109 related articles for article (PubMed ID: 37709374)
41. Identification of Hub Genes Related to Carcinogenesis and Prognosis in Colorectal Cancer Based on Integrated Bioinformatics.
Gong B; Kao Y; Zhang C; Sun F; Gong Z; Chen J
Mediators Inflamm; 2020; 2020():5934821. PubMed ID: 32351322
[TBL] [Abstract][Full Text] [Related]
42. RNA sequencing reveals the expression profiles of circRNA and indicates that circDDX17 acts as a tumor suppressor in colorectal cancer.
Li XN; Wang ZJ; Ye CX; Zhao BC; Li ZL; Yang Y
J Exp Clin Cancer Res; 2018 Dec; 37(1):325. PubMed ID: 30591054
[TBL] [Abstract][Full Text] [Related]
43. Profiles of differentially expressed genes and overexpression of NEBL indicates a positive prognosis in patients with colorectal cancer.
Qiu X; Feng JR; Wang F; Chen PF; Chen XX; Zhou R; Chang Y; Liu J; Zhao Q
Mol Med Rep; 2018 Feb; 17(2):3028-3034. PubMed ID: 29257257
[TBL] [Abstract][Full Text] [Related]
44. Identification of genes involved in the four stages of colorectal cancer: Gene expression profiling.
Shi G; Wang Y; Zhang C; Zhao Z; Sun X; Zhang S; Fan J; Zhou C; Zhang J; Zhang H; Liu J
Mol Cell Probes; 2018 Feb; 37():39-47. PubMed ID: 29179987
[TBL] [Abstract][Full Text] [Related]
45. Hub Genes and Key Pathway Identification in Colorectal Cancer Based on Bioinformatic Analysis.
Lv J; Li L
Biomed Res Int; 2019; 2019():1545680. PubMed ID: 31781593
[TBL] [Abstract][Full Text] [Related]
46. Identification of an MiRNA-mRNA Regulatory Network in Colorectal Cancer.
Cui MF; Wu YY; Chen MY; Zhao Y; Han SY; Wang RJ; Zhang H; Fang XD
Comb Chem High Throughput Screen; 2021; 24(10):1736-1745. PubMed ID: 33172374
[TBL] [Abstract][Full Text] [Related]
47. Identification of key genes associated with colorectal cancer based on the transcriptional network.
Chen G; Li H; Niu X; Li G; Han N; Li X; Li G; Liu Y; Sun G; Wang Y; Li Z; Li Q
Pathol Oncol Res; 2015 Jul; 21(3):719-25. PubMed ID: 25613817
[TBL] [Abstract][Full Text] [Related]
48. Identification of six candidate genes for endometrial carcinoma by bioinformatics analysis.
Zhu Y; Shi L; Chen P; Zhang Y; Zhu T
World J Surg Oncol; 2020 Jul; 18(1):161. PubMed ID: 32641130
[TBL] [Abstract][Full Text] [Related]
49. Integrated bioinformatics analysis of expression and gene regulation network of COL12A1 in colorectal cancer.
Wu Y; Xu Y
Cancer Med; 2020 Jul; 9(13):4743-4755. PubMed ID: 32356618
[TBL] [Abstract][Full Text] [Related]
50. Bioinformatics Analysis of Prognosis-Related Genes and Expression of CXCL8 in Colorectal Cancer.
Yao Z; Pan X; Chen W; Pei Y; Chen C; Huang Y; Liu S; Liu Y
Biomed Res Int; 2022; 2022():3149887. PubMed ID: 35845924
[TBL] [Abstract][Full Text] [Related]
51. Bioinformatics Analysis of Key Genes and Pathways in Colorectal Cancer.
Qi Y; Qi H; Liu Z; He P; Li B
J Comput Biol; 2019 Apr; 26(4):364-375. PubMed ID: 30810359
[TBL] [Abstract][Full Text] [Related]
52. Bioinformatic Identification of Hub Genes and Analysis of Prognostic Values in Colorectal Cancer.
Lei X; Jing J; Zhang M; Guan B; Dong Z; Wang C
Nutr Cancer; 2021; 73(11-12):2568-2578. PubMed ID: 33153324
[TBL] [Abstract][Full Text] [Related]
53. Identification of disrupted pathways in ulcerative colitis-related colorectal carcinoma by systematic tracking the dysregulated modules.
Wu D; Li Q; Song G; Lu J
J BUON; 2016; 21(2):366-74. PubMed ID: 27273946
[TBL] [Abstract][Full Text] [Related]
54. Incomplete cellular reprogramming of colorectal cancer cells elicits an epithelial/mesenchymal hybrid phenotype.
Hiew MSY; Cheng HP; Huang CJ; Chong KY; Cheong SK; Choo KB; Kamarul T
J Biomed Sci; 2018 Jul; 25(1):57. PubMed ID: 30025541
[TBL] [Abstract][Full Text] [Related]
55. Analysis of Overexpressed miRNA in Circulation and Cancer Tissue to Develop a Potential microRNA Panel for the Diagnosis of Colorectal Cancer.
Pruseth B; Ghosh A; Pradhan D; Purkait S; Guttula PK
Microrna; 2021; 10(4):250-262. PubMed ID: 34963442
[TBL] [Abstract][Full Text] [Related]
56. Integrated analysis of the functions and clinical implications of exosome circRNAs in colorectal cancer.
Lei T; Zhang Y; Wang X; Liu W; Feng W; Song W
Front Immunol; 2022; 13():919014. PubMed ID: 35924235
[TBL] [Abstract][Full Text] [Related]
57. Identification of Key Candidate Genes and Pathways in Colorectal Cancer by Integrated Bioinformatical Analysis.
Guo Y; Bao Y; Ma M; Yang W
Int J Mol Sci; 2017 Mar; 18(4):. PubMed ID: 28350360
[TBL] [Abstract][Full Text] [Related]
58. Identification of crucial genes and pathways associated with colorectal cancer by bioinformatics analysis.
Liu X; Liu X; Qiao T; Chen W
Oncol Lett; 2020 Mar; 19(3):1881-1889. PubMed ID: 32194683
[TBL] [Abstract][Full Text] [Related]
59. Identification of dysregulated canonical pathways associated with pathogenesis and progression of Amyotrophic Lateral Sclerosis-An integrated bioinformatics approach.
Datta A; Udhaya Kumar S; D'costa M; Bothe A; Thirumal Kumar D; Zayed H; George Priya Doss C
Adv Protein Chem Struct Biol; 2023; 134():21-52. PubMed ID: 36858735
[TBL] [Abstract][Full Text] [Related]
60. 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]
[Previous] [Next] [New Search]
