291 related articles for article (PubMed ID: 35114976)
21. Identification of candidate biomarkers and therapeutic drugs of colorectal cancer by integrated bioinformatics analysis.
Zheng Z; Xie J; Xiong L; Gao M; Qin L; Dai C; Liang Z; Wang Y; Xue J; Wang Q; Wang W; Li X
Med Oncol; 2020 Oct; 37(11):104. PubMed ID: 33078282
[TBL] [Abstract][Full Text] [Related]
22. KRT15, INHBA, MATN3, and AGT are aberrantly methylated and differentially expressed in gastric cancer and associated with prognosis.
Zhang C; Liang Y; Ma MH; Wu KZ; Dai DQ
Pathol Res Pract; 2019 May; 215(5):893-899. PubMed ID: 30718100
[TBL] [Abstract][Full Text] [Related]
23. Walking pathways with positive feedback loops reveal DNA methylation biomarkers of colorectal cancer.
Kel A; Boyarskikh U; Stegmaier P; Leskov LS; Sokolov AV; Yevshin I; Mandrik N; Stelmashenko D; Koschmann J; Kel-Margoulis O; Krull M; Martínez-Cardús A; Moran S; Esteller M; Kolpakov F; Filipenko M; Wingender E
BMC Bioinformatics; 2019 Apr; 20(Suppl 4):119. PubMed ID: 30999858
[TBL] [Abstract][Full Text] [Related]
24. Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis.
Rahman MR; Islam T; Gov E; Turanli B; Gulfidan G; Shahjaman M; Banu NA; Mollah MNH; Arga KY; Moni MA
Medicina (Kaunas); 2019 Jan; 55(1):. PubMed ID: 30658502
[TBL] [Abstract][Full Text] [Related]
25. Identification of Critical Genes and Five Prognostic Biomarkers Associated with Colorectal Cancer.
Huang Z; Yang Q; Huang Z
Med Sci Monit; 2018 Jul; 24():4625-4633. PubMed ID: 29973580
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma.
Zhen L; Ning G; Wu L; Zheng Y; Yang F; Chen T; Xu W; Liu Y; Xie C; Peng L
Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 32955083
[TBL] [Abstract][Full Text] [Related]
28. Identifying CpG sites with different differential methylation frequencies in colorectal cancer tissues based on individualized differential methylation analysis.
Yan H; He J; Guan Q; Cai H; Zhang L; Zheng W; Qi L; Zhang S; Liu H; Li H; Zhao W; Yang S; Guo Z
Oncotarget; 2017 Jul; 8(29):47356-47364. PubMed ID: 28537885
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. CX3CR1 Acts as a Protective Biomarker in the Tumor Microenvironment of Colorectal Cancer.
Yue Y; Zhang Q; Sun Z
Front Immunol; 2021; 12():758040. PubMed ID: 35140706
[TBL] [Abstract][Full Text] [Related]
31. Clinical Relevance of Plasma DNA Methylation in Colorectal Cancer Patients Identified by Using a Genome-Wide High-Resolution Array.
Lin PC; Lin JK; Lin CH; Lin HH; Yang SH; Jiang JK; Chen WS; Chou CC; Tsai SF; Chang SC
Ann Surg Oncol; 2015 Dec; 22 Suppl 3():S1419-27. PubMed ID: 25472652
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Identification of Differentially Expressed Genes Induced by Aberrant Methylation in Oral Squamous Cell Carcinomas Using Integrated Bioinformatic Analysis.
Zhang X; Feng H; Li D; Liu S; Amizuka N; Li M
Int J Mol Sci; 2018 Jun; 19(6):. PubMed ID: 29875348
[TBL] [Abstract][Full Text] [Related]
34. Genome-wide DNA methylation profiles of autism spectrum disorder.
Sun L; Wang X; Wang X; Cui X; Li G; Wang L; Wang L; Song M; Yu L
Psychiatr Genet; 2022 Aug; 32(4):131-145. PubMed ID: 35353793
[TBL] [Abstract][Full Text] [Related]
35. Identification of key lncRNAs in colorectal cancer progression based on associated protein-protein interaction analysis.
Zhu H; Yu J; Zhu H; Guo Y; Feng S
World J Surg Oncol; 2017 Aug; 15(1):153. PubMed ID: 28797257
[TBL] [Abstract][Full Text] [Related]
36. Genome-wide DNA methylation differences according to oestrogen receptor beta status in colorectal cancer.
Neumeyer S; Popanda O; Edelmann D; Butterbach K; Toth C; Roth W; Bläker H; Jiang R; Herpel E; Jäkel C; Schmezer P; Jansen L; Alwers E; Benner A; Burwinkel B; Hoffmeister M; Brenner H; Chang-Claude J
Epigenetics; 2019 May; 14(5):477-493. PubMed ID: 30931802
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Genome-wide methylation analysis identifies a core set of hypermethylated genes in CIMP-H colorectal cancer.
McInnes T; Zou D; Rao DS; Munro FM; Phillips VL; McCall JL; Black MA; Reeve AE; Guilford PJ
BMC Cancer; 2017 Mar; 17(1):228. PubMed ID: 28351398
[TBL] [Abstract][Full Text] [Related]
39. Long non-coding RNA profile study identifies a metabolism-related signature for colorectal cancer.
Lu Y; Wang W; Liu Z; Ma J; Zhou X; Fu W
Mol Med; 2021 Aug; 27(1):83. PubMed ID: 34344319
[TBL] [Abstract][Full Text] [Related]
40. Identification of prognostic immune-related gene signature associated with tumor microenvironment of colorectal cancer.
Wang Y; Li W; Jin X; Jiang X; Guo S; Xu F; Su X; Wang G; Zhao Z; Gu X
BMC Cancer; 2021 Aug; 21(1):905. PubMed ID: 34364366
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
