149 related articles for article (PubMed ID: 35282089)
1. A transcriptomic analysis based on aberrant methylation levels revealed potential novel therapeutic targets for nasopharyngeal carcinoma.
Lyu M; Yi X; Huang Z; Chen Y; Ai Z; Liang Y; Feng Q; Xiang Z
Ann Transl Med; 2022 Jan; 10(2):47. PubMed ID: 35282089
[TBL] [Abstract][Full Text] [Related]
2. DNA methylation biomarkers for nasopharyngeal carcinoma.
Han B; Yang X; Zhang P; Zhang Y; Tu Y; He Z; Li Y; Yuan J; Dong Y; Hosseini DK; Zhou T; Sun H
PLoS One; 2020; 15(4):e0230524. PubMed ID: 32271791
[TBL] [Abstract][Full Text] [Related]
3. Identification of methylated genes and miRNA signatures in nasopharyngeal carcinoma by bioinformatics analysis.
Wang Y; Zhao Q; Lan N; Wang S
Mol Med Rep; 2018 Apr; 17(4):4909-4916. PubMed ID: 29393436
[TBL] [Abstract][Full Text] [Related]
4. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
Han BA; Yang XP; Hosseini DK; Zhang P; Zhang Y; Yu JT; Chen S; Zhang F; Zhou T; Sun HY
Sci Rep; 2020 Jun; 10(1):9735. PubMed ID: 32546690
[TBL] [Abstract][Full Text] [Related]
5. Aberrantly methylated-differentially expressed genes and pathways in colorectal cancer.
Liu J; Li H; Sun L; Wang Z; Xing C; Yuan Y
Cancer Cell Int; 2017; 17():75. PubMed ID: 28794688
[TBL] [Abstract][Full Text] [Related]
6. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
Zhou J; Hui X; Mao Y; Fan L
Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
[TBL] [Abstract][Full Text] [Related]
7. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
Li F; Guo P; Dong K; Guo P; Wang H; Lv X
J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
[No Abstract] [Full Text] [Related]
8. Identification of core differentially methylated genes in glioma.
Xue J; Gao HX; Sang W; Cui WL; Liu M; Zhao Y; Wang MB; Wang Q; Zhang W
Oncol Lett; 2019 Dec; 18(6):6033-6045. PubMed ID: 31788078
[TBL] [Abstract][Full Text] [Related]
9. Identification of candidate genes of nasopharyngeal carcinoma by bioinformatical analysis.
Ye Z; Wang F; Yan F; Wang L; Li B; Liu T; Hu F; Jiang M; Fu Z
Arch Oral Biol; 2019 Oct; 106():104478. PubMed ID: 31319350
[TBL] [Abstract][Full Text] [Related]
10. Identification of aberrantly methylated differentially expressed genes in age-related macular degeneration.
Xu Z; Ruan Z; Huang X; Liu Q; Li Z; Zhou X; Zhang X; Shang L
Medicine (Baltimore); 2019 Apr; 98(14):e15083. PubMed ID: 30946360
[TBL] [Abstract][Full Text] [Related]
11. Combined screening analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma.
Cao J; Zhang R; Zhang Y; Wang Y
J Gastrointest Oncol; 2022 Feb; 13(1):311-325. PubMed ID: 35284134
[TBL] [Abstract][Full Text] [Related]
12. DNA methylation-based diagnostic and prognostic biomarkers of nasopharyngeal carcinoma patients.
Wu ZH; Zhou T; Sun HY
Medicine (Baltimore); 2020 Jun; 99(24):e20682. PubMed ID: 32541515
[TBL] [Abstract][Full Text] [Related]
13. Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis.
Zhu HM; Fei Q; Qian LX; Liu BL; He X; Yin L
Oncol Lett; 2019 May; 17(5):4683-4694. PubMed ID: 30988824
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics analysis identifies hub genes and pathways in nasopharyngeal carcinoma.
Liu K; Kang M; Zhou Z; Qin W; Wang R
Oncol Lett; 2019 Oct; 18(4):3637-3645. PubMed ID: 31516577
[TBL] [Abstract][Full Text] [Related]
15. Comprehensive analysis of gene expression and DNA methylation for human nasopharyngeal carcinoma.
Li H; Wang FL; Shan LP; An J; Liu ML; Li W; Zhang JE; Wu PP
Eur Arch Otorhinolaryngol; 2019 Sep; 276(9):2565-2576. PubMed ID: 31240455
[TBL] [Abstract][Full Text] [Related]
16. Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis.
Zou Z; Gan S; Liu S; Li R; Huang J
Oncol Lett; 2019 Jul; 18(1):916-926. PubMed ID: 31289570
[TBL] [Abstract][Full Text] [Related]
17. Bioinformatics analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma.
Sang L; Wang XM; Xu DY; Zhao WJ
World J Gastroenterol; 2018 Jun; 24(24):2605-2616. PubMed ID: 29962817
[TBL] [Abstract][Full Text] [Related]
18. Identification of candidate aberrantly methylated and differentially expressed genes in thyroid cancer.
Tu Y; Fan G; Xi H; Zeng T; Sun H; Cai X; Kong W
J Cell Biochem; 2018 Nov; 119(11):8797-8806. PubMed ID: 30069928
[TBL] [Abstract][Full Text] [Related]
19. Identification of aberrantly methylated-differentially expressed genes and potential agents for Ewing sarcoma.
Li G; Zhou X; Tian L; Meng G; Li B; Yu H; Li Y; Huo Z; Du L; Ma X; Xu B
Ann Transl Med; 2021 Oct; 9(20):1557. PubMed ID: 34790763
[TBL] [Abstract][Full Text] [Related]
20. Microarray Analysis of Novel Genes Involved in Nasopharyngeal Carcinoma.
Wang B; Wang W; Wang H; Liu W
Bull Exp Biol Med; 2021 Mar; 170(5):658-664. PubMed ID: 33788105
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
