204 related articles for article (PubMed ID: 34124063)
21. Development and Validation of a Prognostic Gene Signature Correlated With M2 Macrophage Infiltration in Esophageal Squamous Cell Carcinoma.
Yao J; Duan L; Huang X; Liu J; Fan X; Xiao Z; Yan R; Liu H; An G; Hu B; Ge Y
Front Oncol; 2021; 11():769727. PubMed ID: 34926275
[TBL] [Abstract][Full Text] [Related]
22. Six Novel Biomarkers for Diagnosis and Prognosis of Esophageal squamous cell carcinoma: validated by scRNA-seq and qPCR.
Zheng L; Li L; Xie J; Jin H; Zhu N
J Cancer; 2021; 12(3):899-911. PubMed ID: 33403046
[TBL] [Abstract][Full Text] [Related]
23. Identification of hub genes associated with esophageal cancer progression using bioinformatics analysis.
Li J; Xie Y; Wang X; Jiang C; Yuan X; Zhang A; Yang L; Liu C; Zou H; Li F; Hu J
Oncol Lett; 2020 Nov; 20(5):214. PubMed ID: 32963620
[TBL] [Abstract][Full Text] [Related]
24. Integrated analysis of differentially expressed genes in esophageal squamous cell carcinoma using bioinformatics.
Dong Z; Zhang H; Zhan T; Xu S
Neoplasma; 2018; 65(4):523-531. PubMed ID: 30064228
[TBL] [Abstract][Full Text] [Related]
25. Predictions for high
Li Y; Wang X; Shi L; Xu J; Sun B
Transl Cancer Res; 2020 Jan; 9(1):85-94. PubMed ID: 35117161
[TBL] [Abstract][Full Text] [Related]
26. Identification of prognostic miRNA biomarkers for esophageal cancer based on The Cancer Genome Atlas and Gene Expression Omnibus.
Xue J; Jia E; Ren N; Xin H
Medicine (Baltimore); 2021 Feb; 100(7):e24832. PubMed ID: 33607850
[TBL] [Abstract][Full Text] [Related]
27. Integrative genomics analysis of hub genes and their relationship with prognosis and signaling pathways in esophageal squamous cell carcinoma.
Chen FF; Zhang SR; Peng H; Chen YZ; Cui XB
Mol Med Rep; 2019 Oct; 20(4):3649-3660. PubMed ID: 31485619
[TBL] [Abstract][Full Text] [Related]
28. Hub Genes and Long Noncoding RNAs That Regulates It Associated with the Prognosis of Esophageal Squamous Cell Carcinoma Based on Bioinformatics Analysis.
Lu J; Li R; Fang M; Ke S
Comput Math Methods Med; 2022; 2022():6027058. PubMed ID: 36238478
[TBL] [Abstract][Full Text] [Related]
29. 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]
30. GINS4 might be a novel prognostic immune-related biomarker of not only esophageal squamous cell carcinoma and other cancers.
Jin D; Yuan L; Li F; Wang S; Mao Y
BMC Med Genomics; 2022 Apr; 15(1):75. PubMed ID: 35365175
[TBL] [Abstract][Full Text] [Related]
31. Identification of the key transcription factors in esophageal squamous cell carcinoma.
Zhang Y; Xu Y; Li Z; Zhu Y; Wen S; Wang M; Lv H; Zhang F; Tian Z
J Thorac Dis; 2018 Jan; 10(1):148-161. PubMed ID: 29600044
[TBL] [Abstract][Full Text] [Related]
32. Screening and verification of hub genes in esophageal squamous cell carcinoma by integrated analysis.
Wu H; Zhu P; Shu P; Zhang S
Sci Rep; 2024 Mar; 14(1):6894. PubMed ID: 38519533
[TBL] [Abstract][Full Text] [Related]
33. Identification of Key Modules and Hub Genes Involved in Esophageal Squamous Cell Carcinoma Tumorigenesis Using WCGNA.
Chen N; Zhang G; Fu J; Wu Q
Cancer Control; 2020; 27(1):1073274820978817. PubMed ID: 33345608
[TBL] [Abstract][Full Text] [Related]
34. Identification and validation of hub microRNAs dysregulated in esophageal squamous cell carcinoma.
Sang C; Chao C; Wang M; Zhang Y; Luo G; Zhang X
Aging (Albany NY); 2020 May; 12(10):9807-9824. PubMed ID: 32412911
[TBL] [Abstract][Full Text] [Related]
35. Integrated bioinformatics analysis of differentially expressed genes and immune cell infiltration characteristics in Esophageal Squamous cell carcinoma.
Feng Z; Qu J; Liu X; Liang J; Li Y; Jiang J; Zhang H; Tian H
Sci Rep; 2021 Aug; 11(1):16696. PubMed ID: 34404882
[TBL] [Abstract][Full Text] [Related]
36. [Data mining of esophageal squamous cell carcinoma from The Cancer Genome Atlas database].
He SY; Wang XB; Jiao YC
Zhonghua Zhong Liu Za Zhi; 2018 Jul; 40(7):517-522. PubMed ID: 30060360
[No Abstract] [Full Text] [Related]
37. Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell carcinoma.
Peng H; Wang S; Pang L; Yang L; Chen Y; Cui XB
Mol Omics; 2019 Feb; 15(1):88-100. PubMed ID: 30706927
[TBL] [Abstract][Full Text] [Related]
38. Knockdown of RAD51AP1 suppressed cell proliferation and invasion in esophageal squamous cell carcinoma.
Hu YY; Ma CC; Ai KX
Discov Oncol; 2022 Oct; 13(1):101. PubMed ID: 36197550
[TBL] [Abstract][Full Text] [Related]
39. Integrated analysis highlights multiple long non‑coding RNAs and their potential roles in the progression of human esophageal squamous cell carcinoma.
Li CY; Zhang WW; Xiang JL; Wang XH; Wang JL; Li J
Oncol Rep; 2019 Dec; 42(6):2583-2599. PubMed ID: 31638253
[TBL] [Abstract][Full Text] [Related]
40. Comprehensive analysis and identification of key genes and signaling pathways in the occurrence and metastasis of cutaneous melanoma.
Dai H; Guo L; Lin M; Cheng Z; Li J; Tang J; Huan X; Huang Y; Xu K
PeerJ; 2020; 8():e10265. PubMed ID: 33240619
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
