314 related articles for article (PubMed ID: 31460782)
1. Integrative Bioinformatics Analysis Identifies NEK2 as a Potential Biomarker in Head and Neck Squamous Cell Carcinoma.
Liu S; Tian W; Li B
J Comput Biol; 2020 Jan; 27(1):100-108. PubMed ID: 31460782
[TBL] [Abstract][Full Text] [Related]
2. Identification and analysis of genes associated with head and neck squamous cell carcinoma by integrated bioinformatics methods.
Jin Y; Yang Y
Mol Genet Genomic Med; 2019 Aug; 7(8):e857. PubMed ID: 31304688
[TBL] [Abstract][Full Text] [Related]
3. Identification of Potential Biomarkers and Survival Analysis for Head and Neck Squamous Cell Carcinoma Using Bioinformatics Strategy: A Study Based on TCGA and GEO Datasets.
Shen Y; Liu J; Zhang L; Dong S; Zhang J; Liu Y; Zhou H; Dong W
Biomed Res Int; 2019; 2019():7376034. PubMed ID: 31485443
[TBL] [Abstract][Full Text] [Related]
4. Development and validation of a fourteen- innate immunity-related gene pairs signature for predicting prognosis head and neck squamous cell carcinoma.
Zhang F; Liu Y; Yang Y; Yang K
BMC Cancer; 2020 Oct; 20(1):1015. PubMed ID: 33081731
[TBL] [Abstract][Full Text] [Related]
5. Expression profile analysis identifies a two-gene signature for prediction of head and neck squamous cell carcinoma patient survival.
Xu X; Li M; Hu J; Chen Z; Yu J; Dong Y; Sun C; Han J
J Cancer Res Ther; 2018; 14(7):1525-1534. PubMed ID: 30589034
[TBL] [Abstract][Full Text] [Related]
6. A Five-mRNA Expression Signature to Predict Survival in Oral Squamous Cell Carcinoma by Integrated Bioinformatic Analyses.
Guo H; Li C; Su X; Huang X
Genet Test Mol Biomarkers; 2021 Aug; 25(8):517-527. PubMed ID: 34406843
[No Abstract] [Full Text] [Related]
7. Identification of a Gene Prognostic Signature for Oral Squamous Cell Carcinoma by RNA Sequencing and Bioinformatics.
Zhang YY; Mao MH; Han ZX
Biomed Res Int; 2021; 2021():6657767. PubMed ID: 33869632
[TBL] [Abstract][Full Text] [Related]
8. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Identification of Novel Prognostic Biomarkers in Head and Neck Squamous Cell Carcinoma using Bioinformatics Analysis.
Ding Y; Li M; Tayier T; Chen L; Feng S
Comb Chem High Throughput Screen; 2021; 24(9):1351-1363. PubMed ID: 33109035
[TBL] [Abstract][Full Text] [Related]
11. Profiles of immune cell infiltration in head and neck squamous carcinoma.
Liang B; Tao Y; Wang T
Biosci Rep; 2020 Feb; 40(2):. PubMed ID: 32095823
[TBL] [Abstract][Full Text] [Related]
12. Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.
Zhang H; Liu J; Fu X; Yang A
Med Sci Monit; 2017 Dec; 23():5924-5932. PubMed ID: 29240723
[TBL] [Abstract][Full Text] [Related]
13. Two miRNA prognostic signatures of head and neck squamous cell carcinoma: A bioinformatic analysis based on the TCGA dataset.
Wu C; Tong L; Wu C; Chen D; Chen J; Li Q; Jia F; Huang Z
Cancer Med; 2020 Apr; 9(8):2631-2642. PubMed ID: 32064753
[TBL] [Abstract][Full Text] [Related]
14. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
15. Identification of SERPINE1, PLAU and ACTA1 as biomarkers of head and neck squamous cell carcinoma based on integrated bioinformatics analysis.
Yang K; Zhang S; Zhang D; Tao Q; Zhang T; Liu G; Liu X; Zhao T
Int J Clin Oncol; 2019 Sep; 24(9):1030-1041. PubMed ID: 30937621
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
18. Identification of biomarkers with a tumor stage-dependent expression and exploration of the mechanism involved in laryngeal squamous cell carcinoma.
Hui L; Yang N; Yang H; Guo X; Jang X
Oncol Rep; 2015 Nov; 34(5):2627-35. PubMed ID: 26323359
[TBL] [Abstract][Full Text] [Related]
19. Comprehensive characterization of the alternative splicing landscape in head and neck squamous cell carcinoma reveals novel events associated with tumorigenesis and the immune microenvironment.
Li ZX; Zheng ZQ; Wei ZH; Zhang LL; Li F; Lin L; Liu RQ; Huang XD; Lv JW; Chen FP; He XJ; Guan JL; Kou J; Ma J; Zhou GQ; Sun Y
Theranostics; 2019; 9(25):7648-7665. PubMed ID: 31695792
[TBL] [Abstract][Full Text] [Related]
20. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
Zhang H; Zhong J; Tu Y; Liu B; Chen Z; Luo Y; Tang Y; Xiao F; Zhong J
Biomed Res Int; 2019; 2019():2615921. PubMed ID: 31950035
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]