437 related articles for article (PubMed ID: 38186574)
1. 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]
2. 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]
3. Prognostic Cell Death Index for Lung Adenocarcinoma: A Comprehensive Transcriptome-Based Analysis of Twelve Programmed Cell Death Pattern Genes.
Chen F; Ma J; Hu S; Wu C; Chen S; Lin J
Front Biosci (Landmark Ed); 2024 Apr; 29(4):135. PubMed ID: 38682187
[TBL] [Abstract][Full Text] [Related]
4. 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]
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. NGEF is a potential prognostic biomarker and could serve as an indicator for immunotherapy and chemotherapy in lung adenocarcinoma.
Chen X; Zhang T; He YQ; Miao TW; Yin J; Ding Q; Yang M; Chen FY; Zeng HP; Liu J; Zhu Q
BMC Pulm Med; 2024 May; 24(1):248. PubMed ID: 38764064
[TBL] [Abstract][Full Text] [Related]
7. Combining autophagy and immune characterizations to predict prognosis and therapeutic response in lung adenocarcinoma.
Li Q; Xie D; Yao L; Qiu H; You P; Deng J; Li C; Zhan W; Weng M; Wu S; Li F; Zhou Y; Zeng F; Zheng Y; Zhou H
Front Immunol; 2022; 13():944378. PubMed ID: 36177001
[TBL] [Abstract][Full Text] [Related]
8. A New Prognostic Indicator of Immune Microenvironment and Therapeutic Response in Lung Adenocarcinoma Based on Peroxisome-Related Genes.
Xiong Z; Zhang L; Fan W
J Immunol Res; 2022; 2022():6084589. PubMed ID: 35935579
[TBL] [Abstract][Full Text] [Related]
9. Subtype classification based on t cell proliferation-related regulator genes and risk model for predicting outcomes of lung adenocarcinoma.
Yang Q; Zhu W; Gong H
Front Immunol; 2023; 14():1148483. PubMed ID: 37077919
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. An ICD-Associated DAMP Gene signature predicts survival and immunotherapy response of patients with lung adenocarcinoma.
Wu Y; Li K; Liang S; Lou X; Li Y; Xu D; Wu Y; Wang Y; Cui W
Respir Res; 2023 May; 24(1):142. PubMed ID: 37259066
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Comprehensive analysis of a novel signature incorporating lipid metabolism and immune-related genes for assessing prognosis and immune landscape in lung adenocarcinoma.
Wang Y; Xu J; Fang Y; Gu J; Zhao F; Tang Y; Xu R; Zhang B; Wu J; Fang Z; Li Y
Front Immunol; 2022; 13():950001. PubMed ID: 36091041
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
18. Machine-learning developed an iron, copper, and sulfur-metabolism associated signature predicts lung adenocarcinoma prognosis and therapy response.
Zhang L; Zhang X; Guan M; Zeng J; Yu F; Lai F
Respir Res; 2024 May; 25(1):206. PubMed ID: 38745285
[TBL] [Abstract][Full Text] [Related]
19. Clinical Significance and Immunometabolism Landscapes of a Novel Recurrence-Associated Lipid Metabolism Signature In Early-Stage Lung Adenocarcinoma: A Comprehensive Analysis.
Zhu M; Zeng Q; Fan T; Lei Y; Wang F; Zheng S; Wang X; Zeng H; Tan F; Sun N; Xue Q; He J
Front Immunol; 2022; 13():783495. PubMed ID: 35222371
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]