201 related articles for article (PubMed ID: 34238161)
1. Data Mining of Differentially Expressed Genes in Ovarian Epithelial Carcinoma: Implications in Precise Medicine.
Zhao J; Gao H; He Y
Curr Top Med Chem; 2021 Oct; 21(14):1285-1300. PubMed ID: 34238161
[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. Identification and analysis of genes associated with epithelial ovarian cancer by integrated bioinformatics methods.
Gui T; Yao C; Jia B; Shen K
PLoS One; 2021; 16(6):e0253136. PubMed ID: 34143800
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Prospective pathway signaling and prognostic values of MicroRNA-9 in ovarian cancer based on gene expression omnibus (GEO): a bioinformatics analysis.
Zuo L; Li X; Tan Y; Zhu H; Xiao M
J Ovarian Res; 2021 Feb; 14(1):29. PubMed ID: 33563317
[TBL] [Abstract][Full Text] [Related]
6. Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.
Zheng MJ; Li X; Hu YX; Dong H; Gou R; Nie X; Liu Q; Ying-Ying H; Liu JJ; Lin B
J Cell Physiol; 2019 Jul; 234(7):11023-11036. PubMed ID: 30633343
[TBL] [Abstract][Full Text] [Related]
7. Exploration of the sequential gene changes in epithelial ovarian cancer induced by carboplatin via microarray analysis.
Wei S; Liu J; Shi Y; Zhang X; Yang Y; Song Q
Mol Med Rep; 2017 Sep; 16(3):3155-3160. PubMed ID: 28713952
[TBL] [Abstract][Full Text] [Related]
8. 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]
9.
Liu J; Li S; Liang J; Jiang Y; Wan Y; Zhou S; Cheng W
Cancer Manag Res; 2019; 11():2379-2392. PubMed ID: 30988639
[TBL] [Abstract][Full Text] [Related]
10. Cross‑validation of genes potentially associated with neoadjuvant chemotherapy and platinum‑based chemoresistance in epithelial ovarian carcinoma.
Zhang K; Wang W; Chen L; Liu Y; Hu J; Guo F; Tian W; Wang Y; Xue F
Oncol Rep; 2020 Sep; 44(3):909-926. PubMed ID: 32705213
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. The Role of PDZ Binding Kinase as a Potential Prognostic and Diagnostic Biomarker in Ovarian Cancer.
Li C; Lyu Y; Liu C; Yin S
Cancer Biother Radiopharm; 2022 Sep; 37(7):569-579. PubMed ID: 33794097
[No Abstract] [Full Text] [Related]
13. Gene expression profiles and pathway enrichment analysis to identification of differentially expressed gene and signaling pathways in epithelial ovarian cancer based on high-throughput RNA-seq data.
Siavoshi A; Taghizadeh M; Dookhe E; Piran M
Genomics; 2022 Jan; 114(1):161-170. PubMed ID: 34839022
[TBL] [Abstract][Full Text] [Related]
14. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
15. Exploring prognostic genes in ovarian cancer stage-related coexpression network modules.
Yang L; Jing J; Sun L; Yue Y
Medicine (Baltimore); 2018 Aug; 97(34):e11895. PubMed ID: 30142790
[TBL] [Abstract][Full Text] [Related]
16. Identification of potential markers for differentiating epithelial ovarian cancer from ovarian low malignant potential tumors through integrated bioinformatics analysis.
Hao W; Zhao H; Li Z; Li J; Guo J; Chen Q; Gao Y; Ren M; Zhao X; Yue W
J Ovarian Res; 2021 Mar; 14(1):46. PubMed ID: 33726773
[TBL] [Abstract][Full Text] [Related]
17. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
18. Identification of Hub Gene GRIN1 Correlated with Histological Grade and Prognosis of Glioma by Weighted Gene Coexpression Network Analysis.
Yang A; Wang X; Hu Y; Shang C; Hong Y
Biomed Res Int; 2021; 2021():4542995. PubMed ID: 34840971
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Four genes relevant to pathological grade and prognosis in ovarian cancer.
Pan X; Chen Y; Gao S
Cancer Biomark; 2020; 29(2):169-178. PubMed ID: 32444534
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]