mao W; Sun S; Hu Q; Wang C; Xu Z; Liu R; Chen S; Xu B; Chen M
Cancer Manag Res; 2022; 14():67-88. PubMed ID: 35023971
[TBL] [Abstract][Full Text] [Related]
15. Exploring the Shared Gene Signatures and Molecular Mechanisms between Bladder Urothelial Carcinoma and Metabolic Syndrome.
Li C; Wan Z; Deng Q; Li Z; Wang Y
Arch Esp Urol; 2023 Oct; 76(8):605-621. PubMed ID: 37960960
[TBL] [Abstract][Full Text] [Related]
16. Construction of a novel mRNA-signature prediction model for prognosis of bladder cancer based on a statistical analysis.
Li J; Cao J; Li P; Yao Z; Deng R; Ying L; Tian J
BMC Cancer; 2021 Jul; 21(1):858. PubMed ID: 34315402
[TBL] [Abstract][Full Text] [Related]
17. Identification of a tumor microenvironment-related seven-gene signature for predicting prognosis in bladder cancer.
Wang Z; Tu L; Chen M; Tong S
BMC Cancer; 2021 Jun; 21(1):692. PubMed ID: 34112144
[TBL] [Abstract][Full Text] [Related]
18. Based on cuproptosis-related lncRNAs, a novel prognostic signature for colon adenocarcinoma prognosis, immunotherapy, and chemotherapy response.
Li C; Zhang K; Gong Y; Wu Q; Zhang Y; Dong Y; Li D; Wang Z
Front Pharmacol; 2023; 14():1200054. PubMed ID: 37377924
[No Abstract] [Full Text] [Related]
19. Prognosis analysis and validation of lipid metabolism-associated lncRNAs and tumor immune microenvironment in bladder cancer.
Tan Z; Fu S; Zuo J; Wang J; Wang H
Aging (Albany NY); 2023 Aug; 15(16):8384-8407. PubMed ID: 37632832
[TBL] [Abstract][Full Text] [Related]
20. Deciphering the immunological and prognostic features of bladder cancer through platinum-resistance-related genes analysis and identifying potential therapeutic target P4HB.
Xiong S; Li S; Zeng J; Nie J; Liu T; Liu X; Chen L; Fu B; Deng J; Xu S
Front Immunol; 2023; 14():1253586. PubMed ID: 37790935
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]