BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

350 related articles for article (PubMed ID: 26804550)

  • 1. Molecular mechanisms associated with breast cancer based on integrated gene expression profiling by bioinformatics analysis.
    Wu D; Han B; Guo L; Fan Z
    J Obstet Gynaecol; 2016 Jul; 36(5):615-21. PubMed ID: 26804550
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
    Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
    Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.
    Vastrad B; Vastrad C; Tengli A; Iliger S
    Arch Gynecol Obstet; 2018 Jan; 297(1):161-183. PubMed ID: 29063236
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection of critical genes associated with poor prognosis in breast cancer via integrated bioinformatics analyses.
    Liu D; Zhang J; Li L; Wang Q; Lan Y
    J BUON; 2020; 25(6):2537-2545. PubMed ID: 33455094
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. High-efficient Screening Method for Identification of Key Genes in Breast Cancer Through Microarray and Bioinformatics.
    Liu Z; Liang G; Tan L; Su AN; Jiang W; Gong C
    Anticancer Res; 2017 Aug; 37(8):4329-4335. PubMed ID: 28739725
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Integrated analysis of differentially expressed genes and pathways in triple‑negative breast cancer.
    Peng C; Ma W; Xia W; Zheng W
    Mol Med Rep; 2017 Mar; 15(3):1087-1094. PubMed ID: 28075450
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Screening of the prognostic targets for breast cancer based co-expression modules analysis.
    Liu H; Ye H
    Mol Med Rep; 2017 Oct; 16(4):4038-4044. PubMed ID: 28731166
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. Prognostic factors and genes associated with endometrial cancer based on gene expression profiling by bioinformatics analysis.
    Zhang Y; Zhang W; Li X; Li D; Zhang X; Yin Y; Deng X; Sheng X
    Arch Gynecol Obstet; 2016 Jun; 293(6):1287-95. PubMed ID: 26437953
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Identification of hub subnetwork based on topological features of genes in breast cancer.
    Zhuang DY; Jiang L; He QQ; Zhou P; Yue T
    Int J Mol Med; 2015 Mar; 35(3):664-74. PubMed ID: 25573623
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of the key pathways and genes involved in HER2-positive breast cancer with brain metastasis.
    Lu X; Gao C; Liu C; Zhuang J; Su P; Li H; Wang X; Sun C
    Pathol Res Pract; 2019 Aug; 215(8):152475. PubMed ID: 31178227
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Bioinformatics analysis of fibroblasts exposed to TGF‑β at the early proliferation phase of wound repair.
    Mi B; Liu G; Zhou W; Lv H; Zha K; Liu Y; Wu Q; Liu J
    Mol Med Rep; 2017 Dec; 16(6):8146-8154. PubMed ID: 28983581
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis.
    Zhang X; Cheng X; Liu H; Zheng C; Rao K; Fang Y; Zhou H; Xiong S
    Int J Mol Med; 2014 Sep; 34(3):863-9. PubMed ID: 24969630
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.