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 *

895 related articles for article (PubMed ID: 33080677)

  • 1. Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.
    Zhou R; Liu D; Zhu J; Zhang T
    Medicine (Baltimore); 2020 Oct; 99(42):e22434. PubMed ID: 33080677
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of key biomarkers and functional pathways in osteosarcomas with lung metastasis: Evidence from bioinformatics analysis.
    Liu D; Zhou R; Zhou A
    Medicine (Baltimore); 2021 Feb; 100(6):e24471. PubMed ID: 33578541
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.
    Zhong X; Huang G; Ma Q; Liao H; Liu C; Pu W; Xu L; Cai Y; Guo X
    Medicine (Baltimore); 2019 Jul; 98(27):e16269. PubMed ID: 31277149
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of potential core genes in esophageal carcinoma using bioinformatics analysis.
    Yang X; Tian M; Zhang W; Chai T; Shen Z; Kang M; Lin J
    Medicine (Baltimore); 2021 Jul; 100(27):e26428. PubMed ID: 34232175
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
    Yang B; Dong K; Guo P; Guo P; Jie G; Zhang G; Li T
    J Comput Biol; 2020 Jan; 27(1):40-54. PubMed ID: 31424263
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
    Yu-Jing T; Wen-Jing T; Biao T
    Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
    Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
    Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
    [No Abstract]   [Full Text] [Related]  

  • 8. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
    Zhang H; Zhong J; Tu Y; Liu B; Chen Z; Luo Y; Tang Y; Xiao F; Zhong J
    Biomed Res Int; 2019; 2019():2615921. PubMed ID: 31950035
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integrated Bioinformatics Analysis of mRNAs and miRNAs Identified Potential Biomarkers of Oral Squamous Cell Carcinoma.
    Amiri-Dashatan N; Koushki M; Jalilian A; Ahmadi NA; Rezaei-Tavirani M
    Asian Pac J Cancer Prev; 2020 Jun; 21(6):1841-1848. PubMed ID: 32597160
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
    Han BA; Yang XP; Hosseini DK; Zhang P; Zhang Y; Yu JT; Chen S; Zhang F; Zhou T; Sun HY
    Sci Rep; 2020 Jun; 10(1):9735. PubMed ID: 32546690
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hub Genes and Long Noncoding RNAs That Regulates It Associated with the Prognosis of Esophageal Squamous Cell Carcinoma Based on Bioinformatics Analysis.
    Lu J; Li R; Fang M; Ke S
    Comput Math Methods Med; 2022; 2022():6027058. PubMed ID: 36238478
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
    Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
    Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrative genomics analysis of hub genes and their relationship with prognosis and signaling pathways in esophageal squamous cell carcinoma.
    Chen FF; Zhang SR; Peng H; Chen YZ; Cui XB
    Mol Med Rep; 2019 Oct; 20(4):3649-3660. PubMed ID: 31485619
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell carcinoma.
    Peng H; Wang S; Pang L; Yang L; Chen Y; Cui XB
    Mol Omics; 2019 Feb; 15(1):88-100. PubMed ID: 30706927
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Integrative bioinformatics approaches for identifying potential biomarkers and pathways involved in non-obstructive azoospermia.
    Hu T; Luo S; Xi Y; Tu X; Yang X; Zhang H; Feng J; Wang C; Zhang Y
    Transl Androl Urol; 2021 Jan; 10(1):243-257. PubMed ID: 33532314
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
    Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
    Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Study on potential differentially expressed genes in stroke by bioinformatics analysis.
    Yang X; Wang P; Yan S; Wang G
    Neurol Sci; 2022 Feb; 43(2):1155-1166. PubMed ID: 34313877
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
    Shang M; Zhang L; Chen X; Zheng S
    Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 45.