440 related articles for article (PubMed ID: 35121801)
1. Identification and validation of an autophagy-related gene signature for predicting prognosis in patients with esophageal squamous cell carcinoma.
Shi X; Li Y; Pan S; Liu X; Ke Y; Guo W; Wang Y; Ruan Q; Zhang X; Ma H
Sci Rep; 2022 Feb; 12(1):1960. PubMed ID: 35121801
[TBL] [Abstract][Full Text] [Related]
2. A Novel Autophagy-Related Long Non-Coding RNA Signature to Predict Prognosis and Therapeutic Response in Esophageal Squamous Cell Carcinoma.
Shi X; Liu X; Pan S; Ke Y; Li Y; Guo W; Wang Y; Ruan Q; Zhang X; Ma H
Int J Gen Med; 2021; 14():8325-8339. PubMed ID: 34815705
[TBL] [Abstract][Full Text] [Related]
3. Identification of a nomogram based on long non-coding RNA to improve prognosis prediction of esophageal squamous cell carcinoma.
Li W; Liu J; Zhao H
Aging (Albany NY); 2020 Jan; 12(2):1512-1526. PubMed ID: 31978896
[TBL] [Abstract][Full Text] [Related]
4. Comprehensive Analysis of PD-L1 Expression, Immune Infiltrates, and m6A RNA Methylation Regulators in Esophageal Squamous Cell Carcinoma.
Guo W; Tan F; Huai Q; Wang Z; Shao F; Zhang G; Yang Z; Li R; Xue Q; Gao S; He J
Front Immunol; 2021; 12():669750. PubMed ID: 34054840
[TBL] [Abstract][Full Text] [Related]
5. A fibroblast-associated signature predicts prognosis and immunotherapy in esophageal squamous cell cancer.
Ren Q; Zhang P; Zhang X; Feng Y; Li L; Lin H; Yu Y
Front Immunol; 2023; 14():1199040. PubMed ID: 37313409
[TBL] [Abstract][Full Text] [Related]
6. Identification of m
Ma Y; Sun Y; Zhao X; Li J; Fu X; Gong T; Zhang X
Sci Rep; 2023 Sep; 13(1):14499. PubMed ID: 37666951
[TBL] [Abstract][Full Text] [Related]
7. Novel chemokine related LncRNA signature correlates with the prognosis, immune landscape, and therapeutic sensitivity of esophageal squamous cell cancer.
Zhang Z; Wang J; Han W; Zhao L
BMC Gastroenterol; 2023 Apr; 23(1):132. PubMed ID: 37081402
[TBL] [Abstract][Full Text] [Related]
8. A three-gene signature from protein-protein interaction network of LOXL2- and actin-related proteins for esophageal squamous cell carcinoma prognosis.
Zhan XH; Jiao JW; Zhang HF; Li CQ; Zhao JM; Liao LD; Wu JY; Wu BL; Wu ZY; Wang SH; Du ZP; Shen JH; Zou HY; Neufeld G; Xu LY; Li EM
Cancer Med; 2017 Jul; 6(7):1707-1719. PubMed ID: 28556501
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. A Novel Clinical Six-Flavoprotein-Gene Signature Predicts Prognosis in Esophageal Squamous Cell Carcinoma.
Peng L; Guo JC; Long L; Pan F; Zhao JM; Xu LY; Li EM
Biomed Res Int; 2019; 2019():3869825. PubMed ID: 31815134
[TBL] [Abstract][Full Text] [Related]
11. Identification of microRNAs as novel biomarkers for esophageal squamous cell carcinoma: a study based on The Cancer Genome Atlas (TCGA) and bioinformatics.
Li CY; Zhang WW; Xiang JL; Wang XH; Li J; Wang JL
Chin Med J (Engl); 2019 Sep; 132(18):2213-2222. PubMed ID: 31490264
[TBL] [Abstract][Full Text] [Related]
12. A more novel and robust gene signature predicts outcome in patients with esophageal squamous cell carcinoma.
Ma C; Luo H
Clin Res Hepatol Gastroenterol; 2022 Dec; 46(10):102033. PubMed ID: 36265781
[TBL] [Abstract][Full Text] [Related]
13. Integrated analysis of genomic and transcriptomic profiles identified a prognostic immunohistochemistry panel for esophageal squamous cell cancer.
Yu Y; Li Z; Huang C; Fang H; Zhao F; Zhou Y; Pan X; Li Q; Zhuang Y; Chen L; Xu J; Wang W
Cancer Med; 2020 Jan; 9(2):575-585. PubMed ID: 31793228
[TBL] [Abstract][Full Text] [Related]
14. A prognosis model for predicting immunotherapy response of esophageal cancer based on oxidative stress-related signatures.
Guo J; Tong C; Shi J; Li X; Chen X
Oncol Res; 2023; 32(1):199-212. PubMed ID: 38196829
[TBL] [Abstract][Full Text] [Related]
15. Construction and Validation of an Autophagy-Related Prognostic Risk Signature for Survival Predicting in Clear Cell Renal Cell Carcinoma Patients.
Yang H; Han M; Li H
Front Oncol; 2020; 10():707. PubMed ID: 32432045
[No Abstract] [Full Text] [Related]
16. Development of a model to predict the prognosis of esophageal carcinoma based on autophagy-related genes.
Niu L; Yang W; Duan L; Wang X; Li Y; Zhou W; Chen J; Xu C; Zhang Y; Liu J; Hong L; Fan D
Future Oncol; 2022 Feb; 18(6):701-717. PubMed ID: 35048740
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. A seven-lncRNA signature predicts overall survival in esophageal squamous cell carcinoma.
Mao Y; Fu Z; Zhang Y; Dong L; Zhang Y; Zhang Q; Li X; Liu J
Sci Rep; 2018 Jun; 8(1):8823. PubMed ID: 29891973
[TBL] [Abstract][Full Text] [Related]
19. The prognostic value of a seven-lncRNA signature in patients with esophageal squamous cell carcinoma: a lncRNA expression analysis.
Weng NQ; Chi J; Wen J; Mai SJ; Zhang MY; Huang L; Liu J; Yang XZ; Xu GL; Fu JH; Wang HY
J Transl Med; 2020 Jan; 18(1):47. PubMed ID: 32005248
[TBL] [Abstract][Full Text] [Related]
20. Integrative stemness characteristics associated with prognosis and the immune microenvironment in esophageal cancer.
Yi L; Huang P; Zou X; Guo L; Gu Y; Wen C; Wu G
Pharmacol Res; 2020 Nov; 161():105144. PubMed ID: 32810627
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]