197 related articles for article (PubMed ID: 26870242)
1. Identification of key genes associated with gastric cancer based on DNA microarray data.
Sun H
Oncol Lett; 2016 Jan; 11(1):525-530. PubMed ID: 26870242
[TBL] [Abstract][Full Text] [Related]
2. 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]
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 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]
5. Identification of molecular characteristics induced by radiotherapy in rectal cancer based on microarray data.
Ge C; Wu M; Chen G; Yu G; Ji D; Wang S
Oncol Lett; 2017 Apr; 13(4):2777-2783. PubMed ID: 28454466
[TBL] [Abstract][Full Text] [Related]
6. Integrated bioinformatics analysis for exploring hub genes and related mechanisms affecting the progression of gastric cancer.
Wang Y; Li D; Li D; Wang H; Wu Y
Biotechnol Genet Eng Rev; 2023 May; ():1-12. PubMed ID: 37243583
[TBL] [Abstract][Full Text] [Related]
7. Comparative analysis of gene expression profiles of gastric cardia adenocarcinoma and gastric non-cardia adenocarcinoma.
Song B; Du J; Deng N; Ren JC; Shu ZB
Oncol Lett; 2016 Nov; 12(5):3866-3874. PubMed ID: 27895742
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Celecoxib exhibits an anti-gastric cancer effect by targeting focal adhesion and leukocyte transendothelial migration-associated genes.
Jin GH; Xu W; Shi Y; Wang LB
Oncol Lett; 2016 Oct; 12(4):2345-2350. PubMed ID: 27698798
[TBL] [Abstract][Full Text] [Related]
11. A systems biology approach to detect key pathways and interaction networks in gastric cancer on the basis of microarray analysis.
Guo L; Song C; Wang P; Dai L; Zhang J; Wang K
Mol Med Rep; 2015 Nov; 12(5):7139-45. PubMed ID: 26324226
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics analysis of key genes and latent pathway interactions based on the anaplastic thyroid carcinoma gene expression profile.
Huang Y; Tao Y; Li X; Chang S; Jiang B; Li F; Wang ZM
Oncol Lett; 2017 Jan; 13(1):167-176. PubMed ID: 28428828
[TBL] [Abstract][Full Text] [Related]
15. Identification of potential key genes in gastric cancer using bioinformatics analysis.
Wang W; He Y; Zhao Q; Zhao X; Li Z
Biomed Rep; 2020 Apr; 12(4):178-192. PubMed ID: 32190306
[TBL] [Abstract][Full Text] [Related]
16. Identifying multiple collagen gene family members as potential gastric cancer biomarkers using integrated bioinformatics analysis.
Li Z; Liu Z; Shao Z; Li C; Li Y; Liu Q; Zhang Y; Tan B; Liu Y
PeerJ; 2020; 8():e9123. PubMed ID: 32509452
[TBL] [Abstract][Full Text] [Related]
17. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
18. Identifying novel biomarkers of gastric cancer through integration analysis of single nucleotide polymorphisms and gene expression profile.
Wang T; Xu Y; Hou P
Int J Biol Markers; 2015 Jul; 30(3):e321-6. PubMed ID: 25982683
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Identification of candidate target genes of pituitary adenomas based on the DNA microarray.
Zhou W; Ma CX; Xing YZ; Yan ZY
Mol Med Rep; 2016 Mar; 13(3):2182-6. PubMed ID: 26782791
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
