145 related articles for article (PubMed ID: 36879295)
21. Single-cell RNA-seq reveals T cell exhaustion and immune response landscape in osteosarcoma.
Fan Q; Wang Y; Cheng J; Pan B; Zang X; Liu R; Deng Y
Front Immunol; 2024; 15():1362970. PubMed ID: 38629071
[TBL] [Abstract][Full Text] [Related]
22. A five-gene signature for predicting overall survival of esophagus adenocarcinoma.
Lan T; Liu W; Lu Y; Luo H
Medicine (Baltimore); 2021 Apr; 100(14):e25305. PubMed ID: 33832101
[TBL] [Abstract][Full Text] [Related]
23. Protein coding gene CRNKL1 as a potential prognostic biomarker in esophageal adenocarcinoma.
Li Z; Yao Q; Zhao S; Wang Z; Li Y
Artif Intell Med; 2017 Feb; 76():1-6. PubMed ID: 28363284
[TBL] [Abstract][Full Text] [Related]
24. The identification of genes associated T-cell exhaustion and construction of prognostic signature to predict immunotherapy response in lung adenocarcinoma.
Wu Y; Du B; Lin M; Ji X; Lv C; Lai J
Sci Rep; 2023 Aug; 13(1):13415. PubMed ID: 37592010
[TBL] [Abstract][Full Text] [Related]
25. Development of immune gene pair-based signature predictive of prognosis and immunotherapy in esophageal cancer.
Cao K; Ma T; Ling X; Liu M; Jiang X; Ma K; Zhu J; Ma J
Ann Transl Med; 2021 Oct; 9(20):1591. PubMed ID: 34790797
[TBL] [Abstract][Full Text] [Related]
26. Master transcription factors form interconnected circuitry and orchestrate transcriptional networks in oesophageal adenocarcinoma.
Chen L; Huang M; Plummer J; Pan J; Jiang YY; Yang Q; Silva TC; Gull N; Chen S; Ding LW; An O; Yang H; Cheng Y; Said JW; Doan N; Dinjens WN; Waters KM; Tuli R; Gayther SA; Klempner SJ; Berman BP; Meltzer SJ; Lin DC; Koeffler HP
Gut; 2020 Apr; 69(4):630-640. PubMed ID: 31409603
[TBL] [Abstract][Full Text] [Related]
27. The Characteristics of Transcription Factors Regulating T Cell Exhaustion Were Analyzed to Predict the Prognosis and Therapeutic Effect in Patients with HCC.
Li J; Zhou K; Wu M; Zhang R; Jin X; Qiao H; Li J; Cao X; Zhang S; Dong G
Int J Gen Med; 2023; 16():5597-5619. PubMed ID: 38045905
[TBL] [Abstract][Full Text] [Related]
28. Prognostic features of the tumour microenvironment in oesophageal adenocarcinoma.
McShane R; Arya S; Stewart AJ; Caie PD; Bates M
Biochim Biophys Acta Rev Cancer; 2021 Dec; 1876(2):188598. PubMed ID: 34332022
[TBL] [Abstract][Full Text] [Related]
29. Pan-Cancer Analysis of Immune Cell Infiltration Identifies a Prognostic Immune-Cell Characteristic Score (ICCS) in Lung Adenocarcinoma.
Zuo S; Wei M; Wang S; Dong J; Wei J
Front Immunol; 2020; 11():1218. PubMed ID: 32714316
[No Abstract] [Full Text] [Related]
30. Subtypes of Barrett's oesophagus and oesophageal adenocarcinoma based on genome-wide methylation analysis.
Yu M; Maden SK; Stachler M; Kaz AM; Ayers J; Guo Y; Carter KT; Willbanks A; Heinzerling TJ; O'Leary RM; Xu X; Bass A; Chandar AK; Chak A; Elliott R; Willis JE; Markowitz SD; Grady WM
Gut; 2019 Mar; 68(3):389-399. PubMed ID: 29884612
[TBL] [Abstract][Full Text] [Related]
31. Integrating machine learning and single-cell trajectories to analyze T-cell exhaustion to predict prognosis and immunotherapy in colon cancer patients.
Shen X; Zuo X; Liang L; Wang L; Luo B
Front Immunol; 2023; 14():1162843. PubMed ID: 37207222
[TBL] [Abstract][Full Text] [Related]
32. A blood-based circulating microbial metagenomic panel for early diagnosis and prognosis of oesophageal adenocarcinoma.
Zaidi AH; Pratama MY; Omstead AN; Gorbonova A; Mansoor R; Melton-Kreft R; Jobe BA; Wagner PL; Kelly RJ; Goel A
Br J Cancer; 2022 Nov; 127(11):2016-2024. PubMed ID: 36097175
[TBL] [Abstract][Full Text] [Related]
33. A multi-omics-based investigation of the prognostic and immunological impact of necroptosis-related mRNA in patients with cervical squamous carcinoma and adenocarcinoma.
Zou J; Lin Z; Jiao W; Chen J; Lin L; Zhang F; Zhang X; Zhao J
Sci Rep; 2022 Oct; 12(1):16773. PubMed ID: 36202899
[TBL] [Abstract][Full Text] [Related]
34. A glycolysis-related gene signature predicts prognosis of patients with esophageal adenocarcinoma.
Kang H; Wang N; Wang X; Zhang Y; Lin S; Mao G; Liu D; Dang C; Zhou Z
Aging (Albany NY); 2020 Nov; 12(24):25828-25844. PubMed ID: 33234735
[TBL] [Abstract][Full Text] [Related]
35. Identification of a Diagnosis and Therapeutic Inflammatory Response-Related Gene Signature Associated with Esophageal Adenocarcinoma.
Xie Y; Li J; Tao Q; Zeng C; Chen Y
Crit Rev Eukaryot Gene Expr; 2023; 33(7):65-80. PubMed ID: 37602454
[TBL] [Abstract][Full Text] [Related]
36. Profiles of autophagy-related genes in esophageal adenocarcinoma.
Zhu L; Dong L; Feng M; Yang F; Jiang W; Huang Z; Liu F; Wang L; Wang G; Li Q
BMC Cancer; 2020 Oct; 20(1):943. PubMed ID: 32998713
[TBL] [Abstract][Full Text] [Related]
37. Identification of key genes associated with esophageal adenocarcinoma based on bioinformatics analysis.
Qi W; Li R; Li L; Li S; Zhang H; Tian H
Ann Transl Med; 2021 Dec; 9(23):1711. PubMed ID: 35071405
[TBL] [Abstract][Full Text] [Related]
38. Identification of a cytokine-dominated immunosuppressive class in squamous cell lung carcinoma with implications for immunotherapy resistance.
Yang M; Lin C; Wang Y; Chen K; Zhang H; Li W
Genome Med; 2022 Jul; 14(1):72. PubMed ID: 35799269
[TBL] [Abstract][Full Text] [Related]
39. Prognostic value and targeted inhibition of survivin expression in esophageal adenocarcinoma and cancer-adjacent squamous epithelium.
Malhotra U; Zaidi AH; Kosovec JE; Kasi PM; Komatsu Y; Rotoloni CL; Davison JM; R C; Irvin ; Hoppo T; Nason KS; Kelly LA; Gibson MK; Jobe BA
PLoS One; 2013; 8(11):e78343. PubMed ID: 24223792
[TBL] [Abstract][Full Text] [Related]
40. Prevalence and significance of HMGA2 expression in oesophageal adenocarcinoma.
Mito JK; Agoston AT; Dal Cin P; Srivastava A
Histopathology; 2017 Dec; 71(6):909-917. PubMed ID: 28710822
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
