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 *

119 related articles for article (PubMed ID: 38522123)

  • 21. 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]  

  • 22. Identification of Potential Key Genes and Pathways in Early-Onset Colorectal Cancer Through Bioinformatics Analysis.
    Zhao B; Baloch Z; Ma Y; Wan Z; Huo Y; Li F; Zhao Y
    Cancer Control; 2019; 26(1):1073274819831260. PubMed ID: 30786729
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Bioinformatics Analysis of Key Genes and Pathways in Colorectal Cancer.
    Qi Y; Qi H; Liu Z; He P; Li B
    J Comput Biol; 2019 Apr; 26(4):364-375. PubMed ID: 30810359
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
    Yu-Jing T; Wen-Jing T; Biao T
    Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Identification of Critical Genes and Five Prognostic Biomarkers Associated with Colorectal Cancer.
    Huang Z; Yang Q; Huang Z
    Med Sci Monit; 2018 Jul; 24():4625-4633. PubMed ID: 29973580
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Identification and prognostic analysis of candidate biomarkers for lung metastasis in colorectal cancer.
    Liu Y; Liu C; Huang D; Ge C; Chen L; Fu J; Du J
    Medicine (Baltimore); 2024 Mar; 103(11):e37484. PubMed ID: 38489730
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Identification and Interaction Analysis of Molecular Markers in Colorectal Cancer by Integrated Bioinformatics Analysis.
    Han B; Feng D; Yu X; Zhang Y; Liu Y; Zhou L
    Med Sci Monit; 2018 Aug; 24():6059-6069. PubMed ID: 30168505
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Integration of gene expression data identifies key genes and pathways in colorectal cancer.
    Hozhabri H; Lashkari A; Razavi SM; Mohammadian A
    Med Oncol; 2021 Jan; 38(1):7. PubMed ID: 33411100
    [TBL] [Abstract][Full Text] [Related]  

  • 29. In silico analysis to identify miR-1271-5p/PLCB4 (phospholipase C Beta 4) axis mediated oxaliplatin resistance in metastatic colorectal cancer.
    Lee CC; Lee AW; Wei PL; Liu YS; Chang YJ; Huang CY
    Sci Rep; 2023 Mar; 13(1):4366. PubMed ID: 36927770
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Identification of potential biomarkers with colorectal cancer based on bioinformatics analysis and machine learning.
    Hammad A; Elshaer M; Tang X
    Math Biosci Eng; 2021 Oct; 18(6):8997-9015. PubMed ID: 34814332
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Construction of an miRNA-mRNA regulatory network in colorectal cancer with bioinformatics methods.
    Su Y; Zhang M; Zhang L; Chen S; Zhang D; Zhang X
    Anticancer Drugs; 2019 Jul; 30(6):588-595. PubMed ID: 30601194
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Identification of Prognostic Biomarker Signatures and Candidate Drugs in Colorectal Cancer: Insights from Systems Biology Analysis.
    Rahman MR; Islam T; Gov E; Turanli B; Gulfidan G; Shahjaman M; Banu NA; Mollah MNH; Arga KY; Moni MA
    Medicina (Kaunas); 2019 Jan; 55(1):. PubMed ID: 30658502
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Impact of curcumin on ferroptosis-related genes in colorectal cancer: Insights from in-silico and in-vitro studies.
    Firouzjaei AA; Aghaee-Bakhtiari SH; Tafti A; Sharifi K; Abadi MHJN; Rezaei S; Mohammadi-Yeganeh S
    Cell Biochem Funct; 2023 Dec; 41(8):1488-1502. PubMed ID: 38014635
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Identification of Key MicroRNAs and Genes between Colorectal Adenoma and Colorectal Cancer via Deep Learning on GEO Databases and Bioinformatics.
    Zhang X; Jin M; Liu F; Qu H; Chen C
    Contrast Media Mol Imaging; 2023; 2023():6457152. PubMed ID: 36793496
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Bioinformatics-based identification of key genes and pathways associated with colorectal cancer diagnosis, treatment, and prognosis.
    Wang C; Zhang L
    Medicine (Baltimore); 2022 Sep; 101(37):e30619. PubMed ID: 36123948
    [TBL] [Abstract][Full Text] [Related]  

  • 36. The molecular basis of the associations between non-alcoholic fatty liver disease and colorectal cancer.
    Qiu T; Hu W; Rao Z; Fang T
    Front Genet; 2022; 13():1007337. PubMed ID: 36568397
    [No Abstract]   [Full Text] [Related]  

  • 37. Screening of hub genes and pathways in colorectal cancer with microarray technology.
    Wang Y; Zheng T
    Pathol Oncol Res; 2014 Jul; 20(3):611-8. PubMed ID: 24504536
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Identification of genes involved in the four stages of colorectal cancer: Gene expression profiling.
    Shi G; Wang Y; Zhang C; Zhao Z; Sun X; Zhang S; Fan J; Zhou C; Zhang J; Zhang H; Liu J
    Mol Cell Probes; 2018 Feb; 37():39-47. PubMed ID: 29179987
    [TBL] [Abstract][Full Text] [Related]  

  • 39. CDK1 and CDC20 overexpression in patients with colorectal cancer are associated with poor prognosis: evidence from integrated bioinformatics analysis.
    Li J; Wang Y; Wang X; Yang Q
    World J Surg Oncol; 2020 Mar; 18(1):50. PubMed ID: 32127012
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Integrated analysis of intestinal microbiota and host gene expression in colorectal cancer patients.
    Chen Y; Si H; Bao B; Li S; Teng D; Yan Y; Hu S; Xu Y; Du X
    J Med Microbiol; 2022 Sep; 71(9):. PubMed ID: 36136380
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.