BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

243 related articles for article (PubMed ID: 37185598)

  • 1. Genes whose expressions in the primary lung squamous cell carcinoma are able to accurately predict the progression of metastasis through lymphatic system, inferred from a bioinformatics analyses.
    Khashei Varnamkhasti K; Moghanibashi M; Naeimi S
    Sci Rep; 2023 Apr; 13(1):6733. PubMed ID: 37185598
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using biological information to analyze potential miRNA-mRNA regulatory networks in the plasma of patients with non-small cell lung cancer.
    Zhang W; Zhang Q; Che L; Xie Z; Cai X; Gong L; Li Z; Liu D; Liu S
    BMC Cancer; 2022 Mar; 22(1):299. PubMed ID: 35313857
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Lymph node metastasis in lung squamous cell carcinoma and identification of metastasis-related genes based on the Cancer Genome Atlas.
    Dong M; Gong H; Li T; Li X; Liu J; Zhang H; Liu M; Chen G; Liu H; Chen J
    Cancer Med; 2019 Oct; 8(14):6280-6294. PubMed ID: 31482686
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatics Analysis of mRNAs and miRNAs for Identifying Potential Biomarkers in Lung Adenosquamous Carcinoma.
    Nie J; Gong L; Li Z; Ou D; Zhang L; Liu Y; Zhang J; Liu D
    Comput Math Methods Med; 2022; 2022():5851269. PubMed ID: 35281953
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Genome-wide analysis of prognostic-related lncRNAs, miRNAs and mRNAs forming a competing endogenous RNA network in lung squamous cell carcinoma.
    Ju Q; Zhao YJ; Ma S; Li XM; Zhang H; Zhang SQ; Yang YM; Yan SX
    J Cancer Res Clin Oncol; 2020 Jul; 146(7):1711-1723. PubMed ID: 32356177
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Implications of ZNF334 gene in lymph node metastasis of lung SCC: potential bypassing of cellular senescence.
    Khashei Varnamkhasti K; Moghanibashi M; Naeimi S
    J Transl Med; 2024 Apr; 22(1):372. PubMed ID: 38637790
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
    Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
    Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Common and distinct features of potentially predictive biomarkers in small cell lung carcinoma and large cell neuroendocrine carcinoma of the lung by systematic and integrated analysis.
    Dong S; Liang J; Zhai W; Yu Z
    Mol Genet Genomic Med; 2020 Mar; 8(3):e1126. PubMed ID: 31981472
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Construction of a competing endogenous RNA network using differentially expressed lncRNAs, miRNAs and mRNAs in non‑small cell lung cancer.
    Wang XW; Guo QQ; Wei Y; Ren KM; Zheng FS; Tang J; Zhang HY; Zhao JG
    Oncol Rep; 2019 Dec; 42(6):2402-2415. PubMed ID: 31638248
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of key microRNAs and hub genes in non-small-cell lung cancer using integrative bioinformatics and functional analyses.
    Song F; Xuan Z; Yang X; Ye X; Pan Z; Fang Q
    J Cell Biochem; 2020 Mar; 121(3):2690-2703. PubMed ID: 31692035
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Integrated Bioinformatics Analysis for the Screening of Hub Genes and Therapeutic Drugs in Hepatocellular Carcinoma.
    Su Q; Li W; Zhang X; Wu R; Zheng K; Zhou T; Dong Y; He Y; Wang D; Ran J
    Curr Pharm Biotechnol; 2023; 24(8):1035-1058. PubMed ID: 35762549
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bioinformatics-based analysis of the lncRNA-miRNA-mRNA and TF regulatory networks reveals functional genes in esophageal squamous cell carcinoma.
    Ye Z; Fang J; Wang Z; Wang L; Li B; Liu T; Wang Y; Hua J; Wang F; Fu Z
    Biosci Rep; 2020 Aug; 40(8):. PubMed ID: 32662828
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrated bioinformatics combined with machine learning to analyze shared biomarkers and pathways in psoriasis and cervical squamous cell carcinoma.
    Liu L; Yin P; Yang R; Zhang G; Wu C; Zheng Y; Wu S; Liu M
    Front Immunol; 2024; 15():1351908. PubMed ID: 38863714
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Gene expression profiling via bioinformatics analysis reveals biomarkers in laryngeal squamous cell carcinoma.
    Guan GF; Zheng Y; Wen LJ; Zhang DJ; Yu DJ; Lu YQ; Zhao Y; Zhang H
    Mol Med Rep; 2015 Aug; 12(2):2457-64. PubMed ID: 25936657
    [TBL] [Abstract][Full Text] [Related]  

  • 16. miRNA and mRNA Expression Profiles Associated with Lymph Node Metastasis and Prognosis in Penile Carcinoma.
    Murta CB; Furuya TK; Carrasco AGM; Uno M; Sichero L; Villa LL; Faraj SF; Coelho RF; Guglielmetti GB; Cordeiro MD; Leite KRM; Nahas WC; Chammas R; Pontes J
    Int J Mol Sci; 2022 Jun; 23(13):. PubMed ID: 35806108
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Identified GNGT1 and NMU as Combined Diagnosis Biomarker of Non-Small-Cell Lung Cancer Utilizing Bioinformatics and Logistic Regression.
    Zhang JJ; Hong J; Ma YS; Shi Y; Zhang DD; Yang XL; Jia CY; Yin YZ; Jiang GX; Fu D; Yu F
    Dis Markers; 2021; 2021():6696198. PubMed ID: 33505535
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Identification and validation of key genes associated with non-small-cell lung cancer.
    Ma Q; Xu Y; Liao H; Cai Y; Xu L; Xiao D; Liu C; Pu W; Zhong X; Guo X
    J Cell Physiol; 2019 Dec; 234(12):22742-22752. PubMed ID: 31127628
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of lung adenocarcinoma biomarkers based on bioinformatic analysis and human samples.
    Dong S; Men W; Yang S; Xu S
    Oncol Rep; 2020 May; 43(5):1437-1450. PubMed ID: 32323809
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.