332 related articles for article (PubMed ID: 31638362)
1. Identification of hub genes correlated with the pathogenesis and prognosis of gastric cancer via bioinformatics methods.
Nie K; Shi L; Wen Y; Pan J; Li P; Zheng Z; Liu F
Minerva Med; 2020 Jun; 111(3):213-225. PubMed ID: 31638362
[TBL] [Abstract][Full Text] [Related]
2. FN1, SPARC, and SERPINE1 are highly expressed and significantly related to a poor prognosis of gastric adenocarcinoma revealed by microarray and bioinformatics.
Li L; Zhu Z; Zhao Y; Zhang Q; Wu X; Miao B; Cao J; Fei S
Sci Rep; 2019 May; 9(1):7827. PubMed ID: 31127138
[TBL] [Abstract][Full Text] [Related]
3. Bioinformatics analysis identifies COL1A1, THBS2 and SPP1 as potential predictors of patient prognosis and immunotherapy response in gastric cancer.
Wang Y; Zheng K; Chen X; Chen R; Zou Y
Biosci Rep; 2021 Jan; 41(1):. PubMed ID: 33345281
[TBL] [Abstract][Full Text] [Related]
4. Weighted correlation network analysis identifies FN1, COL1A1 and SERPINE1 associated with the progression and prognosis of gastric cancer.
Zhao Q; Xie J; Xie J; Zhao R; Song C; Wang H; Rong J; Yan L; Song Y; Wang F; Xie Y
Cancer Biomark; 2021; 31(1):59-75. PubMed ID: 33780362
[TBL] [Abstract][Full Text] [Related]
5. Identification of Key Genes and Signaling Pathways Associated with the Progression of Gastric Cancer.
Yu C; Chen J; Ma J; Zang L; Dong F; Sun J; Zheng M
Pathol Oncol Res; 2020 Jul; 26(3):1903-1919. PubMed ID: 31848941
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Identification of Potential Biomarkers Associated with Prognosis in Gastric Cancer via Bioinformatics Analysis.
Li D; Yin Y; He M; Wang J
Med Sci Monit; 2021 Feb; 27():e929104. PubMed ID: 33582701
[TBL] [Abstract][Full Text] [Related]
8. Identification of hub genes with prognostic values in gastric cancer by bioinformatics analysis.
Li T; Gao X; Han L; Yu J; Li H
World J Surg Oncol; 2018 Jun; 16(1):114. PubMed ID: 29921304
[TBL] [Abstract][Full Text] [Related]
9. Identification of Hub Genes and Pathways in Gastric Adenocarcinoma Based on Bioinformatics Analysis.
Qiu J; Sun M; Wang Y; Chen B
Med Sci Monit; 2020 Feb; 26():e920261. PubMed ID: 32058995
[TBL] [Abstract][Full Text] [Related]
10. Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis.
Abdolahi F; Shahraki A; Sheervalilou R; Mortazavi SS
BMC Med Genomics; 2023 Dec; 16(1):311. PubMed ID: 38041130
[TBL] [Abstract][Full Text] [Related]
11. Identification of novel biomarkers, MUC5AC, MUC1, KRT7, GAPDH, CD44 for gastric cancer.
Yang J
Med Oncol; 2020 Mar; 37(5):34. PubMed ID: 32219571
[TBL] [Abstract][Full Text] [Related]
12. High expression of ghrelin and obestatin prepropeptide in tumor tissues predicted adverse overall survival in gastric carcinoma patients.
Wu X; Wu Y; Ye B; Wu F; Wang P
Medicine (Baltimore); 2020 Jun; 99(26):e20635. PubMed ID: 32590738
[TBL] [Abstract][Full Text] [Related]
13. Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics.
Li M; Wang X; Liu J; Mao X; Li D; Wang Z; Tang Y; Wu S
Biomed Res Int; 2020; 2020():8859826. PubMed ID: 33381592
[TBL] [Abstract][Full Text] [Related]
14. Identification and Analysis of Key Genes Driving Gastric Cancer Through Bioinformatics.
Liu Z; Liu S; Guo J; Sun L; Wang S; Wang Y; Qiu W; Lv J
Genet Test Mol Biomarkers; 2021 Jan; 25(1):1-11. PubMed ID: 33470887
[No Abstract] [Full Text] [Related]
15. 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]
16. Identification of pivotal genes associated with the prognosis of gastric carcinoma through integrated analysis.
Ma Z; Xu J; Ru L; Zhu W
Biosci Rep; 2021 Apr; 41(4):. PubMed ID: 33754626
[TBL] [Abstract][Full Text] [Related]
17. Combined bioinformatics technology to explore pivot genes and related clinical prognosis in the development of gastric cancer.
Xu J; Wang X; Ke Q; Liao K; Wan Y; Zhang K; Zhang G; Wang X
Sci Rep; 2021 Jul; 11(1):15412. PubMed ID: 34326374
[TBL] [Abstract][Full Text] [Related]
18. Investigation of the Underlying Genes and Mechanism of Macrophage-Enriched Ruptured Atherosclerotic Plaques Using Bioinformatics Method.
Wang H; Liu D; Zhang H
J Atheroscler Thromb; 2019 Jul; 26(7):636-658. PubMed ID: 30643084
[TBL] [Abstract][Full Text] [Related]
19. Identification of potential core genes in gastric cancer using bioinformatics analysis.
Shao C; Wang R; Kong D; Gao Q; Xu C
J Gastrointest Oncol; 2021 Oct; 12(5):2109-2122. PubMed ID: 34790378
[TBL] [Abstract][Full Text] [Related]
20. Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.
Zheng MJ; Li X; Hu YX; Dong H; Gou R; Nie X; Liu Q; Ying-Ying H; Liu JJ; Lin B
J Cell Physiol; 2019 Jul; 234(7):11023-11036. PubMed ID: 30633343
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]