618 related articles for article (PubMed ID: 33403032)
1. 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]
2. 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]
3. Identification of critical genes in gastric cancer to predict prognosis using bioinformatics analysis methods.
Liu J; Ma L; Chen Z; Song Y; Gu T; Liu X; Zhao H; Yao N
Ann Transl Med; 2020 Jul; 8(14):884. PubMed ID: 32793728
[TBL] [Abstract][Full Text] [Related]
4. Detection of critical genes associated with poor prognosis in breast cancer via integrated bioinformatics analyses.
Liu D; Zhang J; Li L; Wang Q; Lan Y
J BUON; 2020; 25(6):2537-2545. PubMed ID: 33455094
[TBL] [Abstract][Full Text] [Related]
5. Identification of significant genes with poor prognosis in ovarian cancer via bioinformatical analysis.
Feng H; Gu ZY; Li Q; Liu QH; Yang XY; Zhang JJ
J Ovarian Res; 2019 Apr; 12(1):35. PubMed ID: 31010415
[TBL] [Abstract][Full Text] [Related]
6. Identification of hub genes associated with bladder cancer using bioinformatic analyses.
Zheng W; Zhao Y; Wang T; Zhao X; Tan Z
Transl Cancer Res; 2022 May; 11(5):1330-1343. PubMed ID: 35706790
[TBL] [Abstract][Full Text] [Related]
7. Identification of key differentially expressed genes between ER-positive/HER2-negative breast cancer and ER-negative/HER2-negative breast cancer using integrated bioinformatics analysis.
Gan S; Dai H; Li R; Liu W; Ye R; Ha Y; Di X; Hu W; Zhang Z; Sun Y
Gland Surg; 2020 Jun; 9(3):661-675. PubMed ID: 32775256
[TBL] [Abstract][Full Text] [Related]
8. Identification of novel biomarkers in breast cancer via integrated bioinformatics analysis and experimental validation.
Wang N; Zhang H; Li D; Jiang C; Zhao H; Teng Y
Bioengineered; 2021 Dec; 12(2):12431-12446. PubMed ID: 34895070
[TBL] [Abstract][Full Text] [Related]
9. 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]
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. Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis.
Wu JR; Zhao Y; Zhou XP; Qin X
Biomed Pharmacother; 2020 Jan; 121():109647. PubMed ID: 31733575
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. TTK, CDC25A, and ESPL1 as Prognostic Biomarkers for Endometrial Cancer.
Yang Q; Yu B; Sun J
Biomed Res Int; 2020; 2020():4625123. PubMed ID: 33282948
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Identification of key genes and biological pathways in lung adenocarcinoma via bioinformatics analysis.
Wang Y; Zhou Z; Chen L; Li Y; Zhou Z; Chu X
Mol Cell Biochem; 2021 Feb; 476(2):931-939. PubMed ID: 33130972
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Upregulated cyclins may be novel genes for triple-negative breast cancer based on bioinformatic analysis.
Lu Y; Yang G; Xiao Y; Zhang T; Su F; Chang R; Ling X; Bai Y
Breast Cancer; 2020 Sep; 27(5):903-911. PubMed ID: 32338339
[TBL] [Abstract][Full Text] [Related]
19. Identification of the key pathways and genes involved in HER2-positive breast cancer with brain metastasis.
Lu X; Gao C; Liu C; Zhuang J; Su P; Li H; Wang X; Sun C
Pathol Res Pract; 2019 Aug; 215(8):152475. PubMed ID: 31178227
[TBL] [Abstract][Full Text] [Related]
20. Identification of hub genes involved in the occurrence and development of hepatocellular carcinoma via bioinformatics analysis.
Mi N; Cao J; Zhang J; Fu W; Huang C; Gao L; Yue P; Bai B; Lin Y; Meng W; Li X
Oncol Lett; 2020 Aug; 20(2):1695-1708. PubMed ID: 32724412
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]