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.
160 related articles for article (PubMed ID: 29552123)
1. Expression profiling analysis of autophagy-related genes in perineural invasion of cutaneous squamous cell carcinoma. Zheng LQ; Li SY; Li CX Oncol Lett; 2018 Apr; 15(4):4837-4848. PubMed ID: 29552123 [TBL] [Abstract][Full Text] [Related]
2. Analysis of the autophagy gene expression profile of pancreatic cancer based on autophagy-related protein microtubule-associated protein 1A/1B-light chain 3. Yang YH; Zhang YX; Gui Y; Liu JB; Sun JJ; Fan H World J Gastroenterol; 2019 May; 25(17):2086-2098. PubMed ID: 31114135 [TBL] [Abstract][Full Text] [Related]
3. Identification of potential therapeutic target genes and mechanisms in head and neck squamous cell carcinoma by bioinformatics analysis. Kuang J; Zhao M; Li H; Dang W; Li W Oncol Lett; 2016 May; 11(5):3009-3014. PubMed ID: 27123054 [TBL] [Abstract][Full Text] [Related]
4. Identification of key pathways and genes in nasopharyngeal carcinoma using bioinformatics analysis. Zhu HM; Fei Q; Qian LX; Liu BL; He X; Yin L Oncol Lett; 2019 May; 17(5):4683-4694. PubMed ID: 30988824 [TBL] [Abstract][Full Text] [Related]
5. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data. Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis. Zou Z; Gan S; Liu S; Li R; Huang J Oncol Lett; 2019 Jul; 18(1):916-926. PubMed ID: 31289570 [TBL] [Abstract][Full Text] [Related]
8. Bioinformatics analyses of significant genes, related pathways and candidate prognostic biomarkers in glioblastoma. Zhou L; Tang H; Wang F; Chen L; Ou S; Wu T; Xu J; Guo K Mol Med Rep; 2018 Nov; 18(5):4185-4196. PubMed ID: 30132538 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis. Xu Z; Jiang P; He S Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546 [TBL] [Abstract][Full Text] [Related]
11. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis. Li F; Guo P; Dong K; Guo P; Wang H; Lv X J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342 [No Abstract] [Full Text] [Related]
12. 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]
13. Expression profiling of cutaneous squamous cell carcinoma with perineural invasion implicates the p53 pathway in the process. Warren TA; Broit N; Simmons JL; Pierce CJ; Chawla S; Lambie DL; Quagliotto G; Brown IS; Parsons PG; Panizza BJ; Boyle GM Sci Rep; 2016 Sep; 6():34081. PubMed ID: 27665737 [TBL] [Abstract][Full Text] [Related]
14. Bioinformatics analysis of gene expression profile data to screen key genes involved in intracranial aneurysms. Guo T; Hou D; Yu D Mol Med Rep; 2019 Nov; 20(5):4415-4424. PubMed ID: 31545495 [TBL] [Abstract][Full Text] [Related]
15. Identification of key genes and pathways for esophageal squamous cell carcinoma by bioinformatics analysis. Chen X; Cai S; Li B; Zhang X; Li W; Linag H; Cao X Exp Ther Med; 2018 Aug; 16(2):1121-1130. PubMed ID: 30112053 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Identification of potential drugs for diffuse large b-cell lymphoma based on bioinformatics and Connectivity Map database. Luo B; Gu YY; Wang XD; Chen G; Peng ZG Pathol Res Pract; 2018 Nov; 214(11):1854-1867. PubMed ID: 30244948 [TBL] [Abstract][Full Text] [Related]
18. High gene expression levels of VEGFA and CXCL8 in the peritumoral brain zone are associated with the recurrence of glioblastoma: A bioinformatics analysis. Luo X; Xu S; Zhong Y; Tu T; Xu Y; Li X; Wang B; Yang F Oncol Lett; 2019 Dec; 18(6):6171-6179. PubMed ID: 31788092 [TBL] [Abstract][Full Text] [Related]
19. Identification of key genes and microRNAs involved in kidney Wilms tumor by integrated bioinformatics analysis. Zhang L; Gao X; Zhou X; Qin Z; Wang Y; Li R; Tang M; Wang W; Zhang W Exp Ther Med; 2019 Oct; 18(4):2554-2564. PubMed ID: 31555364 [TBL] [Abstract][Full Text] [Related]
20. Bioinformatics analysis of key biomarkers and potential molecular mechanisms in hepatocellular carcinoma induced by hepatitis B virus. Li Z; Xu J; Cui H; Song J; Chen J; Wei J Medicine (Baltimore); 2020 May; 99(20):e20302. PubMed ID: 32443377 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]