287 related articles for article (PubMed ID: 37034228)
1. An in-silico approach leads to explore six genes as a molecular signatures of lung adenocarcinoma.
Abdel-Maksoud MA; Hassan F; Mubarik U; Mubarak A; Farrag MA; Alghamdi S; Atuahene SA; Almekhlafi S; Aufy M
Am J Cancer Res; 2023; 13(3):727-757. PubMed ID: 37034228
[TBL] [Abstract][Full Text] [Related]
2. Screening a novel six critical gene-based system of diagnostic and prognostic biomarkers in prostate adenocarcinoma patients with different clinical variables.
Munir H; Ahmad F; Ullah S; Almutairi SM; Asghar S; Siddique T; Abdel-Maksoud MA; Rasheed RA; Elkhamisy FAA; Aufy M; Yaz H
Am J Transl Res; 2022; 14(6):3658-3682. PubMed ID: 35836886
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Novel diagnostic and prognostic biomarkers of colorectal cancer: Capable to overcome the heterogeneity-specific barrier and valid for global applications.
Hameed Y; Usman M; Liang S; Ejaz S
PLoS One; 2021; 16(9):e0256020. PubMed ID: 34473751
[TBL] [Abstract][Full Text] [Related]
5. Integrative bioinformatics and RNA sequencing based methodology results in the exploration of breast invasive carcinoma biomarkers.
Zhu Q; Zhang L; Sadiq FM; Abdel-Maksoud MA; Almutairi SM; Al-Qahtani WH; Gul J; Jamil M; Fatima I; Zia S
Am J Transl Res; 2023; 15(5):3067-3091. PubMed ID: 37303632
[TBL] [Abstract][Full Text] [Related]
6. Identifying and Validating a Novel miRNA-mRNA Regulatory Network Associated with Prognosis in Lung Adenocarcinoma.
Xu WQ; Ye JJ; Chen TB
Chin Med Sci J; 2022 Mar; 37(1):31-43. PubMed ID: 35531948
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of the key miRNA-mRNA regulatory network in lung adenocarcinoma.
Xue F; You W; Liu Y; Zhong L
J Thorac Dis; 2023 Apr; 15(4):2037-2050. PubMed ID: 37197496
[TBL] [Abstract][Full Text] [Related]
9. Application of miRNA Biomarkers in Predicting Overall Survival Outcomes for Lung Adenocarcinoma.
Li T; Liu H; Dong C; Lyu J
Biomed Res Int; 2022; 2022():5249576. PubMed ID: 36147635
[TBL] [Abstract][Full Text] [Related]
10. Analysis of the Interaction Network of Hub miRNAs-Hub Genes, Being Involved in Idiopathic Pulmonary Fibers and Its Emerging Role in Non-small Cell Lung Cancer.
Yu DH; Ruan XL; Huang JY; Liu XP; Ma HL; Chen C; Hu WD; Li S
Front Genet; 2020; 11():302. PubMed ID: 32300359
[TBL] [Abstract][Full Text] [Related]
11. Co-expression network analysis identified KIF2C in association with progression and prognosis in lung adenocarcinoma.
Bai Y; Xiong L; Zhu M; Yang Z; Zhao J; Tang H
Cancer Biomark; 2019; 24(3):371-382. PubMed ID: 30883337
[TBL] [Abstract][Full Text] [Related]
12. Six MicroRNA Prognostic Models for Overall Survival of Lung Adenocarcinoma.
Li J; Gu X; Gao C; Zhang J
Genet Res (Camb); 2022; 2022():5955052. PubMed ID: 36101742
[TBL] [Abstract][Full Text] [Related]
13. Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma.
Shen Z; Liu S; Liu J; Liu J; Yao C
Front Genet; 2021; 12():756235. PubMed ID: 34868230
[TBL] [Abstract][Full Text] [Related]
14. Comprehensive analysis of miRNA-mRNA regulatory network and potential drugs in chronic chagasic cardiomyopathy across human and mouse.
Wu J; Cao J; Fan Y; Li C; Hu X
BMC Med Genomics; 2021 Nov; 14(1):283. PubMed ID: 34844599
[TBL] [Abstract][Full Text] [Related]
15. Exploring the Diagnostic and Prognostic Predictive Values of Ferroptosis- Related Markers in Lung Adenocarcinoma.
Mao G; Xu W; Jamil M; Zhang W; Jiao N; Liu Y
Curr Pharm Biotechnol; 2024 Mar; ():. PubMed ID: 38523537
[TBL] [Abstract][Full Text] [Related]
16. Integration of bioinformatics analysis and experimental validation identifies plasma exosomal miR-103b/877-5p/29c-5p as diagnostic biomarkers for early lung adenocarcinoma.
Wu J; Feng Z; Wang R; Li A; Wang H; He X; Shen Z
Cancer Med; 2022 Dec; 11(23):4411-4421. PubMed ID: 35585716
[TBL] [Abstract][Full Text] [Related]
17. Construction and comprehensive analysis of a ceRNA network to reveal potential prognostic biomarkers for lung adenocarcinoma.
Gao L; Zhang L
BMC Cancer; 2021 Jul; 21(1):849. PubMed ID: 34301211
[TBL] [Abstract][Full Text] [Related]
18. Integrative Analysis of Three Novel Competing Endogenous RNA Biomarkers with a Prognostic Value in Lung Adenocarcinoma.
Tan J; Wang W; Song B; Song Y; Meng Z
Biomed Res Int; 2020; 2020():2837906. PubMed ID: 32802839
[TBL] [Abstract][Full Text] [Related]
19. Construction and analysis of the ceRNA network
Yang Y; Zhang Y; Ding X; Ren Y; Wei B; Lin Z; Nie Y; Fan Y
Ann Transl Med; 2021 Dec; 9(24):1757. PubMed ID: 35071451
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
