187 related articles for article (PubMed ID: 33592039)
1. CYP4B1 is a prognostic biomarker and potential therapeutic target in lung adenocarcinoma.
Liu X; Jia Y; Shi C; Kong D; Wu Y; Zhang T; Wei A; Wang D
PLoS One; 2021; 16(2):e0247020. PubMed ID: 33592039
[TBL] [Abstract][Full Text] [Related]
2. Aberrant S100A16 expression might be an independent prognostic indicator of unfavorable survival in non-small cell lung adenocarcinoma.
Chen D; Luo L; Liang C
PLoS One; 2018; 13(5):e0197402. PubMed ID: 29746588
[TBL] [Abstract][Full Text] [Related]
3. High
Xie L; Dang Y; Guo J; Sun X; Xie T; Zhang L; Yan Z; Amin H; Guo X
Genes (Basel); 2019 Jan; 10(1):. PubMed ID: 30634629
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Comprehensive analysis of TPX2-related ceRNA network as prognostic biomarkers in lung adenocarcinoma.
Huo C; Zhang MY; Li R; Zhou XJ; Liu TT; Li JP; Liu X; Qu YQ
Int J Med Sci; 2020; 17(16):2427-2439. PubMed ID: 33029085
[No Abstract] [Full Text] [Related]
6. Elevated PHD2 expression might serve as a valuable biomarker of poor prognosis in lung adenocarcinoma, but no lung squamous cell carcinoma.
Xu XL; Gong Y; Zhao DP
Eur Rev Med Pharmacol Sci; 2018 Dec; 22(24):8731-8739. PubMed ID: 30575913
[TBL] [Abstract][Full Text] [Related]
7. Overexpression of KIF18A promotes cell proliferation, inhibits apoptosis, and independently predicts unfavorable prognosis in lung adenocarcinoma.
Zhong Y; Jiang L; Lin H; Li X; Long X; Zhou Y; Li B; Li Z
IUBMB Life; 2019 Jul; 71(7):942-955. PubMed ID: 30817091
[TBL] [Abstract][Full Text] [Related]
8. A new prognostic model for
Li Q; Liu XL; Jiang N; Li QY; Song YX; Ke XX; Han H; Luo Q; Guo Q; Luo XY; Chen C
J Thorac Dis; 2023 Apr; 15(4):1919-1934. PubMed ID: 37197482
[TBL] [Abstract][Full Text] [Related]
9. Systematic identification of lincRNA-based prognostic biomarkers by integrating lincRNA expression and copy number variation in lung adenocarcinoma.
Wang L; Zhao H; Xu Y; Li J; Deng C; Deng Y; Bai J; Li X; Xiao Y; Zhang Y
Int J Cancer; 2019 Apr; 144(7):1723-1734. PubMed ID: 30226269
[TBL] [Abstract][Full Text] [Related]
10. Genome‑wide investigation of the clinical significance and prospective molecular mechanisms of kinesin family member genes in patients with lung adenocarcinoma.
Zhang L; Zhu G; Wang X; Liao X; Huang R; Huang C; Huang P; Zhang J; Wang P
Oncol Rep; 2019 Sep; 42(3):1017-1034. PubMed ID: 31322267
[TBL] [Abstract][Full Text] [Related]
11. Bioinformatic analysis revealing mitotic spindle assembly regulated NDC80 and MAD2L1 as prognostic biomarkers in non-small cell lung cancer development.
Wei R; Wang Z; Zhang Y; Wang B; Shen N; E L; Li X; Shang L; Shang Y; Yan W; Zhang X; Ma W; Wang C
BMC Med Genomics; 2020 Aug; 13(1):112. PubMed ID: 32795325
[TBL] [Abstract][Full Text] [Related]
12.
Yu J; Hou M; Pei T
DNA Cell Biol; 2020 May; 39(5):890-899. PubMed ID: 32282228
[TBL] [Abstract][Full Text] [Related]
13. The value of CEP55 gene as a diagnostic biomarker and independent prognostic factor in LUAD and LUSC.
Fu L; Wang H; Wei D; Wang B; Zhang C; Zhu T; Ma Z; Li Z; Wu Y; Yu G
PLoS One; 2020; 15(5):e0233283. PubMed ID: 32437446
[TBL] [Abstract][Full Text] [Related]
14. Systematic construction and validation of an immune prognostic model for lung adenocarcinoma.
Luo C; Lei M; Zhang Y; Zhang Q; Li L; Lian J; Liu S; Wang L; Pi G; Zhang Y
J Cell Mol Med; 2020 Jan; 24(2):1233-1244. PubMed ID: 31779055
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Role of endothelin receptor type B (EDNRB) in lung adenocarcinoma.
Wei F; Ge Y; Li W; Wang X; Chen B
Thorac Cancer; 2020 Jul; 11(7):1885-1890. PubMed ID: 32394530
[TBL] [Abstract][Full Text] [Related]
17. Increased GOLM1 Expression Independently Predicts Unfavorable Overall Survival and Recurrence-Free Survival in Lung Adenocarcinoma.
Liu X; Chen L; Zhang T
Cancer Control; 2018; 25(1):1073274818778001. PubMed ID: 29843532
[TBL] [Abstract][Full Text] [Related]
18. Prognostic Impact of
Guo W; Huai Q; Wan H; Guo L; Song P; Gao S; He J
DNA Cell Biol; 2021 Feb; 40(2):316-331. PubMed ID: 33493403
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]