217 related articles for article (PubMed ID: 36798829)
1. A novel prognostic model related to oxidative stress for treatment prediction in lung adenocarcinoma.
Peng H; Li X; Luan Y; Wang C; Wang W
Front Oncol; 2023; 13():1078697. PubMed ID: 36798829
[TBL] [Abstract][Full Text] [Related]
2. A transient receptor potential channel-related model based on machine learning for evaluating tumor microenvironment and immunotherapeutic strategies in acute myeloid leukemia.
Hua J; Ding T; Shao Y
Front Immunol; 2022; 13():1040661. PubMed ID: 36591215
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Identification of a three-gene expression signature and construction of a prognostic nomogram predicting overall survival in lung adenocarcinoma based on TCGA and GEO databases.
Zhou Y; Gao S; Yang R; Du C; Wang Y; Wu Y
Transl Lung Cancer Res; 2022 Jul; 11(7):1479-1496. PubMed ID: 35958325
[TBL] [Abstract][Full Text] [Related]
5. Development and validation of endoplasmic reticulum stress-related eight-gene signature for predicting the overall survival of lung adenocarcinoma.
Lin L; Zhang W
Transl Cancer Res; 2022 Jul; 11(7):1909-1924. PubMed ID: 35966313
[TBL] [Abstract][Full Text] [Related]
6. An
Han Y; Wong FC; Wang D; Kahlert C
Cancer Inform; 2022; 21():11769351221100727. PubMed ID: 35645555
[TBL] [Abstract][Full Text] [Related]
7. A novel glycosylation-related gene signature predicts survival in patients with lung adenocarcinoma.
Liang JX; Chen Q; Gao W; Chen D; Qian XY; Bi JQ; Lin XC; Han BB; Liu JS
BMC Bioinformatics; 2022 Dec; 23(1):562. PubMed ID: 36575396
[TBL] [Abstract][Full Text] [Related]
8. [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]
9. 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]
10. Identification of a novel oxidative stress-related prognostic model in lung adenocarcinoma.
Zhu Y; Tang Q; Cao W; Zhou N; Jin X; Song Z; Zu L; Xu S
Front Pharmacol; 2022; 13():1030062. PubMed ID: 36467027
[No Abstract] [Full Text] [Related]
11. Prognostic model and immunotherapy prediction based on molecular chaperone-related lncRNAs in lung adenocarcinoma.
Xu Y; Tao T; Li S; Tan S; Liu H; Zhu X
Front Genet; 2022; 13():975905. PubMed ID: 36313456
[No Abstract] [Full Text] [Related]
12. Construction and validation of a novel ferroptosis-related prognostic signature for lung adenocarcinoma.
Yang L; Fan X; Zhou C; Wang Z; Cui Z; Wu X; Xu Z; Yang J; Zhang X
Transl Lung Cancer Res; 2023 Aug; 12(8):1766-1781. PubMed ID: 37691861
[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 comprehensive characterization of alternative splicing events related to prognosis and the tumor microenvironment in lung adenocarcinoma.
Ma S; Zhu J; Wang M; Han T; Zhu J; Jiang R; Jiang T
Ann Transl Med; 2022 Apr; 10(8):479. PubMed ID: 35571443
[TBL] [Abstract][Full Text] [Related]
15. Identification of metabolism-related gene signature in lung adenocarcinoma.
Wang N; Wang H
Medicine (Baltimore); 2023 Nov; 102(47):e36267. PubMed ID: 38013279
[TBL] [Abstract][Full Text] [Related]
16. A seven-gene prognostic signature predicts overall survival of patients with lung adenocarcinoma (LUAD).
Al-Dherasi A; Huang QT; Liao Y; Al-Mosaib S; Hua R; Wang Y; Yu Y; Zhang Y; Zhang X; Huang C; Mousa H; Ge D; Sufiyan S; Bai W; Liu R; Shao Y; Li Y; Zhang J; Shi L; Lv D; Li Z; Liu Q
Cancer Cell Int; 2021 Jun; 21(1):294. PubMed ID: 34092242
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Construction and validation of a novel prognostic signature of microRNAs in lung adenocarcinoma.
Li W; Liu S; Su S; Chen Y; Sun G
PeerJ; 2021; 9():e10470. PubMed ID: 33510968
[TBL] [Abstract][Full Text] [Related]
19. Identification and validation of a novel prognostic model of inflammation-related gene signature of lung adenocarcinoma.
Luo D; Feng W; Ma Y; Jiang Z
Sci Rep; 2022 Aug; 12(1):14729. PubMed ID: 36042374
[TBL] [Abstract][Full Text] [Related]
20. A large cohort study identifying a novel prognosis prediction model for lung adenocarcinoma through machine learning strategies.
Li Y; Ge D; Gu J; Xu F; Zhu Q; Lu C
BMC Cancer; 2019 Sep; 19(1):886. PubMed ID: 31488089
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
