287 related articles for article (PubMed ID: 34996932)
21. Development of a novel prognostic signature of long non-coding RNAs in lung adenocarcinoma.
Zheng S; Zheng D; Dong C; Jiang J; Xie J; Sun Y; Chen H
J Cancer Res Clin Oncol; 2017 Sep; 143(9):1649-1657. PubMed ID: 28409273
[TBL] [Abstract][Full Text] [Related]
22. Identification and Validation of a Tumor Microenvironment-Related Gene Signature for Prognostic Prediction in Advanced-Stage Non-Small-Cell Lung Cancer.
Zhang X; Shi X; Zhao H; Jia X; Yang Y
Biomed Res Int; 2021; 2021():8864436. PubMed ID: 33860055
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Identification and Validation of a Proliferation-Associated Score Model Predicting Survival in Lung Adenocarcinomas.
Bian Y; Sui Q; Bi G; Zheng Y; Zhao M; Yao G; Xue L; Zhang Y; Fan H
Dis Markers; 2021; 2021():3219594. PubMed ID: 34721732
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Profiles of immune infiltration in lung adenocarcinoma and their clinical significant: A gene-expression-based retrospective study.
Chen G; Dong Z; Wu D; Chen Y
J Cell Biochem; 2020 Nov; 121(11):4431-4439. PubMed ID: 32003059
[TBL] [Abstract][Full Text] [Related]
27. High GJB2 mRNA expression and its prognostic significance in lung adenocarcinoma: a study based on the TCGA database.
Tang Y; Zhang YJ; Wu ZH
Medicine (Baltimore); 2020 Apr; 99(14):e19054. PubMed ID: 32243356
[TBL] [Abstract][Full Text] [Related]
28. Unique metastasis-associated lncRNA signature optimizes prediction of tumor relapse in lung adenocarcinoma.
Zhang X; Han J; Du L; Li X; Hao J; Wang L; Zheng G; Duan W; Xie Y; Zhao Y; Zhang X; Zou M; Wang C
Thorac Cancer; 2020 Mar; 11(3):728-737. PubMed ID: 31994347
[TBL] [Abstract][Full Text] [Related]
29. Development and validation of a novel epigenetic-related prognostic signature and candidate drugs for patients with lung adenocarcinoma.
Wang Z; Embaye KS; Yang Q; Qin L; Zhang C; Liu L; Zhan X; Zhang F; Wang X; Qin S
Aging (Albany NY); 2021 Jul; 13(14):18701-18717. PubMed ID: 34285141
[TBL] [Abstract][Full Text] [Related]
30. Elevated mRNA Levels of AURKA, CDC20 and TPX2 are associated with poor prognosis of smoking related lung adenocarcinoma using bioinformatics analysis.
Zhang MY; Liu XX; Li H; Li R; Liu X; Qu YQ
Int J Med Sci; 2018; 15(14):1676-1685. PubMed ID: 30588191
[No Abstract] [Full Text] [Related]
31. A novel ferroptosis-related genes model for prognosis prediction of lung adenocarcinoma.
Li F; Ge D; Sun SL
BMC Pulm Med; 2021 Jul; 21(1):229. PubMed ID: 34256754
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Survival prediction for patients with lung adenocarcinoma: A prognostic risk model based on gene mutations.
Geng H; Li S; Guo Y; Yan F; Han Y; Xu M; Cui Y
Cancer Biomark; 2020; 27(4):525-532. PubMed ID: 32083571
[TBL] [Abstract][Full Text] [Related]
34. Establishment of a Gene Signature to Predict Prognosis for Patients with Lung Adenocarcinoma.
Li Z; Qi F; Li F
Int J Mol Sci; 2020 Nov; 21(22):. PubMed ID: 33187219
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Identification of a multidimensional transcriptome prognostic signature for lung adenocarcinoma.
Ye J; Liu H; Xu ZL; Zheng L; Liu RY
J Clin Lab Anal; 2019 Nov; 33(9):e22990. PubMed ID: 31402485
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Exploring the survival prognosis of lung adenocarcinoma based on the cancer genome atlas database using artificial neural network.
Jiang N; Xu X
Medicine (Baltimore); 2019 May; 98(20):e15642. PubMed ID: 31096483
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. High expression of RRM2 as an independent predictive factor of poor prognosis in patients with lung adenocarcinoma.
Jin CY; Du L; Nuerlan AH; Wang XL; Yang YW; Guo R
Aging (Albany NY); 2020 Dec; 13(3):3518-3535. PubMed ID: 33411689
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
