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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1128 related articles for article (PubMed ID: 29380534)

  • 1. Serum-based six-miRNA signature as a potential marker for EC diagnosis: Comparison with TCGA miRNAseq dataset and identification of miRNA-mRNA target pairs by integrated analysis of TCGA miRNAseq and RNAseq datasets.
    Sharma P; Saraya A; Sharma R
    Asia Pac J Clin Oncol; 2018 Oct; 14(5):e289-e301. PubMed ID: 29380534
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Differential expression profiles of microRNAs as potential biomarkers for the early diagnosis of lung cancer.
    Zhang Y; Sui J; Shen X; Li C; Yao W; Hong W; Peng H; Pu Y; Yin L; Liang G
    Oncol Rep; 2017 Jun; 37(6):3543-3553. PubMed ID: 28498428
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of Key Prognostic-Related miRNA-mRNA Pairs in the Progression of Endometrial Carcinoma.
    Dong Y; Zhang T; Li X; Yu F; Yu H; Shao S
    Gynecol Obstet Invest; 2022; 87(1):12-21. PubMed ID: 35081534
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of prognostic miRNA biomarkers for esophageal cancer based on The Cancer Genome Atlas and Gene Expression Omnibus.
    Xue J; Jia E; Ren N; Xin H
    Medicine (Baltimore); 2021 Feb; 100(7):e24832. PubMed ID: 33607850
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Global analysis of miRNA-mRNA regulation pair in bladder cancer.
    Fan X; Zou X; Liu C; Peng S; Zhang S; Zhou X; Wang T; Zhu W
    World J Surg Oncol; 2022 Mar; 20(1):66. PubMed ID: 35241117
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Five miRNAs Considered as Molecular Targets for Predicting Esophageal Cancer.
    Zhao JY; Wang F; Li Y; Zhang XB; Yang L; Wang W; Xu H; Liu DZ; Zhang LY
    Med Sci Monit; 2015 Oct; 21():3222-30. PubMed ID: 26498375
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of molecular targets for esophageal carcinoma diagnosis using miRNA-seq and RNA-seq data from The Cancer Genome Atlas: a study of 187 cases.
    Zeng JH; Xiong DD; Pang YY; Zhang Y; Tang RX; Luo DZ; Chen G
    Oncotarget; 2017 May; 8(22):35681-35699. PubMed ID: 28415685
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dissecting the biological relationship between TCGA miRNA and mRNA sequencing data using MMiRNA-Viewer.
    Bai Y; Ding L; Baker S; Bai JM; Rath E; Jiang F; Wu J; Jiang H; Stuart G
    BMC Bioinformatics; 2016 Oct; 17(Suppl 13):336. PubMed ID: 27766936
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrating MicroRNA Expression Profiling Studies to Systematically Evaluate the Diagnostic Value of MicroRNAs in Pancreatic Cancer and Validate Their Prognostic Significance with the Cancer Genome Atlas Data.
    Zhang Z; Pan B; Lv S; Ji Z; Wu Q; Lang R; He Q; Zhao X
    Cell Physiol Biochem; 2018; 49(2):678-695. PubMed ID: 30165365
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integrated analysis of genome-wide miRNAs and targeted gene expression in esophageal squamous cell carcinoma (ESCC) and relation to prognosis.
    Yang H; Su H; Hu N; Wang C; Wang L; Giffen C; Goldstein AM; Lee MP; Taylor PR
    BMC Cancer; 2020 May; 20(1):388. PubMed ID: 32375686
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A four-miRNA signature as a novel biomarker for predicting survival in endometrial cancer.
    Wu YS; Lin H; Chen D; Yi Z; Zeng B; Jiang Y; Ren G
    Gene; 2019 May; 697():86-93. PubMed ID: 30779946
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel three‑miRNA signature predicts survival in cholangiocarcinoma based on RNA‑Seq data.
    Cao J; Sun L; Li J; Zhou C; Cheng L; Chen K; Yan B; Qian W; Ma Q; Duan W
    Oncol Rep; 2018 Sep; 40(3):1422-1434. PubMed ID: 29956786
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of miRNA/mRNA-Negative Regulation Pairs in Nasopharyngeal Carcinoma.
    Liu M; Zhu K; Qian X; Li W
    Med Sci Monit; 2016 Jun; 22():2215-34. PubMed ID: 27350400
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Screening of Target Genes and Regulatory Function of miRNAs as Prognostic Indicators for Prostate Cancer.
    Xiaoli Z; Yawei W; Lianna L; Haifeng L; Hui Z
    Med Sci Monit; 2015 Dec; 21():3748-59. PubMed ID: 26628405
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel prognostic mRNA/miRNA signature for esophageal cancer and its immune landscape in cancer progression.
    Zhao Y; Xu L; Wang X; Niu S; Chen H; Li C
    Mol Oncol; 2021 Apr; 15(4):1088-1109. PubMed ID: 33463006
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Three-microRNA signature identified by bioinformatics analysis predicts prognosis of gastric cancer patients.
    Zhang C; Zhang CD; Ma MH; Dai DQ
    World J Gastroenterol; 2018 Mar; 24(11):1206-1215. PubMed ID: 29568201
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Integrative analysis of negatively regulated miRNA-mRNA axes for esophageal squamous cell carcinoma.
    Peng S; Zhang S; Fan X; Zhu J; Liu C; Yue Y; Wang T; Zhu W
    Cancer Biomark; 2023; 37(3):191-203. PubMed ID: 37302024
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Global Analysis of miRNA-mRNA Interaction Network in Breast Cancer with Brain Metastasis.
    Li Z; Peng Z; Gu S; Zheng J; Feng D; Qin Q; He J
    Anticancer Res; 2017 Aug; 37(8):4455-4468. PubMed ID: 28739740
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Key miRNAs and target genes played roles in the development of clear cell renal cell carcinoma.
    Liu J; Liu B; Guo Y; Chen Z; Sun W; Gao W; Wu H; Wang Y
    Cancer Biomark; 2018; 23(2):279-290. PubMed ID: 30198869
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Next generation sequencing profiling identifies miR-574-3p and miR-660-5p as potential novel prognostic markers for breast cancer.
    Krishnan P; Ghosh S; Wang B; Li D; Narasimhan A; Berendt R; Graham K; Mackey JR; Kovalchuk O; Damaraju S
    BMC Genomics; 2015 Sep; 16():735. PubMed ID: 26416693
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 57.