272 related articles for article (PubMed ID: 34951053)
21. Development and validation of a novel epigenetic-related prognostic signature and candidate drugs for patients with lung adenocarcinoma.
Wang Z; Embaye KS; Yang Q; Qin L; Zhang C; Liu L; Zhan X; Zhang F; Wang X; Qin S
Aging (Albany NY); 2021 Jul; 13(14):18701-18717. PubMed ID: 34285141
[TBL] [Abstract][Full Text] [Related]
22. Searching for a signature involving 10 genes to predict the survival of patients with acute myelocytic leukemia through a combined multi-omics analysis.
Zhuang H; Chen Y; Sheng X; Hong L; Gao R; Zhuang X
PeerJ; 2020; 8():e9437. PubMed ID: 32617195
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Identification of an immune signature predicting prognosis risk of patients in lung adenocarcinoma.
Song Q; Shang J; Yang Z; Zhang L; Zhang C; Chen J; Wu X
J Transl Med; 2019 Mar; 17(1):70. PubMed ID: 30832680
[TBL] [Abstract][Full Text] [Related]
25. Establishment and validation of individualized clinical prognostic markers for LUAD patients based on autophagy-related genes.
Fei Y; Xu J; Ge L; Chen L; Yu H; Pan L; Chen P
Aging (Albany NY); 2022 Sep; 14(18):7328-7347. PubMed ID: 36178365
[TBL] [Abstract][Full Text] [Related]
26. Development and Validation of a Seven-Gene Signature for Predicting the Prognosis of Lung Adenocarcinoma.
Zhang Y; Zhang X; Lv X; Zhang M; Gao X; Liu J; Xu Y; Fang Z; Chen W
Biomed Res Int; 2020; 2020():1836542. PubMed ID: 33195688
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Comprehensive analysis of prognostic biomarkers in lung adenocarcinoma based on aberrant lncRNA-miRNA-mRNA networks and Cox regression models.
Yao Y; Zhang T; Qi L; Liu R; Liu G; Wang J; Song Q; Sun C
Biosci Rep; 2020 Jan; 40(1):. PubMed ID: 31950990
[TBL] [Abstract][Full Text] [Related]
29. A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.
Jiang H; Xu S; Chen C
BMC Cancer; 2020 Aug; 20(1):782. PubMed ID: 32819300
[TBL] [Abstract][Full Text] [Related]
30. Prognostic value of SEC61G in lung adenocarcinoma: a comprehensive study based on bioinformatics and in vitro validation.
Zheng Q; Wang Z; Zhang M; Yu Y; Chen R; Lu T; Liu L; Ma J; Liu T; Zheng H; Li H; Li J
BMC Cancer; 2021 Nov; 21(1):1216. PubMed ID: 34774014
[TBL] [Abstract][Full Text] [Related]
31. Signatures of Multi-Omics Reveal Distinct Tumor Immune Microenvironment Contributing to Immunotherapy in Lung Adenocarcinoma.
Huang Z; Li B; Guo Y; Wu L; Kou F; Yang L
Front Immunol; 2021; 12():723172. PubMed ID: 34539658
[TBL] [Abstract][Full Text] [Related]
32. Potential Prognostic Biomarkers of Lung Adenocarcinoma Based on Bioinformatic Analysis.
Hou J; Yao C
Biomed Res Int; 2021; 2021():8859996. PubMed ID: 33511215
[TBL] [Abstract][Full Text] [Related]
33. A novel ferroptosis-related gene signature for prognostic prediction of patients with lung adenocarcinoma.
Jin J; Liu C; Yu S; Cai L; Sitrakiniaina A; Gu R; Li W; Wu F; Xue X
Aging (Albany NY); 2021 Jun; 13(12):16144-16164. PubMed ID: 34115610
[TBL] [Abstract][Full Text] [Related]
34. Development and validation of a nomogram with an epigenetic signature for predicting survival in patients with lung adenocarcinoma.
Wang J; He L; Tang Y; Li D; Yang Y; Zeng Z
Aging (Albany NY); 2020 Nov; 12(22):23200-23216. PubMed ID: 33221751
[TBL] [Abstract][Full Text] [Related]
35. A ferroptosis-related gene signature predicts overall survival in patients with lung adenocarcinoma.
Gao X; Tang M; Tian S; Li J; Liu W
Future Oncol; 2021 Apr; 17(12):1533-1544. PubMed ID: 33432837
[TBL] [Abstract][Full Text] [Related]
36. Prognostic model of lung adenocarcinoma constructed by the CENPA complex genes is closely related to immune infiltration.
Zhou H; Bian T; Qian L; Zhao C; Zhang W; Zheng M; Zhou H; Liu L; Sun H; Li X; Zhang J; Liu Y
Pathol Res Pract; 2021 Dec; 228():153680. PubMed ID: 34798483
[TBL] [Abstract][Full Text] [Related]
37. Synergistic Effects of Different Levels of Genomic Data for the Staging of Lung Adenocarcinoma: An Illustrative Study.
Li Y; Mansmann U; Du S; Hornung R
Genes (Basel); 2021 Nov; 12(12):. PubMed ID: 34946821
[TBL] [Abstract][Full Text] [Related]
38. Identification of a four-gene panel predicting overall survival for lung adenocarcinoma.
Li C; Long Q; Zhang D; Li J; Zhang X
BMC Cancer; 2020 Dec; 20(1):1198. PubMed ID: 33287749
[TBL] [Abstract][Full Text] [Related]
39. Identification and Validation of Prognostically Relevant Gene Signature in Melanoma.
Gao Y; Li Y; Niu X; Wu Y; Guan X; Hong Y; Chen H; Song B
Biomed Res Int; 2020; 2020():5323614. PubMed ID: 32462000
[TBL] [Abstract][Full Text] [Related]
40. Profiles of immune infiltration in lung adenocarcinoma and their clinical significant: A gene-expression-based retrospective study.
Chen G; Dong Z; Wu D; Chen Y
J Cell Biochem; 2020 Nov; 121(11):4431-4439. PubMed ID: 32003059
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]