247 related articles for article (PubMed ID: 36544784)
1. Establishment and validation of a carbohydrate metabolism-related gene signature for prognostic model and immune response in acute myeloid leukemia.
Yang Y; Yang Y; Liu J; Zeng Y; Guo Q; Guo J; Guo L; Lu H; Liu W
Front Immunol; 2022; 13():1038570. PubMed ID: 36544784
[TBL] [Abstract][Full Text] [Related]
2. Prognosis and Characterization of Immune Microenvironment in Acute Myeloid Leukemia Through Identification of an Autophagy-Related Signature.
Fu D; Zhang B; Wu S; Zhang Y; Xie J; Ning W; Jiang H
Front Immunol; 2021; 12():695865. PubMed ID: 34135913
[TBL] [Abstract][Full Text] [Related]
3. A novel prognostic classification integrating lipid metabolism and immune co-related genes in acute myeloid leukemia.
Li D; Wu X; Cheng C; Liang J; Liang Y; Li H; Guo X; Li R; Zhang W; Song W
Front Immunol; 2023; 14():1290968. PubMed ID: 38022627
[TBL] [Abstract][Full Text] [Related]
4. A Comprehensive Metabolism-Related Gene Signature Predicts the Survival of Patients with Acute Myeloid Leukemia.
Zhai Y; Shen H; Wei H
Genes (Basel); 2023 Dec; 15(1):. PubMed ID: 38254953
[TBL] [Abstract][Full Text] [Related]
5. Identification of the Integrated Prognostic Signature Associated with Immuno-relevant Genes and Long Non-coding RNAs in Acute Myeloid Leukemia.
Zhao C; Wang Y; Sharma A; Wang Z; Zheng C; Wei Y; Wu Y; Liu P; Liu J; Zhan X; Schmidt-Wolf I; Tu F
Cancer Invest; 2022 Sep; 40(8):663-674. PubMed ID: 35770858
[TBL] [Abstract][Full Text] [Related]
6. The establishment of a prognostic scoring model based on the new tumor immune microenvironment classification in acute myeloid leukemia.
Zeng T; Cui L; Huang W; Liu Y; Si C; Qian T; Deng C; Fu L
BMC Med; 2021 Aug; 19(1):176. PubMed ID: 34348737
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Integrated bioinformatic analysis of mitochondrial metabolism-related genes in acute myeloid leukemia.
Tong X; Zhou F
Front Immunol; 2023; 14():1120670. PubMed ID: 37138869
[TBL] [Abstract][Full Text] [Related]
9. A transient receptor potential channel-related model based on machine learning for evaluating tumor microenvironment and immunotherapeutic strategies in acute myeloid leukemia.
Hua J; Ding T; Shao Y
Front Immunol; 2022; 13():1040661. PubMed ID: 36591215
[TBL] [Abstract][Full Text] [Related]
10. Construction of a Pyroptosis-Related Signature for Prognostic Prediction and Characterization of Immune Microenvironment in Acute Myelogenous Leukemia.
Liu S; Luo D; Luo J; Liang H; Zhi Y; Wang D; Xu N
Int J Gen Med; 2022; 15():2913-2927. PubMed ID: 35308573
[TBL] [Abstract][Full Text] [Related]
11. Lysosome-related genes predict acute myeloid leukemia prognosis and response to immunotherapy.
Wan P; Zhong L; Yu L; Shen C; Shao X; Chen S; Zhou Z; Wang M; Zhang H; Liu B
Front Immunol; 2024; 15():1384633. PubMed ID: 38799454
[TBL] [Abstract][Full Text] [Related]
12. A novel fatty acid metabolism-related signature identifies features of the tumor microenvironment and predicts clinical outcome in acute myeloid leukemia.
Zhang HB; Sun ZK; Zhong FM; Yao FY; Liu J; Zhang J; Zhang N; Lin J; Li SQ; Li MY; Jiang JY; Cheng Y; Xu S; Cheng XX; Huang B; Wang XZ
Lipids Health Dis; 2022 Aug; 21(1):79. PubMed ID: 36002858
[TBL] [Abstract][Full Text] [Related]
13. A novel cuproptosis-related LncRNA signature: Prognostic and therapeutic value for acute myeloid leukemia.
Li P; Li J; Wen F; Cao Y; Luo Z; Zuo J; Wu F; Li Z; Li W; Wang F
Front Oncol; 2022; 12():966920. PubMed ID: 36276132
[TBL] [Abstract][Full Text] [Related]
14. A Novel Defined Pyroptosis-Related Gene Signature for the Prognosis of Acute Myeloid Leukemia.
Huang K; Xie L; Wang F
Genes (Basel); 2022 Dec; 13(12):. PubMed ID: 36553549
[TBL] [Abstract][Full Text] [Related]
15. Analysis of prognostic biomarker models and immune microenvironment in acute myeloid leukemia by integrative bioinformatics.
Wang N
J Cancer Res Clin Oncol; 2023 Sep; 149(12):9609-9619. PubMed ID: 37222809
[TBL] [Abstract][Full Text] [Related]
16. Endoplasmic reticulum stress-related signature predicts prognosis and immune infiltration analysis in acute myeloid leukemia.
Dong L; Wang H; Miao Z; Yu Y; Gai D; Zhang G; Ge L; Shen X
Hematology; 2023 Dec; 28(1):2246268. PubMed ID: 37589214
[TBL] [Abstract][Full Text] [Related]
17. Immune-relatedlncRNAs can predict the prognosis of acute myeloid leukemia.
Li R; Wu S; Wu X; Zhao P; Li J; Xue K; Li J
Cancer Med; 2022 Feb; 11(3):888-899. PubMed ID: 34904791
[TBL] [Abstract][Full Text] [Related]
18. Identification of seven novel ferroptosis-related long non-coding RNA signatures as a diagnostic biomarker for acute myeloid leukemia.
Zheng Z; Wu W; Lin Z; Liu S; Chen Q; Jiang X; Xue Y; Lin D
BMC Med Genomics; 2021 Sep; 14(1):236. PubMed ID: 34579730
[TBL] [Abstract][Full Text] [Related]
19. Identification and validation of a novel CD8+ T cell-associated prognostic model based on ferroptosis in acute myeloid leukemia.
Jiang G; Jin P; Xiao X; Shen J; Li R; Zhang Y; Li X; Xue K; Li J
Front Immunol; 2023; 14():1149513. PubMed ID: 37138885
[TBL] [Abstract][Full Text] [Related]
20. Risk stratification of acute myeloid leukemia: Assessment using a novel prediction model based on ferroptosis-immune related genes.
Guo X; Zhou X
Math Biosci Eng; 2022 Aug; 19(12):11821-11839. PubMed ID: 36653976
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]