118 related articles for article (PubMed ID: 38306567)
21. Independent Prognostic Potential of GNPNAT1 in Lung Adenocarcinoma.
Zheng X; Li Y; Ma C; Zhang J; Zhang Y; Fu Z; Luo H
Biomed Res Int; 2020; 2020():8851437. PubMed ID: 33178836
[TBL] [Abstract][Full Text] [Related]
22. Analysis of the role of METTL5 as a hub gene in lung adenocarcinoma based on a weighted gene co-expression network.
Yan X; Zhao X; Yan Q; Wang Y; Zhang C
Math Biosci Eng; 2021 Aug; 18(5):6608-6619. PubMed ID: 34517547
[TBL] [Abstract][Full Text] [Related]
23. Comprehensive Analysis of Aberrantly Expressed Profiles of lncRNAs and miRNAs with Associated ceRNA Network in Lung Adenocarcinoma and Lung Squamous Cell Carcinoma.
Dong R; Liu J; Sun W; Ping W
Pathol Oncol Res; 2020 Jul; 26(3):1935-1945. PubMed ID: 31898160
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. 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]
26. High Expression of
Deng H; Huang Y; Wang L; Chen M
Biomed Res Int; 2020; 2020():2071593. PubMed ID: 33134373
[TBL] [Abstract][Full Text] [Related]
27. Abnormal Expression and Prognostic Significance of Bone Morphogenetic Proteins and Their Receptors in Lung Adenocarcinoma.
Xu Z; Chen C
Biomed Res Int; 2021; 2021():6663990. PubMed ID: 34036102
[TBL] [Abstract][Full Text] [Related]
28. Identification key genes, key miRNAs and key transcription factors of lung adenocarcinoma.
Li J; Li Z; Zhao S; Song Y; Si L; Wang X
J Thorac Dis; 2020 May; 12(5):1917-1933. PubMed ID: 32642095
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. The construction and analysis of ceRNA network and patterns of immune infiltration in lung adenocarcinoma.
Li J; Liu W; Dong X; Dai Y; Chen S; Zhao E; Liu Y; Bao H
BMC Cancer; 2021 Nov; 21(1):1228. PubMed ID: 34781924
[TBL] [Abstract][Full Text] [Related]
31. Comprehensive Analysis and Validation of Competing Endogenous RNA Network and Tumor-infiltrating Immune Cells in Lung Adenocarcinoma.
Liu Y; Wu Q; Li J; Jia W; Zhai X; Yu J; Zhu H
Comb Chem High Throughput Screen; 2022; 25(13):2240-2254. PubMed ID: 35331104
[TBL] [Abstract][Full Text] [Related]
32. An integrated analysis of the competing endogenous RNA network associated of prognosis of stage I lung adenocarcinoma.
Xu Y; Lin G; Liu Y; Lin X; Lin H; Guo Z; Xu Y; Lin Q; Chen S; Yang J; Zeng Y
BMC Cancer; 2022 Feb; 22(1):188. PubMed ID: 35183135
[TBL] [Abstract][Full Text] [Related]
33. Identification and prognostic biomarkers among ZDHHC4/12/18/24, and APT2 in lung adenocarcinoma.
Bian J; Xiong W; Yang Z; Li M; Song D; Zhang Y; Liu C
Sci Rep; 2024 Jan; 14(1):522. PubMed ID: 38177255
[TBL] [Abstract][Full Text] [Related]
34. 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]
35. Identification of potential diagnostic and prognostic biomarkers for LUAD based on TCGA and GEO databases.
Zheng Q; Min S; Zhou Q
Biosci Rep; 2021 Jun; 41(6):. PubMed ID: 34017995
[TBL] [Abstract][Full Text] [Related]
36. Identification of a novel therapeutic candidate, NRK, in primary cancer-associated fibroblasts of lung adenocarcinoma microenvironment.
Wei T; Song J; Liang K; Li L; Mo X; Huang Z; Chen G; Mao N; Yang J
J Cancer Res Clin Oncol; 2021 Apr; 147(4):1049-1064. PubMed ID: 33387038
[TBL] [Abstract][Full Text] [Related]
37. Identification of a methylomics-associated nomogram for predicting overall survival of stage I-II lung adenocarcinoma.
Wang H; Wei C; Pan P; Yuan F; Cheng J
Sci Rep; 2021 May; 11(1):9938. PubMed ID: 33976305
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Combination of tumor mutation burden and immune infiltrates for the prognosis of lung adenocarcinoma.
Zhao Z; He B; Cai Q; Zhang P; Peng X; Zhang Y; Xie H; Wang X
Int Immunopharmacol; 2021 Sep; 98():107807. PubMed ID: 34175739
[TBL] [Abstract][Full Text] [Related]
40. 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]
[Previous] [Next] [New Search]
