208 related articles for article (PubMed ID: 38092774)
1. Analyzing aberrant DNA methylation in colorectal cancer uncovered intangible heterogeneity of gene effects in the survival time of patients.
Hajebi Khaniki S; Shokoohi F; Esmaily H; Kerachian MA
Sci Rep; 2023 Dec; 13(1):22104. PubMed ID: 38092774
[TBL] [Abstract][Full Text] [Related]
2. Analyzing aberrant DNA methylation in Colorectal cancer uncovered intangible heterogeneity of gene effects in the survival time of patients.
Khaniki SH; Shokoohi F; Esmaily H; Kerachian MA
Res Sq; 2023 May; ():. PubMed ID: 37397988
[TBL] [Abstract][Full Text] [Related]
3. Epigenetic profiling and mRNA expression reveal candidate genes as biomarkers for colorectal cancer.
Zhang H; Dong S; Feng J
J Cell Biochem; 2019 Jun; 120(6):10767-10776. PubMed ID: 30672027
[TBL] [Abstract][Full Text] [Related]
4. Integrative Analysis of DNA Methylation and Gene Expression Profiles Identifies Colorectal Cancer-Related Diagnostic Biomarkers.
Xu M; Yuan L; Wang Y; Chen S; Zhang L; Zhang X
Pathol Oncol Res; 2021; 27():1609784. PubMed ID: 34366718
[No Abstract] [Full Text] [Related]
5. Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell carcinoma.
Peng H; Wang S; Pang L; Yang L; Chen Y; Cui XB
Mol Omics; 2019 Feb; 15(1):88-100. PubMed ID: 30706927
[TBL] [Abstract][Full Text] [Related]
6. Integrative Network Analysis of Differentially Methylated and Expressed Genes for Biomarker Identification in Leukemia.
Sanchez R; Mackenzie SA
Sci Rep; 2020 Feb; 10(1):2123. PubMed ID: 32034170
[TBL] [Abstract][Full Text] [Related]
7. Uncovering potential genes in colorectal cancer based on integrated and DNA methylation analysis in the gene expression omnibus database.
Wang G; Wang F; Meng Z; Wang N; Zhou C; Zhang J; Zhao L; Wang G; Shan B
BMC Cancer; 2022 Feb; 22(1):138. PubMed ID: 35114976
[TBL] [Abstract][Full Text] [Related]
8. Aberrantly methylated-differentially genes and pathways among Iranian patients with colorectal cancer.
Ghorbani M; Azghandi M; Kerachian MA
Cancer Cell Int; 2021 Jul; 21(1):346. PubMed ID: 34217303
[TBL] [Abstract][Full Text] [Related]
9. Network cluster analysis of protein-protein interaction network identified biomarker for early onset colorectal cancer.
Luo T; Wu S; Shen X; Li L
Mol Biol Rep; 2013 Dec; 40(12):6561-8. PubMed ID: 24197691
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Identification of potential therapeutic targets associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
Sharma A; Yadav D; Rao P; Sinha S; Goswami D; Rawal RM; Shrivastava N
Comput Biol Med; 2022 Jul; 146():105688. PubMed ID: 35680454
[TBL] [Abstract][Full Text] [Related]
12. A network-based predictive gene expression signature for recurrence risks in stage II colorectal cancer.
Yang WJ; Wang HB; Wang WD; Bai PY; Lu HX; Sun CH; Liu ZS; Guan DK; Yang GW; Zhang GL
Cancer Med; 2020 Jan; 9(1):179-193. PubMed ID: 31724326
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Epigenetic Alternations of MicroRNAs and DNA Methylation Contribute to Liver Metastasis of Colorectal Cancer.
Liu J; Li H; Sun L; Shen S; Zhou Q; Yuan Y; Xing C
Dig Dis Sci; 2019 Jun; 64(6):1523-1534. PubMed ID: 30604369
[TBL] [Abstract][Full Text] [Related]
15. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
16. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
[TBL] [Abstract][Full Text] [Related]
17. Integrative Gene Expression Profiling Analysis to Investigate Potential Prognostic Biomarkers for Colorectal Cancer.
Liu X; Bing Z; Wu J; Zhang J; Zhou W; Ni M; Meng Z; Liu S; Tian J; Zhang X; Li Y; Jia S; Guo S
Med Sci Monit; 2020 Jan; 26():e918906. PubMed ID: 31893510
[TBL] [Abstract][Full Text] [Related]
18. The identification of a common different gene expression signature in patients with colorectal cancer.
Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
[TBL] [Abstract][Full Text] [Related]
19. Hypermethylated and downregulated MEIS2 are involved in stemness properties and oxaliplatin-based chemotherapy resistance of colorectal cancer.
Wang X; Ghareeb WM; Zhang Y; Yu Q; Lu X; Huang Y; Huang S; Sun Y; Chi P
J Cell Physiol; 2019 Aug; 234(10):18180-18191. PubMed ID: 30859572
[TBL] [Abstract][Full Text] [Related]
20. Novel diagnostic and prognostic biomarkers of colorectal cancer: Capable to overcome the heterogeneity-specific barrier and valid for global applications.
Hameed Y; Usman M; Liang S; Ejaz S
PLoS One; 2021; 16(9):e0256020. PubMed ID: 34473751
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
