163 related articles for article (PubMed ID: 37868053)
21. Prediction of novel biomarkers for gastric intestinal metaplasia and gastric adenocarcinoma using bioinformatics analysis.
Eskandarion MR; Eskandarieh S; Shakoori Farahani A; Mahmoodzadeh H; Shahi F; Oghabian MA; Shirkoohi R
Heliyon; 2024 May; 10(9):e30253. PubMed ID: 38737262
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Comprehensive Analysis of a circRNA-miRNA-mRNA Network to Reveal Potential Inflammation-Related Targets for Gastric Adenocarcinoma.
Liu Y; Xu Y; Xiao F; Zhang J; Wang Y; Yao Y; Yang J
Mediators Inflamm; 2020; 2020():9435608. PubMed ID: 32801999
[TBL] [Abstract][Full Text] [Related]
24. Identification of Key Genes and Circular RNAs in Human Gastric Cancer.
Hao S; Lv J; Yang Q; Wang A; Li Z; Guo Y; Zhang G
Med Sci Monit; 2019 Apr; 25():2488-2504. PubMed ID: 30948703
[TBL] [Abstract][Full Text] [Related]
25. Screening key genes and biomarkers in gastrointestinal metaplasia that progress to gastric cancer by integrated bioinformatics analysis.
Pang L; Yan X; Su D
J Physiol Pharmacol; 2021 Dec; 72(6):. PubMed ID: 35485356
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Identification of key genes associated with poor prognosis and neoplasm staging in gastric cancer.
Wang S; Yang X; Liu C; Hu J; Yan M; Ding C; Fu Y
Medicine (Baltimore); 2023 Oct; 102(40):e35111. PubMed ID: 37800754
[TBL] [Abstract][Full Text] [Related]
28. Identification of Potential Diagnostic and Prognostic Biomarkers for Gastric Cancer Based on Bioinformatic Analysis.
Niu X; Ren L; Hu A; Zhang S; Qi H
Front Genet; 2022; 13():862105. PubMed ID: 35368700
[No Abstract] [Full Text] [Related]
29. Identification of Hub Genes Associated with Gastric Cancer via Bioinformatics Analysis and Validation Studies.
Zhao T; Chen Z; Liu W; Ju H; Li F
Int J Gen Med; 2023; 16():4835-4848. PubMed ID: 37908756
[TBL] [Abstract][Full Text] [Related]
30. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
31. 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]
32. A panel of collagen genes are associated with prognosis of patients with gastric cancer and regulated by microRNA-29c-3p: an integrated bioinformatics analysis and experimental validation.
Zhang QN; Zhu HL; Xia MT; Liao J; Huang XT; Xiao JW; Yuan C
Cancer Manag Res; 2019; 11():4757-4772. PubMed ID: 31213898
[No Abstract] [Full Text] [Related]
33. Collagen family genes and related genes might be associated with prognosis of patients with gastric cancer: an integrated bioinformatics analysis and experimental validation.
Weng K; Huang Y; Deng H; Wang R; Luo S; Wu H; Chen J; Long M; Hao W
Transl Cancer Res; 2020 Oct; 9(10):6246-6262. PubMed ID: 35117235
[TBL] [Abstract][Full Text] [Related]
34. Identification of significant genes associated with prognosis of gastric cancer by bioinformatics analysis.
Wang S; Tao S; Liu Y; Shi Y; Liu M
J Egypt Natl Canc Inst; 2022 Dec; 34(1):55. PubMed ID: 36567425
[TBL] [Abstract][Full Text] [Related]
35. S100A9 as a novel diagnostic and prognostic biomarker in human gastric cancer.
Zhao Z; Zhang C; Zhao Q
Scand J Gastroenterol; 2020 Mar; 55(3):338-346. PubMed ID: 32172630
[No Abstract] [Full Text] [Related]
36. Identification of candidate biomarkers associated with gastric cancer prognosis based on an integrated bioinformatics analysis.
Liu Y; Wang DX; Wan XJ; Meng XH
J Gastrointest Oncol; 2022 Aug; 13(4):1690-1700. PubMed ID: 36092336
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. The Analysis of Potential Diagnostic and Therapeutic Targets for the Occurrence and Development of Gastric Cancer Based on Bioinformatics.
Ding C; Zhang Q; Jiang X; Wei D; Xu S; Li Q; Wu M; Wang H
Comput Math Methods Med; 2022; 2022():4321466. PubMed ID: 35756405
[TBL] [Abstract][Full Text] [Related]
39. [Bioinformatics analysis of COL1A1 regulated by miR-129-5p as a potential therapeutic target for gastric cancer].
Yang W; Pan Y; Guan P; Li X; You C
Nan Fang Yi Ke Da Xue Xue Bao; 2019 May; 39(5):540-546. PubMed ID: 31140417
[TBL] [Abstract][Full Text] [Related]
40. Differentially expressed genes
Jiang K; Liu H; Xie D; Xiao Q
Oncol Lett; 2019 Mar; 17(3):3191-3202. PubMed ID: 30867749
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]