196 related articles for article (PubMed ID: 38610959)
1. Identification of Key Genes Associated with Tumor Microenvironment Infiltration and Survival in Gastric Adenocarcinoma via Bioinformatics Analysis.
Konstantis G; Tsaousi G; Pourzitaki C; Kasper-Virchow S; Zaun G; Kitsikidou E; Passenberg M; Tseriotis VS; Willuweit K; Schmidt HH; Rashidi-Alavijeh J
Cancers (Basel); 2024 Mar; 16(7):. PubMed ID: 38610959
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatics Analysis of Hub Genes and Potential Therapeutic Agents Associated with Gastric Cancer.
Zhang S; Xiang X; Liu L; Yang H; Cen D; Tang G
Cancer Manag Res; 2021; 13():8929-8951. PubMed ID: 34876855
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Identification of Immune Infiltration in Odontogenic Keratocyst by Integrated Bioinformatics Analysis.
Zhong NN; Li SR; Man QW; Liu B
BMC Oral Health; 2023 Jul; 23(1):454. PubMed ID: 37415178
[TBL] [Abstract][Full Text] [Related]
6. Identification of survival-associated biomarkers based on three datasets by bioinformatics analysis in gastric cancer.
Yin LK; Yuan HY; Liu JJ; Xu XL; Wang W; Bai XY; Wang P
World J Clin Cases; 2023 Jul; 11(20):4763-4787. PubMed ID: 37584004
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis.
Cao L; Chen Y; Zhang M; Xu DQ; Liu Y; Liu T; Liu SX; Wang P
PeerJ; 2018; 6():e5180. PubMed ID: 30002985
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. Identification of key biomarkers and potential signaling pathway associated with poor progression of gastric cancer.
Hu Y; Hu Z; Ding H; Li Y; Zhao X; Shao M; Pan Y
Transl Cancer Res; 2020 Sep; 9(9):5459-5472. PubMed ID: 35117911
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics Analysis and Identification of Potential Genes Associated with Pathogenesis and Prognosis of Gastric Cancer.
Wang DW; Su F; Yang LJ; Shi LW; Yang TC; Wang HQ; Li XF; Feng MH
Curr Med Sci; 2022 Apr; 42(2):357-372. PubMed ID: 35325407
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Bioinformatic analysis of hub markers and immune cell infiltration characteristics of gastric cancer.
Li C; Yang T; Yuan Y; Wen R; Yu H
Front Immunol; 2023; 14():1202529. PubMed ID: 37359529
[TBL] [Abstract][Full Text] [Related]
16. Identifying
Ding J; Liu Y; Lai Y
PeerJ; 2020; 8():e10419. PubMed ID: 33282565
[TBL] [Abstract][Full Text] [Related]
17. Screening and validating the core biomarkers in patients with pancreatic ductal adenocarcinoma.
Li Y; Zhu YY; Dai GP; Wu DJ; Gao ZZ; Zhang L; Fan YH
Math Biosci Eng; 2019 Nov; 17(1):910-927. PubMed ID: 31731384
[TBL] [Abstract][Full Text] [Related]
18. 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]
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 cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.
Wang J; Qin D; Tao Z; Wang B; Xie Y; Wang Y; Li B; Cao J; Qiao X; Zhong S; Hu X
Front Immunol; 2022; 13():1056932. PubMed ID: 36479114
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
