651 related articles for article (PubMed ID: 36699466)
1. Pan-cancer analysis identifies proteasome 26S subunit, ATPase (PSMC) family genes, and related signatures associated with prognosis, immune profile, and therapeutic response in lung adenocarcinoma.
Jia H; Tang WJ; Sun L; Wan C; Zhou Y; Shen WZ
Front Genet; 2022; 13():1017866. PubMed ID: 36699466
[No Abstract] [Full Text] [Related]
2. 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]
3. Comprehensive
Xu T; Xu W; Zheng Y; Li X; Cai H; Xu Z; Zou Q; Yu B
Front Immunol; 2022; 13():931906. PubMed ID: 35958598
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identification of immune activation-related gene signature for predicting prognosis and immunotherapy efficacy in lung adenocarcinoma.
Zeng W; Wang J; Yang J; Chen Z; Cui Y; Li Q; Luo G; Ding H; Ju S; Li B; Chen J; Xie Y; Tong X; Liu M; Zhao J
Front Immunol; 2023; 14():1217590. PubMed ID: 37492563
[TBL] [Abstract][Full Text] [Related]
6. Prognostic Value and Genome Signature of m6A/m5C Regulated Genes in Early-Stage Lung Adenocarcinoma.
Tian L; Wang Y; Tian J; Song W; Li L; Che G
Int J Mol Sci; 2023 Mar; 24(7):. PubMed ID: 37047493
[TBL] [Abstract][Full Text] [Related]
7. Leveraging diverse cell-death patterns to predict the clinical outcome of immune checkpoint therapy in lung adenocarcinoma: Based on muti-omics analysis and vitro assay.
Liang H; Li Y; Qu Y; Zhang L
Oncol Res; 2023; 32(2):393-407. PubMed ID: 38186574
[TBL] [Abstract][Full Text] [Related]
8. Pan-cancer analysis of UBE2T with a focus on prognostic and immunological roles in lung adenocarcinoma.
Cao K; Ling X; Jiang X; Ma J; Zhu J
Respir Res; 2022 Nov; 23(1):306. PubMed ID: 36357897
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Identification of N7-methylguanosine related signature for prognosis and immunotherapy efficacy prediction in lung adenocarcinoma.
Li Z; Wang W; Wu J; Ye X
Front Med (Lausanne); 2022; 9():962972. PubMed ID: 36091687
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Comprehensive analysis identifies DNA damage repair-related gene HCLS1 associated with good prognosis in lung adenocarcinoma.
Liu T; Hu A; Chen H; Li Y; Wang Y; Guo Y; Liu T; Zhou J; Li D; Chen Q
Transl Cancer Res; 2023 Oct; 12(10):2613-2628. PubMed ID: 37969376
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Machine learning developed a programmed cell death signature for predicting prognosis and immunotherapy benefits in lung adenocarcinoma.
Ding D; Wang L; Zhang Y; Shi K; Shen Y
Transl Oncol; 2023 Dec; 38():101784. PubMed ID: 37722290
[TBL] [Abstract][Full Text] [Related]
15. Comprehensive Analysis of Immune Implication and Prognostic Value of
Zeng Y; Zhang Z; Chen H; Fan J; Yuan W; Li J; Zhou S; Liu W
Front Oncol; 2021; 11():798425. PubMed ID: 35047409
[TBL] [Abstract][Full Text] [Related]
16. Immune landscape and a promising immune prognostic model associated with TP53 in early-stage lung adenocarcinoma.
Wu C; Rao X; Lin W
Cancer Med; 2021 Feb; 10(3):806-823. PubMed ID: 33314730
[TBL] [Abstract][Full Text] [Related]
17. Development and validation of a robust immune-related prognostic signature in early-stage lung adenocarcinoma.
Wu P; Zheng Y; Wang Y; Wang Y; Liang N
J Transl Med; 2020 Oct; 18(1):380. PubMed ID: 33028329
[TBL] [Abstract][Full Text] [Related]
18. Identification and validation of tryptophan metabolism-related lncRNAs in lung adenocarcinoma prognosis and immune response.
Gao M; Wang M; Chen Y; Wu J; Zhou S; He W; Shu Y; Wang X
J Cancer Res Clin Oncol; 2024 Apr; 150(4):171. PubMed ID: 38558328
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Tumor necrosis factor-related lncRNAs predict prognosis and immunotherapy response for patients with lung adenocarcinoma.
Chen JH; Wu X; Wang ZM; Liu ZY; He BX; Song WP; Zhang WZ
J Thorac Dis; 2023 Mar; 15(3):1373-1386. PubMed ID: 37065578
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
