207 related articles for article (PubMed ID: 33542925)
1. Identification of Genes Universally Differentially Expressed in Gastric Cancer.
Shi Y; Qi L; Chen H; Zhang J; Guan Q; He J; Li M; Guo Z; Yan H; Li P
Biomed Res Int; 2021; 2021():7326853. PubMed ID: 33542925
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Bioinformatics Analysis of Key Genes and circRNA-miRNA-mRNA Regulatory Network in Gastric Cancer.
Tian Y; Xing Y; Zhang Z; Peng R; Zhang L; Sun Y
Biomed Res Int; 2020; 2020():2862701. PubMed ID: 32908877
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Identification of significant biomarkers and pathways associated with gastric carcinogenesis by whole genome-wide expression profiling analysis.
Fei HJ; Chen SC; Zhang JY; Li SY; Zhang LL; Chen YY; Chang CX; Xu CM
Int J Oncol; 2018 Mar; 52(3):955-966. PubMed ID: 29328368
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Integrated Analysis of DNA Copy Number Changes and Gene Expression Identifies Key Genes in Gastric Cancer.
Feng Y; Shi C; Wang D; Wang X; Chen Z
J Comput Biol; 2020 Jun; 27(6):877-887. PubMed ID: 31545074
[TBL] [Abstract][Full Text] [Related]
10. Bioinformatics-Based Identification of Methylated-Differentially Expressed Genes and Related Pathways in Gastric Cancer.
Li H; Liu JW; Liu S; Yuan Y; Sun LP
Dig Dis Sci; 2017 Nov; 62(11):3029-3039. PubMed ID: 28914394
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Identification of potential key genes associated with osteosarcoma based on integrated bioinformatics analyses.
Hu G; Cheng Z; Wu Z; Wang H
J Cell Biochem; 2019 Aug; 120(8):13554-13561. PubMed ID: 30920023
[TBL] [Abstract][Full Text] [Related]
13. Integrative analysis of epigenomics, transcriptomics, and proteomics to identify key targets and pathways of Weining granule for gastric cancer.
Liang MK; Liang XQ; Zhong J; Wei YT; Lian ZP; Huang ZK; Liang J
J Ethnopharmacol; 2021 Apr; 270():113787. PubMed ID: 33422657
[TBL] [Abstract][Full Text] [Related]
14. Identification of biomarkers for diagnosis of gastric cancer by bioinformatics.
Wang DG; Chen G; Wen XY; Wang D; Cheng ZH; Sun SQ
Asian Pac J Cancer Prev; 2015; 16(4):1361-5. PubMed ID: 25743799
[TBL] [Abstract][Full Text] [Related]
15. Prognosis genes in gastric adenocarcinoma identified by cross talk genes in disease‑related pathways.
Zhao L; Lei H; Shen L; Tang J; Wang Z; Bai W; Zhang F; Wang S; Li W
Mol Med Rep; 2017 Aug; 16(2):1232-1240. PubMed ID: 28586067
[TBL] [Abstract][Full Text] [Related]
16. Bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse‑type gastric cancer.
Li S; Yu C; Cheng Y; Du F; Wen G
Mol Med Rep; 2021 Mar; 23(3):. PubMed ID: 33495829
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Key Genes Associated with Prognosis and Tumor Infiltrating Immune Cells in Gastric Cancer Patients Identified by Cross-Database Analysis.
Zhang T; Wang BF; Wang XY; Xiang L; Zheng P; Li HY; Tao PX; Wang DF; Gu BH; Chen H
Cancer Biother Radiopharm; 2020 Nov; 35(9):696-710. PubMed ID: 32401038
[No Abstract] [Full Text] [Related]
20. 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]
[Next] [New Search]
