BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

190 related articles for article (PubMed ID: 38339034)

  • 21. Bioinformatics and Raman spectroscopy-based identification of key pathways and genes enabling differentiation between acute myeloid leukemia and T cell acute lymphoblastic leukemia.
    Liang H; Kong X; Cao Z; Wang H; Liu E; Sun F; Qi J; Zhang Q; Zhou Y
    Front Immunol; 2023; 14():1194353. PubMed ID: 37266435
    [TBL] [Abstract][Full Text] [Related]  

  • 22. [Bioinformatics Analysis and Verification of Acute B-Lymphocytic Leukemia in Children with Isolated Bone Marrow Relapse].
    Wang HY; Yu J; An XZ; Li YJ; Zhu Y
    Zhongguo Shi Yan Xue Ye Xue Za Zhi; 2021 Aug; 29(4):1039-1049. PubMed ID: 34362480
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Identifying arsenic trioxide (ATO) functions in leukemia cells by using time series gene expression profiles.
    Yang H; Lin S; Cui J
    Gene; 2014 Feb; 535(2):312-7. PubMed ID: 24262935
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gastric cancer.
    Wu Q; Zhang B; Wang Z; Hu X; Sun Y; Xu R; Chen X; Wang Q; Ju F; Ren S; Zhang C; Qi F; Ma Q; Xue Q; Zhou YL
    Pathol Res Pract; 2019 May; 215(5):1038-1048. PubMed ID: 30975489
    [TBL] [Abstract][Full Text] [Related]  

  • 25. A comprehensive meta-analysis of transcriptome data to identify signature genes associated with pancreatic ductal adenocarcinoma.
    Kordshouli SO; Tahmasebi A; Moghadam A; Ramezani A; Niazi A
    PLoS One; 2024; 19(2):e0289561. PubMed ID: 38324544
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Transcriptome Analysis Identifies LINC00152 as a Biomarker of Early Relapse and Mortality in Acute Lymphoblastic Leukemia.
    Bárcenas-López DA; Núñez-Enríquez JC; Hidalgo-Miranda A; Beltrán-Anaya FO; May-Hau DI; Jiménez-Hernández E; Bekker-Méndez VC; Flores-Lujano J; Medina-Sansón A; Tamez-Gómez EL; López-García VH; Lara-Ramos JR; Núñez-Villegas NN; Peñaloza-González JG; Flores-Villegas LV; Amador-Sánchez R; Espinosa-Elizondo RM; Martín-Trejo JA; Velázquez-Aviña MM; Merino-Pasaye LE; Pérez-Saldívar ML; Duarte-Rodríguez DA; Torres-Nava JR; Cortés-Herrera B; Solís-Labastida KA; González-Ávila AI; Santillán-Juárez JD; García-Velázquez AJ; Rosas-Vargas H; Mata-Rocha M; Sepúlveda-Robles OA; Mejía-Aranguré JM; Jiménez-Morales S
    Genes (Basel); 2020 Mar; 11(3):. PubMed ID: 32183133
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification of Hub Genes and Key Pathways Associated with Peripheral T-cell Lymphoma.
    Gao HX; Wang MB; Li SJ; Niu J; Xue J; Li J; Li XX
    Curr Med Sci; 2020 Oct; 40(5):885-899. PubMed ID: 32980897
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Identification of potential therapeutic targets associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
    Sharma A; Yadav D; Rao P; Sinha S; Goswami D; Rawal RM; Shrivastava N
    Comput Biol Med; 2022 Jul; 146():105688. PubMed ID: 35680454
    [TBL] [Abstract][Full Text] [Related]  

  • 29. The lncRNA CASC15 regulates SOX4 expression in RUNX1-rearranged acute leukemia.
    Fernando TR; Contreras JR; Zampini M; Rodriguez-Malave NI; Alberti MO; Anguiano J; Tran TM; Palanichamy JK; Gajeton J; Ung NM; Aros CJ; Waters EV; Casero D; Basso G; Pigazzi M; Rao DS
    Mol Cancer; 2017 Jul; 16(1):126. PubMed ID: 28724437
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification of Differentially Expressed Genes in COVID-19 and Integrated Bioinformatics Analysis of Signaling Pathways.
    Fang L; Tang T; Hu M
    Genet Res (Camb); 2021; 2021():2728757. PubMed ID: 35002537
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Erg and AP-1 as determinants of glucocorticoid response in acute lymphoblastic leukemia.
    Chen DW; Saha V; Liu JZ; Schwartz JM; Krstic-Demonacos M
    Oncogene; 2013 Jun; 32(25):3039-48. PubMed ID: 22869147
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Bioinformatics prediction and experimental verification of key biomarkers for diabetic kidney disease based on transcriptome sequencing in mice.
    Zhao J; He K; Du H; Wei G; Wen Y; Wang J; Zhou X; Wang J
    PeerJ; 2022; 10():e13932. PubMed ID: 36157062
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Transcriptome profiling reveals transcriptional regulation of Protegrin-1 on immune defense and development in porcine granulosa cells.
    Yang Y; Zhou Y; Li X; He Y; Bai Y; Wang B; Chen S; Liu C
    Gene; 2024 Jan; 890():147819. PubMed ID: 37741593
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Gene expression profiling reveals intrinsic differences between T-cell acute lymphoblastic leukemia and T-cell lymphoblastic lymphoma.
    Raetz EA; Perkins SL; Bhojwani D; Smock K; Philip M; Carroll WL; Min DJ
    Pediatr Blood Cancer; 2006 Aug; 47(2):130-40. PubMed ID: 16358311
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Development of an immune-related prognostic model for pediatric acute lymphoblastic leukemia patients.
    Quan X; Zhang N; Chen Y; Zeng H; Deng J
    Mol Genet Genomic Med; 2020 Sep; 8(9):e1404. PubMed ID: 32666718
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Clinical application of whole transcriptome sequencing for the classification of patients with acute lymphoblastic leukemia.
    Walter W; Shahswar R; Stengel A; Meggendorfer M; Kern W; Haferlach T; Haferlach C
    BMC Cancer; 2021 Aug; 21(1):886. PubMed ID: 34340673
    [TBL] [Abstract][Full Text] [Related]  

  • 38. High-throughput transcriptome sequencing reveals the key stages of cardiovascular development in zebrafish embryos.
    Zhou C; Zhao W; Zhang S; Ma J; Sultan Y; Li X
    BMC Genomics; 2022 Aug; 23(1):587. PubMed ID: 35964013
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Integrated analysis of microRNA and transcription factor reveals important regulators and regulatory motifs in adult B-cell acute lymphoblastic leukemia.
    Lin XC; Liu XG; Zhang YM; Li N; Yang ZG; Fu WY; Lan LB; Zhang HT; Dai Y
    Int J Oncol; 2017 Feb; 50(2):671-683. PubMed ID: 28101583
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Insight into the potential candidate genes and signaling pathways involved in lymphoma disease in dogs using a comprehensive whole blood transcriptome analysis.
    Sheet S; Oh YI; Arora D; Choi BH; Ko M; Nam Y; Lim Y; Lim JA; Park M; Park W; Seo KW; Lee KT
    Gene; 2022 Sep; 838():146735. PubMed ID: 35835403
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.