332 related articles for article (PubMed ID: 36505456)
21. A risk model developed based on tumor microenvironment predicts overall survival and associates with tumor immunity of patients with lung adenocarcinoma.
Wu J; Li L; Zhang H; Zhao Y; Zhang H; Wu S; Xu B
Oncogene; 2021 Jul; 40(26):4413-4424. PubMed ID: 34108619
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. The integrated single-cell analysis developed a lactate metabolism-driven signature to improve outcomes and immunotherapy in lung adenocarcinoma.
Zhang P; Pei S; Gong Z; Ren Q; Xie J; Liu H; Wang W
Front Endocrinol (Lausanne); 2023; 14():1154410. PubMed ID: 37033259
[TBL] [Abstract][Full Text] [Related]
24. Molecular map of disulfidptosis-related genes in lung adenocarcinoma: the perspective toward immune microenvironment and prognosis.
Zhao F; Su L; Wang X; Luan J; Zhang X; Li Y; Li S; Hu L
Clin Epigenetics; 2024 Feb; 16(1):26. PubMed ID: 38342890
[TBL] [Abstract][Full Text] [Related]
25. A novel zinc metabolism-related gene signature to predict prognosis and immunotherapy response in lung adenocarcinoma.
Chang W; Li H; Ou W; Wang SY
Front Immunol; 2023; 14():1147528. PubMed ID: 37033934
[TBL] [Abstract][Full Text] [Related]
26. An immune indicator based on BTK and DPEP2 identifies hot and cold tumors and clinical treatment outcomes in lung adenocarcinoma.
Han T; Liu Y; Wu J; Bai Y; Zhou J; Hu C; Zhang W; Guo J; Wang Q; Hu D
Sci Rep; 2023 Mar; 13(1):5153. PubMed ID: 36991102
[TBL] [Abstract][Full Text] [Related]
27. Prediction of prognosis and immunotherapy efficacy based on metabolic landscape in lung adenocarcinoma by bulk, single-cell RNA sequencing and Mendelian randomization analyses.
Liu Y; Zhang X; Pang Z; Wang Y; Zheng H; Wang G; Wang K; Du J
Aging (Albany NY); 2024 May; 16(10):8772-8809. PubMed ID: 38771130
[TBL] [Abstract][Full Text] [Related]
28. By integrating single-cell RNA-seq and bulk RNA-seq in sphingolipid metabolism, CACYBP was identified as a potential therapeutic target in lung adenocarcinoma.
Zhang P; Pei S; Gong Z; Feng Y; Zhang X; Yang F; Wang W
Front Immunol; 2023; 14():1115272. PubMed ID: 36776843
[TBL] [Abstract][Full Text] [Related]
29. Identification and validation of a novel cuproptosis-related stemness signature to predict prognosis and immune landscape in lung adenocarcinoma by integrating single-cell and bulk RNA-sequencing.
Yang J; Liu K; Yang L; Ji J; Qin J; Deng H; Wang Z
Front Immunol; 2023; 14():1174762. PubMed ID: 37287976
[TBL] [Abstract][Full Text] [Related]
30. Prediction of prognosis, immunogenicity and efficacy of immunotherapy based on glutamine metabolism in lung adenocarcinoma.
Liu J; Shen H; Gu W; Zheng H; Wang Y; Ma G; Du J
Front Immunol; 2022; 13():960738. PubMed ID: 36032135
[TBL] [Abstract][Full Text] [Related]
31. Immunogenic cell death-related long noncoding RNA influences immunotherapy against lung adenocarcinoma.
Sun D; Zhang C
Oncol Res; 2023; 31(5):753-767. PubMed ID: 37547766
[TBL] [Abstract][Full Text] [Related]
32. Integrating bulk-RNA sequencing and single-cell sequencing analyses to characterize adenosine-enriched tumor microenvironment landscape and develop an adenosine-related prognostic signature predicting immunotherapy in lung adenocarcinoma.
Han T; Wu J; Liu Y; Zhou J; Miao R; Guo J; Xu Z; Xing Y; Bai Y; Hu D
Funct Integr Genomics; 2024 Jan; 24(1):19. PubMed ID: 38265702
[TBL] [Abstract][Full Text] [Related]
33. An aging-related signature predicts favorable outcome and immunogenicity in lung adenocarcinoma.
Zhang W; Li Y; Lyu J; Shi F; Kong Y; Sheng C; Wang S; Wang Q
Cancer Sci; 2022 Mar; 113(3):891-903. PubMed ID: 34967077
[TBL] [Abstract][Full Text] [Related]
34. Molecular subtypes based on ferroptosis-related genes and tumor microenvironment infiltration characterization in lung adenocarcinoma.
Zhang W; Yao S; Huang H; Zhou H; Zhou H; Wei Q; Bian T; Sun H; Li X; Zhang J; Liu Y
Oncoimmunology; 2021; 10(1):1959977. PubMed ID: 34527427
[TBL] [Abstract][Full Text] [Related]
35.
Liu L; Wang C; Li S; Qu Y; Xue P; Ma Z; Zhang X; Bai H; Wang J
Front Immunol; 2021; 12():677169. PubMed ID: 34354701
[TBL] [Abstract][Full Text] [Related]
36. Machine Learning-Based Integration Develops a Macrophage-Related Index for Predicting Prognosis and Immunotherapy Response in Lung Adenocarcinoma.
Li Z; Guo M; Lin W; Huang P
Arch Med Res; 2023 Nov; 54(7):102897. PubMed ID: 37865004
[TBL] [Abstract][Full Text] [Related]
37. Single-cell transcriptome analysis revealed a suppressive tumor immune microenvironment in EGFR mutant lung adenocarcinoma.
Yang L; He YT; Dong S; Wei XW; Chen ZH; Zhang B; Chen WD; Yang XR; Wang F; Shang XM; Zhong WZ; Wu YL; Zhou Q
J Immunother Cancer; 2022 Jan; 10(2):. PubMed ID: 35140113
[TBL] [Abstract][Full Text] [Related]
38. The Comprehensive Analysis Identified an Autophagy Signature for the Prognosis and the Immunotherapy Efficiency Prediction in Lung Adenocarcinoma.
Li X; Dai Z; Wu X; Zhang N; Zhang H; Wang Z; Zhang X; Liang X; Luo P; Zhang J; Liu Z; Zhou Y; Cheng Q; Chang R
Front Immunol; 2022; 13():749241. PubMed ID: 35529878
[TBL] [Abstract][Full Text] [Related]
39. Novel immunogenic cell death-related risk signature to predict prognosis and immune microenvironment in lung adenocarcinoma.
Li Q; Tang Y; Wang T; Zhu J; Zhou Y; Shi J
J Cancer Res Clin Oncol; 2023 Jan; 149(1):307-323. PubMed ID: 36575346
[TBL] [Abstract][Full Text] [Related]
40. Identification of immune-related gene signature predicting survival in the tumor microenvironment of lung adenocarcinoma.
Zhao M; Li M; Chen Z; Bian Y; Zheng Y; Hu Z; Liang J; Huang Y; Yin J; Zhan C; Feng M; Wang Q
Immunogenetics; 2020 Dec; 72(9-10):455-465. PubMed ID: 33188484
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]