112 related articles for article (PubMed ID: 37081586)
1. Screening and introduction of key cell cycle microRNAs deregulated in colorectal cancer by integrated bioinformatics analysis.
Firouzjaei AA; Sharifi K; Khazaei M; Mohammadi-Yeganeh S; Aghaee-Bakhtiari SH
Chem Biol Drug Des; 2023 Jul; 102(1):137-152. PubMed ID: 37081586
[TBL] [Abstract][Full Text] [Related]
2. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.
Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R
Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Identification of Key Genes in Colorectal Cancer Regulated by miR-34a.
Wang T; Xu H; Liu X; Chen S; Zhou Y; Zhang X
Med Sci Monit; 2017 Dec; 23():5735-5743. PubMed ID: 29197895
[TBL] [Abstract][Full Text] [Related]
5. Identification of Key MicroRNAs and Genes between Colorectal Adenoma and Colorectal Cancer via Deep Learning on GEO Databases and Bioinformatics.
Zhang X; Jin M; Liu F; Qu H; Chen C
Contrast Media Mol Imaging; 2023; 2023():6457152. PubMed ID: 36793496
[TBL] [Abstract][Full Text] [Related]
6. Construction of an miRNA-mRNA regulatory network in colorectal cancer with bioinformatics methods.
Su Y; Zhang M; Zhang L; Chen S; Zhang D; Zhang X
Anticancer Drugs; 2019 Jul; 30(6):588-595. PubMed ID: 30601194
[TBL] [Abstract][Full Text] [Related]
7. Identification of Differentially Expressed MicroRNAs involved in the Pathogenesis of Colorectal Cancer.
Feng H; Xu M; Zhang Y; Han B; Wang J; Sun P
Clin Lab; 2018 May; 64(5):797-804. PubMed ID: 29739047
[TBL] [Abstract][Full Text] [Related]
8. Identifying microRNA-mRNA regulatory network in colorectal cancer by a combination of expression profile and bioinformatics analysis.
Fu J; Tang W; Du P; Wang G; Chen W; Li J; Zhu Y; Gao J; Cui L
BMC Syst Biol; 2012 Jun; 6():68. PubMed ID: 22703586
[TBL] [Abstract][Full Text] [Related]
9. Investigating potential molecular mechanisms of serum exosomal miRNAs in colorectal cancer based on bioinformatics analysis.
Wang H; Chen X; Bao L; Zhang X
Medicine (Baltimore); 2020 Sep; 99(37):e22199. PubMed ID: 32925795
[TBL] [Abstract][Full Text] [Related]
10. Identification and prediction of novel non-coding and coding RNA-associated competing endogenous RNA networks in colorectal cancer.
Liang Y; Zhang C; Ma MH; Dai DQ
World J Gastroenterol; 2018 Dec; 24(46):5259-5270. PubMed ID: 30581274
[TBL] [Abstract][Full Text] [Related]
11. Identification of hub genes, key miRNAs and potential molecular mechanisms of colorectal cancer.
Wu S; Wu F; Jiang Z
Oncol Rep; 2017 Oct; 38(4):2043-2050. PubMed ID: 28902367
[TBL] [Abstract][Full Text] [Related]
12. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
13. Construction of an miRNA‑gene regulatory network in colorectal cancer through integrated analysis of mRNA and miRNA microarrays.
Hu J; Yue X; Liu J; Kong D
Mol Med Rep; 2018 Dec; 18(6):5109-5116. PubMed ID: 30272280
[TBL] [Abstract][Full Text] [Related]
14. Identification of Serum Exosome-Derived circRNA-miRNA-TF-mRNA Regulatory Network in Postmenopausal Osteoporosis Using Bioinformatics Analysis and Validation in Peripheral Blood-Derived Mononuclear Cells.
Dong Q; Han Z; Tian L
Front Endocrinol (Lausanne); 2022; 13():899503. PubMed ID: 35757392
[TBL] [Abstract][Full Text] [Related]
15. Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.
Song F; Xuan Z; Yang X; Ye X; Pan Z; Fang Q
J Cell Biochem; 2020 Mar; 121(3):2690-2703. PubMed ID: 31692035
[TBL] [Abstract][Full Text] [Related]
16. Identification of miRNA-miRNA synergistic relationships in colorectal cancer.
Zhao X; Song H; Zuo Z; Zhu Y; Dong X; Lu X
Int J Biol Macromol; 2013 Apr; 55():98-103. PubMed ID: 23246904
[TBL] [Abstract][Full Text] [Related]
17. Identification of miRNA/mRNA-Negative Regulation Pairs in Nasopharyngeal Carcinoma.
Liu M; Zhu K; Qian X; Li W
Med Sci Monit; 2016 Jun; 22():2215-34. PubMed ID: 27350400
[TBL] [Abstract][Full Text] [Related]
18. Investigation of key miRNAs and target genes in bladder cancer using miRNA profiling and bioinformatic tools.
Canturk KM; Ozdemir M; Can C; Öner S; Emre R; Aslan H; Cilingir O; Ciftci E; Celayir FM; Aldemir O; Özen M; Artan S
Mol Biol Rep; 2014 Dec; 41(12):8127-35. PubMed ID: 25189652
[TBL] [Abstract][Full Text] [Related]
19. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
Yu C; Chen F; Jiang J; Zhang H; Zhou M
Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
[TBL] [Abstract][Full Text] [Related]
20. Genome-wide mRNA and miRNA expression profiling reveal multiple regulatory networks in colorectal cancer.
Vishnubalaji R; Hamam R; Abdulla MH; Mohammed MA; Kassem M; Al-Obeed O; Aldahmash A; Alajez NM
Cell Death Dis; 2015 Jan; 6(1):e1614. PubMed ID: 25611389
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
