132 related articles for article (PubMed ID: 36033826)
1. Clinical Value Screening, Prognostic Significance, and Key Gene Identification of TrkB in Laryngeal Carcinoma.
Zhang J; Hu X; Liu S; He Y; Lyu L; Jiang L
Dis Markers; 2022; 2022():1354005. PubMed ID: 36033826
[TBL] [Abstract][Full Text] [Related]
2. [Screening core genes and cyclin B2 as a potential diagnosis, treatment and prognostic biomarker of hepatocellular carcinoma based on bioinformatics analysis].
Yang SY; Ren H; Li CF; Tang H
Zhonghua Gan Zang Bing Za Zhi; 2020 Sep; 28(9):773-783. PubMed ID: 33053978
[No Abstract] [Full Text] [Related]
3. 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]
4. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. Screening and identification of potential biomarkers and therapeutic drugs in melanoma via integrated bioinformatics analysis.
Chen B; Sun D; Qin X; Gao XH
Invest New Drugs; 2021 Aug; 39(4):928-948. PubMed ID: 33501609
[TBL] [Abstract][Full Text] [Related]
9. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
Hu S; Liao Y; Chen L
Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
10. Identification of key genes and pathways involved in abdominal aortic aneurysm initiation and progression.
Su Z; Gu Y
Vascular; 2022 Aug; 30(4):639-649. PubMed ID: 34139912
[TBL] [Abstract][Full Text] [Related]
11. Identification of key microRNAs and genes associated with abdominal aortic aneurysm based on the gene expression profile.
Yang P; Cai Z; Wu K; Hu Y; Liu L; Liao M
Exp Physiol; 2020 Jan; 105(1):160-173. PubMed ID: 31553078
[TBL] [Abstract][Full Text] [Related]
12. Gene expression profiling of epithelial ovarian cancer reveals key genes and pathways associated with chemotherapy resistance.
Zhang M; Luo SC
Genet Mol Res; 2016 Jan; 15(1):. PubMed ID: 26909918
[TBL] [Abstract][Full Text] [Related]
13. Identification of six candidate genes for endometrial carcinoma by bioinformatics analysis.
Zhu Y; Shi L; Chen P; Zhang Y; Zhu T
World J Surg Oncol; 2020 Jul; 18(1):161. PubMed ID: 32641130
[TBL] [Abstract][Full Text] [Related]
14. Identification of key pathways and genes changes in pancreatic cancer cells (BXPC-3) after cross-talk with primary pancreatic stellate cells using bioinformatics analysis.
Tang D; Wu Q; Yuan Z; Xu J; Zhang H; Jin Z; Zhang Q; Xu M; Wang Z; Dai Z; Fang H; Li Z; Lin C; Shi C; Xu M; Sun X; Wang D
Neoplasma; 2019 Sep; 66(5):681-693. PubMed ID: 31169017
[TBL] [Abstract][Full Text] [Related]
15. Identification of Multiple Hub Genes and Pathways in Hepatocellular Carcinoma: A Bioinformatics Analysis.
Liu J; Han F; Ding J; Liang X; Liu J; Huang D; Zhang C
Biomed Res Int; 2021; 2021():8849415. PubMed ID: 34337056
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Using biological information to analyze potential miRNA-mRNA regulatory networks in the plasma of patients with non-small cell lung cancer.
Zhang W; Zhang Q; Che L; Xie Z; Cai X; Gong L; Li Z; Liu D; Liu S
BMC Cancer; 2022 Mar; 22(1):299. PubMed ID: 35313857
[TBL] [Abstract][Full Text] [Related]
18. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
Yu Y; Tian X
Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
[TBL] [Abstract][Full Text] [Related]
19. Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis.
Zhu HM; Fei Q; Qian LX; Liu BL; He X; Yin L
Oncol Lett; 2019 May; 17(5):4683-4694. PubMed ID: 30988824
[TBL] [Abstract][Full Text] [Related]
20. Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis.
Zhang L; Lu D; Liu M; Zhang M; Peng Q
Mol Med Rep; 2019 Sep; 20(3):2316-2324. PubMed ID: 31322209
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]