454 related articles for article (PubMed ID: 37553698)
1. 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]
2. 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]
3. The integrated single-cell analysis developed an immunogenic cell death signature to predict lung adenocarcinoma prognosis and immunotherapy.
Zhang P; Zhang H; Tang J; Ren Q; Zhang J; Chi H; Xiong J; Gong X; Wang W; Lin H; Li J; Huang C
Aging (Albany NY); 2023 Oct; 15(19):10305-10329. PubMed ID: 37796202
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Identifying an immunogenic cell death-related gene signature contributes to predicting prognosis, immunotherapy efficacy, and tumor microenvironment of lung adenocarcinoma.
Li X; Zhang D; Guo P; Ma S; Gao S; Li S; Yuan Y
Aging (Albany NY); 2024 Apr; 16(7):6290-6313. PubMed ID: 38575204
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. An immunogenic cell death-related signature predicts prognosis and immunotherapy response in stomach adenocarcinoma.
Liu Z; Sun L; Peng X; Liu S; Zhu Z; Huang C
Apoptosis; 2023 Dec; 28(11-12):1564-1583. PubMed ID: 37580435
[TBL] [Abstract][Full Text] [Related]
8. Immunogenic cell death-based prognostic model for predicting the response to immunotherapy and common therapy in lung adenocarcinoma.
Zhou X; Xu R; Lu T; Wang C; Chang X; Peng B; Shen Z; Yao L; Wang K; Xu C; Shi J; Zhang R; Zhao J; Zhang L
Sci Rep; 2023 Aug; 13(1):13305. PubMed ID: 37587188
[TBL] [Abstract][Full Text] [Related]
9. Identification of molecular subtypes and prognostic model to reveal immune infiltration and predict prognosis based on immunogenic cell death-related genes in lung adenocarcinoma.
Dong Y; Yu X; Song H; Chen Q; Zheng B; Ji X; Xu M; Liu J; Sun X; Wang Q; Ren R; Lu H
Cell Cycle; 2023; 22(23-24):2566-2583. PubMed ID: 38164943
[TBL] [Abstract][Full Text] [Related]
10. Construction and validation of a T cell proliferation regulator-related signature for predicting prognosis and immunotherapy response in lung adenocarcinoma.
Chang W; Li H; Cheng Y; He H; Ou W; Wang SY
Front Immunol; 2023; 14():1171145. PubMed ID: 37081889
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. A novel signature predicts prognosis and immunotherapy in lung adenocarcinoma based on cancer-associated fibroblasts.
Ren Q; Zhang P; Lin H; Feng Y; Chi H; Zhang X; Xia Z; Cai H; Yu Y
Front Immunol; 2023; 14():1201573. PubMed ID: 37325647
[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. Integration of Single-Cell RNA Sequencing and Bulk RNA Sequencing to Identify an Immunogenic Cell Death-Related 5-Gene Prognostic Signature in Hepatocellular Carcinoma.
Peng L; Xu S; Xu JL
J Hepatocell Carcinoma; 2024; 11():879-900. PubMed ID: 38770169
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Development of an immunogenic cell death prognostic signature for predicting clinical outcome and immune infiltration characterization in stomach adenocarcinoma.
Liu Y; Zhang L; Lei X; Yin X; Liu S
Aging (Albany NY); 2023 Oct; 15(20):11389-11411. PubMed ID: 37862109
[TBL] [Abstract][Full Text] [Related]
19. Construction and comprehensive analysis of a novel prognostic signature associated with immunogenic cell death molecular subtypes in patients with bladder cancer.
Gu L; Hu G; Hu J; Wen F
Heliyon; 2023 Aug; 9(8):e18848. PubMed ID: 37593621
[TBL] [Abstract][Full Text] [Related]
20. Characterization of immunogenic cell death regulators predicts survival and immunotherapy response in lung adenocarcinoma.
Zhou D; Cui Y; Zhu M; Lin Y; Guo J; Li Y; Zhang J; Wu Z; Guo J; Chen Y; Liang W; Lin W; Lei K; Zhao T; You Q
Life Sci; 2024 Feb; 338():122396. PubMed ID: 38171413
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
