145 related articles for article (PubMed ID: 31096483)
1. 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]
2. 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]
3. 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]
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. [Prognostic study of visceral pleural invasion by pulmonary adenocarcinoma with tumor size ≤3 cm].
Chen TY; Ma HW; Jin RR; Xu C; Hua HJ; Song GX; Zhang WM; Zhang ZH
Zhonghua Bing Li Xue Za Zhi; 2017 Aug; 46(8):553-558. PubMed ID: 28810296
[No Abstract] [Full Text] [Related]
6. 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]
7. A novel autophagy-related lncRNA survival model for lung adenocarcinoma.
Wu L; Wen Z; Song Y; Wang L
J Cell Mol Med; 2021 Jun; 25(12):5681-5690. PubMed ID: 33987935
[TBL] [Abstract][Full Text] [Related]
8. 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]
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. Protein phosphatase 1 regulatory subunit 3G (PPP1R3G) correlates with poor prognosis and immune infiltration in lung adenocarcinoma.
Zhuo X; Chen L; Lai Z; Liu J; Li S; Hu A; Lin Y
Bioengineered; 2021 Dec; 12(1):8336-8346. PubMed ID: 34592886
[TBL] [Abstract][Full Text] [Related]
11. Eight-gene signature predicts recurrence in lung adenocarcinoma.
Zhang Y; Fan Q; Guo Y; Zhu K
Cancer Biomark; 2020; 28(4):447-457. PubMed ID: 32508318
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Analysis of genomic and transcriptomic variations as prognostic signature for lung adenocarcinoma.
Zengin T; Önal-Süzek T
BMC Bioinformatics; 2020 Sep; 21(Suppl 14):368. PubMed ID: 32998690
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. [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]
17. Density of tumor-infiltrating NK and Treg cells is associated with 5 years progression-free and overall survival in resected lung adenocarcinoma.
Szentkereszty M; Ladányi A; Gálffy G; Tóvári J; Losonczy G
Lung Cancer; 2024 Jun; 192():107824. PubMed ID: 38761665
[TBL] [Abstract][Full Text] [Related]
18. [Establishment of artificial neural network model for predicting lymph node metastasis in patients with stage Ⅱ-Ⅲ gastric cancer].
Xue Z; Lu J; Lin J; Huang CM; Li P; Xie JW; Wang JB; Lin JX; Chen QY; Zheng CH
Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Apr; 25(4):327-335. PubMed ID: 35461201
[No Abstract] [Full Text] [Related]
19. BACH1: A Potential Predictor of Survival in Early-Stage Lung Adenocarcinoma.
Zhou J; Liu Z; Zhang H; Lei T; Liu J; Zhao Y; Yao Y; Song Q
Oxid Med Cell Longev; 2022; 2022():3921095. PubMed ID: 35035660
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
