147 related articles for article (PubMed ID: 31423239)
1. Five genes may predict metastasis in non-small cell lung cancer using bioinformatics analysis.
Sun R; Meng X; Wang W; Liu B; Lv X; Yuan J; Zeng L; Chen Y; Yuan B; Yang S
Oncol Lett; 2019 Aug; 18(2):1723-1732. PubMed ID: 31423239
[TBL] [Abstract][Full Text] [Related]
2. Identification of key genes and evaluation of clinical outcomes in lung squamous cell carcinoma using integrated bioinformatics analysis.
Shi Y; Li Y; Yan C; Su H; Ying K
Oncol Lett; 2019 Dec; 18(6):5859-5870. PubMed ID: 31788059
[TBL] [Abstract][Full Text] [Related]
3. Exploration of estrogen receptor-associated hub genes and potential molecular mechanisms in non-smoking females with lung adenocarcinoma using integrated bioinformatics analysis.
Wang H; Zhang Z; Xu K; Wei S; Li L; Wang L
Oncol Lett; 2019 Nov; 18(5):4605-4612. PubMed ID: 31611968
[TBL] [Abstract][Full Text] [Related]
4. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
5. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
6. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
Yu Y; Tian X
Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
[TBL] [Abstract][Full Text] [Related]
7. Use of four genes in exosomes as biomarkers for the identification of lung adenocarcinoma and lung squamous cell carcinoma.
Cao B; Wang P; Gu L; Liu J
Oncol Lett; 2021 Apr; 21(4):249. PubMed ID: 33664813
[TBL] [Abstract][Full Text] [Related]
8. Identification of key biomarkers and potential molecular mechanisms in lung cancer by bioinformatics analysis.
Li Z; Sang M; Tian Z; Liu Z; Lv J; Zhang F; Shan B
Oncol Lett; 2019 Nov; 18(5):4429-4440. PubMed ID: 31611952
[TBL] [Abstract][Full Text] [Related]
9. Target gene screening and evaluation of prognostic values in non-small cell lung cancers by bioinformatics analysis.
Piao J; Sun J; Yang Y; Jin T; Chen L; Lin Z
Gene; 2018 Mar; 647():306-311. PubMed ID: 29305979
[TBL] [Abstract][Full Text] [Related]
10. Screening and identification of key biomarkers in lung squamous cell carcinoma by bioinformatics analysis.
Man J; Zhang X; Dong H; Li S; Yu X; Meng L; Gu X; Yan H; Cui J; Lai Y
Oncol Lett; 2019 Nov; 18(5):5185-5196. PubMed ID: 31612029
[TBL] [Abstract][Full Text] [Related]
11. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
12. Integrated analysis of dysregulated long non-coding RNAs/microRNAs/mRNAs in metastasis of lung adenocarcinoma.
Li L; Peng M; Xue W; Fan Z; Wang T; Lian J; Zhai Y; Lian W; Qin D; Zhao J
J Transl Med; 2018 Dec; 16(1):372. PubMed ID: 30587197
[TBL] [Abstract][Full Text] [Related]
13. Identification of potential diagnostic and therapeutic target genes for lung squamous cell carcinoma.
Zhang N; Wang H; Xie Q; Cao H; Wu F; Di Wu DB; Wan Y
Oncol Lett; 2019 Jul; 18(1):169-180. PubMed ID: 31289486
[TBL] [Abstract][Full Text] [Related]
14. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
[TBL] [Abstract][Full Text] [Related]
15. Clinical value of microRNA-198-5p downregulation in lung adenocarcinoma and its potential pathways.
Wang SS; Fang YY; Huang JC; Liang YY; Guo YN; Pan LJ; Chen G
Oncol Lett; 2019 Sep; 18(3):2939-2954. PubMed ID: 31402959
[TBL] [Abstract][Full Text] [Related]
16. Identification of key differentially expressed mRNAs and microRNAs in non-small cell lung cancer using bioinformatics analysis.
Wang W; Wang S; Pan L
Exp Ther Med; 2020 Oct; 20(4):3720-3732. PubMed ID: 32855723
[TBL] [Abstract][Full Text] [Related]
17. Identification of genes and analysis of prognostic values in nonsmoking females with non-small cell lung carcinoma by bioinformatics analyses.
Yang G; Chen Q; Xiao J; Zhang H; Wang Z; Lin X
Cancer Manag Res; 2018; 10():4287-4295. PubMed ID: 30349363
[TBL] [Abstract][Full Text] [Related]
18. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
Li F; Guo P; Dong K; Guo P; Wang H; Lv X
J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
[No Abstract] [Full Text] [Related]
19. Identification of hub genes associated with esophageal cancer progression using bioinformatics analysis.
Li J; Xie Y; Wang X; Jiang C; Yuan X; Zhang A; Yang L; Liu C; Zou H; Li F; Hu J
Oncol Lett; 2020 Nov; 20(5):214. PubMed ID: 32963620
[TBL] [Abstract][Full Text] [Related]
20. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
Fang E; Zhang X
Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
