190 related articles for article (PubMed ID: 35282073)
1. 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]
2. 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]
3. APOC1 predicts a worse prognosis for esophageal squamous cell carcinoma and is associated with tumor immune infiltration during tumorigenesis.
Cao X; Wu B; Guo S; Zhong W; Zhu S; Zhang Z; Gu L; Li H
Pathol Oncol Res; 2023; 29():1610976. PubMed ID: 36969562
[No Abstract] [Full Text] [Related]
4. A novel mitochondria-related gene signature in esophageal carcinoma: prognostic, immune, and therapeutic features.
Zhang X; Wu H; Niu J; Hu Y; Zhang W; Chang J; Li L; Zhu J; Zhang C; Liu M
Funct Integr Genomics; 2023 Mar; 23(2):109. PubMed ID: 36991225
[TBL] [Abstract][Full Text] [Related]
5. [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]
6. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis.
Reyimu A; Chen Y; Song X; Zhou W; Dai J; Jiang F
World J Surg Oncol; 2021 Aug; 19(1):240. PubMed ID: 34384424
[TBL] [Abstract][Full Text] [Related]
7. Study on the Selection of the Targets of Esophageal Carcinoma and Interventions of Ginsenosides Based on Network Pharmacology and Bioinformatics.
Yang X; Li Y; Qian H
Evid Based Complement Alternat Med; 2020; 2020():4821056. PubMed ID: 32714406
[TBL] [Abstract][Full Text] [Related]
8. Prognostic Values and Underlying Regulatory Network of Cohesin Subunits in Esophageal Carcinoma.
Gan W; Wang W; Li T; Zhang R; Hou Y; Lv S; Zeng Z; Yan Z; Yang M
J Cancer; 2022; 13(5):1588-1602. PubMed ID: 35371307
[No Abstract] [Full Text] [Related]
9. Secreted Phosphoprotein 1 (SPP1) and Fibronectin 1 (FN1) Are Associated with Progression and Prognosis of Esophageal Cancer as Identified by Integrated Expression Profiles Analysis.
Li M; Wang K; Pang Y; Zhang H; Peng H; Shi Q; Zhang Z; Cui X; Li F
Med Sci Monit; 2020 Mar; 26():e920355. PubMed ID: 32208405
[TBL] [Abstract][Full Text] [Related]
10. Screening of potential key genes in esophageal cancer based on RBP and expression verification of HENMT1.
Reyimu A; Xing F; Zhou W; Zheng Y; Liu B; Dai J; Xing Y; Gao J
Medicine (Baltimore); 2023 Dec; 102(49):e36544. PubMed ID: 38065897
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. 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]
15. 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]
16. 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]
17. 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]
18. 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]
19. 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]
20. Identification and Validation of Chromobox Family Members as Potential Prognostic Biomarkers and Therapeutic Targets for Human Esophageal Cancer.
Fang X; Wang J; Chen J; Zhuang M; Huang T; Chen Z; Huang Y; Zheng B; Wang X
Front Genet; 2022; 13():851390. PubMed ID: 35464847
[No Abstract] [Full Text] [Related]
[Next] [New Search]
