These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
175 related articles for article (PubMed ID: 31746380)
1. Screening and identification of key biomarkers in prostate cancer using bioinformatics. Li S; Hou J; Xu W Mol Med Rep; 2020 Jan; 21(1):311-319. PubMed ID: 31746380 [TBL] [Abstract][Full Text] [Related]
2. Screening of hub genes and evaluation of the growth regulatory role of CD44 in metastatic prostate cancer. Lin J; Chen Z; Li Z; Nong D; Li X; Huang G; Hao N; Liang J; Li W Oncol Rep; 2021 Sep; 46(3):. PubMed ID: 34296309 [TBL] [Abstract][Full Text] [Related]
3. Bioinformatics analysis identified hub genes in prostate cancer tumorigenesis and metastasis. Gu P; Yang D; Zhu J; Zhang M; He X Math Biosci Eng; 2021 Apr; 18(4):3180-3196. PubMed ID: 34198380 [TBL] [Abstract][Full Text] [Related]
4. Identification of prostate cancer hub genes and therapeutic agents using bioinformatics approach. Fang E; Zhang X; Wang Q; Wang D Cancer Biomark; 2017 Dec; 20(4):553-561. PubMed ID: 28800317 [TBL] [Abstract][Full Text] [Related]
5. Identification of UBE2C as hub gene in driving prostate cancer by integrated bioinformatics analysis. Wang Y; Wang J; Tang Q; Ren G PLoS One; 2021; 16(2):e0247827. PubMed ID: 33630978 [TBL] [Abstract][Full Text] [Related]
6. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis. Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250 [TBL] [Abstract][Full Text] [Related]
7. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis. Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947 [TBL] [Abstract][Full Text] [Related]
8. In silico identification of key genes and signaling pathways targeted by a panel of signature microRNAs in prostate cancer. Baruah MM; Sharma N Med Oncol; 2019 Apr; 36(5):43. PubMed ID: 30937635 [TBL] [Abstract][Full Text] [Related]
9. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis. Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743 [TBL] [Abstract][Full Text] [Related]
10. Identification of Potential miRNAs Biomarkers for High-Grade Prostate Cancer by Integrated Bioinformatics Analysis. Foj L; Filella X Pathol Oncol Res; 2019 Oct; 25(4):1445-1456. PubMed ID: 30367364 [TBL] [Abstract][Full Text] [Related]
11. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer. Yang C; Gong A Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215 [No 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. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis. Hu S; Liao Y; Chen L Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925 [TBL] [Abstract][Full Text] [Related]
14. [Bioinformatics-based identification of the key genes associated with prostate cancer]. Zhao HB; Xu GB; Yang WQ; Li XZ; Chen SX; Gan Y; Su ZM; Sheng M; Zeng YR Zhonghua Nan Ke Xue; 2021 Jun; 27(6):489-498. PubMed ID: 34914287 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. Identification of differentially expressed genes and enriched pathways in lung cancer using bioinformatics analysis. Long T; Liu Z; Zhou X; Yu S; Tian H; Bao Y Mol Med Rep; 2019 Mar; 19(3):2029-2040. PubMed ID: 30664219 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer. Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489 [TBL] [Abstract][Full Text] [Related]
19. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis. Li F; Guo P; Dong K; Guo P; Wang H; Lv X J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342 [No Abstract] [Full Text] [Related]
20. 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] [Next] [New Search]