BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

171 related articles for article (PubMed ID: 36335815)

  • 1. scBPGRN: Integrating single-cell multi-omics data to construct gene regulatory networks based on BP neural network.
    Xuan C; Wang Y; Zhang B; Wu H; Ding T; Gao J
    Comput Biol Med; 2022 Dec; 151(Pt A):106249. PubMed ID: 36335815
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bioinformatics analysis of the interactions among lncRNA, miRNA and mRNA expression, genetic mutations and epigenetic modifications in hepatocellular carcinoma.
    Lin C; Yuan G; Hu Z; Zeng Y; Qiu X; Yu H; He S
    Mol Med Rep; 2019 Feb; 19(2):1356-1364. PubMed ID: 30535497
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of potential miRNA-mRNA regulatory network contributing to pathogenesis of HBV-related HCC.
    Lou W; Liu J; Ding B; Chen D; Xu L; Ding J; Jiang D; Zhou L; Zheng S; Fan W
    J Transl Med; 2019 Jan; 17(1):7. PubMed ID: 30602391
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Construction of a ceRNA network and a genomic-clinicopathologic nomogram to predict survival for HBV-related HCC.
    Huang K; Lu Z; Li L; Peng G; Zhou W; Ye Q
    Hum Cell; 2021 Nov; 34(6):1830-1842. PubMed ID: 34487338
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of Potentially Functional CircRNA-miRNA-mRNA Regulatory Network in Hepatocellular Carcinoma by Integrated Microarray Analysis.
    Lin X; Chen Y
    Med Sci Monit Basic Res; 2018 Apr; 24():70-78. PubMed ID: 29706616
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Gene regulatory network of hepatocellular carcinoma: a review].
    Liu X; Lian B; Lin Y
    Sheng Wu Gong Cheng Xue Bao; 2016 Oct; 32(10):1322-1331. PubMed ID: 29027443
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of Potential Diagnostic and Prognostic Pseudogenes in Hepatocellular Carcinoma Based on Pseudogene-miRNA-mRNA Competitive Network.
    Yan L; Yue C; Xu Y; Jiang X; Zhang L; Wu J
    Med Sci Monit; 2020 May; 26():e921895. PubMed ID: 32457285
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Construction of a disease-specific lncRNA-miRNA-mRNA regulatory network reveals potential regulatory axes and prognostic biomarkers for hepatocellular carcinoma.
    Zhang Q; Sun L; Zhang Q; Zhang W; Tian W; Liu M; Wang Y
    Cancer Med; 2020 Dec; 9(24):9219-9235. PubMed ID: 33232580
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of Hypoxia-Related Prognostic Signature and Competing Endogenous RNA Regulatory Axes in Hepatocellular Carcinoma.
    Tang Y; Zhang H; Chen L; Zhang T; Xu N; Huang Z
    Int J Mol Sci; 2022 Nov; 23(21):. PubMed ID: 36362375
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of invasion-metastasis-associated microRNAs in hepatocellular carcinoma based on bioinformatic analysis and experimental validation.
    Lou W; Chen J; Ding B; Chen D; Zheng H; Jiang D; Xu L; Bao C; Cao G; Fan W
    J Transl Med; 2018 Sep; 16(1):266. PubMed ID: 30268144
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Screening Prognosis-Related lncRNAs Based on WGCNA to Establish a New Risk Score for Predicting Prognosis in Patients with Hepatocellular Carcinoma.
    Zhou X; Dou M; Liu Z; Jiao D; Li Z; Chen J; Li J; Yao Y; Li L; Li Y; Han X
    J Immunol Res; 2021; 2021():5518908. PubMed ID: 34426790
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integrated Analysis of an lncRNA-Associated ceRNA Network Reveals Potential Biomarkers for Hepatocellular Carcinoma.
    Yang J; Xu QC; Wang ZY; Lu X; Pan LK; Wu J; Wang C
    J Comput Biol; 2021 Mar; 28(3):330-344. PubMed ID: 33185458
    [No Abstract]   [Full Text] [Related]  

  • 13. Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome for patients with hepatocellular carcinoma.
    Huang G; Wang C; Fu X
    Future Oncol; 2021 Nov; 17(33):4481-4495. PubMed ID: 34374301
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Gene expression, regulation of DEN and HBx induced HCC mice models and comparisons of tumor, para-tumor and normal tissues.
    Tang Q; Wang Q; Zhang Q; Lin SY; Zhu Y; Yang X; Guo AY
    BMC Cancer; 2017 Dec; 17(1):862. PubMed ID: 29254483
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comprehensive analyses of competing endogenous RNA networks reveal potential biomarkers for predicting hepatocellular carcinoma recurrence.
    Yan P; Huang Z; Mou T; Luo Y; Liu Y; Zhou B; Cao Z; Wu Z
    BMC Cancer; 2021 Apr; 21(1):436. PubMed ID: 33879119
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Integrated multi-omics analysis of the clinical relevance and potential regulatory mechanisms of splicing factors in hepatocellular carcinoma.
    Zhao YJ; Wu LY; Pang JS; Liao W; Chen YJ; He Y; Yang H
    Bioengineered; 2021 Dec; 12(1):3978-3992. PubMed ID: 34288818
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA‑sequencing.
    Liu Y; Yang Z; Du F; Yang Q; Hou J; Yan X; Geng Y; Zhao Y; Wang H
    Mol Med Rep; 2017 Nov; 16(5):6674-6682. PubMed ID: 28901494
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Constructing an integrated genetic and epigenetic cellular network for whole cellular mechanism using high-throughput next-generation sequencing data.
    Chen BS; Li CW
    BMC Syst Biol; 2016 Feb; 10():18. PubMed ID: 26897165
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Investigating the mechanism of hepatocellular carcinoma progression by constructing genetic and epigenetic networks using NGS data identification and big database mining method.
    Li CW; Chang PY; Chen BS
    Oncotarget; 2016 Nov; 7(48):79453-79473. PubMed ID: 27821810
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-omics data identified TP53 and LRP1B as key regulatory gene related to immune phenotypes via EPCAM in HCC.
    Shi L; Cao J; Lei X; Shi Y; Wu L
    Cancer Med; 2022 May; 11(10):2145-2158. PubMed ID: 35150083
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.