135 related articles for article (PubMed ID: 35282130)
1. Comparison of multi-omics results between patients with acute myeloid leukemia with long-term survival and healthy controls.
Song Y; Hao Q; Zhang G; Fang Q; Wang Z; Li Y; Wei H; Wang Y; Jiang E; Tian Z; Jia Y; Wang M; Wang J; Mi Y
Ann Transl Med; 2022 Jan; 10(2):82. PubMed ID: 35282130
[TBL] [Abstract][Full Text] [Related]
2. Exploring prognostic markers for patients with acute myeloid leukemia based on cuproptosis related genes.
Li X; Xu L
Transl Cancer Res; 2023 Aug; 12(8):2008-2022. PubMed ID: 37701119
[TBL] [Abstract][Full Text] [Related]
3. Effects of ferroptosis-related gene HSPB1 on acute myeloid leukemia.
Yan XS; Sun YJ; Du J; Niu WY; Qiao H; Yin XC
Int J Lab Hematol; 2024 Jun; ():. PubMed ID: 38826023
[TBL] [Abstract][Full Text] [Related]
4. Uncovering the cellular and omics characteristics of natural killer cells in the bone marrow microenvironment of patients with acute myeloid leukemia.
Zhang L; Sun Y; Xue CE; Wang S; Xu X; Zheng C; Chen C; Kong D
Cancer Cell Int; 2024 Mar; 24(1):106. PubMed ID: 38481242
[TBL] [Abstract][Full Text] [Related]
5. SPINK2 is a prognostic biomarker related to immune infiltration in acute myeloid leukemia.
Chen X; Zhao L; Yu T; Zeng J; Chen M
Am J Transl Res; 2022; 14(1):197-210. PubMed ID: 35173838
[TBL] [Abstract][Full Text] [Related]
6. Integrative Analysis of Multi-Omics Identified the Prognostic Biomarkers in Acute Myelogenous Leukemia.
Zheng J; Zhang T; Guo W; Zhou C; Cui X; Gao L; Cai C; Xu Y
Front Oncol; 2020; 10():591937. PubMed ID: 33363022
[TBL] [Abstract][Full Text] [Related]
7. Increased NFATC4 Correlates With Poor Prognosis of AML Through Recruiting Regulatory T Cells.
Zhao C; Yang S; Lu W; Liu J; Wei Y; Guo H; Zhang Y; Shi J
Front Genet; 2020; 11():573124. PubMed ID: 33329712
[TBL] [Abstract][Full Text] [Related]
8. Single-cell transcriptomic profiling reveals immune cell heterogeneity in acute myeloid leukaemia peripheral blood mononuclear cells after chemotherapy.
Hu X; Cao D; Zhou Z; Wang Z; Zeng J; Hong WX
Cell Oncol (Dordr); 2024 Feb; 47(1):97-112. PubMed ID: 37615858
[TBL] [Abstract][Full Text] [Related]
9. Identification of differentially expressed genes induced by aberrant methylation in acute myeloid leukemia using integrated bioinformatics analyses.
Chen WW; Liu DB; Xiao HX; Zhou LJ; Qu J
Oncol Lett; 2022 Nov; 24(5):383. PubMed ID: 36238356
[TBL] [Abstract][Full Text] [Related]
10. Clinical significance and potential mechanism of heat shock factor 1 in acute myeloid leukemia.
Lyu C; Wang Q; Yin X; Li Z; Wang T; Wang Y; Cui S; Liu K; Wang Z; Gao C; Xu R
Aging (Albany NY); 2022 Sep; 14(17):7026-7037. PubMed ID: 36069792
[TBL] [Abstract][Full Text] [Related]
11. Comprehensive Analysis of
Gao Y; Li JY; Mao JY; Zhou JF; Jiang L; Li XP
Front Genet; 2022; 13():923568. PubMed ID: 35938037
[TBL] [Abstract][Full Text] [Related]
12. Bioinformatics Analysis Identifies EPAS1 as a Novel Prognostic Marker Correlated with Immune Infiltration in Acute Myeloid Leukemia.
Wang S; Zhang P
Dis Markers; 2023; 2023():6072782. PubMed ID: 37124944
[TBL] [Abstract][Full Text] [Related]
13. DNA methylation-based prognostic biomarkers of acute myeloid leukemia patients.
Hu L; Gao Y; Shi Z; Liu Y; Zhao J; Xiao Z; Lou J; Xu Q; Tong X
Ann Transl Med; 2019 Dec; 7(23):737. PubMed ID: 32042753
[TBL] [Abstract][Full Text] [Related]
14. The Multi-Omic Prognostic Model of Oxidative Stress-Related Genes in Acute Myeloid Leukemia.
Dong C; Zhang N; Zhang L
Front Genet; 2021; 12():722064. PubMed ID: 34659343
[No Abstract] [Full Text] [Related]
15.
Hu T; Zhang Y; Yang T; He Q; Zhao M
Front Genet; 2022; 13():795820. PubMed ID: 35360840
[No Abstract] [Full Text] [Related]
16. Identification of the key genes and microRNAs in adult acute myeloid leukemia with FLT3 mutation by bioinformatics analysis.
Chen S; Chen Y; Zhu Z; Tan H; Lu J; Qin P; Xu L
Int J Med Sci; 2020; 17(9):1269-1280. PubMed ID: 32547322
[No Abstract] [Full Text] [Related]
17. Systematic Construction and Validation of an RNA-Binding Protein-Associated Prognostic Model for Acute Myeloid Leukemia.
Luo H; Zhang Y; Hu N; He Y; He C
Front Genet; 2021; 12():715840. PubMed ID: 34630514
[No 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. High Expression of DC-STAMP Gene Predicts Adverse Outcomes in AML.
Liang Q; Zhang L; Wang W; Zhao J; Li Q; Pan H; Gao Z; Fang L; Shi J
Front Genet; 2022; 13():876689. PubMed ID: 35571050
[TBL] [Abstract][Full Text] [Related]
20. Investigation of distinct gene expression profile patterns that can improve the classification of intermediate-risk prognosis in AML patients.
Eshibona N; Livesey M; Christoffels A; Bendou H
Front Genet; 2023; 14():1131159. PubMed ID: 36865386
[No Abstract] [Full Text] [Related]
[Next] [New Search]