189 related articles for article (PubMed ID: 33273853)
1. Bioinformatics Analysis and Validation Identify CDK1 and MAD2L1 as Prognostic Markers of Rhabdomyosarcoma.
Lu S; Sun C; Chen H; Zhang C; Li W; Wu L; Zhu J; Sun F; Huang J; Wang J; Zhen Z; Cai R; Sun X; Zhang Y; Zhang X
Cancer Manag Res; 2020; 12():12123-12136. PubMed ID: 33273853
[TBL] [Abstract][Full Text] [Related]
2. Bioinformatics prediction and experimental verification identify MAD2L1 and CCNB2 as diagnostic biomarkers of rhabdomyosarcoma.
Xia T; Meng L; Zhao Z; Li Y; Wen H; Sun H; Zhang T; Wei J; Li F; Liu C
Cancer Cell Int; 2021 Nov; 21(1):634. PubMed ID: 34838000
[TBL] [Abstract][Full Text] [Related]
3. CDK1 and CCNB1 as potential diagnostic markers of rhabdomyosarcoma: validation following bioinformatics analysis.
Li Q; Zhang L; Jiang J; Zhang Y; Wang X; Zhang Q; Wang Y; Liu C; Li F
BMC Med Genomics; 2019 Dec; 12(1):198. PubMed ID: 31870357
[TBL] [Abstract][Full Text] [Related]
4. Prognostic and predictive values of CDK1 and MAD2L1 in lung adenocarcinoma.
Shi YX; Zhu T; Zou T; Zhuo W; Chen YX; Huang MS; Zheng W; Wang CJ; Li X; Mao XY; Zhang W; Zhou HH; Yin JY; Liu ZQ
Oncotarget; 2016 Dec; 7(51):85235-85243. PubMed ID: 27835911
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Identification of hub genes and pathways in adrenocortical carcinoma by integrated bioinformatic analysis.
Guo J; Gu Y; Ma X; Zhang L; Li H; Yan Z; Han Y; Xie L; Guo X
J Cell Mol Med; 2020 Apr; 24(8):4428-4438. PubMed ID: 32147961
[TBL] [Abstract][Full Text] [Related]
7. MAD2L1 Functions As a Novel Diagnostic and Predictive Biomarker in Cholangiocarcinoma.
Gao Y; Liu Y; Sun L; Ouyang X; Zhu C; Qin X
Genet Test Mol Biomarkers; 2021 Nov; 25(11):685-695. PubMed ID: 34788140
[No Abstract] [Full Text] [Related]
8. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
Yu C; Chen F; Jiang J; Zhang H; Zhou M
Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
[TBL] [Abstract][Full Text] [Related]
9. Identification of Potential Crucial Genes and Key Pathways in Breast Cancer Using Bioinformatic Analysis.
Deng JL; Xu YH; Wang G
Front Genet; 2019; 10():695. PubMed ID: 31428132
[No Abstract] [Full Text] [Related]
10. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
11. Identification of Key Genes and Prognostic Value Analysis in Hepatocellular Carcinoma by Integrated Bioinformatics Analysis.
Wang M; Wang L; Wu S; Zhou D; Wang X
Int J Genomics; 2019; 2019():3518378. PubMed ID: 31886163
[TBL] [Abstract][Full Text] [Related]
12. [Clinical and prognostic analysis of single-center multidisciplinary treatment for rhabdomyosarcoma in children].
Xu N; Duan C; Jin M; Zhang DW; Su Y; Yu T; He LJ; Fu LB; Zeng Q; Wang HM; Zhang WP; Ni X; Ma XL
Zhonghua Er Ke Za Zhi; 2019 Oct; 57(10):767-773. PubMed ID: 31594063
[No Abstract] [Full Text] [Related]
13. Identification of
Qin S; Yang Y; Zhang HB; Zheng XH; Li HR; Wen J
Transl Cancer Res; 2021 Jan; 10(1):469-478. PubMed ID: 35116276
[TBL] [Abstract][Full Text] [Related]
14. CDK1, CCNB1, CDC20, BUB1, MAD2L1, MCM3, BUB1B, MCM2, and RFC4 May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic Analysis.
Yang WX; Pan YY; You CG
Biomed Res Int; 2019; 2019():1245072. PubMed ID: 31737652
[TBL] [Abstract][Full Text] [Related]
15. Identification of biomarkers associated with synovitis in rheumatoid arthritis by bioinformatics analyses.
Li Z; Xu M; Li R; Zhu Z; Liu Y; Du Z; Zhang G; Song Y
Biosci Rep; 2020 Sep; 40(9):. PubMed ID: 32840301
[TBL] [Abstract][Full Text] [Related]
16. Identification of potential therapeutic targets for colorectal cancer by bioinformatics analysis.
Yan M; Song M; Bai R; Cheng S; Yan W
Oncol Lett; 2016 Dec; 12(6):5092-5098. PubMed ID: 28105216
[TBL] [Abstract][Full Text] [Related]
17. [Screening of differentially expressed genes for colorectal cancer and prediction of potential traditional Chinese medicine: based on bioinformatics].
Yun ZJ; Wang HJ; Yu YX; Sun ZY; Yao SK
Zhongguo Zhong Yao Za Zhi; 2022 Mar; 47(6):1666-1676. PubMed ID: 35347966
[TBL] [Abstract][Full Text] [Related]
18. Hsa-mir-3163 and CCNB1 may be potential biomarkers and therapeutic targets for androgen receptor positive triple-negative breast cancer.
Qiu P; Guo Q; Yao Q; Chen J; Lin J
PLoS One; 2021; 16(11):e0254283. PubMed ID: 34797837
[TBL] [Abstract][Full Text] [Related]
19. Identifying hub genes and dysregulated pathways in hepatocellular carcinoma.
Jin B; Wang W; Du G; Huang GZ; Han LT; Tang ZY; Fan DG; Li J; Zhang SZ
Eur Rev Med Pharmacol Sci; 2015 Feb; 19(4):592-601. PubMed ID: 25753876
[TBL] [Abstract][Full Text] [Related]
20. Identifying of biomarkers associated with gastric cancer based on 11 topological analysis methods of CytoHubba.
Ma H; He Z; Chen J; Zhang X; Song P
Sci Rep; 2021 Jan; 11(1):1331. PubMed ID: 33446695
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]