395 related articles for article (PubMed ID: 33314711)
21. A glycolysis-based three-gene signature predicts survival in patients with lung squamous cell carcinoma.
Huang G; Zhang J; Gong L; Huang Y; Liu D
BMC Cancer; 2021 May; 21(1):626. PubMed ID: 34044809
[TBL] [Abstract][Full Text] [Related]
22. Identification of microRNAs as novel biomarkers for esophageal squamous cell carcinoma: a study based on The Cancer Genome Atlas (TCGA) and bioinformatics.
Li CY; Zhang WW; Xiang JL; Wang XH; Li J; Wang JL
Chin Med J (Engl); 2019 Sep; 132(18):2213-2222. PubMed ID: 31490264
[TBL] [Abstract][Full Text] [Related]
23. Construction and Validation of Prognostic Regulation Network Based on RNA-Binding Protein Genes in Lung Squamous Cell Carcinoma.
Zhao S; Liu Q; Li J; Hu C; Cao F; Ma W; Gao J
DNA Cell Biol; 2021 Dec; 40(12):1563-1583. PubMed ID: 34931870
[TBL] [Abstract][Full Text] [Related]
24. Predicting the Lung Squamous Cell Carcinoma Diagnosis and Prognosis Markers by Unique DNA Methylation and Gene Expression Profiles.
Wang W; Wang S; Chu X; Liu H; Xiang M
J Comput Biol; 2020 Jul; 27(7):1041-1054. PubMed ID: 31710242
[TBL] [Abstract][Full Text] [Related]
25. A Novel Three-miRNA Signature Identified Using Bioinformatics Predicts Survival in Esophageal Carcinoma.
Wu K; Zhang C; Zhang C; Dai D
Biomed Res Int; 2020; 2020():5973082. PubMed ID: 32104700
[TBL] [Abstract][Full Text] [Related]
26. Bioinformatics analysis of differentially expressed miRNAs in non-small cell lung cancer.
Yu H; Pang Z; Li G; Gu T
J Clin Lab Anal; 2021 Feb; 35(2):e23588. PubMed ID: 32965722
[TBL] [Abstract][Full Text] [Related]
27. Prognostic alternative mRNA splicing signature in non-small cell lung cancer.
Li Y; Sun N; Lu Z; Sun S; Huang J; Chen Z; He J
Cancer Lett; 2017 May; 393():40-51. PubMed ID: 28223168
[TBL] [Abstract][Full Text] [Related]
28. Bioinformatics analyses of the differences between lung adenocarcinoma and squamous cell carcinoma using The Cancer Genome Atlas expression data.
Sun F; Yang X; Jin Y; Chen L; Wang L; Shi M; Zhan C; Shi Y; Wang Q
Mol Med Rep; 2017 Jul; 16(1):609-616. PubMed ID: 28560415
[TBL] [Abstract][Full Text] [Related]
29. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
Zhou J; Hui X; Mao Y; Fan L
Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
[TBL] [Abstract][Full Text] [Related]
30. Identification of Key Genes Related to Lung Squamous Cell Carcinoma Using Bioinformatics Analysis.
Gao M; Kong W; Huang Z; Xie Z
Int J Mol Sci; 2020 Apr; 21(8):. PubMed ID: 32340320
[TBL] [Abstract][Full Text] [Related]
31. Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis.
Zhang R; Zhang TT; Zhai GQ; Guo XY; Qin Y; Gan TQ; Zhang Y; Chen G; Mo WJ; Feng ZB
World J Surg Oncol; 2018 Jun; 16(1):109. PubMed ID: 29914539
[TBL] [Abstract][Full Text] [Related]
32. Identification and validation of an individualized prognostic signature of lung squamous cell carcinoma based on ferroptosis-related genes.
Diao X; Guo C; Liu L; Wang G; Li S
Thorac Cancer; 2021 Dec; 12(23):3236-3247. PubMed ID: 34672420
[TBL] [Abstract][Full Text] [Related]
33. Integrative Analysis of Three Novel Competing Endogenous RNA Biomarkers with a Prognostic Value in Lung Adenocarcinoma.
Tan J; Wang W; Song B; Song Y; Meng Z
Biomed Res Int; 2020; 2020():2837906. PubMed ID: 32802839
[TBL] [Abstract][Full Text] [Related]
34. Exostoisns (EXT1/2) in Head and Neck Cancers: An In Silico Analysis and Clinical Correlates.
Wang Y; Huang Y; Zhu H; Guo Z; Cheng J; Zhang C; Zhong M
Int Dent J; 2024 Jun; 74(3):446-453. PubMed ID: 37989698
[TBL] [Abstract][Full Text] [Related]
35. Elevated PHD2 expression might serve as a valuable biomarker of poor prognosis in lung adenocarcinoma, but no lung squamous cell carcinoma.
Xu XL; Gong Y; Zhao DP
Eur Rev Med Pharmacol Sci; 2018 Dec; 22(24):8731-8739. PubMed ID: 30575913
[TBL] [Abstract][Full Text] [Related]
36. Identification of 17 mRNAs and a miRNA as an integrated prognostic signature for lung squamous cell carcinoma.
Zhang J; Bing Z; Yan P; Tian J; Shi X; Wang Y; Yang K
J Gene Med; 2019 Aug; 21(8):e3105. PubMed ID: 31215090
[TBL] [Abstract][Full Text] [Related]
37. Expression of miR-486-5p and its significance in lung squamous cell carcinoma.
Yang S; Sui J; Liu T; Wu W; Xu S; Yin L; Pu Y; Zhang X; Zhang Y; Shen B; Liang G
J Cell Biochem; 2019 Aug; 120(8):13912-13923. PubMed ID: 30963622
[TBL] [Abstract][Full Text] [Related]
38. Implication of downregulation and prospective pathway signaling of microRNA-375 in lung squamous cell carcinoma.
Chen WJ; Gan TQ; Qin H; Huang SN; Yang LH; Fang YY; Li ZY; Pan LJ; Chen G
Pathol Res Pract; 2017 Apr; 213(4):364-372. PubMed ID: 28214218
[TBL] [Abstract][Full Text] [Related]
39. Expression, Prognosis and Gene Regulation Network of NFAT Transcription Factors in Non-Small Cell Lung Cancer.
Ma J; Du R; Huang Y; Zhong W; Gui H; Mao C; Song X; Lu J
Pathol Oncol Res; 2021; 27():529240. PubMed ID: 34257525
[TBL] [Abstract][Full Text] [Related]
40. Dual-strand tumor-suppressor microRNA-145 (miR-145-5p and miR-145-3p) coordinately targeted MTDH in lung squamous cell carcinoma.
Mataki H; Seki N; Mizuno K; Nohata N; Kamikawaji K; Kumamoto T; Koshizuka K; Goto Y; Inoue H
Oncotarget; 2016 Nov; 7(44):72084-72098. PubMed ID: 27765924
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]