177 related articles for article (PubMed ID: 28943905)
1. Screening the key genes of hepatocellular adenoma via microarray analysis of DNA expression and methylation profiles.
Liu D; Liu P; Cao L; Zhang Q; Chen Y
Oncol Lett; 2017 Oct; 14(4):3975-3980. PubMed ID: 28943905
[TBL] [Abstract][Full Text] [Related]
2. Identification of potential pathogenic biomarkers in clear cell renal cell carcinoma.
Wang Z; Zhang Z; Zhang C; Xu Y
Oncol Lett; 2018 Jun; 15(6):8491-8499. PubMed ID: 29805586
[TBL] [Abstract][Full Text] [Related]
3. Integrated analysis of genome‑wide gene expression and DNA methylation microarray of diffuse large B‑cell lymphoma with TET mutations.
Liu P; Jiang W; Zhao J; Zhang H
Mol Med Rep; 2017 Oct; 16(4):3777-3782. PubMed ID: 28731140
[TBL] [Abstract][Full Text] [Related]
4. Bioinformatic analysis of the effects and mechanisms of decitabine and cytarabine on acute myeloid leukemia.
Zhou S; Liu P; Zhang H
Mol Med Rep; 2017 Jul; 16(1):281-287. PubMed ID: 28498449
[TBL] [Abstract][Full Text] [Related]
5. Identification of potential pathogenic candidates or diagnostic biomarkers in papillary thyroid carcinoma using expression and methylation profiles.
Wei S; Yun X; Ruan X; Wei X; Zheng X; Gao M
Oncol Lett; 2019 Dec; 18(6):6670-6678. PubMed ID: 31814850
[TBL] [Abstract][Full Text] [Related]
6. Comprehensive analysis of DNA methylation gene expression profiles in GEO dataset reveals biomarkers related to malignant transformation of sinonasal inverted papilloma.
Mu L; Hu S; Li G; Wu P; Zheng K; Zhang S
Discov Oncol; 2024 Mar; 15(1):53. PubMed ID: 38427106
[TBL] [Abstract][Full Text] [Related]
7. Potential biomarkers of HCC based on gene expression and DNA methylation profiles.
Meng C; Shen X; Jiang W
Oncol Lett; 2018 Sep; 16(3):3183-3192. PubMed ID: 30127913
[TBL] [Abstract][Full Text] [Related]
8. Aberrantly DNA Methylated-Differentially Expressed Genes and Pathways in Hepatocellular Carcinoma.
Cai C; Wang W; Tu Z
J Cancer; 2019; 10(2):355-366. PubMed ID: 30719129
[No Abstract] [Full Text] [Related]
9. Identification of biomarkers of intrahepatic cholangiocarcinoma via integrated analysis of mRNA and miRNA microarray data.
Chen Y; Liu D; Liu P; Chen Y; Yu H; Zhang Q
Mol Med Rep; 2017 Mar; 15(3):1051-1056. PubMed ID: 28098904
[TBL] [Abstract][Full Text] [Related]
10. Identification of key DNA methylation-driven genes in prostate adenocarcinoma: an integrative analysis of TCGA methylation data.
Xu N; Wu YP; Ke ZB; Liang YC; Cai H; Su WT; Tao X; Chen SH; Zheng QS; Wei Y; Xue XY
J Transl Med; 2019 Sep; 17(1):311. PubMed ID: 31533842
[TBL] [Abstract][Full Text] [Related]
11. Identification of epigenetically altered genes and potential gene targets in melanoma using bioinformatic methods.
Duan H; Jiang K; Wei D; Zhang L; Cheng D; Lv M; Xu Y; He A
Onco Targets Ther; 2018; 11():9-15. PubMed ID: 29302192
[TBL] [Abstract][Full Text] [Related]
12. An integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma.
Zhao C; Zou H; Zhang J; Wang J; Liu H
Oncol Rep; 2018 Nov; 40(5):2637-2647. PubMed ID: 30226546
[TBL] [Abstract][Full Text] [Related]
13. Integrated analysis of the gene expression profile and DNA methylation profile of obese patients with type 2 diabetes.
Shen J; Zhu B
Mol Med Rep; 2018 Jun; 17(6):7636-7644. PubMed ID: 29620215
[TBL] [Abstract][Full Text] [Related]
14. Identification of Methylation Markers and Differentially Expressed Genes with Prognostic Value in Breast Cancer.
Wu J; Zhang Y; Li M
J Comput Biol; 2019 Dec; 26(12):1394-1408. PubMed ID: 31290690
[TBL] [Abstract][Full Text] [Related]
15. Bioinformatics analysis reveals meaningful markers and outcome predictors in HBV-associated hepatocellular carcinoma.
Zhang L; Makamure J; Zhao D; Liu Y; Guo X; Zheng C; Liang B
Exp Ther Med; 2020 Jul; 20(1):427-435. PubMed ID: 32537007
[TBL] [Abstract][Full Text] [Related]
16. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
Guo T; Hou D; Yu D
Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
[TBL] [Abstract][Full Text] [Related]
17. Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray.
Liu MY; Zhang H; Hu YJ; Chen YW; Zhao XN
Oncol Lett; 2016 Jul; 12(1):473-478. PubMed ID: 27347167
[TBL] [Abstract][Full Text] [Related]
18. Genome-wide analysis of aberrant gene expression and methylation profiles reveals susceptibility genes and underlying mechanism of cervical cancer.
Lin H; Ma Y; Wei Y; Shang H
Eur J Obstet Gynecol Reprod Biol; 2016 Dec; 207():147-152. PubMed ID: 27863272
[TBL] [Abstract][Full Text] [Related]
19. Identification of Key Genes in Colorectal Cancer Regulated by miR-34a.
Wang T; Xu H; Liu X; Chen S; Zhou Y; Zhang X
Med Sci Monit; 2017 Dec; 23():5735-5743. PubMed ID: 29197895
[TBL] [Abstract][Full Text] [Related]
20. Screening therapeutic targets of ribavirin in hepatocellular carcinoma.
Xu C; Luo L; Yu Y; Zhang Z; Zhang Y; Li H; Cheng Y; Qin H; Zhang X; Ma H; Li Y
Oncol Lett; 2018 Jun; 15(6):9625-9632. PubMed ID: 29805683
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
