370 related articles for article (PubMed ID: 36975430)
1. Molecular Characterization and Prognosis of Lactate-Related Genes in Lung Adenocarcinoma.
Guo Z; Hu L; Wang Q; Wang Y; Liu XP; Chen C; Li S; Hu W
Curr Oncol; 2023 Feb; 30(3):2845-2861. PubMed ID: 36975430
[TBL] [Abstract][Full Text] [Related]
2. Identification of cuproptosis-related subtypes, construction of a prognosis model, and tumor microenvironment landscape in gastric cancer.
Wang J; Qin D; Tao Z; Wang B; Xie Y; Wang Y; Li B; Cao J; Qiao X; Zhong S; Hu X
Front Immunol; 2022; 13():1056932. PubMed ID: 36479114
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of polyamines metabolism-associated gene signatures to predict prognosis and immunotherapy response in lung adenocarcinoma.
Wang N; Chai M; Zhu L; Liu J; Yu C; Huang X
Front Immunol; 2023; 14():1070953. PubMed ID: 37334367
[TBL] [Abstract][Full Text] [Related]
4. Development of a copper metabolism-related gene signature in lung adenocarcinoma.
Chang W; Li H; Zhong L; Zhu T; Chang Z; Ou W; Wang S
Front Immunol; 2022; 13():1040668. PubMed ID: 36524120
[TBL] [Abstract][Full Text] [Related]
5. Clinical Significance and Immunologic Landscape of a Five-IL(R)-Based Signature in Lung Adenocarcinoma.
Fan T; Pan S; Yang S; Hao B; Zhang L; Li D; Geng Q
Front Immunol; 2021; 12():693062. PubMed ID: 34497605
[TBL] [Abstract][Full Text] [Related]
6. Lactate regulators contribute to tumor microenvironment and predict prognosis in lung adenocarcinoma.
Shang S; Wang MZ; Xing Z; He N; Li S
Front Immunol; 2022; 13():1024925. PubMed ID: 36505423
[TBL] [Abstract][Full Text] [Related]
7. Identifying a lactic acid metabolism-related gene signature contributes to predicting prognosis, immunotherapy efficacy, and tumor microenvironment of lung adenocarcinoma.
Zhao F; Wang Z; Li Z; Liu S; Li S
Front Immunol; 2022; 13():980508. PubMed ID: 36275729
[TBL] [Abstract][Full Text] [Related]
8. Comprehensive analysis of the immunogenic cell death-related signature for predicting prognosis and immunotherapy efficiency in patients with lung adenocarcinoma.
Cui Y; Li Y; Long S; Xu Y; Liu X; Sun Z; Sun Y; Hu J; Li X
BMC Med Genomics; 2023 Aug; 16(1):184. PubMed ID: 37553698
[TBL] [Abstract][Full Text] [Related]
9. Characteristic of molecular subtypes in lung adenocarcinoma based on m6A RNA methylation modification and immune microenvironment.
Zhou H; Zheng M; Shi M; Wang J; Huang Z; Zhang H; Zhou Y; Shi J
BMC Cancer; 2021 Aug; 21(1):938. PubMed ID: 34416861
[TBL] [Abstract][Full Text] [Related]
10. Prognosis and immunotherapy significances of a cancer-associated fibroblasts-related gene signature in lung adenocarcinoma.
Luo Y; Zhang S; Xie H; Su Q; He S; Lei Z
Cell Mol Biol (Noisy-le-grand); 2023 Dec; 69(14):51-61. PubMed ID: 38279482
[TBL] [Abstract][Full Text] [Related]
11. Characterization of genomic instability-related genes predicts survival and therapeutic response in lung adenocarcinoma.
Li S; Wang W; Yu H; Zhang S; Bi W; Sun S; Hong B; Fang Z; Chen X
BMC Cancer; 2023 Nov; 23(1):1115. PubMed ID: 37974107
[TBL] [Abstract][Full Text] [Related]
12. [Construction and Validation of Prognostic Risk Score Model of Autophagy Related Genes in Lung Adenocarcinoma].
Zhou J; Wang X; Li Z; Jiang R
Zhongguo Fei Ai Za Zhi; 2021 Aug; 24(8):557-566. PubMed ID: 34256900
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Construction and validation of a prognostic model for lung adenocarcinoma based on endoplasmic reticulum stress-related genes.
Li F; Niu Y; Zhao W; Yan C; Qi Y
Sci Rep; 2022 Nov; 12(1):19857. PubMed ID: 36400857
[TBL] [Abstract][Full Text] [Related]
15. Identification of novel gene signature for lung adenocarcinoma by machine learning to predict immunotherapy and prognosis.
Shu J; Jiang J; Zhao G
Front Immunol; 2023; 14():1177847. PubMed ID: 37583701
[TBL] [Abstract][Full Text] [Related]
16. Molecular subtypes of lung adenocarcinoma patients for prognosis and therapeutic response prediction with machine learning on 13 programmed cell death patterns.
Wei Q; Jiang X; Miao X; Zhang Y; Chen F; Zhang P
J Cancer Res Clin Oncol; 2023 Oct; 149(13):11351-11368. PubMed ID: 37378675
[TBL] [Abstract][Full Text] [Related]
17. Single-cell sequencing analysis and transcriptome analysis constructed the macrophage related gene-related signature in lung adenocarcinoma and verified by an independent cohort.
Li R; Tong R; Zhang Z; Deng M; Wang T; Hou G
Genomics; 2022 Nov; 114(6):110520. PubMed ID: 36372305
[TBL] [Abstract][Full Text] [Related]
18. Combination of tumor mutation burden and immune infiltrates for the prognosis of lung adenocarcinoma.
Zhao Z; He B; Cai Q; Zhang P; Peng X; Zhang Y; Xie H; Wang X
Int Immunopharmacol; 2021 Sep; 98():107807. PubMed ID: 34175739
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]
