These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
344 related articles for article (PubMed ID: 30727821)
1. Identification of a novel glycolysis-related gene signature that can predict the survival of patients with lung adenocarcinoma. Liu C; Li Y; Wei M; Zhao L; Yu Y; Li G Cell Cycle; 2019 Mar; 18(5):568-579. PubMed ID: 30727821 [TBL] [Abstract][Full Text] [Related]
2. Identification of a novel glycolysis-related gene signature for predicting metastasis and survival in patients with lung adenocarcinoma. Zhang L; Zhang Z; Yu Z J Transl Med; 2019 Dec; 17(1):423. PubMed ID: 31847905 [TBL] [Abstract][Full Text] [Related]
3. A glycolysis-related gene signature predicts prognosis of patients with esophageal adenocarcinoma. Kang H; Wang N; Wang X; Zhang Y; Lin S; Mao G; Liu D; Dang C; Zhou Z Aging (Albany NY); 2020 Nov; 12(24):25828-25844. PubMed ID: 33234735 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Identification of a panel of mitotic spindle-related genes as a signature predicting survival in lung adenocarcinoma. Zhang L; He M; Zhu W; Lv X; Zhao Y; Yan Y; Li X; Jiang L; Zhao L; Fan Y; Su P; Gao M; Ma H; Li K; Wei M J Cell Physiol; 2020 May; 235(5):4361-4375. PubMed ID: 31637715 [TBL] [Abstract][Full Text] [Related]
7. Genome-scale analysis to identify prognostic markers and predict the survival of lung adenocarcinoma. Li YY; Yang C; Zhou P; Zhang S; Yao Y; Li D J Cell Biochem; 2018 Nov; 119(11):8909-8921. PubMed ID: 30105759 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. Identification of an immune signature predicting prognosis risk of patients in lung adenocarcinoma. Song Q; Shang J; Yang Z; Zhang L; Zhang C; Chen J; Wu X J Transl Med; 2019 Mar; 17(1):70. PubMed ID: 30832680 [TBL] [Abstract][Full Text] [Related]
10. 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]
11. DNA methylation profiling to predict recurrence risk in stage Ι lung adenocarcinoma: Development and validation of a nomogram to clinical management. Ma X; Cheng J; Zhao P; Li L; Tao K; Chen H J Cell Mol Med; 2020 Jul; 24(13):7576-7589. PubMed ID: 32530136 [TBL] [Abstract][Full Text] [Related]
12. The Combined Detection of Immune Genes for Predicting the Prognosis of Patients With Non-Small Cell Lung Cancer. Tian WJ; Liu SS; Li BR Technol Cancer Res Treat; 2020; 19():1533033820977504. PubMed ID: 33256552 [TBL] [Abstract][Full Text] [Related]
13. Molecular characterization of lung adenocarcinoma: A potential four-long noncoding RNA prognostic signature. Sui J; Yang S; Liu T; Wu W; Xu S; Yin L; Pu Y; Zhang X; Zhang Y; Shen B; Liang G J Cell Biochem; 2019 Jan; 120(1):705-714. PubMed ID: 30125988 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Systematic construction and validation of an epithelial-mesenchymal transition risk model to predict prognosis of lung adenocarcinoma. Tang Y; Jiang Y; Qing C; Wang J; Zeng Z Aging (Albany NY); 2020 Dec; 13(1):794-812. PubMed ID: 33340396 [TBL] [Abstract][Full Text] [Related]
16. A prognostic predictor panel with DNA methylation biomarkers for early-stage lung adenocarcinoma in Asian and Caucasian populations. Kuo IY; Jen J; Hsu LH; Hsu HS; Lai WW; Wang YC J Biomed Sci; 2016 Aug; 23(1):58. PubMed ID: 27484806 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. A novel 14-gene signature for overall survival in lung adenocarcinoma based on the Bayesian hierarchical Cox proportional hazards model. Sun N; Chu J; Hu W; Chen X; Yi N; Shen Y Sci Rep; 2022 Jan; 12(1):27. PubMed ID: 34996932 [TBL] [Abstract][Full Text] [Related]
19. A Novel Risk Model Based on Autophagy Pathway Related Genes for Survival Prediction in Lung Adenocarcinoma. Zhang F; Xie S; Zhang Z; Zhao H; Zhao Z; Sun H; Zheng J Med Sci Monit; 2020 Sep; 26():e924710. PubMed ID: 32873769 [TBL] [Abstract][Full Text] [Related]
20. Immune landscape and a novel immunotherapy-related gene signature associated with clinical outcome in early-stage lung adenocarcinoma. Bao X; Shi R; Zhao T; Wang Y J Mol Med (Berl); 2020 Jun; 98(6):805-818. PubMed ID: 32333046 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]