733 related articles for article (PubMed ID: 32298601)
1. Identification Six Metabolic Genes as Potential Biomarkers for Lung Adenocarcinoma.
Zhang S; Lu Y; Liu Z; Li X; Wang Z; Cai Z
J Comput Biol; 2020 Oct; 27(10):1532-1543. PubMed ID: 32298601
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Comprehensive analysis of TPX2-related ceRNA network as prognostic biomarkers in lung adenocarcinoma.
Huo C; Zhang MY; Li R; Zhou XJ; Liu TT; Li JP; Liu X; Qu YQ
Int J Med Sci; 2020; 17(16):2427-2439. PubMed ID: 33029085
[No Abstract] [Full Text] [Related]
5. A Seven-Gene Signature with Close Immune Correlation Was Identified for Survival Prediction of Lung Adenocarcinoma.
Zou X; Hu Z; Huang C; Chang J
Med Sci Monit; 2020 Jul; 26():e924269. PubMed ID: 32613949
[TBL] [Abstract][Full Text] [Related]
6. A ten-gene signature-based risk assessment model predicts the prognosis of lung adenocarcinoma.
Jiang H; Xu S; Chen C
BMC Cancer; 2020 Aug; 20(1):782. PubMed ID: 32819300
[TBL] [Abstract][Full Text] [Related]
7. Construction of the optimization prognostic model based on differentially expressed immune genes of lung adenocarcinoma.
Zhai Y; Zhao B; Wang Y; Li L; Li J; Li X; Chang L; Chen Q; Liao Z
BMC Cancer; 2021 Mar; 21(1):213. PubMed ID: 33648465
[TBL] [Abstract][Full Text] [Related]
8. AHNAK2 Is Associated with Poor Prognosis and Cell Migration in Lung Adenocarcinoma.
Zhang S; Lu Y; Qi L; Wang H; Wang Z; Cai Z
Biomed Res Int; 2020; 2020():8571932. PubMed ID: 32904605
[TBL] [Abstract][Full Text] [Related]
9. Identification of a methylomics-associated nomogram for predicting overall survival of stage I-II lung adenocarcinoma.
Wang H; Wei C; Pan P; Yuan F; Cheng J
Sci Rep; 2021 May; 11(1):9938. PubMed ID: 33976305
[TBL] [Abstract][Full Text] [Related]
10. [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]
11. Identification and validation of a novel redox-related lncRNA prognostic signature in lung adenocarcinoma.
Ren J; Wang A; Liu J; Yuan Q
Bioengineered; 2021 Dec; 12(1):4331-4348. PubMed ID: 34338158
[TBL] [Abstract][Full Text] [Related]
12. Predictions of the dysregulated competing endogenous RNA signature involved in the progression of human lung adenocarcinoma.
Yang D; He Y; Wu B; Liu R; Wang N; Wang T; Luo Y; Li Y; Liu Y
Cancer Biomark; 2020; 29(3):399-416. PubMed ID: 32741804
[TBL] [Abstract][Full Text] [Related]
13. Potential Prognostic Biomarkers of Lung Adenocarcinoma Based on Bioinformatic Analysis.
Hou J; Yao C
Biomed Res Int; 2021; 2021():8859996. PubMed ID: 33511215
[TBL] [Abstract][Full Text] [Related]
14. Establishment and validation of an immune-associated signature in lung adenocarcinoma.
Wang Z; Chen X
Int Immunopharmacol; 2020 Nov; 88():106867. PubMed ID: 32799112
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Prognostic value of SEC61G in lung adenocarcinoma: a comprehensive study based on bioinformatics and in vitro validation.
Zheng Q; Wang Z; Zhang M; Yu Y; Chen R; Lu T; Liu L; Ma J; Liu T; Zheng H; Li H; Li J
BMC Cancer; 2021 Nov; 21(1):1216. PubMed ID: 34774014
[TBL] [Abstract][Full Text] [Related]
17. The High Expression of PTPRH Is Associated with Poor Prognosis of Human Lung Adenocarcinoma.
Chen A; Ding S; Shen X; Lin X
Comput Math Methods Med; 2021; 2021():9932088. PubMed ID: 34367321
[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. Establishment and validation of an eight-gene metabolic-related prognostic signature model for lung adenocarcinoma.
Ma W; Liang J; Liu J; Tian D; Chen Z
Aging (Albany NY); 2021 Feb; 13(6):8688-8705. PubMed ID: 33619235
[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]