173 related articles for article (PubMed ID: 38090381)
1. Bioinformatics analysis of human kallikrein 5 (
Song Y; Bai G; Li X; Zhou L; Si Y; Liu X; Deng Y; Shi Y
Cancer Innov; 2023 Oct; 2(5):376-390. PubMed ID: 38090381
[TBL] [Abstract][Full Text] [Related]
2. Identification of a five genes prognosis signature for triple-negative breast cancer using multi-omics methods and bioinformatics analysis.
Ma J; Chen C; Liu S; Ji J; Wu D; Huang P; Wei D; Fan Z; Ren L
Cancer Gene Ther; 2022 Nov; 29(11):1578-1589. PubMed ID: 35474355
[TBL] [Abstract][Full Text] [Related]
3. Comparative Effectiveness of an mTOR-Based Systemic Therapy Regimen in Advanced, Metaplastic and Nonmetaplastic Triple-Negative Breast Cancer.
Basho RK; Yam C; Gilcrease M; Murthy RK; Helgason T; Karp DD; Meric-Bernstam F; Hess KR; Valero V; Albarracin C; Litton JK; Chavez-MacGregor M; Hong D; Kurzrock R; Hortobagyi GN; Janku F; Moulder SL
Oncologist; 2018 Nov; 23(11):1300-1309. PubMed ID: 30139837
[TBL] [Abstract][Full Text] [Related]
4. KEGG-expressed genes and pathways in triple negative breast cancer: Protocol for a systematic review and data mining.
Chen J; Liu C; Cen J; Liang T; Xue J; Zeng H; Zhang Z; Xu G; Yu C; Lu Z; Wang Z; Jiang J; Zhan X; Zeng J
Medicine (Baltimore); 2020 May; 99(18):e19986. PubMed ID: 32358373
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. Identification of Hub Genes and Pathways of Triple Negative Breast Cancer by Expression Profiles Analysis.
Li L; Huang H; Zhu M; Wu J
Cancer Manag Res; 2021; 13():2095-2104. PubMed ID: 33688252
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. 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]
13. 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]
14. 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]
15. 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]
16. Identification of novel prognostic genes of triple-negative breast cancer using meta-analysis and weighted gene co-expressed network analysis.
Cao W; Jiang Y; Ji X; Guan X; Lin Q; Ma L
Ann Transl Med; 2021 Feb; 9(3):205. PubMed ID: 33708832
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. 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]
19. Identification of ribosomal protein family in triple-negative breast cancer by bioinformatics analysis.
Lin Z; Peng R; Sun Y; Zhang L; Zhang Z
Biosci Rep; 2021 Jan; 41(1):. PubMed ID: 33305312
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
[Next] [New Search]
