111 related articles for article (PubMed ID: 37075603)
1. Transcriptomic analysis of esophageal cancer reveals hub genes and networks involved in cancer progression.
Chatterjee D; Rahman MM; Saha AK; Siam MKS; Sharif Shohan MU
Comput Biol Med; 2023 Jun; 159():106944. PubMed ID: 37075603
[TBL] [Abstract][Full Text] [Related]
2. Integrated Analysis of Hub Genes and Pathways In Esophageal Carcinoma Based on NCBI's Gene Expression Omnibus (GEO) Database: A Bioinformatics Analysis.
Yu-Jing T; Wen-Jing T; Biao T
Med Sci Monit; 2020 Aug; 26():e923934. PubMed ID: 32756534
[TBL] [Abstract][Full Text] [Related]
3. Bioinformatics-based analysis of the lncRNA-miRNA-mRNA and TF regulatory networks reveals functional genes in esophageal squamous cell carcinoma.
Ye Z; Fang J; Wang Z; Wang L; Li B; Liu T; Wang Y; Hua J; Wang F; Fu Z
Biosci Rep; 2020 Aug; 40(8):. PubMed ID: 32662828
[TBL] [Abstract][Full Text] [Related]
4. Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
Han BA; Yang XP; Hosseini DK; Zhang P; Zhang Y; Yu JT; Chen S; Zhang F; Zhou T; Sun HY
Sci Rep; 2020 Jun; 10(1):9735. PubMed ID: 32546690
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Identification of potential core genes in esophageal carcinoma using bioinformatics analysis.
Yang X; Tian M; Zhang W; Chai T; Shen Z; Kang M; Lin J
Medicine (Baltimore); 2021 Jul; 100(27):e26428. PubMed ID: 34232175
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. [Auxiliary diagnosis and prognosis evaluation of KIF4A, RAD51AP1 and CDKN3 in esophageal cancer].
Qiu S; Guo CX; Li L; Yuan JF; Liu J; Peng YY; Qiu Q
Zhonghua Yu Fang Yi Xue Za Zhi; 2024 May; 58(5):665-672. PubMed ID: 38715507
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.
Zhou R; Liu D; Zhu J; Zhang T
Medicine (Baltimore); 2020 Oct; 99(42):e22434. PubMed ID: 33080677
[TBL] [Abstract][Full Text] [Related]
12. Development of Multiscale Transcriptional Regulatory Network in Esophageal Cancer Based on Integrated Analysis.
Xu Z; Wu Z; Zhang J; Zhou R; Wu J; Yu B
Biomed Res Int; 2020; 2020():5603958. PubMed ID: 32851080
[TBL] [Abstract][Full Text] [Related]
13. 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]
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 Prognostic Related Genes of Tumor Microenvironment Derived From Esophageal Cancer Patients.
Yuan W; Yan J; Liu H; Li L; Wu B; Guo C; Zhang M
Pathol Oncol Res; 2021; 27():589662. PubMed ID: 34257539
[No 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 and Integrated Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer.
Liu X; Liu X; Li J; Ren F
Med Sci Monit; 2019 Dec; 25():9280-9289. PubMed ID: 31805030
[TBL] [Abstract][Full Text] [Related]
18. Role of COL3A1 and POSTN on Pathologic Stages of Esophageal Cancer.
Zhang SW; Zhang N; Wang N
Technol Cancer Res Treat; 2020; 19():1533033820977489. PubMed ID: 33280513
[TBL] [Abstract][Full Text] [Related]
19. Identification of a PLCE1‑regulated competing endogenous RNA regulatory network for esophageal squamous cell carcinoma.
Yang Z; Hui Y; Peng H; Zhang H; Li M; Song L; Li F; Cui X
Oncol Rep; 2021 Mar; 45(3):857-868. PubMed ID: 33650665
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
