BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

218 related articles for article (PubMed ID: 32317989)

  • 1. Identification of Key Genes and the Pathophysiology Associated With Major Depressive Disorder Patients Based on Integrated Bioinformatics Analysis.
    Zhang G; Xu S; Zhang Z; Zhang Y; Wu Y; An J; Lin J; Yuan Z; Shen L; Si T
    Front Psychiatry; 2020; 11():192. PubMed ID: 32317989
    [No Abstract]   [Full Text] [Related]  

  • 2. Identification of key genes and crucial pathways for major depressive disorder using peripheral blood samples and chronic unpredictable mild stress rat models.
    He J; Ren Z; Xia W; Zhou C; Bi B; Yu W; Zuo L
    PeerJ; 2021; 9():e11694. PubMed ID: 34414022
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrated bioinformatics analysis reveals novel hub genes closely associated with pathological mechanisms of immunoglobulin A nephropathy.
    Zhang D; Cao Y; Zuo Y; Wang Z; Mi X; Tang W
    Exp Ther Med; 2019 Aug; 18(2):1235-1245. PubMed ID: 31316619
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma.
    Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K
    Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis.
    Xiong Y; Mi BB; Liu MF; Xue H; Wu QP; Liu GH
    Med Sci Monit; 2019 Mar; 25():2246-2256. PubMed ID: 30916045
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of diagnostic markers for major depressive disorder by cross-validation of data from whole blood samples.
    Wang H; Zhang M; Xie Q; Yu J; Qi Y; Yue Q
    PeerJ; 2019; 7():e7171. PubMed ID: 31275757
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Comprehensive analysis of endoplasmic reticulum stress and immune infiltration in major depressive disorder.
    Zhang J; Xie S; Chen Y; Zhou X; Zheng Z; Yang L; Li Y
    Front Psychiatry; 2022; 13():1008124. PubMed ID: 36353576
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Weighted Gene Coexpression Network Analysis Identifies Specific Modules and Hub Genes Related to Major Depression.
    Zhang G; Xu S; Yuan Z; Shen L
    Neuropsychiatr Dis Treat; 2020; 16():703-713. PubMed ID: 32214815
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of differentially expressed genes, associated functional terms pathways, and candidate diagnostic biomarkers in inflammatory bowel diseases by bioinformatics analysis.
    Cheng C; Hua J; Tan J; Qian W; Zhang L; Hou X
    Exp Ther Med; 2019 Jul; 18(1):278-288. PubMed ID: 31258663
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Screening and identification of key biomarkers in bladder carcinoma: Evidence from bioinformatics analysis.
    Yan M; Jing X; Liu Y; Cui X
    Oncol Lett; 2018 Sep; 16(3):3092-3100. PubMed ID: 30127900
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Identification of Pathways and Key Genes in Venous Remodeling After Arteriovenous Fistula by Bioinformatics Analysis.
    Jie K; Feng W; Boxiang Z; Maofeng G; Jianbin Z; Zhaoxuan L; Yangyi Z; Liang C; Haobo S; Wensheng L; Guoping C; Jianping G; Xu H; Jianyan W
    Front Physiol; 2020; 11():565240. PubMed ID: 33363475
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification and Experimental Validation of Parkinson's Disease with Major Depressive Disorder Common Genes.
    Wang H; Dou S; Wang C; Gao W; Cheng B; Yan F
    Mol Neurobiol; 2023 Oct; 60(10):6092-6108. PubMed ID: 37418066
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Gene Expression, Network Analysis, and Drug Discovery of Neurofibromatosis Type 2-Associated Vestibular Schwannomas Based on Bioinformatics Analysis.
    Huang Q; Zhai SJ; Liao XW; Liu YC; Yin SH
    J Oncol; 2020; 2020():5976465. PubMed ID: 32733557
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Identification of key genes and pathways in pelvic organ prolapse based on gene expression profiling by bioinformatics analysis.
    Zhou Q; Hong L; Wang J
    Arch Gynecol Obstet; 2018 May; 297(5):1323-1332. PubMed ID: 29546564
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis.
    Zhu HM; Fei Q; Qian LX; Liu BL; He X; Yin L
    Oncol Lett; 2019 May; 17(5):4683-4694. PubMed ID: 30988824
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 11.