BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

138 related articles for article (PubMed ID: 35965520)

  • 1. Identification of critical genes associated with radiotherapy resistance in cervical cancer by bioinformatics.
    Zhang Z; Xiang K; Tan L; Du X; He H; Li D; Li L; Wen Q
    Front Oncol; 2022; 12():967386. PubMed ID: 35965520
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Identification of key genes and pathways of diagnosis and prognosis in cervical cancer by bioinformatics analysis.
    Yang HJ; Xue JM; Li J; Wan LH; Zhu YX
    Mol Genet Genomic Med; 2020 Jun; 8(6):e1200. PubMed ID: 32181600
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification and Analysis of Potential Key Genes Associated With Hepatocellular Carcinoma Based on Integrated Bioinformatics Methods.
    Li Z; Lin Y; Cheng B; Zhang Q; Cai Y
    Front Genet; 2021; 12():571231. PubMed ID: 33767726
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bioinformatics analysis of differentially expressed genes and pathways in the development of cervical cancer.
    Wu B; Xi S
    BMC Cancer; 2021 Jun; 21(1):733. PubMed ID: 34174849
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of Hub Genes as Potential Prognostic Biomarkers in Cervical Cancer Using Comprehensive Bioinformatics Analysis and Validation Studies.
    Xue H; Sun Z; Wu W; Du D; Liao S
    Cancer Manag Res; 2021; 13():117-131. PubMed ID: 33447084
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.
    Zheng MJ; Li X; Hu YX; Dong H; Gou R; Nie X; Liu Q; Ying-Ying H; Liu JJ; Lin B
    J Cell Physiol; 2019 Jul; 234(7):11023-11036. PubMed ID: 30633343
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of potential biomarkers in cervical cancer with combined public mRNA and miRNA expression microarray data analysis.
    Wang S; Chen X
    Oncol Lett; 2018 Oct; 16(4):5200-5208. PubMed ID: 30250588
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of candidate biomarkers correlated with the diagnosis and prognosis of cervical cancer via integrated bioinformatics analysis.
    Dai F; Chen G; Wang Y; Zhang L; Long Y; Yuan M; Yang D; Liu S; Cheng Y; Zhang L
    Onco Targets Ther; 2019; 12():4517-4532. PubMed ID: 31354287
    [No Abstract]   [Full Text] [Related]  

  • 9. Identification of Core Prognosis-Related Candidate Genes in Cervical Cancer via Integrated Bioinformatical Analysis.
    Wei J; Wang Y; Shi K; Wang Y
    Biomed Res Int; 2020; 2020():8959210. PubMed ID: 32258155
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
    Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
    BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis.
    Xu Z; Zhou Y; Shi F; Cao Y; Dinh TLA; Wan J; Zhao M
    Oncol Lett; 2017 Apr; 13(4):2784-2790. PubMed ID: 28454467
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of key pathways and genes in the progression of cervical cancer using bioinformatics analysis.
    Wu K; Yi Y; Liu F; Wu W; Chen Y; Zhang W
    Oncol Lett; 2018 Jul; 16(1):1003-1009. PubMed ID: 29963176
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Exploring a novel seven-gene marker and mitochondrial gene TMEM38A for predicting cervical cancer radiotherapy sensitivity using machine learning algorithms.
    Wang J; Mou X; Lu H; Jiang H; Xian Y; Wei X; Huang Z; Tang S; Cen H; Dong M; Liang Y; Shi G
    Front Endocrinol (Lausanne); 2023; 14():1302074. PubMed ID: 38327905
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
    Yang C; Gong A
    Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
    [No Abstract]   [Full Text] [Related]  

  • 16. Identification of differentially expressed genes and signaling pathways in ovarian cancer by integrated bioinformatics analysis.
    Yang X; Zhu S; Li L; Zhang L; Xian S; Wang Y; Cheng Y
    Onco Targets Ther; 2018; 11():1457-1474. PubMed ID: 29588600
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Collagen family genes and related genes might be associated with prognosis of patients with gastric cancer: an integrated bioinformatics analysis and experimental validation.
    Weng K; Huang Y; Deng H; Wang R; Luo S; Wu H; Chen J; Long M; Hao W
    Transl Cancer Res; 2020 Oct; 9(10):6246-6262. PubMed ID: 35117235
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
    Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
    J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Differentially expressed EREG and SPP1 are independent prognostic markers in cervical squamous cell carcinoma.
    Zhang L; Nan F; Yang L; Dong Y; Tian Y
    J Obstet Gynaecol Res; 2022 Jul; 48(7):1848-1858. PubMed ID: 35491469
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.