239 related articles for article (PubMed ID: 30353687)
21. Identification of prognostic values of the transcription factor-CpG-gene triplets in lung adenocarcinoma: A narrative review.
Lian D; Lian L; Zeng D; Zhang M; Chen M; Liu Y; Ying W; Zhou S
Medicine (Baltimore); 2022 Dec; 101(50):e32045. PubMed ID: 36550923
[TBL] [Abstract][Full Text] [Related]
22. KRT8 and KRT19, associated with EMT, are hypomethylated and overexpressed in lung adenocarcinoma and link to unfavorable prognosis.
Wang W; He J; Lu H; Kong Q; Lin S
Biosci Rep; 2020 Jul; 40(7):. PubMed ID: 32519739
[TBL] [Abstract][Full Text] [Related]
23. USP4 expression independently predicts favorable survival in lung adenocarcinoma.
Zhong M; Jiang Q; Jin R
IUBMB Life; 2018 Jul; 70(7):670-677. PubMed ID: 29667299
[TBL] [Abstract][Full Text] [Related]
24. Molecular subtypes based on DNA promoter methylation predict prognosis in lung adenocarcinoma patients.
Shi S; Xu M; Xi Y
Aging (Albany NY); 2020 Nov; 12(23):23917-23930. PubMed ID: 33237038
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Identification of a novel prognostic DNA methylation signature for lung adenocarcinoma based on consensus clustering method.
Cai Q; He B; Xie H; Zhang P; Peng X; Zhang Y; Zhao Z; Wang X
Cancer Med; 2020 Oct; 9(20):7488-7502. PubMed ID: 32860318
[TBL] [Abstract][Full Text] [Related]
27. DNA methylation biomarkers for the occurrence of lung adenocarcinoma from TCGA data mining.
Zhu XF; Zhu BS; Wu FM; Hu HB
J Cell Physiol; 2018 Oct; 233(10):6777-6784. PubMed ID: 29667778
[TBL] [Abstract][Full Text] [Related]
28. EGLN2 DNA methylation and expression interact with HIF1A to affect survival of early-stage NSCLC.
Zhang R; Lai L; He J; Chen C; You D; Duan W; Dong X; Zhu Y; Lin L; Shen S; Guo Y; Su L; Shafer A; Moran S; Fleischer T; Bjaanæs MM; Karlsson A; Planck M; Staaf J; Helland Å; Esteller M; Wei Y; Chen F; Christiani DC
Epigenetics; 2019 Feb; 14(2):118-129. PubMed ID: 30665327
[TBL] [Abstract][Full Text] [Related]
29. Comprehensive Analysis of DNA Methylation and Gene Expression Datasets Identified MMP9 and TWIST1 as Important Pathogenic Genes of Lung Adenocarcinoma.
Tian W; Li YS; Zhang JH; Li JJ; Gao JH
DNA Cell Biol; 2018 Apr; 37(4):336-346. PubMed ID: 29443542
[TBL] [Abstract][Full Text] [Related]
30. Epigenetic profiling and mRNA expression reveal candidate genes as biomarkers for colorectal cancer.
Zhang H; Dong S; Feng J
J Cell Biochem; 2019 Jun; 120(6):10767-10776. PubMed ID: 30672027
[TBL] [Abstract][Full Text] [Related]
31. Investigating the correlation between DNA methylation and immune‑associated genes of lung adenocarcinoma based on a competing endogenous RNA network.
Chang C; Kong W; Mou X; Wang S
Mol Med Rep; 2020 Oct; 22(4):3173-3182. PubMed ID: 32945447
[TBL] [Abstract][Full Text] [Related]
32. NF-YA Overexpression in Lung Cancer: LUAD.
Bezzecchi E; Ronzio M; Semeghini V; Andrioletti V; Mantovani R; Dolfini D
Genes (Basel); 2020 Feb; 11(2):. PubMed ID: 32075093
[TBL] [Abstract][Full Text] [Related]
33. A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.
Li Y; Ge D; Gu J; Xu F; Zhu Q; Lu C
BMC Cancer; 2019 Sep; 19(1):886. PubMed ID: 31488089
[TBL] [Abstract][Full Text] [Related]
34. Multi-platform analysis of methylation-regulated genes in human lung adenocarcinoma.
Wang J; Yu XF; OUYang N; Luo QL; Zhao SY; Guan XF; Chen T; Li JX
J Toxicol Environ Health A; 2019; 82(1):37-45. PubMed ID: 30626254
[TBL] [Abstract][Full Text] [Related]
35. Identification of Prognostic DNA Methylation Signatures in Lung Adenocarcinoma.
Wang P; Xu G; Gao E; Xu Y; Liang L; Jiang G; Duan L
Oxid Med Cell Longev; 2022; 2022():8802303. PubMed ID: 35814273
[TBL] [Abstract][Full Text] [Related]
36. Multi-omics analysis reveals epigenetically regulated processes and patient classification in lung adenocarcinoma.
Brativnyk A; Ankill J; Helland Å; Fleischer T
Int J Cancer; 2024 Jul; 155(2):282-297. PubMed ID: 38489486
[TBL] [Abstract][Full Text] [Related]
37. Overexpression of GSDMC is a prognostic factor for predicting a poor outcome in lung adenocarcinoma.
Wei J; Xu Z; Chen X; Wang X; Zeng S; Qian L; Yang X; Ou C; Lin W; Gong Z; Yan Y
Mol Med Rep; 2020 Jan; 21(1):360-370. PubMed ID: 31939622
[TBL] [Abstract][Full Text] [Related]
38. Potential Genes Associated with the Survival of Lung Adenocarcinoma Were Identified by Methylation.
Shen Z; He C; Chen H; Xiao L; Jin Y; Huang S
Comput Math Methods Med; 2020; 2020():7103412. PubMed ID: 34007304
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Methylation- and homologous recombination deficiency-related mutant genes predict the prognosis of lung adenocarcinoma.
Nie GJ; Liu J; Zou AM; Zhan SF; Liang JK; Sui Y; Chen YN; Yao WS
J Clin Lab Anal; 2022 Apr; 36(4):e24277. PubMed ID: 35238419
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
