109 related articles for article (PubMed ID: 38212294)
1. Construction of a Lung Adenocarcinoma Prognostic Model Utilizing Serine and Glycine Metabolism-Related Genes.
Qi D; Liu C; Zhang Z; Liu X; Kang P
J Proteome Res; 2024 Feb; 23(2):797-808. PubMed ID: 38212294
[TBL] [Abstract][Full Text] [Related]
2. Prognosis and immunotherapy significances of a cancer-associated fibroblasts-related gene signature in lung adenocarcinoma.
Luo Y; Zhang S; Xie H; Su Q; He S; Lei Z
Cell Mol Biol (Noisy-le-grand); 2023 Dec; 69(14):51-61. PubMed ID: 38279482
[TBL] [Abstract][Full Text] [Related]
3. Leveraging diverse cell-death patterns to predict the clinical outcome of immune checkpoint therapy in lung adenocarcinoma: Based on muti-omics analysis and vitro assay.
Liang H; Li Y; Qu Y; Zhang L
Oncol Res; 2023; 32(2):393-407. PubMed ID: 38186574
[TBL] [Abstract][Full Text] [Related]
4. [Construction and Validation of Prognostic Risk Score Model of Autophagy Related Genes in Lung Adenocarcinoma].
Zhou J; Wang X; Li Z; Jiang R
Zhongguo Fei Ai Za Zhi; 2021 Aug; 24(8):557-566. PubMed ID: 34256900
[TBL] [Abstract][Full Text] [Related]
5. Development and validation of polyamines metabolism-associated gene signatures to predict prognosis and immunotherapy response in lung adenocarcinoma.
Wang N; Chai M; Zhu L; Liu J; Yu C; Huang X
Front Immunol; 2023; 14():1070953. PubMed ID: 37334367
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of a robust immune-related prognostic signature in early-stage lung adenocarcinoma.
Wu P; Zheng Y; Wang Y; Wang Y; Liang N
J Transl Med; 2020 Oct; 18(1):380. PubMed ID: 33028329
[TBL] [Abstract][Full Text] [Related]
7. Construction and validation of a prognostic model for lung adenocarcinoma based on endoplasmic reticulum stress-related genes.
Li F; Niu Y; Zhao W; Yan C; Qi Y
Sci Rep; 2022 Nov; 12(1):19857. PubMed ID: 36400857
[TBL] [Abstract][Full Text] [Related]
8. Prognostic Value and Genome Signature of m6A/m5C Regulated Genes in Early-Stage Lung Adenocarcinoma.
Tian L; Wang Y; Tian J; Song W; Li L; Che G
Int J Mol Sci; 2023 Mar; 24(7):. PubMed ID: 37047493
[TBL] [Abstract][Full Text] [Related]
9. Characteristic of molecular subtypes in lung adenocarcinoma based on m6A RNA methylation modification and immune microenvironment.
Zhou H; Zheng M; Shi M; Wang J; Huang Z; Zhang H; Zhou Y; Shi J
BMC Cancer; 2021 Aug; 21(1):938. PubMed ID: 34416861
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. A novel ferroptosis-related genes model for prognosis prediction of lung adenocarcinoma.
Li F; Ge D; Sun SL
BMC Pulm Med; 2021 Jul; 21(1):229. PubMed ID: 34256754
[TBL] [Abstract][Full Text] [Related]
12. A prognostic signature for lung adenocarcinoma by five genes associated with chemotherapy in lung adenocarcinoma.
Li X; Xu C; Min Y; Zhai Z; Zhu Y
Clin Respir J; 2023 Dec; 17(12):1349-1360. PubMed ID: 38071755
[TBL] [Abstract][Full Text] [Related]
13. Prediction of prognostic and immune therapy response in lung adenocarcinoma based on MHC-I-related genes.
Xu H; Hu Y; Peng X; Chen E
Immunopharmacol Immunotoxicol; 2024 Feb; 46(1):93-106. PubMed ID: 37728543
[TBL] [Abstract][Full Text] [Related]
14. Comprehensive analysis of a novel signature incorporating lipid metabolism and immune-related genes for assessing prognosis and immune landscape in lung adenocarcinoma.
Wang Y; Xu J; Fang Y; Gu J; Zhao F; Tang Y; Xu R; Zhang B; Wu J; Fang Z; Li Y
Front Immunol; 2022; 13():950001. PubMed ID: 36091041
[TBL] [Abstract][Full Text] [Related]
15. Identification of four metabolic subtypes and key prognostic markers in lung adenocarcinoma based on glycolytic and glutaminolytic pathways.
Zhang J; Wang X; Song C; Li Q
BMC Cancer; 2023 Feb; 23(1):152. PubMed ID: 36782138
[TBL] [Abstract][Full Text] [Related]
16. Molecular subtypes of lung adenocarcinoma patients for prognosis and therapeutic response prediction with machine learning on 13 programmed cell death patterns.
Wei Q; Jiang X; Miao X; Zhang Y; Chen F; Zhang P
J Cancer Res Clin Oncol; 2023 Oct; 149(13):11351-11368. PubMed ID: 37378675
[TBL] [Abstract][Full Text] [Related]
17. Molecular subtyping for lung adenocarcinoma and a novel prognostic model based on ligand-receptor pairs.
Li D; Ma X; Ou S
Adv Med Sci; 2022 Sep; 67(2):316-327. PubMed ID: 36054998
[TBL] [Abstract][Full Text] [Related]
18. Six CT83-related Genes-based Prognostic Signature for Lung Adenocarcinoma.
Wang Y; Zhang G; Wang R
Comb Chem High Throughput Screen; 2022; 25(9):1565-1575. PubMed ID: 34259140
[TBL] [Abstract][Full Text] [Related]
19. Construction and validation of a novel prognostic model of neutrophil‑related genes signature of lung adenocarcinoma.
Zhu Q; Chai Y; Jin L; Ma Y; Lu H; Chen Y; Feng W
Sci Rep; 2023 Oct; 13(1):18226. PubMed ID: 37880277
[TBL] [Abstract][Full Text] [Related]
20. [Construction of Lung Adenocarcinoma Prognosis Model and Drug Sensitivity Analysis Based on Cuproptosis Related Genes].
Sun J; Zhang H; Liu H; Dong Y; Wang P
Zhongguo Fei Ai Za Zhi; 2023 Aug; 26(8):591-604. PubMed ID: 37752539
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
