BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

162 related articles for article (PubMed ID: 36360294)

  • 1. Identifying Prognostic Biomarkers Related to m6A Modification and Immune Infiltration in Renal Cell Carcinoma.
    Ye J; Li P; Zhang H; Wu Q; Yang D
    Genes (Basel); 2022 Nov; 13(11):. PubMed ID: 36360294
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of a Two-m6A RNA Methylation Regulator Risk Signature as an Independent Prognostic Biomarker in Papillary Renal Cell Carcinoma by Bioinformatic Analysis.
    Yang F; Zhao G; Ge L; Song Y; Hong K; Zhang H; Liu C; Hong P; Ma L
    Biomed Res Int; 2021; 2021():4582082. PubMed ID: 33628782
    [TBL] [Abstract][Full Text] [Related]  

  • 3. m6A RNA methylation regulators correlate with malignant progression and have potential predictive values in clear cell renal cell carcinoma.
    Zhang QJ; Luan JC; Song LB; Cong R; Ji CJ; Zhou X; Xia JD; Song NH
    Exp Cell Res; 2020 Jul; 392(1):112015. PubMed ID: 32333907
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatics analysis of C3 and CXCR4 demonstrates their potential as prognostic biomarkers in clear cell renal cell carcinoma (ccRCC).
    Quan J; Bai Y; Yang Y; Han EL; Bai H; Zhang Q; Zhang D
    BMC Cancer; 2021 Jul; 21(1):814. PubMed ID: 34266404
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comprehensive Analysis of N6-Methyladenosine-Related IncRNAs Prognostic Signature and the Associated Immune Infiltrates in Kidney Renal Clear Cell Carcinoma.
    Chen X; Wang L; Tu J; Pan X; Li Y; Yin H; Wang M; Yuan X
    Crit Rev Eukaryot Gene Expr; 2022; 32(1):79-98. PubMed ID: 35377983
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Investigating the prognostic value of m6A methylation-related genes in renal cell carcinoma patients.
    Ge GC; Wang CH
    Eur Rev Med Pharmacol Sci; 2023 Dec; 27(24):11932-11946. PubMed ID: 38164857
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
    Li F; Guo P; Dong K; Guo P; Wang H; Lv X
    J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
    [No Abstract]   [Full Text] [Related]  

  • 8. Integrated analysis on the N6-methyladenosine-related long noncoding RNAs prognostic signature, immune checkpoints, and immune cell infiltration in clear cell renal cell carcinoma.
    Qiu Y; Wang X; Fan Z; Zhan S; Jiang X; Huang J
    Immun Inflamm Dis; 2021 Dec; 9(4):1596-1612. PubMed ID: 34432955
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of METTL14 in Kidney Renal Clear Cell Carcinoma Using Bioinformatics Analysis.
    Wang Q; Zhang H; Chen Q; Wan Z; Gao X; Qian W
    Dis Markers; 2019; 2019():5648783. PubMed ID: 31976022
    [TBL] [Abstract][Full Text] [Related]  

  • 10. FMR1 is identified as an immune-related novel prognostic biomarker for renal clear cell carcinoma: A bioinformatics analysis of TAZ/YAP.
    Wu S; He H; Huang J; Jiang S; Deng X; Huang J; Chen Y; Jiang Y
    Math Biosci Eng; 2022 Jun; 19(9):9295-9320. PubMed ID: 35942760
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The analysis of N6-methyladenosine regulators impacting the immune infiltration in clear cell renal cell carcinoma.
    Li J; Cao J; Liang C; Deng R; Li P; Tian J
    Med Oncol; 2022 Jan; 39(4):41. PubMed ID: 35092501
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis.
    Xu Y; Kong D; Li Z; Qian L; Li J; Zou C
    PLoS One; 2021; 16(8):e0254868. PubMed ID: 34358255
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bioinformatic identification of renal cell carcinoma microenvironment-associated biomarkers with therapeutic and prognostic value.
    Zeng Q; Zhang W; Li X; Lai J; Li Z
    Life Sci; 2020 Feb; 243():117273. PubMed ID: 31926244
    [TBL] [Abstract][Full Text] [Related]  

  • 14. N
    Li C; Zhu M; Gao C; Lu F; Chen H; Liu J; Zhong W
    Front Biosci (Landmark Ed); 2024 Jan; 29(1):33. PubMed ID: 38287827
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Methyltransferase-like 14 suppresses growth and metastasis of renal cell carcinoma by decreasing long noncoding RNA NEAT1.
    Liu T; Wang H; Fu Z; Wang Z; Wang J; Gan X; Wang A; Wang L
    Cancer Sci; 2022 Feb; 113(2):446-458. PubMed ID: 34813676
    [TBL] [Abstract][Full Text] [Related]  

  • 16. NPM1 Is a Prognostic Biomarker Involved in Immune Infiltration of Lung Adenocarcinoma and Associated With m6A Modification and Glycolysis.
    Liu XS; Zhou LM; Yuan LL; Gao Y; Kui XY; Liu XY; Pei ZJ
    Front Immunol; 2021; 12():724741. PubMed ID: 34335635
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CRYL1 is a Potential Prognostic Biomarker of Clear Cell Renal Cell Carcinoma Correlated with Immune Infiltration and Cuproptosis.
    Li P; Xu Q; Liu K; Ye J
    Technol Cancer Res Treat; 2024; 23():15330338241237439. PubMed ID: 38497139
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Hub Long Noncoding RNAs with m6A Modification for Signatures and Prognostic Values in Kidney Renal Clear Cell Carcinoma.
    Lin G; Wang H; Wu Y; Wang K; Li G
    Front Mol Biosci; 2021; 8():682471. PubMed ID: 34295922
    [No Abstract]   [Full Text] [Related]  

  • 19. Influence of N6-methyladenosine (m6A) modification on cell phenotype in Alzheimer's disease.
    Ni P; Pan K; Zhao B
    PLoS One; 2023; 18(8):e0289068. PubMed ID: 37549144
    [TBL] [Abstract][Full Text] [Related]  

  • 20. N6-methyladenosine Modification-Related Long Non-Coding RNAs are Potential Biomarkers for Predicting the Prognosis of Patients With Osteosarcoma.
    Yang K; Wang F; Li K; Peng G; Yang H; Xu H; Xiang Y; Sun H
    Technol Cancer Res Treat; 2022; 21():15330338221085354. PubMed ID: 35422168
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 9.