163 related articles for article (PubMed ID: 38654363)
1. Unravelling driver genes as potential therapeutic targets in ovarian cancer via integrated bioinformatics approach.
Beg A; Parveen R; Fouad H; Yahia ME; Hassanein AS
J Ovarian Res; 2024 Apr; 17(1):86. PubMed ID: 38654363
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Determination of Potential Therapeutic Targets and Prognostic Markers of Ovarian Cancer by Bioinformatics Analysis.
Zhang J; Huang S; Quan L; Meng Q; Wang H; Wang J; Chen J
Biomed Res Int; 2021; 2021():8883800. PubMed ID: 33829065
[TBL] [Abstract][Full Text] [Related]
4. Integrated miRNA-mRNA Expression Profiles Revealing Key Molecules in Ovarian Cancer Based on Bioinformatics Analysis.
Li C; Hong Z; Ou M; Zhu X; Zhang L; Yang X
Biomed Res Int; 2021; 2021():6673655. PubMed ID: 34734085
[TBL] [Abstract][Full Text] [Related]
5. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
Zhang L; Sun L; Zhang B; Chen L
Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
[TBL] [Abstract][Full Text] [Related]
6. Identification of key molecular markers in epithelial ovarian cancer by integrated bioinformatics analysis.
Qin W; Yuan Q; Liu Y; Zeng Y; Ke D; Dai X; Shuai Y; Hu J; Shi H
Taiwan J Obstet Gynecol; 2021 Nov; 60(6):983-994. PubMed ID: 34794761
[TBL] [Abstract][Full Text] [Related]
7. Integrated Bioinformatics Analysis for Identification of the Hub Genes Linked with Prognosis of Ovarian Cancer Patients.
Li X; Wang Q; Wu Z; Zheng J; Ji L
Comput Math Methods Med; 2022; 2022():5113447. PubMed ID: 35047055
[TBL] [Abstract][Full Text] [Related]
8. Identification of candidate biomarkers and analysis of prognostic values in ovarian cancer by integrated bioinformatics analysis.
Xu Z; Zhou Y; Cao Y; Dinh TL; Wan J; Zhao M
Med Oncol; 2016 Nov; 33(11):130. PubMed ID: 27757782
[TBL] [Abstract][Full Text] [Related]
9. In-Silico Evaluation of Genetic Alterations in Ovarian Carcinoma and Therapeutic Efficacy of NSC777201, as a Novel Multi-Target Agent for TTK, NEK2, and CDK1.
Khedkar HN; Wang YC; Yadav VK; Srivastava P; Lawal B; Mokgautsi N; Sumitra MR; Wu ATH; Huang HS
Int J Mol Sci; 2021 May; 22(11):. PubMed ID: 34072728
[TBL] [Abstract][Full Text] [Related]
10. Bioinformatics analysis of the transcriptional expression of minichromosome maintenance proteins as potential indicators of survival in patients with cervical cancer.
Wu B; Xi S
BMC Cancer; 2021 Aug; 21(1):928. PubMed ID: 34404366
[TBL] [Abstract][Full Text] [Related]
11. Screening and clinical significance of tumor markers in head and neck squamous cell carcinoma through bioinformatics analysis.
Zhao L; Chi W; Cao H; Cui W; Meng W; Guo W; Wang B
Mol Med Rep; 2019 Jan; 19(1):143-154. PubMed ID: 30431092
[TBL] [Abstract][Full Text] [Related]
12. Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis.
Rahman MR; Islam T; Gov E; Turanli B; Gulfidan G; Shahjaman M; Banu NA; Mollah MNH; Arga KY; Moni MA
Medicina (Kaunas); 2019 Jan; 55(1):. PubMed ID: 30658502
[TBL] [Abstract][Full Text] [Related]
13. Identification of ovarian cancer subtype-specific network modules and candidate drivers through an integrative genomics approach.
Zhang D; Chen P; Zheng CH; Xia J
Oncotarget; 2016 Jan; 7(4):4298-309. PubMed ID: 26735889
[TBL] [Abstract][Full Text] [Related]
14. Identification of prognosis-related hub genes of ovarian cancer through bioinformatics analyses and experimental verification.
Yu Z; Ouyang L
Medicine (Baltimore); 2022 Sep; 101(36):e30374. PubMed ID: 36086731
[TBL] [Abstract][Full Text] [Related]
15. Analysis of microarray-identified genes and microRNAs associated with drug resistance in ovarian cancer.
Zou J; Yin F; Wang Q; Zhang W; Li L
Int J Clin Exp Pathol; 2015; 8(6):6847-58. PubMed ID: 26261572
[TBL] [Abstract][Full Text] [Related]
16. Bioinformatics and In silico approaches to identify novel biomarkers and key pathways for cancers that are linked to the progression of female infertility: A comprehensive approach for drug discovery.
Hossain MA; Sohel M; Rahman MH; Hasan MI; Khan MS; Amin MA; Islam MZ; Peng S
PLoS One; 2023; 18(1):e0265746. PubMed ID: 36608061
[TBL] [Abstract][Full Text] [Related]
17. Annexin A8 can serve as potential prognostic biomarker and therapeutic target for ovarian cancer: based on the comprehensive analysis of Annexins.
Gou R; Zhu L; Zheng M; Guo Q; Hu Y; Li X; Liu J; Lin B
J Transl Med; 2019 Sep; 17(1):275. PubMed ID: 31474227
[TBL] [Abstract][Full Text] [Related]
18. Changes in gene expression variability reveal a stable synthetic lethal interaction network in BRCA2-ovarian cancers.
Bueno R; Mar JC
Methods; 2017 Dec; 131():74-82. PubMed ID: 28754563
[TBL] [Abstract][Full Text] [Related]
19. Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.
Zhang K; Kong X; Feng G; Xiang W; Chen L; Yang F; Cao C; Ding Y; Chen H; Chu M; Wang P; Zhang B
J Ovarian Res; 2018 Feb; 11(1):16. PubMed ID: 29482638
[TBL] [Abstract][Full Text] [Related]
20. Identification of metastasis and prognosis-associated genes for serous ovarian cancer.
Yang Y; Qi S; Shi C; Han X; Yu J; Zhang L; Qin S; Gao Y
Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32510146
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
