343 related articles for article (PubMed ID: 32351322)
21. Transcriptomic Signatures in Colorectal Cancer Progression.
Ershov P; Poyarkov S; Konstantinova Y; Veselovsky E; Makarova A
Curr Mol Med; 2023; 23(3):239-249. PubMed ID: 35490318
[TBL] [Abstract][Full Text] [Related]
22. Molecular mechanisms investigation for liver metastasis of colorectal cancer by combined bioinformatic gene expression profile analysis.
Wu QQ; Wang XY; Wu WX; Chen YX; Wang J; Zhang X; Qian Y; Du SS; Sun J; Zeng ZC
Cancer Treat Res Commun; 2023; 35():100694. PubMed ID: 36868002
[TBL] [Abstract][Full Text] [Related]
23. Prognostic biomarkers and therapeutic targets in oral squamous cell carcinoma: a study based on cross-database analysis.
Yang W; Zhou W; Zhao X; Wang X; Duan L; Li Y; Niu L; Chen J; Zhang Y; Han Y; Fan D; Hong L
Hereditas; 2021 Apr; 158(1):15. PubMed ID: 33892811
[TBL] [Abstract][Full Text] [Related]
24. Novel diagnostic and prognostic biomarkers of colorectal cancer: Capable to overcome the heterogeneity-specific barrier and valid for global applications.
Hameed Y; Usman M; Liang S; Ejaz S
PLoS One; 2021; 16(9):e0256020. PubMed ID: 34473751
[TBL] [Abstract][Full Text] [Related]
25. Identification of key pathways and genes in colorectal cancer using bioinformatics analysis.
Liang B; Li C; Zhao J
Med Oncol; 2016 Oct; 33(10):111. PubMed ID: 27581154
[TBL] [Abstract][Full Text] [Related]
26. Identification of 6 Hub Proteins and Protein Risk Signature of Colorectal Cancer.
Yue T; Liu C; Zhu J; Huang Z; Guo S; Zhang Y; Xu H; Liu Y; Wang P; Chen S
Biomed Res Int; 2020; 2020():6135060. PubMed ID: 33376727
[TBL] [Abstract][Full Text] [Related]
27. Identification and verification of HCAR3 and INSL5 as new potential therapeutic targets of colorectal cancer.
Yang X; Wei W; Tan S; Guo L; Qiao S; Yao B; Wang Z
World J Surg Oncol; 2021 Aug; 19(1):248. PubMed ID: 34419055
[TBL] [Abstract][Full Text] [Related]
28. Network cluster analysis of protein-protein interaction network identified biomarker for early onset colorectal cancer.
Luo T; Wu S; Shen X; Li L
Mol Biol Rep; 2013 Dec; 40(12):6561-8. PubMed ID: 24197691
[TBL] [Abstract][Full Text] [Related]
29. Characterization of butyrate-metabolism in colorectal cancer to guide clinical treatment.
Luo Q; Zhou P; Chang S; Huang Z; Zeng X
Sci Rep; 2023 Mar; 13(1):5106. PubMed ID: 36991138
[TBL] [Abstract][Full Text] [Related]
30. A five-immune-related genes-based prognostic signature for colorectal cancer.
Zhu L; Wang H; Wang Z
Int Immunopharmacol; 2020 Nov; 88():106866. PubMed ID: 32781411
[TBL] [Abstract][Full Text] [Related]
31. The key genes underlying pathophysiology association between the type 2-diabetic and colorectal cancer.
Peng WF; Bai F; Shao K; Shen LS; Li HH; Huang S
J Cell Physiol; 2018 Nov; 233(11):8551-8557. PubMed ID: 29319171
[TBL] [Abstract][Full Text] [Related]
32. Identification of intestinal flora-related key genes and therapeutic drugs in colorectal cancer.
Zhang J; Zhang H; Li F; Song Z; Li Y; Zhao T
BMC Med Genomics; 2020 Nov; 13(1):172. PubMed ID: 33198757
[TBL] [Abstract][Full Text] [Related]
33. Identification of potential hub genes via bioinformatics analysis combined with experimental verification in colorectal cancer.
Zhou H; Yang Z; Yue J; Chen Y; Chen T; Mu T; Liu H; Bi X
Mol Carcinog; 2020 Apr; 59(4):425-438. PubMed ID: 32064687
[TBL] [Abstract][Full Text] [Related]
34. Identification of hub genes to regulate breast cancer metastasis to brain by bioinformatics analyses.
Tang D; Zhao X; Zhang L; Wang Z; Wang C
J Cell Biochem; 2019 Jun; 120(6):9522-9531. PubMed ID: 30506958
[TBL] [Abstract][Full Text] [Related]
35. Hub Genes and Key Pathway Identification in Colorectal Cancer Based on Bioinformatic Analysis.
Lv J; Li L
Biomed Res Int; 2019; 2019():1545680. PubMed ID: 31781593
[TBL] [Abstract][Full Text] [Related]
36. Integrative analyses of molecular pathways and key candidate biomarkers associated with colorectal cancer.
Pirim D
Cancer Biomark; 2020; 27(4):555-568. PubMed ID: 32176635
[TBL] [Abstract][Full Text] [Related]
37. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
Zhang L; Sun L; Zhang B; Chen L
Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
[TBL] [Abstract][Full Text] [Related]
38. Machine Learning Predicts the Oxidative Stress Subtypes Provide an Innovative Insight into Colorectal Cancer.
Zhong H; Yang L; Zeng Q; Chen W; Zhao H; Wu L; Qin L; Yu QQ
Oxid Med Cell Longev; 2023; 2023():1737501. PubMed ID: 37122535
[TBL] [Abstract][Full Text] [Related]
39. Development and validation of a 14-gene signature for prognosis prediction in hepatocellular carcinoma.
Zhang BH; Yang J; Jiang L; Lyu T; Kong LX; Tan YF; Li B; Zhu YF; Xi AY; Xu X; Yan LN; Yang JY
Genomics; 2020 Jul; 112(4):2763-2771. PubMed ID: 32198063
[TBL] [Abstract][Full Text] [Related]
40. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
