261 related articles for article (PubMed ID: 36573207)
1. Identification of Potential Biomarkers Using Integrative Approach: A Case Study of ESCC.
Saikia M; Bhattacharyya DK; Kalita JK
SN Comput Sci; 2023; 4(2):114. PubMed ID: 36573207
[TBL] [Abstract][Full Text] [Related]
2. Identification of key genes for esophageal squamous cell carcinoma via integrated bioinformatics analysis and experimental confirmation.
Hu J; Li R; Miao H; Wen Z
J Thorac Dis; 2020 Jun; 12(6):3188-3199. PubMed ID: 32642240
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Identification of four genes and biological characteristics of esophageal squamous cell carcinoma by integrated bioinformatics analysis.
Song Y; Wang X; Wang F; Peng X; Li P; Liu S; Zhang D
Cancer Cell Int; 2021 Feb; 21(1):123. PubMed ID: 33602210
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Identification of crucial genes associated with esophageal squamous cell carcinoma by gene expression profile analysis.
Wang X; Li G; Luo Q; Gan C
Oncol Lett; 2018 Jun; 15(6):8983-8990. PubMed ID: 29844815
[TBL] [Abstract][Full Text] [Related]
7. The prognostic role of FZD6 in esophageal squamous cell carcinoma patients.
Zhang J; Wang JL; Zhang CY; Ma YF; Zhao R; Wang YY
Clin Transl Oncol; 2020 Jul; 22(7):1172-1179. PubMed ID: 31748958
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis.
Zhong X; Huang G; Ma Q; Liao H; Liu C; Pu W; Xu L; Cai Y; Guo X
Medicine (Baltimore); 2019 Jul; 98(27):e16269. PubMed ID: 31277149
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Bioinformatics analysis of gene expression profiles of esophageal squamous cell carcinoma.
He Y; Liu J; Zhao Z; Zhao H
Dis Esophagus; 2017 May; 30(5):1-8. PubMed ID: 28375447
[TBL] [Abstract][Full Text] [Related]
13. Identification of hub genes and therapeutic drugs in esophageal squamous cell carcinoma based on integrated bioinformatics strategy.
Yang W; Zhao X; Han Y; Duan L; Lu X; Wang X; Zhang Y; Zhou W; Liu J; Zhang H; Zhao Q; Hong L; Fan D
Cancer Cell Int; 2019; 19():142. PubMed ID: 31139019
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. Identification of Differentially Expressed Genes and miRNAs Associated with Esophageal Squamous Cell Carcinoma by Integrated Analysis of Microarray Data.
Zhang L; Chen J; Cheng T; Yang H; Pan C; Li H
Biomed Res Int; 2020; 2020():1980921. PubMed ID: 32714975
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Insulin receptor substrate 1(IRS1) is related with lymph node metastases and prognosis in esophageal squamous cell carcinoma.
Lei Y; Jamal M; Zeng X; He H; Xiao D; Zhang C; Zhang X; Tan H; Xie S; Zhang Q
Gene; 2022 Aug; 835():146651. PubMed ID: 35688292
[TBL] [Abstract][Full Text] [Related]
19. Ranking candidate genes of esophageal squamous cell carcinomas based on differentially expressed genes and the topological properties of the co-expression network.
Shen Y; Tantai J; Zhao H
Eur J Med Res; 2014 Oct; 19(1):52. PubMed ID: 25358439
[TBL] [Abstract][Full Text] [Related]
20. Global comparative transcriptomes uncover novel and population-specific gene expression in esophageal squamous cell carcinoma.
Alotaibi A; Gadekar VP; Gundla PS; Mandarthi S; Jayendra N; Tungekar A; Lavanya BV; Bhagavath AK; Cordero MAW; Pitkaniemi J; Niazi SK; Upadhya R; Bepari A; Hebbar P
Infect Agent Cancer; 2023 Aug; 18(1):47. PubMed ID: 37641095
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
