192 related articles for article (PubMed ID: 34621746)
1. The Expression and Prognostic Value of SUMO1-Activating Enzyme Subunit 1 and Its Potential Mechanism in Triple-Negative Breast Cancer.
Wang Q; Zhong W; Deng L; Lin Q; Lin Y; Liu H; Xu L; Lu L; Chen Y; Huang J; Jiang M; Xiao H; Zhang J; Li H; Lin Y; Song C; Lin Y
Front Cell Dev Biol; 2021; 9():729211. PubMed ID: 34621746
[No Abstract] [Full Text] [Related]
2. 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]
3. An immunohistochemical panel of three small ubiquitin-like modifier genes predicts outcomes of patients with triple-negative breast cancer.
Lin Y; Wang Q; Lin Y; Jiang M; Xiao H; Zhang J; Guo R; Kang S; Lin Y; Song C
Gland Surg; 2021 Mar; 10(3):1067-1084. PubMed ID: 33842251
[TBL] [Abstract][Full Text] [Related]
4. Transcriptome-Based Network Analysis Unveils Eight Immune-Related Genes as Molecular Signatures in the Immunomodulatory Subtype of Triple-Negative Breast Cancer.
Zhang J; Wang L; Xu X; Li X; Guan W; Meng T; Xu G
Front Oncol; 2020; 10():1787. PubMed ID: 33042828
[No Abstract] [Full Text] [Related]
5. SUMO-Activating Enzyme Subunit 1 (SAE1) Is a Promising Diagnostic Cancer Metabolism Biomarker of Hepatocellular Carcinoma.
Ong JR; Bamodu OA; Khang NV; Lin YK; Yeh CT; Lee WH; Cherng YG
Cells; 2021 Jan; 10(1):. PubMed ID: 33477333
[TBL] [Abstract][Full Text] [Related]
6. SENP3 promotes tumor progression and is a novel prognostic biomarker in triple-negative breast cancer.
Zhu Y; Zhang J; Yu L; Xu S; Chen L; Wu K; Kong L; Lin W; Xue J; Wang Q; Lin Y; Chen X
Front Oncol; 2022; 12():972969. PubMed ID: 36698419
[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. Construction and validation of a macrophage polarization-related prognostic index to predict the overall survival in patients with early-stage triple-negative breast cancer.
Luo H; Hong R; Xu Y; Zheng Q; Xia W; Lu Q; Jiang K; Xu F; Chen M; Shi D; Deng W; Wang S
Gland Surg; 2023 Feb; 12(2):225-242. PubMed ID: 36915811
[TBL] [Abstract][Full Text] [Related]
9. Identification of Key Prognostic Genes of Triple Negative Breast Cancer by LASSO-Based Machine Learning and Bioinformatics Analysis.
Chen DL; Cai JH; Wang CCN
Genes (Basel); 2022 May; 13(5):. PubMed ID: 35627287
[TBL] [Abstract][Full Text] [Related]
10. Identification of CTLA-4 associated with tumor microenvironment and competing interactions in triple negative breast cancer by co-expression network analysis.
Peng Z; Su P; Yang Y; Yao X; Zhang Y; Jin F; Yang B
J Cancer; 2020; 11(21):6365-6375. PubMed ID: 33033520
[No Abstract] [Full Text] [Related]
11. SPAG5 upregulation contributes to enhanced c-MYC transcriptional activity via interaction with c-MYC binding protein in triple-negative breast cancer.
Li M; Li A; Zhou S; Lv H; Yang W
J Hematol Oncol; 2019 Feb; 12(1):14. PubMed ID: 30736840
[TBL] [Abstract][Full Text] [Related]
12. Prognostic genes of triple-negative breast cancer identified by weighted gene co-expression network analysis.
Bao L; Guo T; Wang J; Zhang K; Bao M
Oncol Lett; 2020 Jan; 19(1):127-138. PubMed ID: 31897123
[TBL] [Abstract][Full Text] [Related]
13. Identification of potential key genes and pathways predicting pathogenesis and prognosis for triple-negative breast cancer.
Lv X; He M; Zhao Y; Zhang L; Zhu W; Jiang L; Yan Y; Fan Y; Zhao H; Zhou S; Ma H; Sun Y; Li X; Xu H; Wei M
Cancer Cell Int; 2019; 19():172. PubMed ID: 31297036
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Insulin-like growth factor 2 receptor is a key immune-related gene that is correlated with a poor prognosis in patients with triple-negative breast cancer: A bioinformatics analysis.
Zhong Y; Ren X; Cao X; Xu Y; Song Y; Zhou Y; Mao F; Shen S; Wang Z; Sun Q
Front Oncol; 2022; 12():871786. PubMed ID: 36330486
[TBL] [Abstract][Full Text] [Related]
16.
Zhao M; Zhang Q; Song Z; Lei H; Li J; Peng F; Lin S
Transl Cancer Res; 2023 Jul; 12(7):1802-1815. PubMed ID: 37588742
[TBL] [Abstract][Full Text] [Related]
17. Weighted correlation network analysis of triple-negative breast cancer progression: Identifying specific modules and hub genes based on the GEO and TCGA database.
Lan L; Xu B; Chen Q; Jiang J; Shen Y
Oncol Lett; 2019 Aug; 18(2):1207-1217. PubMed ID: 31423181
[TBL] [Abstract][Full Text] [Related]
18. Ferroptosis and triple-negative breast cancer: Potential therapeutic targets.
Xu N; Li B; Liu Y; Yang C; Tang S; Cho WC; Huang Z
Front Oncol; 2022; 12():1017041. PubMed ID: 36568247
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. ZMIZ2 promotes the development of triple-receptor negative breast cancer.
Zou X; Liu Y; Di J; Wei W; Watanabe N; Li J; Li X
Cancer Cell Int; 2022 Jan; 22(1):52. PubMed ID: 35101047
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]