175 related articles for article (PubMed ID: 37251946)
1. Identification of the hub genes associated with prostate cancer tumorigenesis.
Zhu H; Lin Q; Gao X; Huang X
Front Oncol; 2023; 13():1168772. PubMed ID: 37251946
[TBL] [Abstract][Full Text] [Related]
2. Identification of key genes and multiple molecular pathways of metastatic process in prostate cancer.
Guo L; Lin M; Cheng Z; Chen Y; Huang Y; Xu K
PeerJ; 2019; 7():e7899. PubMed ID: 31637138
[TBL] [Abstract][Full Text] [Related]
3. [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]
4. Integrated Network Analysis to Determine CNN1, MYL9, TAGLN, and SORBS1 as Potential Key Genes Associated with Prostate Cancer.
Li C; Pang L; Jin F; Song Y; Zhou D; Song Y; Li Y; Jin S; Zhang L; Liang W; Shen X; Li J; She B; Wang C; Ma L
Clin Lab; 2023 Jul; 69(7):. PubMed ID: 37436378
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Identification of candidate hub genes correlated with the pathogenesis, diagnosis, and prognosis of prostate cancer by integrated bioinformatics analysis.
Wei T; Liang Y; Anderson C; Zhang M; Zhu N; Xie J
Transl Cancer Res; 2022 Oct; 11(10):3548-3571. PubMed ID: 36388030
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Identification of hub genes predicting the development of prostate cancer from benign prostate hyperplasia and analyzing their clinical value in prostate cancer by bioinformatic analysis.
Chen X; Ma J; Xu C; Wang L; Yao Y; Wang X; Zi T; Bian C; Wu D; Wu G
Discov Oncol; 2022 Jun; 13(1):54. PubMed ID: 35768705
[TBL] [Abstract][Full Text] [Related]
9. Combined analysis and validation for DNA methylation and gene expression profiles associated with prostate cancer.
Tong Y; Song Y; Deng S
Cancer Cell Int; 2019; 19():50. PubMed ID: 30867653
[TBL] [Abstract][Full Text] [Related]
10. Identification of key candidate genes and biological pathways in bladder cancer.
Gao X; Chen Y; Chen M; Wang S; Wen X; Zhang S
PeerJ; 2018; 6():e6036. PubMed ID: 30533316
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Identification of aberrantly methylated differentially expressed genes in prostate carcinoma using integrated bioinformatics.
Wu K; Yin X; Jin Y; Liu F; Gao J
Cancer Cell Int; 2019; 19():51. PubMed ID: 30872976
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Identification of prognostic risk factors for pancreatic cancer using bioinformatics analysis.
Jin D; Jiao Y; Ji J; Jiang W; Ni W; Wu Y; Ni R; Lu C; Qu L; Ni H; Liu J; Xu W; Xiao M
PeerJ; 2020; 8():e9301. PubMed ID: 32587798
[TBL] [Abstract][Full Text] [Related]
15. Identification of Hub Genes Associated with Progression and Prognosis of Bladder Cancer by Integrated Bioinformatics Analysis.
Jiang S; Ma J; Wei S; Ren P; Liu J; Zhou Y; Liu D; Zhang X
Arch Esp Urol; 2022 Nov; 75(9):779-790. PubMed ID: 36472061
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Integrated bioinformatics analysis of potential biomarkers for pancreatic cancer.
Shi H; Xu H; Chai C; Qin Z; Zhou W
J Clin Lab Anal; 2022 May; 36(5):e24381. PubMed ID: 35403252
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Identification of potential biomarkers of vascular calcification using bioinformatics analysis and validation
Chen C; Wu Y; Lu HL; Liu K; Qin X
PeerJ; 2022; 10():e13138. PubMed ID: 35313524
[TBL] [Abstract][Full Text] [Related]
20. Comprehensive analysis of biomarkers for prostate cancer based on weighted gene co-expression network analysis.
Chen X; Wang J; Peng X; Liu K; Zhang C; Zeng X; Lai Y
Medicine (Baltimore); 2020 Apr; 99(14):e19628. PubMed ID: 32243390
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]