134 related articles for article (PubMed ID: 30982327)
1. Neural activities are unfavorable for the prognosis of ovarian cancer through mRNA expression analysis.
Yang L; Bie L; Sun L; Yue Y
Biomark Med; 2019 Jun; 13(8):663-673. PubMed ID: 30982327
[No Abstract] [Full Text] [Related]
2. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
3. A novel risk score system for assessment of ovarian cancer based on co-expression network analysis and expression level of five lncRNAs.
Zhao Q; Fan C
BMC Med Genet; 2019 Jun; 20(1):103. PubMed ID: 31182053
[TBL] [Abstract][Full Text] [Related]
4. The Prognostic Values of the Insulin-Like Growth Factor Binding Protein Family in Ovarian Cancer.
Zheng R; Chen W; Xia W; Zheng J; Zhou Q
Biomed Res Int; 2020; 2020():7658782. PubMed ID: 33282953
[TBL] [Abstract][Full Text] [Related]
5. Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis.
Shen J; Yu S; Sun X; Yin M; Fei J; Zhou J
J Ovarian Res; 2019 Nov; 12(1):110. PubMed ID: 31729978
[TBL] [Abstract][Full Text] [Related]
6. Netrin-1 overexpression is predictive of ovarian malignancies.
Papanastasiou AD; Pampalakis G; Katsaros D; Sotiropoulou G
Oncotarget; 2011 May; 2(5):363-7. PubMed ID: 21789787
[TBL] [Abstract][Full Text] [Related]
7. Profile and validation of dysregulated long non‑coding RNAs and mRNAs in ovarian cancer.
Lu YM; Wang Y; Liu SQ; Zhou MY; Guo YR
Oncol Rep; 2018 Nov; 40(5):2964-2976. PubMed ID: 30132558
[TBL] [Abstract][Full Text] [Related]
8. Updates and current challenges in microRNA research for personalized medicine in ovarian cancer.
Mandilaras V; Vernon M; Meryet-Figuière M; Karakasis K; Lambert B; Poulain L; Oza A; Denoyelle C; Lheureux S
Expert Opin Biol Ther; 2017 Aug; 17(8):927-943. PubMed ID: 28641048
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Differential role of microRNAs in prognosis, diagnosis, and therapy of ovarian cancer.
Mahdian-Shakib A; Dorostkar R; Tat M; Hashemzadeh MS; Saidi N
Biomed Pharmacother; 2016 Dec; 84():592-600. PubMed ID: 27694003
[TBL] [Abstract][Full Text] [Related]
11. Microarray-based identification of genes associated with prognosis and drug resistance in ovarian cancer.
Yin F; Yi S; Wei L; Zhao B; Li J; Cai X; Dong C; Liu X
J Cell Biochem; 2019 Apr; 120(4):6057-6070. PubMed ID: 30335894
[TBL] [Abstract][Full Text] [Related]
12. Downregulated Long Noncoding RNA DGCR5 Acts as a New Promising Biomarker for the Diagnosis and Prognosis of Ovarian Cancer.
Chen H; Tian X; Luan Y; Lu H
Technol Cancer Res Treat; 2019; 18():1533033819896809. PubMed ID: 31868103
[TBL] [Abstract][Full Text] [Related]
13. Machine learning and bioinformatics models to identify gene expression patterns of ovarian cancer associated with disease progression and mortality.
Hossain MA; Saiful Islam SM; Quinn JMW; Huq F; Moni MA
J Biomed Inform; 2019 Dec; 100():103313. PubMed ID: 31655274
[TBL] [Abstract][Full Text] [Related]
14. Increased expression of TET3 predicts unfavorable prognosis in patients with ovarian cancer-a bioinformatics integrative analysis.
Cao T; Pan W; Sun X; Shen H
J Ovarian Res; 2019 Oct; 12(1):101. PubMed ID: 31656201
[TBL] [Abstract][Full Text] [Related]
15. Profiling and bioinformatics analyses reveal differential circular RNA expression in ovarian cancer.
Wang J; Wu A; Yang B; Zhu X; Teng Y; Ai Z
Gene; 2020 Jan; 724():144150. PubMed ID: 31589961
[TBL] [Abstract][Full Text] [Related]
16. Development of a five-gene signature as a novel prognostic marker in ovarian cancer.
Wang R; Ye XH; Zhao XL; Liu JL; Zhang CY
Neoplasma; 2019 May; 66(3):343-349. PubMed ID: 30569721
[TBL] [Abstract][Full Text] [Related]
17. A random forest classifier predicts recurrence risk in patients with ovarian cancer.
Cheng L; Li L; Wang L; Li X; Xing H; Zhou J
Mol Med Rep; 2018 Sep; 18(3):3289-3297. PubMed ID: 30066910
[TBL] [Abstract][Full Text] [Related]
18. Gene expression profiling of ovarian carcinomas and prognostic analysis of outcome.
Cai SY; Yang T; Chen Y; Wang JW; Li L; Xu MJ
J Ovarian Res; 2015 Jul; 8():50. PubMed ID: 26228058
[TBL] [Abstract][Full Text] [Related]
19. Gene expression and prognosis of sirtuin family members in ovarian cancer.
Zeng Z; Huang Y; Li Y; Huang S; Wang J; Tang Y; Jiang Y
Medicine (Baltimore); 2020 Jun; 99(24):e20685. PubMed ID: 32541517
[TBL] [Abstract][Full Text] [Related]
20. Identification of the key genes associated with chemotherapy sensitivity in ovarian cancer patients.
Zheng H; Zhang M; Ma S; Yang W; Xie S; Wang Y; Liu Y; Kai J; Ma Q; Lu R; Guo L
Cancer Med; 2020 Jul; 9(14):5200-5209. PubMed ID: 32441484
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]