162 related articles for article (PubMed ID: 35071597)
1. Identification of Molecular Biomarkers and Key Pathways for Esophageal Carcinoma (EsC): A Bioinformatics Approach.
Islam MR; Alam MK; Paul BK; Koundal D; Zaguia A; Ahmed K
Biomed Res Int; 2022; 2022():5908402. PubMed ID: 35071597
[TBL] [Abstract][Full Text] [Related]
2. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
Yu-Jing T; Wen-Jing T; Biao T
Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
[TBL] [Abstract][Full Text] [Related]
3. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.
Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP
World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912
[TBL] [Abstract][Full Text] [Related]
4. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
Han BA; Yang XP; Hosseini DK; Zhang P; Zhang Y; Yu JT; Chen S; Zhang F; Zhou T; Sun HY
Sci Rep; 2020 Jun; 10(1):9735. PubMed ID: 32546690
[TBL] [Abstract][Full Text] [Related]
5. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
Zhang H; Zhong J; Tu Y; Liu B; Chen Z; Luo Y; Tang Y; Xiao F; Zhong J
Biomed Res Int; 2019; 2019():2615921. PubMed ID: 31950035
[TBL] [Abstract][Full Text] [Related]
6. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
7. Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.
Zhong X; Huang G; Ma Q; Liao H; Liu C; Pu W; Xu L; Cai Y; Guo X
Medicine (Baltimore); 2019 Jul; 98(27):e16269. PubMed ID: 31277149
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
[TBL] [Abstract][Full Text] [Related]
10. Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.
Zhou R; Liu D; Zhu J; Zhang T
Medicine (Baltimore); 2020 Oct; 99(42):e22434. PubMed ID: 33080677
[TBL] [Abstract][Full Text] [Related]
11. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
Li J; Liu X; Cui Z; Han G
Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Screening and identification of key genes and pathways in metastatic uveal melanoma based on gene expression using bioinformatic analysis.
Xie J; Wu Z; Xu X; Liang G; Xu J
Medicine (Baltimore); 2020 Oct; 99(43):e22974. PubMed ID: 33120861
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
15. Ceruloplasmin overexpression is associated with oncogenic pathways and poorer survival rates in clear-cell renal cell carcinoma.
Zhang Y; Chen Z; Chen JG; Chen XF; Gu DH; Liu ZM; Gao YD; Zheng B
FEBS Open Bio; 2021 Nov; 11(11):2988-3004. PubMed ID: 34449964
[TBL] [Abstract][Full Text] [Related]
16. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
Hu S; Liao Y; Chen L
Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
17. Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell carcinoma.
Peng H; Wang S; Pang L; Yang L; Chen Y; Cui XB
Mol Omics; 2019 Feb; 15(1):88-100. PubMed ID: 30706927
[TBL] [Abstract][Full Text] [Related]
18. Integrated microarray analysis to identify potential biomarkers and therapeutic targets in dilated cardiomyopathy.
Zhang H; Huo J; Jiang W; Shan Q
Mol Med Rep; 2020 Aug; 22(2):915-925. PubMed ID: 32626989
[TBL] [Abstract][Full Text] [Related]
19. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Xu Z; Jiang P; He S
Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatics Analysis of Key Genes and Pathways Associated with Thrombosis in Essential Thrombocythemia.
Guo C; Li Z
Med Sci Monit; 2019 Dec; 25():9262-9271. PubMed ID: 31801935
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]