140 related articles for article (PubMed ID: 31069993)
1. Bioinformatics analysis suggests that COL4A1 may play an important role in gastric carcinoma recurrence.
Li F; Wang NN; Chang X; Wang SL; Wang LS; Yao J; Li ZS; Bai Y
J Dig Dis; 2019 Aug; 20(8):391-400. PubMed ID: 31069993
[TBL] [Abstract][Full Text] [Related]
2. Identifying Diagnostic and Prognostic Differentially Expressed Genes of Gastric Cancer Based on Bioinformatics Analyses of RNA-seq Data.
Wang M; Jiang X; Xu S; Deng Y; Cao T; Cheng Y; Zhang WH; Zhang L; Hu J
Genet Test Mol Biomarkers; 2022 Nov; 26(11):512-521. PubMed ID: 36383109
[No Abstract] [Full Text] [Related]
3. 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]
4. 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]
5. Identification of core genes and clinical outcomes in tumors originated from endoderm (gastric cancer and lung carcinoma) via bioinformatics analysis.
Shi Y; Chang D; Li W; Zhao F; Ren X; Hou B
Medicine (Baltimore); 2021 Mar; 100(12):e25154. PubMed ID: 33761685
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Identification of Potential Biomarkers Involved in Gastric Cancer Through Integrated Analysis of Non-Coding RNA Associated Competing Endogenous RNAs Network.
Xing C; Cai Z; Gong J; Zhou J; Xu J; Guo F
Clin Lab; 2018 Oct; 64(10):1661-1669. PubMed ID: 30336538
[TBL] [Abstract][Full Text] [Related]
8. Identification of COL4A1 as a potential gene conferring trastuzumab resistance in gastric cancer based on bioinformatics analysis.
Huang R; Gu W; Sun B; Gao L
Mol Med Rep; 2018 May; 17(5):6387-6396. PubMed ID: 29512712
[TBL] [Abstract][Full Text] [Related]
9. Genome-Scale Analysis Identified NID2, SPARC, and MFAP2 as Prognosis Markers of Overall Survival in Gastric Cancer.
Shan Z; Wang W; Tong Y; Zhang J
Med Sci Monit; 2021 Mar; 27():e929558. PubMed ID: 33758160
[TBL] [Abstract][Full Text] [Related]
10. THBS4 predicts poor outcomes and promotes proliferation and metastasis in gastric cancer.
Chen X; Huang Y; Wang Y; Wu Q; Hong S; Huang Z
J Physiol Biochem; 2019 Feb; 75(1):117-123. PubMed ID: 30746617
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Identification of Potentially Functional CircRNA-miRNA-mRNA Regulatory Network in Gastric Carcinoma using Bioinformatics Analysis.
Yang G; Zhang Y; Yang J
Med Sci Monit; 2019 Nov; 25():8777-8796. PubMed ID: 31747387
[TBL] [Abstract][Full Text] [Related]
13. Chemo-resistant Gastric Cancer Associated Gene Expression Signature: Bioinformatics Analysis Based on Gene Expression Omnibus.
Liu JB; Jian T; Yue C; Chen D; Chen W; Bao TT; Liu HX; Cao Y; Li WB; Yang Z; Hoffman RM; Yu C
Anticancer Res; 2019 Apr; 39(4):1689-1698. PubMed ID: 30952707
[TBL] [Abstract][Full Text] [Related]
14. Analysis of Collagen type X alpha 1 (COL10A1) expression and prognostic significance in gastric cancer based on bioinformatics.
Chen S; Wei Y; Liu H; Gong Y; Zhou Y; Yang H; Tang L
Bioengineered; 2021 Dec; 12(1):127-137. PubMed ID: 33371777
[TBL] [Abstract][Full Text] [Related]
15. Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients.
Zhang C; Zhang CD; Ma MH; Dai DQ
World J Gastroenterol; 2018 Mar; 24(11):1206-1215. PubMed ID: 29568201
[TBL] [Abstract][Full Text] [Related]
16. Combinations of gene ontology and pathway characterize and predict prognosis genes for recurrence of gastric cancer after surgery.
Fan H; Guo Z; Wang C
DNA Cell Biol; 2015 Sep; 34(9):579-87. PubMed ID: 26154702
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Correlation of hK6 expression with tumor recurrence and prognosis in advanced gastric cancer.
Liu X; Xiong H; Li J; He Y; Yuan X
Diagn Pathol; 2013 Apr; 8():62. PubMed ID: 23587030
[TBL] [Abstract][Full Text] [Related]
19. Association of miR-193b down-regulation and miR-196a up-regulation with clinicopathological features and prognosis in gastric cancer.
Mu YP; Tang S; Sun WJ; Gao WM; Wang M; Su XL
Asian Pac J Cancer Prev; 2014; 15(20):8893-900. PubMed ID: 25374225
[TBL] [Abstract][Full Text] [Related]
20. Circular RNAs play an important role in late-stage gastric cancer: Circular RNA expression profiles and bioinformatics analyses.
Fang Y; Ma M; Wang J; Liu X; Wang Y
Tumour Biol; 2017 Jun; 39(6):1010428317705850. PubMed ID: 28639908
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]