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 *

316 related articles for article (PubMed ID: 33968738)

  • 21. A prognostic nomogram for lung adenocarcinoma based on immune-infiltrating Treg-related genes: from bench to bedside.
    Wang X; Xiao Z; Gong J; Liu Z; Zhang M; Zhang Z
    Transl Lung Cancer Res; 2021 Jan; 10(1):167-182. PubMed ID: 33569302
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Bioinformatics analysis of microarray data to identify the candidate biomarkers of lung adenocarcinoma.
    Guo T; Ma H; Zhou Y
    PeerJ; 2019; 7():e7313. PubMed ID: 31333911
    [TBL] [Abstract][Full Text] [Related]  

  • 23. AUNIP Expression Is Correlated With Immune Infiltration and Is a Candidate Diagnostic and Prognostic Biomarker for Hepatocellular Carcinoma and Lung Adenocarcinoma.
    Ma C; Kang W; Yu L; Yang Z; Ding T
    Front Oncol; 2020; 10():590006. PubMed ID: 33363020
    [TBL] [Abstract][Full Text] [Related]  

  • 24. The Multi-Omics Analysis of Key Genes Regulating EGFR-TKI Resistance, Immune Infiltration, SCLC Transformation in
    Wang Z; Zhang L; Xu W; Li J; Liu Y; Zeng X; Zhong M; Zhu Y
    J Inflamm Res; 2022; 15():649-667. PubMed ID: 35140497
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
    Yu Y; Tian X
    Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Key microRNAs and hub genes associated with poor prognosis in lung adenocarcinoma.
    Ye GC; Liu YF; Huang L; Zhang CY; Sheng YL; Wu B; Han L; Wu CL; Dong B; Qi Y
    Aging (Albany NY); 2021 Jan; 13(3):3742-3762. PubMed ID: 33461176
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of Key Genes Related to CD8+ T-Cell Infiltration as Prognostic Biomarkers for Lung Adenocarcinoma.
    Du M; Liang Y; Liu Z; Li X; Liang M; Zhou B; Gao Y
    Front Oncol; 2021; 11():693353. PubMed ID: 34650911
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Comprehensive Analysis of a Nine-Gene Signature Related to Tumor Microenvironment in Lung Adenocarcinoma.
    Zhong H; Wang J; Zhu Y; Shen Y
    Front Cell Dev Biol; 2021; 9():700607. PubMed ID: 34540825
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Overexpression of
    Li B; Li X; Yang Q; Jiang Y; Zhang Q; Zhang J; Cui W; Xu F
    Aging (Albany NY); 2024 Feb; 16(3):2953-2977. PubMed ID: 38329443
    [TBL] [Abstract][Full Text] [Related]  

  • 30. SPP1 and AGER as potential prognostic biomarkers for lung adenocarcinoma.
    Zhang W; Fan J; Chen Q; Lei C; Qiao B; Liu Q
    Oncol Lett; 2018 May; 15(5):7028-7036. PubMed ID: 29849788
    [TBL] [Abstract][Full Text] [Related]  

  • 31. The expression of HOXA13 in lung adenocarcinoma and its clinical significance: A study based on The Cancer Genome Atlas, Oncomine and reverse transcription-quantitative polymerase chain reaction.
    Deng Y; He R; Zhang R; Gan B; Zhang Y; Chen G; Hu X
    Oncol Lett; 2018 Jun; 15(6):8556-8572. PubMed ID: 29805592
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Screening of Key Prognosis Genes of Lung Adenocarcinoma Based on Expression Analysis on TCGA Database.
    Shen Y; Tang X; Zhou X; Yi Y; Qiu Y; Xu J; Tian X
    J Oncol; 2022; 2022():4435092. PubMed ID: 36600965
    [TBL] [Abstract][Full Text] [Related]  

  • 33. A two-circular RNA signature as a noninvasive diagnostic biomarker for lung adenocarcinoma.
    Liu XX; Yang YE; Liu X; Zhang MY; Li R; Yin YH; Qu YQ
    J Transl Med; 2019 Feb; 17(1):50. PubMed ID: 30777071
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Transcriptomic analysis reveals the potential biological mechanism of AIS and lung adenocarcinoma.
    Qin RX; Yang Y; Chen JF; Huang LJ; Xu W; Qin QC; Liang XJ; Lai XY; Huang XY; Xie MS; Chen L
    Front Neurol; 2023; 14():1119160. PubMed ID: 37265472
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Key genes involved with prognosis were identified in lung adenocarcinoma by integrated bioinformatics analysis.
    Song H; Wu J; Liu W; Cai K; Xie Z; Liu Y; Huang J; Gan S; Xiong Y; Sun Y
    Heliyon; 2023 Jun; 9(6):e16789. PubMed ID: 37313154
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identification of CAV1 and DCN as potential predictive biomarkers for lung adenocarcinoma.
    Yan Y; Xu Z; Qian L; Zeng S; Zhou Y; Chen X; Wei J; Gong Z
    Am J Physiol Lung Cell Mol Physiol; 2019 Apr; 316(4):L630-L643. PubMed ID: 30604627
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Weighted Gene Coexpression Network Analysis of Features That Control Cancer Stem Cells Reveals Prognostic Biomarkers in Lung Adenocarcinoma.
    Liao Y; Wang Y; Cheng M; Huang C; Fan X
    Front Genet; 2020; 11():311. PubMed ID: 32391047
    [No Abstract]   [Full Text] [Related]  

  • 38. The downregulation of fibrinogen-like protein 1 inhibits the proliferation of lung adenocarcinoma via regulating
    Tang XY; Xiong YL; Shi AP; Sun Y; Han Q; Lv Y; Shi XG; Frattini M; Malhotra J; Zheng KF; Liu YJ; Jiang T; Ma N; Zhao JB
    Transl Lung Cancer Res; 2022 Mar; 11(3):404-419. PubMed ID: 35399566
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Screening key lncRNAs for human lung adenocarcinoma based on machine learning and weighted gene co-expression network analysis.
    Wang Y; Fu J; Wang Z; Lv Z; Fan Z; Lei T
    Cancer Biomark; 2019; 25(4):313-324. PubMed ID: 31322548
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Identification of the susceptibility genes for COVID-19 in lung adenocarcinoma with global data and biological computation methods.
    Gao L; Li GS; Li JD; He J; Zhang Y; Zhou HF; Kong JL; Chen G
    Comput Struct Biotechnol J; 2021; 19():6229-6239. PubMed ID: 34840672
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 16.