186 related articles for article (PubMed ID: 37056815)
1. Estimation of hub genes and exploration of multi-omics level alterations in the landscape of lung adenocarcinoma.
Li G; Atiq W; Hashmi MF; Ibrahim SS; Al Abdulsalam KA; Kadham MJ; Al-Azzawi AKJ; Aufy M; Abdel-Maksoud MA
Am J Transl Res; 2023; 15(3):1550-1568. PubMed ID: 37056815
[TBL] [Abstract][Full Text] [Related]
2. Deciphering cervical cancer-associated biomarkers by integrated multi-omics approach.
Li X; Abdel-Maksoud MA; Iqbal I; Mubarak A; Farrag MA; Haris M; Alghamdi S; Ain QU; Almekhlafi S
Am J Transl Res; 2022; 14(12):8843-8861. PubMed ID: 36628250
[TBL] [Abstract][Full Text] [Related]
3. Integrated bioinformatics analysis of microarray data from the GEO database to identify the candidate genes linked to poor prognosis in lung adenocarcinoma.
Liu X; Li L; Xie X; Zhuang D; Hu C
Technol Health Care; 2023; 31(2):579-592. PubMed ID: 36336945
[TBL] [Abstract][Full Text] [Related]
4. Identification of hub genes associated with head and neck squamous cell carcinoma by integrated bioinformatics approach and RNA-seq validation analysis.
Shabeer A; Mustafa S; Bukhari RS; Abdel-Maksoud MA; Almutairi SM; Al-Qahtani WH; Chandio K; Khan NY; Gul J; Aufy M
Am J Cancer Res; 2023; 13(4):1259-1277. PubMed ID: 37168331
[TBL] [Abstract][Full Text] [Related]
5. Identification of crucial genes associated with lung adenocarcinoma by bioinformatic analysis.
Dai JJ; Zhou WB; Wang B
Medicine (Baltimore); 2020 Oct; 99(44):e23052. PubMed ID: 33126397
[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. The identification of key biomarkers in patients with lung adenocarcinoma based on bioinformatics.
Ni KW; Sun GZ
Math Biosci Eng; 2019 Aug; 16(6):7671-7687. PubMed ID: 31698633
[TBL] [Abstract][Full Text] [Related]
8. Identification of key genes and biological pathways in lung adenocarcinoma by integrated bioinformatics analysis.
Zhang L; Liu Y; Zhuang JG; Guo J; Li YT; Dong Y; Song G
World J Clin Cases; 2023 Aug; 11(23):5504-5518. PubMed ID: 37637684
[TBL] [Abstract][Full Text] [Related]
9. Identification of potential key molecular biomarkers in lung adenocarcinoma by bioinformatics analysis.
Guo P; Xu T; Jiang Y; Shen W
Transl Cancer Res; 2022 Jan; 11(1):227-241. PubMed ID: 35261899
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Exploring the mechanism of 6-Methoxydihydrosanguinarine in the treatment of lung adenocarcinoma based on network pharmacology, molecular docking and experimental investigation.
Liu X; Ren Y; Qin S; Yang Z
BMC Complement Med Ther; 2024 May; 24(1):202. PubMed ID: 38783288
[TBL] [Abstract][Full Text] [Related]
13. The discovery of promising candidate biomarkers in kidney renal clear cell carcinoma: evidence from the in-depth analysis of high-throughput data.
Li X; Li M; Zhao T; Zhang J
Am J Cancer Res; 2023; 13(9):4288-4304. PubMed ID: 37818073
[TBL] [Abstract][Full Text] [Related]
14. Comprehensively analyzing the genetic alterations, and identifying key genes in ovarian cancer.
Tang Q; Atiq W; Mahnoor S; Abdel-Maksoud MA; Aufy M; Yaz H; Zhu J
Oncol Res; 2023; 31(2):141-156. PubMed ID: 37304238
[TBL] [Abstract][Full Text] [Related]
15. An integrated analysis of prognostic and immune infiltrates for hub genes as potential survival indicators in patients with lung adenocarcinoma.
Xu Z; Wang S; Ren Z; Gao X; Xu L; Zhang S; Ren B
World J Surg Oncol; 2022 Mar; 20(1):99. PubMed ID: 35354488
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Bioinformatics analysis of microarray data to identify the candidate biomarkers of lung adenocarcinoma.
Guo T; Ma H; Zhou Y
PeerJ; 2019; 7():e7313. PubMed ID: 31333911
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Predictions of the dysregulated competing endogenous RNA signature involved in the progression of human lung adenocarcinoma.
Yang D; He Y; Wu B; Liu R; Wang N; Wang T; Luo Y; Li Y; Liu Y
Cancer Biomark; 2020; 29(3):399-416. PubMed ID: 32741804
[TBL] [Abstract][Full Text] [Related]
20. Epigenetic Alterations of DNA Methylation and miRNA Contribution to Lung Adenocarcinoma.
Cai W; Jing M; Wen J; Guo H; Xue Z
Front Genet; 2022; 13():817552. PubMed ID: 35711943
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]