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 *

2833 related articles for article (PubMed ID: 33437215)

  • 21. Key Genes Associated with Prognosis and Tumor Infiltrating Immune Cells in Gastric Cancer Patients Identified by Cross-Database Analysis.
    Zhang T; Wang BF; Wang XY; Xiang L; Zheng P; Li HY; Tao PX; Wang DF; Gu BH; Chen H
    Cancer Biother Radiopharm; 2020 Nov; 35(9):696-710. PubMed ID: 32401038
    [No Abstract]   [Full Text] [Related]  

  • 22. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
    Yang Q; Li K; Li X; Liu J
    Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
    [No Abstract]   [Full Text] [Related]  

  • 23. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms.
    Guo T; Hou D; Yu D
    Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Identification of Key Genes in Gastric Cancer by Bioinformatics Analysis.
    Chong X; Peng R; Sun Y; Zhang L; Zhang Z
    Biomed Res Int; 2020; 2020():7658230. PubMed ID: 33015179
    [TBL] [Abstract][Full Text] [Related]  

  • 25. The identification of a common different gene expression signature in patients with colorectal cancer.
    Zhao ZW; Fan XX; Yang LL; Song JJ; Fang SJ; Tu JF; Chen MJ; Zheng LY; Wu FZ; Zhang DK; Ying XH; Ji JS
    Math Biosci Eng; 2019 Apr; 16(4):2942-2958. PubMed ID: 31137244
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Identifying Diagnostic and Prognostic Differentially Expressed Genes of Gastric Cancer Based on Bioinformatics Analyses of RNA-seq Data.
    Wang M; Jiang X; Xu S; Deng Y; Cao T; Cheng Y; Zhang WH; Zhang L; Hu J
    Genet Test Mol Biomarkers; 2022 Nov; 26(11):512-521. PubMed ID: 36383109
    [No Abstract]   [Full Text] [Related]  

  • 27. Identification of Hub Genes Associated with Tumor-Infiltrating Immune Cells and ECM Dynamics as the Potential Therapeutic Targets in Gastric Cancer through an Integrated Bioinformatic Analysis and Machine Learning Methods.
    Liu J; Cheng Z
    Comb Chem High Throughput Screen; 2023; 26(4):653-667. PubMed ID: 35996248
    [TBL] [Abstract][Full Text] [Related]  

  • 28. 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]  

  • 29. Cross‑validation of genes potentially associated with neoadjuvant chemotherapy and platinum‑based chemoresistance in epithelial ovarian carcinoma.
    Zhang K; Wang W; Chen L; Liu Y; Hu J; Guo F; Tian W; Wang Y; Xue F
    Oncol Rep; 2020 Sep; 44(3):909-926. PubMed ID: 32705213
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets.
    Shen Y; Dong S; Liu J; Zhang L; Zhang J; Zhou H; Dong W
    Biomed Res Int; 2020; 2020():9710421. PubMed ID: 32337286
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Identification of key genes and pathways of thyroid cancer by integrated bioinformatics analysis.
    Liu L; He C; Zhou Q; Wang G; Lv Z; Liu J
    J Cell Physiol; 2019 Dec; 234(12):23647-23657. PubMed ID: 31169306
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Screening key genes and biomarkers in gastrointestinal metaplasia that progress to gastric cancer by integrated bioinformatics analysis.
    Pang L; Yan X; Su D
    J Physiol Pharmacol; 2021 Dec; 72(6):. PubMed ID: 35485356
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Identification of hub genes in rheumatoid arthritis through an integrated bioinformatics approach.
    Wu R; Long L; Zhou Q; Su J; Su W; Zhu J
    J Orthop Surg Res; 2021 Jul; 16(1):458. PubMed ID: 34271942
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
    Yu C; Chen F; Jiang J; Zhang H; Zhou M
    Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. 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]  

  • 38. 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]  

  • 39. Identification of Core Prognosis-Related Candidate Genes in Chinese Gastric Cancer Population Based on Integrated Bioinformatics.
    Li M; Wang X; Liu J; Mao X; Li D; Wang Z; Tang Y; Wu S
    Biomed Res Int; 2020; 2020():8859826. PubMed ID: 33381592
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Comprehensive Analysis of Candidate Diagnostic and Prognostic Biomarkers Associated with Lung Adenocarcinoma.
    Li J; Liu X; Cui Z; Han G
    Med Sci Monit; 2020 Jun; 26():e922070. PubMed ID: 32578582
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 142.