193 related articles for article (PubMed ID: 38482057)
1. A hypoxia-related genes prognostic risk model, and mechanisms of hypoxia contributing to poor prognosis through immune microenvironment and drug resistance in acute myeloid leukemia.
Liu X; Wang L; Kang Q; Feng C; Wang J
Front Pharmacol; 2024; 15():1339465. PubMed ID: 38482057
[No Abstract] [Full Text] [Related]
2. 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]
3. m6A genotypes and prognostic signature for assessing the prognosis of patients with acute myeloid leukemia.
Fu C; Kou R; Meng J; Jiang D; Zhong R; Dong M
BMC Med Genomics; 2023 Aug; 16(1):191. PubMed ID: 37596597
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Establishment of Prognosis Model in Acute Myeloid Leukemia Based on Hypoxia Microenvironment, and Exploration of Hypoxia-Related Mechanisms.
Zhong J; Wu H; Bu X; Li W; Cai S; Du M; Gao Y; Ping B
Front Genet; 2021; 12():727392. PubMed ID: 34777463
[TBL] [Abstract][Full Text] [Related]
6. A prognostic model based on prognosis-related ferroptosis genes for patients with acute myeloid leukemia.
Wu F; Xu G; Li G; Yin Z; Shen H; Ye K; Zhu Y; Zhang Q; Ou R; Liu S
Front Mol Biosci; 2023; 10():1281141. PubMed ID: 38161382
[No Abstract] [Full Text] [Related]
7. 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]
8. 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]
9. Identification of a Mitochondria-Related Gene Signature to Predict the Prognosis in AML.
Jiang N; Zhang X; Chen Q; Kantawong F; Wan S; Liu J; Li H; Zhou J; Lu B; Wu J
Front Oncol; 2022; 12():823831. PubMed ID: 35359394
[TBL] [Abstract][Full Text] [Related]
10. Identification of a glycolysis- and lactate-related gene signature for predicting prognosis, immune microenvironment, and drug candidates in colon adenocarcinoma.
Liu C; Liu D; Wang F; Xie J; Liu Y; Wang H; Rong J; Xie J; Wang J; Zeng R; Zhou F; Peng J; Xie Y
Front Cell Dev Biol; 2022; 10():971992. PubMed ID: 36081904
[No Abstract] [Full Text] [Related]
11. 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]
12. Characterizing the key genes of COVID-19 that regulate tumor immune microenvironment and prognosis in hepatocellular carcinoma.
Gao S; Zhang L; Wang H
Funct Integr Genomics; 2023 Aug; 23(3):262. PubMed ID: 37540264
[TBL] [Abstract][Full Text] [Related]
13. Identification and validation of a siglec-based and aging-related 9-gene signature for predicting prognosis in acute myeloid leukemia patients.
Shi H; Gao L; Zhang W; Jiang M
BMC Bioinformatics; 2022 Jul; 23(1):284. PubMed ID: 35854240
[TBL] [Abstract][Full Text] [Related]
14. An Intratumor Heterogeneity-Related Signature for Predicting Prognosis, Immune Landscape, and Chemotherapy Response in Colon Adenocarcinoma.
Liu C; Liu D; Wang F; Xie J; Liu Y; Wang H; Rong J; Xie J; Wang J; Zeng R; Zhou F; Xie Y
Front Med (Lausanne); 2022; 9():925661. PubMed ID: 35872794
[TBL] [Abstract][Full Text] [Related]
15. N6-Methyladenosine-Related lncRNAs Are Novel Prognostic Markers and Predict the Immune Landscape in Acute Myeloid Leukemia.
Zhang L; Ke W; Hu P; Li Z; Geng W; Guo Y; Song B; Jiang H; Zhang X; Wan C
Front Genet; 2022; 13():804614. PubMed ID: 35615374
[No Abstract] [Full Text] [Related]
16. Effects of immune inflammation in head and neck squamous cell carcinoma: Tumor microenvironment, drug resistance, and clinical outcomes.
Zhu L; Wang Y; Yuan X; Ma Y; Zhang T; Zhou F; Yu G
Front Genet; 2022; 13():1085700. PubMed ID: 36579330
[No Abstract] [Full Text] [Related]
17. Development and Validation of an Inflammatory Response-Related Gene Signature for Predicting the Prognosis of Pancreatic Adenocarcinoma.
Deng ZL; Zhou DZ; Cao SJ; Li Q; Zhang JF; Xie H
Inflammation; 2022 Aug; 45(4):1732-1751. PubMed ID: 35322324
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. A Novel Hypoxia-Related Gene Signature with Strong Predicting Ability in Non-Small-Cell Lung Cancer Identified by Comprehensive Profiling.
Yang H; Wang Z; Gong L; Huang G; Chen D; Li X; Du F; Lin J; Yang X
Int J Genomics; 2022; 2022():8594658. PubMed ID: 35634481
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
