348 related articles for article (PubMed ID: 29875348)
21. Identification of aberrantly methylated differentially expressed genes in prostate carcinoma using integrated bioinformatics.
Wu K; Yin X; Jin Y; Liu F; Gao J
Cancer Cell Int; 2019; 19():51. PubMed ID: 30872976
[TBL] [Abstract][Full Text] [Related]
22. Gene expression profiling via bioinformatics analysis reveals biomarkers in laryngeal squamous cell carcinoma.
Guan GF; Zheng Y; Wen LJ; Zhang DJ; Yu DJ; Lu YQ; Zhao Y; Zhang H
Mol Med Rep; 2015 Aug; 12(2):2457-64. PubMed ID: 25936657
[TBL] [Abstract][Full Text] [Related]
23. DNA methylation biomarkers for head and neck squamous cell carcinoma.
Zhou C; Ye M; Ni S; Li Q; Ye D; Li J; Shen Z; Deng H
Epigenetics; 2018; 13(4):398-409. PubMed ID: 29927694
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. In vitro and in silico validation of CA3 and FHL1 downregulation in oral cancer.
Pereira CM; de Carvalho AC; da Silva FR; Melendez ME; Lessa RC; Andrade VCC; Kowalski LP; Vettore AL; Carvalho AL
BMC Cancer; 2018 Feb; 18(1):193. PubMed ID: 29454310
[TBL] [Abstract][Full Text] [Related]
26. Construction of prognostic risk prediction model of oral squamous cell carcinoma based on co-methylated genes.
Zhu Q; Tian G; Gao J
Int J Mol Med; 2019 Sep; 44(3):787-796. PubMed ID: 31198983
[TBL] [Abstract][Full Text] [Related]
27. Identification of differentially expressed genes between lung adenocarcinoma and lung squamous cell carcinoma by gene expression profiling.
Lu C; Chen H; Shan Z; Yang L
Mol Med Rep; 2016 Aug; 14(2):1483-90. PubMed ID: 27356570
[TBL] [Abstract][Full Text] [Related]
28. DNA hypermethylation of aurora kinase A in hepatitis C virus‑positive hepatocellular carcinoma.
Ma Z; Liu Y; Hao Z; Hua X; Li W
Mol Med Rep; 2019 Sep; 20(3):2519-2532. PubMed ID: 31322223
[TBL] [Abstract][Full Text] [Related]
29. Identification of differentially expressed genes in oral squamous cell carcinoma.
Arora S; Matta A; Shukla NK; Deo SV; Ralhan R
Mol Carcinog; 2005 Feb; 42(2):97-108. PubMed ID: 15599930
[TBL] [Abstract][Full Text] [Related]
30. Identification of differentially expressed genes induced by aberrant methylation in acute myeloid leukemia using integrated bioinformatics analyses.
Chen WW; Liu DB; Xiao HX; Zhou LJ; Qu J
Oncol Lett; 2022 Nov; 24(5):383. PubMed ID: 36238356
[TBL] [Abstract][Full Text] [Related]
31. Identification of a Gene Prognostic Signature for Oral Squamous Cell Carcinoma by RNA Sequencing and Bioinformatics.
Zhang YY; Mao MH; Han ZX
Biomed Res Int; 2021; 2021():6657767. PubMed ID: 33869632
[TBL] [Abstract][Full Text] [Related]
32. Screening and identification of autophagy-related biomarkers for oral squamous cell carcinoma (OSCC) via integrated bioinformatics analysis.
Huang GZ; Lu ZY; Rao Y; Gao H; Lv XZ
J Cell Mol Med; 2021 May; 25(9):4444-4454. PubMed ID: 33837652
[TBL] [Abstract][Full Text] [Related]
33. 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]
34. Identification of AUNIP as a candidate diagnostic and prognostic biomarker for oral squamous cell carcinoma.
Yang Z; Liang X; Fu Y; Liu Y; Zheng L; Liu F; Li T; Yin X; Qiao X; Xu X
EBioMedicine; 2019 Sep; 47():44-57. PubMed ID: 31409573
[TBL] [Abstract][Full Text] [Related]
35. Weighted Gene Co-Expression Network Analysis Identifies Hub Genes Associated with Occurrence and Prognosis of Oral Squamous Cell Carcinoma.
Ge Y; Li W; Ni Q; He Y; Chu J; Wei P
Med Sci Monit; 2019 Sep; 25():7272-7288. PubMed ID: 31562292
[TBL] [Abstract][Full Text] [Related]
36. Identification of Immune-Related Risk Signatures for the Prognostic Prediction in Oral Squamous Cell Carcinoma.
Zou C; Huang D; Wei H; Wu S; Song J; Tang Z; Li X; Ai Y
J Immunol Res; 2021; 2021():6203759. PubMed ID: 34497859
[TBL] [Abstract][Full Text] [Related]
37. Prognostic biomarkers and therapeutic targets in oral squamous cell carcinoma: a study based on cross-database analysis.
Yang W; Zhou W; Zhao X; Wang X; Duan L; Li Y; Niu L; Chen J; Zhang Y; Han Y; Fan D; Hong L
Hereditas; 2021 Apr; 158(1):15. PubMed ID: 33892811
[TBL] [Abstract][Full Text] [Related]
38. Aberrantly methylated-differentially expressed genes and pathways in Epstein-Barr virus-associated gastric cancer.
Jing JJ; Li H; Wang ZY; Zhou H; Sun LP; Yuan Y
Future Oncol; 2020 Feb; 16(6):187-197. PubMed ID: 31989840
[No Abstract] [Full Text] [Related]
39. Shared genetic and epigenetic mechanisms between chronic periodontitis and oral squamous cell carcinoma.
Li S; Liu X; Zhou Y; Acharya A; Savkovic V; Xu C; Wu N; Deng Y; Hu X; Li H; Haak R; Schmidt J; Shang W; Pan H; Shang R; Yu Y; Ziebolz D; Schmalz G
Oral Oncol; 2018 Nov; 86():216-224. PubMed ID: 30409304
[TBL] [Abstract][Full Text] [Related]
40. Animal model and bioinformatics analyses suggest the TIMP1/MMP9 axis as a potential biomarker in oral squamous cell carcinoma.
Xu G; Wei J; Huangfu B; Gao J; Wang X; Xiao L; Xuan R; Chen Z; Song G
Mol Carcinog; 2020 Nov; 59(11):1302-1316. PubMed ID: 33006223
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
