183 related articles for article (PubMed ID: 35635202)
1. Bioinformatics Identification of Key Genes for the Development and Prognosis of Lung Adenocarcinoma.
Luo X; Xu JG; Wang Z; Wang X; Zhu Q; Zhao J; Bian L
Inquiry; 2022; 59():469580221096259. PubMed ID: 35635202
[TBL] [Abstract][Full Text] [Related]
2. Interactive Verification Analysis of Multiple Sequencing Data for Identifying Potential Biomarker of Lung Adenocarcinoma.
Fei H; Chen S; Xu C
Biomed Res Int; 2020; 2020():8931419. PubMed ID: 33062704
[TBL] [Abstract][Full Text] [Related]
3. Identification of key genes associated with lung adenocarcinoma by bioinformatics analysis.
Wang X; Yang J; Gao X
Sci Prog; 2021; 104(1):36850421997276. PubMed ID: 33661044
[TBL] [Abstract][Full Text] [Related]
4. Weighted gene co-expression network analysis of hub genes in lung adenocarcinoma.
Luo X; Feng L; Xu W; Bai X; Wu M
Evol Bioinform Online; 2021; 17():11769343211009898. PubMed ID: 33911849
[TBL] [Abstract][Full Text] [Related]
5. Decreased HLF Expression Predicts Poor Survival in Lung Adenocarcinoma.
Wang Z; Li X; Chen H; Han L; Ji X; Wang Q; Wei L; Miao Y; Wang J; Mao J; Zhang Z
Med Sci Monit; 2021 May; 27():e929333. PubMed ID: 33979320
[TBL] [Abstract][Full Text] [Related]
6. Predictions of the dysregulated competing endogenous RNA signature involved in the progression of human lung adenocarcinoma.
Yang D; He Y; Wu B; Liu R; Wang N; Wang T; Luo Y; Li Y; Liu Y
Cancer Biomark; 2020; 29(3):399-416. PubMed ID: 32741804
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of VWF as a Novel Biomarker in Lung Adenocarcinoma by Comprehensive Analysis.
He Y; Liu R; Yang M; Bi W; Zhou L; Zhang S; Jin J; Liang X; Zhang P
Front Oncol; 2021; 11():639600. PubMed ID: 33968738
[TBL] [Abstract][Full Text] [Related]
9. Construction of an endoplasmic reticulum stress-related signature in lung adenocarcinoma by comprehensive bioinformatics analysis.
Wang Y; Nie J; Dai L; Hu W; Han S; Zhang J; Chen X; Ma X; Tian G; Wu D; Zhang Z; Long J; Fang J
BMC Pulm Med; 2023 May; 23(1):172. PubMed ID: 37189138
[TBL] [Abstract][Full Text] [Related]
10. Protein phosphatase 1 regulatory subunit 3G (PPP1R3G) correlates with poor prognosis and immune infiltration in lung adenocarcinoma.
Zhuo X; Chen L; Lai Z; Liu J; Li S; Hu A; Lin Y
Bioengineered; 2021 Dec; 12(1):8336-8346. PubMed ID: 34592886
[TBL] [Abstract][Full Text] [Related]
11. Microarray analysis of the expression profile of immune-related gene in rapid recurrence early-stage lung adenocarcinoma.
Liu J; Yang X; Zhang L; Yang B; Rao W; Li M; Dai N; Yang Y; Qian C; Zhang L; Xiao H; Wang D
J Cancer Res Clin Oncol; 2020 Sep; 146(9):2299-2310. PubMed ID: 32556504
[TBL] [Abstract][Full Text] [Related]
12. Construction of the optimization prognostic model based on differentially expressed immune genes of lung adenocarcinoma.
Zhai Y; Zhao B; Wang Y; Li L; Li J; Li X; Chang L; Chen Q; Liao Z
BMC Cancer; 2021 Mar; 21(1):213. PubMed ID: 33648465
[TBL] [Abstract][Full Text] [Related]
13. Identification of a Four-Gene Signature Associated with the Prognosis Prediction of Lung Adenocarcinoma Based on Integrated Bioinformatics Analysis.
Wu Y; Yang L; Zhang L; Zheng X; Xu H; Wang K; Weng X
Genes (Basel); 2022 Jan; 13(2):. PubMed ID: 35205284
[TBL] [Abstract][Full Text] [Related]
14. [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]
15. The High Expression of PTPRH Is Associated with Poor Prognosis of Human Lung Adenocarcinoma.
Chen A; Ding S; Shen X; Lin X
Comput Math Methods Med; 2021; 2021():9932088. PubMed ID: 34367321
[TBL] [Abstract][Full Text] [Related]
16. Identification and validation of a novel redox-related lncRNA prognostic signature in lung adenocarcinoma.
Ren J; Wang A; Liu J; Yuan Q
Bioengineered; 2021 Dec; 12(1):4331-4348. PubMed ID: 34338158
[TBL] [Abstract][Full Text] [Related]
17. Identification Six Metabolic Genes as Potential Biomarkers for Lung Adenocarcinoma.
Zhang S; Lu Y; Liu Z; Li X; Wang Z; Cai Z
J Comput Biol; 2020 Oct; 27(10):1532-1543. PubMed ID: 32298601
[TBL] [Abstract][Full Text] [Related]
18. AHNAK2 Is Associated with Poor Prognosis and Cell Migration in Lung Adenocarcinoma.
Zhang S; Lu Y; Qi L; Wang H; Wang Z; Cai Z
Biomed Res Int; 2020; 2020():8571932. PubMed ID: 32904605
[TBL] [Abstract][Full Text] [Related]
19. Nonnegative matrix factorization-based bioinformatics analysis reveals that TPX2 and SELENBP1 are two predictors of the inner sub-consensuses of lung adenocarcinoma.
Wang H; Wang X; Xu L; Cao H; Zhang J
Cancer Med; 2021 Dec; 10(24):9058-9077. PubMed ID: 34734491
[TBL] [Abstract][Full Text] [Related]
20. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
Li J; Liu X; Cui Z; Han G
Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
