183 related articles for article (PubMed ID: 35733175)
41. Weighted gene coexpression network analysis identifies hub genes related to KRAS mutant lung adenocarcinoma.
Dai D; Shi R; Han S; Jin H; Wang X
Medicine (Baltimore); 2020 Aug; 99(32):e21478. PubMed ID: 32769881
[TBL] [Abstract][Full Text] [Related]
42. [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]
43. Development and Validation of a Seven-Gene Signature for Predicting the Prognosis of Lung Adenocarcinoma.
Zhang Y; Zhang X; Lv X; Zhang M; Gao X; Liu J; Xu Y; Fang Z; Chen W
Biomed Res Int; 2020; 2020():1836542. PubMed ID: 33195688
[TBL] [Abstract][Full Text] [Related]
44. The Potential Bioactive Components of Nine TCM Prescriptions Against COVID-19 in Lung Cancer Were Explored Based on Network Pharmacology and Molecular Docking.
Du L; Xiao Y; Xu Y; Chen F; Chu X; Cao Y; Zhang X
Front Med (Lausanne); 2021; 8():813119. PubMed ID: 35127768
[TBL] [Abstract][Full Text] [Related]
45. Immune- and Stemness-Related Genes Revealed by Comprehensive Analysis and Validation for Cancer Immunity and Prognosis and Its Nomogram in Lung Adenocarcinoma.
Chen M; Wang X; Wang W; Gui X; Li Z
Front Immunol; 2022; 13():829057. PubMed ID: 35833114
[TBL] [Abstract][Full Text] [Related]
46. [Effect of "Hedyotis Diffusae Herba-Smilacis Glabrae Rhizoma" in treatment of lung adenocarcinoma based on network pharmacology].
Li JL; Hou W
Zhongguo Zhong Yao Za Zhi; 2021 Dec; 46(23):6261-6270. PubMed ID: 34951253
[TBL] [Abstract][Full Text] [Related]
47. Integrated bioinformatics-cheminformatics approach toward locating pseudo-potential antiviral marine alkaloids against SARS-CoV-2-Mpro.
Swain SS; Singh SR; Sahoo A; Panda PK; Hussain T; Pati S
Proteins; 2022 Sep; 90(9):1617-1633. PubMed ID: 35384056
[TBL] [Abstract][Full Text] [Related]
48. Genome‑wide investigation of the clinical significance and prospective molecular mechanisms of kinesin family member genes in patients with lung adenocarcinoma.
Zhang L; Zhu G; Wang X; Liao X; Huang R; Huang C; Huang P; Zhang J; Wang P
Oncol Rep; 2019 Sep; 42(3):1017-1034. PubMed ID: 31322267
[TBL] [Abstract][Full Text] [Related]
49. 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]
50. Integrative analyses identified ion channel genes GJB2 and SCNN1B as prognostic biomarkers and therapeutic targets for lung adenocarcinoma.
Lu A; Shi Y; Liu Y; Lin J; Zhang H; Guo Y; Li L; Lin Z; Wu J; Ji D; Wang C
Lung Cancer; 2021 Aug; 158():29-39. PubMed ID: 34111567
[TBL] [Abstract][Full Text] [Related]
51. 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]
52. Immunoprognostic model of lung adenocarcinoma and screening of sensitive drugs.
Liang P; Li J; Chen J; Lu J; Hao Z; Shi J; Chang Q; Zeng Z
Sci Rep; 2022 May; 12(1):7162. PubMed ID: 35504892
[TBL] [Abstract][Full Text] [Related]
53. 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]
54. Six CT83-related Genes-based Prognostic Signature for Lung Adenocarcinoma.
Wang Y; Zhang G; Wang R
Comb Chem High Throughput Screen; 2022; 25(9):1565-1575. PubMed ID: 34259140
[TBL] [Abstract][Full Text] [Related]
55. Evaluation of green tea polyphenols as novel corona virus (SARS CoV-2) main protease (Mpro) inhibitors - an
Ghosh R; Chakraborty A; Biswas A; Chowdhuri S
J Biomol Struct Dyn; 2021 Aug; 39(12):4362-4374. PubMed ID: 32568613
[TBL] [Abstract][Full Text] [Related]
56. Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases.
Yu Y; Tian X
Medicine (Baltimore); 2020 May; 99(19):e20183. PubMed ID: 32384511
[TBL] [Abstract][Full Text] [Related]
57. Bioactive Components of
Yuan H; Liu L; Zhou J; Zhang T; Daily JW; Park S
J Med Food; 2022 Apr; 25(4):355-366. PubMed ID: 35438554
[TBL] [Abstract][Full Text] [Related]
58. Identification of crucial genes associated with lung adenocarcinoma by bioinformatic analysis.
Dai JJ; Zhou WB; Wang B
Medicine (Baltimore); 2020 Oct; 99(44):e23052. PubMed ID: 33126397
[TBL] [Abstract][Full Text] [Related]
59. Computational drug repurposing for the identification of SARS-CoV-2 main protease inhibitors.
Fiorucci D; Milletti E; Orofino F; Brizzi A; Mugnaini C; Corelli F
J Biomol Struct Dyn; 2021 Oct; 39(16):6242-6248. PubMed ID: 32705942
[TBL] [Abstract][Full Text] [Related]
60. Clinical Value and Prospective Pathway Signaling of MicroRNA-375 in Lung Adenocarcinoma: A Study Based on the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and Bioinformatics Analysis.
Gan TQ; Chen WJ; Qin H; Huang SN; Yang LH; Fang YY; Pan LJ; Li ZY; Chen G
Med Sci Monit; 2017 May; 23():2453-2464. PubMed ID: 28533502
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]