160 related articles for article (PubMed ID: 35002325)
1. Prognostic Significance of CCNB2 Expression in Triple-Negative Breast Cancer.
Cao J; Sun S; Min R; Li R; Fan X; Han Y; Feng Z; Li N
Cancer Manag Res; 2021; 13():9477-9487. PubMed ID: 35002325
[TBL] [Abstract][Full Text] [Related]
2. Identification of potential core genes in triple negative breast cancer using bioinformatics analysis.
Li MX; Jin LT; Wang TJ; Feng YJ; Pan CP; Zhao DM; Shao J
Onco Targets Ther; 2018; 11():4105-4112. PubMed ID: 30140156
[TBL] [Abstract][Full Text] [Related]
3. Identification of potential oncogenes in triple-negative breast cancer based on bioinformatics analyses.
Xiao X; Zhang Z; Luo R; Peng R; Sun Y; Wang J; Chen X
Oncol Lett; 2021 May; 21(5):363. PubMed ID: 33747220
[TBL] [Abstract][Full Text] [Related]
4. Novel biomarkers identified in triple-negative breast cancer through RNA-sequencing.
Chen YL; Wang K; Xie F; Zhuo ZL; Liu C; Yang Y; Wang S; Zhao XT
Clin Chim Acta; 2022 Jun; 531():302-308. PubMed ID: 35504321
[TBL] [Abstract][Full Text] [Related]
5. [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]
6. Identification of key genes as potential biomarkers for triple‑negative breast cancer using integrating genomics analysis.
Zhong G; Lou W; Shen Q; Yu K; Zheng Y
Mol Med Rep; 2020 Feb; 21(2):557-566. PubMed ID: 31974598
[TBL] [Abstract][Full Text] [Related]
7. Integrated bioinformatic analysis of potential biomarkers of poor prognosis in triple-negative breast cancer.
Bissanum R; Kamolphiwong R; Navakanitworakul R; Kanokwiroon K
Transl Cancer Res; 2022 Sep; 11(9):3039-3049. PubMed ID: 36237261
[TBL] [Abstract][Full Text] [Related]
8. Screening of DNA Damage Repair Genes Involved in the Prognosis of Triple-Negative Breast Cancer Patients Based on Bioinformatics.
Wang N; Gu Y; Chi J; Liu X; Xiong Y; Zhong C; Wang F; Wang X; Li L
Front Genet; 2021; 12():721873. PubMed ID: 34408776
[No Abstract] [Full Text] [Related]
9. Bioinformatics Analysis Identifies IL6ST as a Potential Tumor Suppressor Gene for Triple-Negative Breast Cancer.
Jia R; Weng Y; Li Z; Liang W; Ji Y; Liang Y; Ning P
Reprod Sci; 2021 Aug; 28(8):2331-2341. PubMed ID: 33650093
[TBL] [Abstract][Full Text] [Related]
10. Identification of CXCR4 and CXCL10 as Potential Predictive Biomarkers in Triple Negative Breast Cancer (TNBC).
Chuan T; Li T; Yi C
Med Sci Monit; 2020 Jan; 26():e918281. PubMed ID: 31924747
[TBL] [Abstract][Full Text] [Related]
11. Identification of Potential Key Genes Associated With the Pathogenesis, Metastasis, and Prognosis of Triple-Negative Breast Cancer on the Basis of Integrated Bioinformatics Analysis.
Zhao B; Xu Y; Zhao Y; Shen S; Sun Q
Front Oncol; 2020; 10():856. PubMed ID: 32596149
[No Abstract] [Full Text] [Related]
12. Identification of Seven Cell Cycle-Related Genes with Unfavorable Prognosis and Construction of their TF-miRNA-mRNA regulatory network in Breast Cancer.
Hong Z; Wang Q; Hong C; Liu M; Qiu P; Lin R; Lin X; Chen F; Li Q; Liu L; Wang C; Chen D
J Cancer; 2021; 12(3):740-753. PubMed ID: 33403032
[TBL] [Abstract][Full Text] [Related]
13. Overexpression of CCNE1 confers a poorer prognosis in triple-negative breast cancer identified by bioinformatic analysis.
Yuan Q; Zheng L; Liao Y; Wu G
World J Surg Oncol; 2021 Mar; 19(1):86. PubMed ID: 33757543
[TBL] [Abstract][Full Text] [Related]
14. CCNB2, CDC20, AURKA, TOP2A, MELK, NCAPG, KIF20A, UBE2C, PRC1, and ASPM May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic Analysis.
Yang Z; Wu X; Li J; Zheng Q; Niu J; Li S
Int J Gen Med; 2021; 14():10185-10194. PubMed ID: 34992437
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Gene expression profile analysis to discover molecular signatures for early diagnosis and therapies of triple-negative breast cancer.
Alam MS; Sultana A; Wang G; Haque Mollah MN
Front Mol Biosci; 2022; 9():1049741. PubMed ID: 36567949
[TBL] [Abstract][Full Text] [Related]
17. Identification of hub genes and diagnostic efficacy for triple-negative breast cancer through WGCNA and Mendelian randomization.
Lin Y; Wang S; Yang Q
Discov Oncol; 2024 Apr; 15(1):117. PubMed ID: 38609711
[TBL] [Abstract][Full Text] [Related]
18. Identification of differentially expressed genes between triple and non-triple-negative breast cancer using bioinformatics analysis.
Zhai Q; Li H; Sun L; Yuan Y; Wang X
Breast Cancer; 2019 Nov; 26(6):784-791. PubMed ID: 31197620
[TBL] [Abstract][Full Text] [Related]
19. CCNB2, NUSAP1 and TK1 are associated with the prognosis and progression of hepatocellular carcinoma, as revealed by co-expression analysis.
Liu L; Chen A; Chen S; Song W; Yao Q; Wang P; Zhou S
Exp Ther Med; 2020 Apr; 19(4):2679-2689. PubMed ID: 32256749
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
