124 related articles for article (PubMed ID: 35863479)
1. Screening of four key genes in esophageal carcinoma based on TCGA and GEO data and verification of anti-proliferative effect of LAPTM4B knockdown in esophageal carcinoma cells invitro.
Guo K; Li K
Arch Biochem Biophys; 2022 Oct; 728():109352. PubMed ID: 35863479
[TBL] [Abstract][Full Text] [Related]
2. Identification of molecular targets for esophageal carcinoma diagnosis using miRNA-seq and RNA-seq data from The Cancer Genome Atlas: a study of 187 cases.
Zeng JH; Xiong DD; Pang YY; Zhang Y; Tang RX; Luo DZ; Chen G
Oncotarget; 2017 May; 8(22):35681-35699. PubMed ID: 28415685
[TBL] [Abstract][Full Text] [Related]
3. Rhein suppresses esophageal cancer development by regulating cell cycle through DNMT3B gene.
Li C; Yu J; Feng Y; Sun X; Sun M; Ni W; Shao J; Wang B
Med Oncol; 2024 May; 41(6):153. PubMed ID: 38743323
[TBL] [Abstract][Full Text] [Related]
4. Screening and verification of potential gene targets in esophageal carcinoma by bioinformatics analysis and immunohistochemistry.
Wen P; Dayyani F; Tao R; Zhong X
Ann Transl Med; 2022 Jan; 10(2):70. PubMed ID: 35282073
[TBL] [Abstract][Full Text] [Related]
5. Bridging Integrator 3 (BIN3) Downregulation Predicts a Poor Prognosis in Patients with Esophagus Carcinoma: A Study based on TCGA Data.
Li D; Deng W; Huang G; Xiao X
Comb Chem High Throughput Screen; 2023; 26(11):1974-1989. PubMed ID: 36475339
[TBL] [Abstract][Full Text] [Related]
6. Effects of EFNA1 on cell phenotype and prognosis of esophageal carcinoma.
Zhang Y; Zhang J; Pan G; Guan T; Zhang C; Hao A; Li Y; Ren H
World J Surg Oncol; 2021 Aug; 19(1):242. PubMed ID: 34399788
[TBL] [Abstract][Full Text] [Related]
7. Identification and validation of necroptosis-related prognostic gene signature and tumor immune microenvironment infiltration characterization in esophageal carcinoma.
Sun K; Hong JJ; Chen DM; Luo ZX; Li JZ
BMC Gastroenterol; 2022 Jul; 22(1):344. PubMed ID: 35840882
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
10. Integrated bioinformatics analysis for differentially expressed genes and signaling pathways identification in gastric cancer.
Yang C; Gong A
Int J Med Sci; 2021; 18(3):792-800. PubMed ID: 33437215
[No Abstract] [Full Text] [Related]
11. Systematic investigation of the clinical significance and prognostic value of the CBXs in esophageal cancer.
Hou J; Yang Y; Gao H; Ouyang T; Liu Q; Ding R; Kan H
Medicine (Baltimore); 2022 Oct; 101(40):e30888. PubMed ID: 36221371
[TBL] [Abstract][Full Text] [Related]
12. Expression of lysosome-associated protein transmembrane 4B-35 in cancer and its correlation with the differentiation status of hepatocellular carcinoma.
Peng C; Zhou RL; Shao GZ; Rui JA; Wang SB; Lin M; Zhang S; Gao ZF
World J Gastroenterol; 2005 May; 11(18):2704-8. PubMed ID: 15884107
[TBL] [Abstract][Full Text] [Related]
13. High expression of collagen 1A2 promotes the proliferation and metastasis of esophageal cancer cells.
Li G; Jiang W; Kang Y; Yu X; Zhang C; Feng Y
Ann Transl Med; 2020 Dec; 8(24):1672. PubMed ID: 33490184
[TBL] [Abstract][Full Text] [Related]
14. Multi-Omics Analysis Reveals the IFI6 Gene as a Prognostic Indicator and Therapeutic Target in Esophageal Cancer.
Viet-Nhi NK; Minh Quan T; Cong Truc V; Anh Bich T; Hoang Nam P; Le NQK; Chen PY; Hung SH
Int J Mol Sci; 2024 Feb; 25(5):. PubMed ID: 38473938
[TBL] [Abstract][Full Text] [Related]
15. Minichromosome maintenance 6 complex component identified by bioinformatics analysis and experimental validation in esophageal squamous cell carcinoma.
Li X; Ren Z; Xiong C; Geng J; Li Y; Liu C; Ren C; Liu H
Oncol Rep; 2020 Sep; 44(3):987-1002. PubMed ID: 32583000
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. TEAD4 functions as a prognostic biomarker and triggers EMT via PI3K/AKT pathway in bladder cancer.
Chi M; Liu J; Mei C; Shi Y; Liu N; Jiang X; Liu C; Xue N; Hong H; Xie J; Sun X; Yin B; Meng X; Wang B
J Exp Clin Cancer Res; 2022 May; 41(1):175. PubMed ID: 35581606
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Comprehensive Analysis of Hexokinase 2 Immune Infiltrates and m6A Related Genes in Human Esophageal Carcinoma.
Liu XS; Liu JM; Chen YJ; Li FY; Wu RM; Tan F; Zeng DB; Li W; Zhou H; Gao Y; Pei ZJ
Front Cell Dev Biol; 2021; 9():715883. PubMed ID: 34708035
[No Abstract] [Full Text] [Related]
[Next] [New Search]
