306 related articles for article (PubMed ID: 30569120)
1. Expression and potential molecular mechanisms of miR‑204‑5p in breast cancer, based on bioinformatics and a meta‑analysis of 2,306 cases.
Cai KT; Liu AG; Wang ZF; Jiang HW; Zeng JJ; He RQ; Ma J; Chen G; Zhong JC
Mol Med Rep; 2019 Feb; 19(2):1168-1184. PubMed ID: 30569120
[TBL] [Abstract][Full Text] [Related]
2. Upregulated miR‑203a‑3p and its potential molecular mechanism in breast cancer: A study based on bioinformatics analyses and a comprehensive meta‑analysis.
Cai KT; Feng CX; Zhao JC; He RQ; Ma J; Zhong JC
Mol Med Rep; 2018 Dec; 18(6):4994-5008. PubMed ID: 30320391
[TBL] [Abstract][Full Text] [Related]
3. The role of upregulated miR-375 expression in breast cancer: An in vitro and in silico study.
Tang W; Li GS; Li JD; Pan WY; Shi Q; Xiong DD; Mo CH; Zeng JJ; Chen G; Feng ZB; Huang SN; Rong MH
Pathol Res Pract; 2020 Jan; 216(1):152754. PubMed ID: 31787478
[TBL] [Abstract][Full Text] [Related]
4. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
Fang E; Zhang X
Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
[TBL] [Abstract][Full Text] [Related]
5. Role of miR-452-5p in the tumorigenesis of prostate cancer: A study based on the Cancer Genome Atl(TCGA), Gene Expression Omnibus (GEO), and bioinformatics analysis.
Gao L; Zhang LJ; Li SH; Wei LL; Luo B; He RQ; Xia S
Pathol Res Pract; 2018 May; 214(5):732-749. PubMed ID: 29559248
[TBL] [Abstract][Full Text] [Related]
6. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
Wang Y; Zhang Y; Huang Q; Li C
Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
[TBL] [Abstract][Full Text] [Related]
7. Clinical Value of miR-101-3p and Biological Analysis of its Prospective Targets in Breast Cancer: A Study Based on The Cancer Genome Atlas (TCGA) and Bioinformatics.
Li CY; Xiong DD; Huang CQ; He RQ; Liang HW; Pan DH; Wang HL; Wang YW; Zhu HW; Chen G
Med Sci Monit; 2017 Apr; 23():1857-1871. PubMed ID: 28416776
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Screening and Identification of Key Biomarkers in Inflammatory Breast Cancer Through Integrated Bioinformatic Analyses.
Wu J; Lv Q; Huang H; Zhu M; Meng D
Genet Test Mol Biomarkers; 2020 Aug; 24(8):484-491. PubMed ID: 32598242
[No Abstract] [Full Text] [Related]
10. Identification of crucial hub genes and potential molecular mechanisms in breast cancer by integrated bioinformatics analysis and experimental validation.
Yadav DK; Sharma A; Dube P; Shaikh S; Vaghasia H; Rawal RM
Comput Biol Med; 2022 Oct; 149():106036. PubMed ID: 36096037
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Xu Z; Jiang P; He S
Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
[TBL] [Abstract][Full Text] [Related]
13. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
[TBL] [Abstract][Full Text] [Related]
16. Clinical value of miR-198-5p in lung squamous cell carcinoma assessed using microarray and RT-qPCR.
Liang YY; Huang JC; Tang RX; Chen WJ; Chen P; Cen WL; Shi K; Gao L; Gao X; Liu AG; Peng XT; Chen G; Huang SN; Fang YY; Gu YY
World J Surg Oncol; 2018 Feb; 16(1):22. PubMed ID: 29394946
[TBL] [Abstract][Full Text] [Related]
17. Potential role of microRNA‑223‑3p in the tumorigenesis of hepatocellular carcinoma: A comprehensive study based on data mining and bioinformatics.
Zhang R; Zhang LJ; Yang ML; Huang LS; Chen G; Feng ZB
Mol Med Rep; 2018 Feb; 17(2):2211-2228. PubMed ID: 29207133
[TBL] [Abstract][Full Text] [Related]
18. MiR-375: A prospective regulator in medullary thyroid cancer based on microarray data and bioinformatics analyses.
Shi L; Zhao SM; Luo Y; Zhang AW; Wei LH; Xie ZY; Li YY; Ma W
Pathol Res Pract; 2017 Nov; 213(11):1344-1354. PubMed ID: 29033189
[TBL] [Abstract][Full Text] [Related]
19. Identification of novel biomarkers in breast cancer via integrated bioinformatics analysis and experimental validation.
Wang N; Zhang H; Li D; Jiang C; Zhao H; Teng Y
Bioengineered; 2021 Dec; 12(2):12431-12446. PubMed ID: 34895070
[TBL] [Abstract][Full Text] [Related]
20. Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis.
Wu JR; Zhao Y; Zhou XP; Qin X
Biomed Pharmacother; 2020 Jan; 121():109647. PubMed ID: 31733575
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
