140 related articles for article (PubMed ID: 35092415)
21. Shared biomarkers and mechanisms in idiopathic pulmonary fibrosis and non-small cell lung cancer.
Ding X; Liu H; Xu Q; Ji T; Chen R; Liu Z; Dai J
Int Immunopharmacol; 2024 Jun; 134():112162. PubMed ID: 38703565
[TBL] [Abstract][Full Text] [Related]
22. Microarray analysis of the expression profile of immune-related gene in rapid recurrence early-stage lung adenocarcinoma.
Liu J; Yang X; Zhang L; Yang B; Rao W; Li M; Dai N; Yang Y; Qian C; Zhang L; Xiao H; Wang D
J Cancer Res Clin Oncol; 2020 Sep; 146(9):2299-2310. PubMed ID: 32556504
[TBL] [Abstract][Full Text] [Related]
23. 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]
24. Identification and Integrate Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer Based on Bioinformatics Analysis.
Gong K; Zhou H; Liu H; Xie T; Luo Y; Guo H; Chen J; Tan Z; Yang Y; Xie L
Technol Cancer Res Treat; 2021; 20():15330338211060202. PubMed ID: 34825846
[No Abstract] [Full Text] [Related]
25. S100A12 as Biomarker of Disease Severity and Prognosis in Patients With Idiopathic Pulmonary Fibrosis.
Li Y; He Y; Chen S; Wang Q; Yang Y; Shen D; Ma J; Wen Z; Ning S; Chen H
Front Immunol; 2022; 13():810338. PubMed ID: 35185901
[TBL] [Abstract][Full Text] [Related]
26. Identification of CAV1 and DCN as potential predictive biomarkers for lung adenocarcinoma.
Yan Y; Xu Z; Qian L; Zeng S; Zhou Y; Chen X; Wei J; Gong Z
Am J Physiol Lung Cell Mol Physiol; 2019 Apr; 316(4):L630-L643. PubMed ID: 30604627
[TBL] [Abstract][Full Text] [Related]
27. Exploration of estrogen receptor-associated hub genes and potential molecular mechanisms in non-smoking females with lung adenocarcinoma using integrated bioinformatics analysis.
Wang H; Zhang Z; Xu K; Wei S; Li L; Wang L
Oncol Lett; 2019 Nov; 18(5):4605-4612. PubMed ID: 31611968
[TBL] [Abstract][Full Text] [Related]
28. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
29. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
Fang E; Zhang X
Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
[TBL] [Abstract][Full Text] [Related]
30. Identification and validation of autophagy-related gene expression for predicting prognosis in patients with idiopathic pulmonary fibrosis.
Huang G; Xu X; Ju C; Zhong N; He J; Tang XX
Front Immunol; 2022; 13():997138. PubMed ID: 36211385
[TBL] [Abstract][Full Text] [Related]
31. Identification and Integrated Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer.
Liu X; Liu X; Li J; Ren F
Med Sci Monit; 2019 Dec; 25():9280-9289. PubMed ID: 31805030
[TBL] [Abstract][Full Text] [Related]
32. Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis.
Wu JR; Zhao Y; Zhou XP; Qin X
Biomed Pharmacother; 2020 Jan; 121():109647. PubMed ID: 31733575
[TBL] [Abstract][Full Text] [Related]
33. [Identification of SULF1 as a Shared Gene in Idiopathic Pulmonary Fibrosis
and Lung Adenocarcinoma].
Wang J; Lu L; He X; Ma L; Chen T; Li G; Yu H
Zhongguo Fei Ai Za Zhi; 2023 Sep; 26(9):669-683. PubMed ID: 37985153
[TBL] [Abstract][Full Text] [Related]
34. Identification of lung adenocarcinoma biomarkers based on bioinformatic analysis and human samples.
Dong S; Men W; Yang S; Xu S
Oncol Rep; 2020 May; 43(5):1437-1450. PubMed ID: 32323809
[TBL] [Abstract][Full Text] [Related]
35. A low DNA methylation epigenotype in lung squamous cell carcinoma and its association with idiopathic pulmonary fibrosis and poorer prognosis.
Hata A; Nakajima T; Matsusaka K; Fukuyo M; Morimoto J; Yamamoto T; Sakairi Y; Rahmutulla B; Ota S; Wada H; Suzuki H; Matsubara H; Yoshino I; Kaneda A
Int J Cancer; 2020 Jan; 146(2):388-399. PubMed ID: 31241180
[TBL] [Abstract][Full Text] [Related]
36. Low expression of bestrophin-2 is associated with poor prognosis in colon cancer.
Wang L; Zhu H; Sun W; Liang L; Li H; Han C; Huang W; Zhao B; Peng P; Qin M; Shi L; Mo Y; Huang J
Gene; 2022 Mar; 813():146117. PubMed ID: 34902511
[TBL] [Abstract][Full Text] [Related]
37. Identification of hub genes associated with prognosis, diagnosis, immune infiltration and therapeutic drug in liver cancer by integrated analysis.
Lei X; Zhang M; Guan B; Chen Q; Dong Z; Wang C
Hum Genomics; 2021 Jun; 15(1):39. PubMed ID: 34187556
[TBL] [Abstract][Full Text] [Related]
38. Comprehensive analysis of non-small-cell lung cancer microarray datasets identifies several prognostic biomarkers.
Qin X; Chen R; Xiong R; Tan Z; Gao S; Lin C; Huo T
Future Oncol; 2019 Sep; 15(27):3135-3148. PubMed ID: 31426680
[No Abstract] [Full Text] [Related]
39. Combining single-cell RNA sequencing data and transcriptomic data to unravel potential mechanisms and signature genes of the progression of idiopathic pulmonary fibrosis to lung adenocarcinoma and predict therapeutic agents.
Zhou X; Tan F; Zhang S; Zhang T
Funct Integr Genomics; 2023 Nov; 23(4):346. PubMed ID: 37996625
[TBL] [Abstract][Full Text] [Related]
40. Target gene screening and evaluation of prognostic values in non-small cell lung cancers by bioinformatics analysis.
Piao J; Sun J; Yang Y; Jin T; Chen L; Lin Z
Gene; 2018 Mar; 647():306-311. PubMed ID: 29305979
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]